diff --git a/.github/workflows/website.yml b/.github/workflows/website.yml index ac8e4f3..bbc6395 100644 --- a/.github/workflows/website.yml +++ b/.github/workflows/website.yml @@ -46,9 +46,20 @@ jobs: with: name: 'Data' + - name: Run the test that generates the plots report. + run: | + pytest tests/IVIMmodels/unit_tests/test_ivim_fit.py --json-report + mv .report.json utilities/ + python utilities/report-summary.py .report.json report-summary.json + + - name: 'Filter and compress results file.' + run: python utilities/reduce_output_size.py test_output.csv test_output.csv.gz + - name: move data to the dashboard folder run: | - mv test_output.csv website/dashboard + mv test_output.csv.gz website/dashboard + mv report-summary.json website/dashboard + - name: Build documentation run: | diff --git a/.gitignore b/.gitignore index f494295..e104617 100644 --- a/.gitignore +++ b/.gitignore @@ -10,6 +10,8 @@ __pycache__/ *.raw bvals.txt download +.Introduction_to_TF24_IVIM-MRI_CodeCollection_github_and_IVIM_Analysis_using_Python.ipynb +.ipynb_checkpoints md5sums.txt *.gz *.zip @@ -22,3 +24,5 @@ md5sums.txt nosetests.xml coverage.xml *.pyc +phantoms/MR_XCAT_qMRI/*.json +phantoms/MR_XCAT_qMRI/*.txt \ No newline at end of file diff --git a/README.md b/README.md index bf18eb6..0d47aec 100644 --- a/README.md +++ b/README.md @@ -6,6 +6,8 @@ The ISMRM Open Science Initiative for Perfusion Imaging (OSIPI) is an initiative This **IVIM code collection** code library is maintained by OSIPI [Taskforce 2.4](https://www.osipi.org/task-force-2-4/) (*currently not available*) and aims to collect, test and share open-source code related to intravoxel incoherent motion (IVIM) analysis of diffusion encoded MRI data to be used in research and software development. Code contributions can include any code related IVIM analysis (denoising, motion correction, model fitting, etc.), but at an initial phase, development of tests and other features of the repository will predominantly focus on fitting algorithms. A goal of the IVIM OSIPI task force is to develop a fully tested and harmonized code library, building upon the contributions obtained through this initiative. Documentation and analysis are available on the [OSIPI TF2.4](https://osipi.github.io/TF2.4_IVIM-MRI_CodeCollection/). +We have some useful tools and further documentation on https://osipi.github.io/TF2.4_IVIM-MRI_CodeCollection/. + ## How to contribute If you would like to get involve in OSIPI and work within the task force, please email the contacts listed on our website. @@ -17,6 +19,9 @@ If you would like to contribute with code, please follow the instructions below: * [Guidelines for IVIM code contribution](doc/guidelines_for_contributions.md) * [Guidelines to creating a test file](doc/creating_test.md) +If you would like to use code from the repository and/or are new to Github or IVIM, please see the jupyter notebook below: +* [Introduction to TF2.4_IVIM-MRI_CodeCollection github and IVIM Analysis using Python](doc/Introduction_to_TF24_IVIM-MRI_CodeCollection_github_and_IVIM_Analysis_using_Python.ipynb) + ## Repository Organization The repository is organized in four main folders along with configuration files for automated testing. @@ -32,4 +37,4 @@ The **utils** folder contains various helpful tools. ## View Testing Reports [![Unit tests](https://github.com/OSIPI/TF2.4_IVIM-MRI_CodeCollection/actions/workflows/unit_test.yml/badge.svg?branch=main)](https://github.com/OSIPI/TF2.4_IVIM-MRI_CodeCollection/actions/workflows/unit_test.yml) [![Algorithm Analysis](https://github.com/OSIPI/TF2.4_IVIM-MRI_CodeCollection/actions/workflows/analysis.yml/badge.svg?branch=main)](https://github.com/OSIPI/TF2.4_IVIM-MRI_CodeCollection/actions/workflows/analysis.yml) -[![Build & Deploy Documentation](https://github.com/OSIPI/TF2.4_IVIM-MRI_CodeCollection/actions/workflows/documentation.yml/badge.svg?branch=main)](https://github.com/OSIPI/TF2.4_IVIM-MRI_CodeCollection/actions/workflows/documentation.yml) +[![Build & Deploy Website](https://github.com/OSIPI/TF2.4_IVIM-MRI_CodeCollection/actions/workflows/website.yml/badge.svg?branch=main)](https://github.com/OSIPI/TF2.4_IVIM-MRI_CodeCollection/actions/workflows/website.yml) diff --git a/doc/Introduction_to_TF24_IVIM-MRI_CodeCollection_github_and_IVIM_Analysis_using_Python.ipynb b/doc/Introduction_to_TF24_IVIM-MRI_CodeCollection_github_and_IVIM_Analysis_using_Python.ipynb new file mode 100644 index 0000000..a211bc6 --- /dev/null +++ b/doc/Introduction_to_TF24_IVIM-MRI_CodeCollection_github_and_IVIM_Analysis_using_Python.ipynb @@ -0,0 +1,1107 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "6507aec3", + "metadata": {}, + "source": [ + "# Introduction to TF2.4_IVIM-MRI_CodeCollection github and IVIM Analysis using Python" + ] + }, + { + "attachments": { + "image-2.png": { + "image/png": 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" + } + }, + "cell_type": "markdown", + "id": "878bbab6", + "metadata": {}, + "source": [ + "# Installation\n", + "\n", + "First, download the TF2.4_IVIM-MRI_CodeCollection github as zip-folder by clicking on Code > Download ZIP:\n", + "\n", + "![image-2.png](attachment:image-2.png)\n", + "\n", + "If you haven't done so already, install Anaconda for your pc environment: https://www.anaconda.com/download \n", + "\n", + "Open Anaconda and install Jupyter Notebook. Once this is installed, you can launch Jupyter Notebook and navigate to this notebook in your local download of the github repository.\n", + "\n", + "Run the cells by clicking on 'Run'-> 'Run selected cell'\n", + "If you see [*] in front of the cell, this means its running. " + ] + }, + { + "cell_type": "markdown", + "id": "daac03e5", + "metadata": {}, + "source": [ + "## Install and import necessary libraries\n", + "\n", + "If you have not used python before, we need to ensure that you have downloaded the required packages. \n", + "Open anaconda prompt and install the required packages:" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "56273b2a", + "metadata": {}, + "outputs": [], + "source": [ + "# install packages through anaconda prompt\n", + "pip3 install numpy\n", + "pip3 install matplotlib\n", + "pip3 install scipy\n", + "pip3 install nibabel" + ] + }, + { + "cell_type": "markdown", + "id": "22c389e7-ae30-443f-bef2-32d5effc7fa1", + "metadata": {}, + "source": [ + "Once all the packages are installed, you need to import them:" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "9654f12d-6cfc-4639-884e-d7f2b23fa59f", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from scipy.optimize import curve_fit\n", + "import sys\n", + "sys.path.insert(0, '..')\n", + "from utilities.data_simulation.Download_data import download_data\n", + "import nibabel\n", + "import os" + ] + }, + { + "cell_type": "markdown", + "id": "54d26e15", + "metadata": {}, + "source": [ + "# Loading Data\n", + "\n", + "Due to the large data size, we stored example data elsewhere: https://zenodo.org/records/10696605\n", + "\n", + "Make sure you have enough space on your computer to store the data!" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "d06c9f5a", + "metadata": {}, + "outputs": [ + { + "ename": "FileNotFoundError", + "evalue": "[WinError 2] The system cannot find the file specified", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[4], line 2\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;66;03m# Download the data. \u001b[39;00m\n\u001b[1;32m----> 2\u001b[0m download_data()\n", + "File \u001b[1;32m~\\Documents\\GitHub\\TF2.4_IVIM-MRI_CodeCollection\\doc\\..\\utilities\\data_simulation\\Download_data.py:25\u001b[0m, in \u001b[0;36mdownload_data\u001b[1;34m(force)\u001b[0m\n\u001b[0;32m 23\u001b[0m \u001b[38;5;66;03m# Change to the specified folder\u001b[39;00m\n\u001b[0;32m 24\u001b[0m os\u001b[38;5;241m.\u001b[39mchdir(os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mjoin(base_folder,\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdownload\u001b[39m\u001b[38;5;124m'\u001b[39m))\n\u001b[1;32m---> 25\u001b[0m subprocess\u001b[38;5;241m.\u001b[39mcheck_call([\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mzenodo_get\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhttps://zenodo.org/records/10696605\u001b[39m\u001b[38;5;124m'\u001b[39m])\n\u001b[0;32m 26\u001b[0m \u001b[38;5;66;03m# Open the zip file\u001b[39;00m\n\u001b[0;32m 27\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m force \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mexists(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mData\u001b[39m\u001b[38;5;124m'\u001b[39m):\n\u001b[0;32m 28\u001b[0m \u001b[38;5;66;03m# Unzip the file\u001b[39;00m\n", + "File \u001b[1;32m~\\anaconda3\\envs\\OSIPI_IVIM\\Lib\\subprocess.py:408\u001b[0m, in \u001b[0;36mcheck_call\u001b[1;34m(*popenargs, **kwargs)\u001b[0m\n\u001b[0;32m 398\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcheck_call\u001b[39m(\u001b[38;5;241m*\u001b[39mpopenargs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m 399\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Run command with arguments. Wait for command to complete. If\u001b[39;00m\n\u001b[0;32m 400\u001b[0m \u001b[38;5;124;03m the exit code was zero then return, otherwise raise\u001b[39;00m\n\u001b[0;32m 401\u001b[0m \u001b[38;5;124;03m CalledProcessError. The CalledProcessError object will have the\u001b[39;00m\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 406\u001b[0m \u001b[38;5;124;03m check_call([\"ls\", \"-l\"])\u001b[39;00m\n\u001b[0;32m 407\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[1;32m--> 408\u001b[0m retcode \u001b[38;5;241m=\u001b[39m call(\u001b[38;5;241m*\u001b[39mpopenargs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m 409\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m retcode:\n\u001b[0;32m 410\u001b[0m cmd \u001b[38;5;241m=\u001b[39m kwargs\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124margs\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "File \u001b[1;32m~\\anaconda3\\envs\\OSIPI_IVIM\\Lib\\subprocess.py:389\u001b[0m, in \u001b[0;36mcall\u001b[1;34m(timeout, *popenargs, **kwargs)\u001b[0m\n\u001b[0;32m 381\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcall\u001b[39m(\u001b[38;5;241m*\u001b[39mpopenargs, timeout\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m 382\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Run command with arguments. Wait for command to complete or\u001b[39;00m\n\u001b[0;32m 383\u001b[0m \u001b[38;5;124;03m timeout, then return the returncode attribute.\u001b[39;00m\n\u001b[0;32m 384\u001b[0m \n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 387\u001b[0m \u001b[38;5;124;03m retcode = call([\"ls\", \"-l\"])\u001b[39;00m\n\u001b[0;32m 388\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[1;32m--> 389\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m Popen(\u001b[38;5;241m*\u001b[39mpopenargs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;28;01mas\u001b[39;00m p:\n\u001b[0;32m 390\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m 391\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m p\u001b[38;5;241m.\u001b[39mwait(timeout\u001b[38;5;241m=\u001b[39mtimeout)\n", + "File \u001b[1;32m~\\anaconda3\\envs\\OSIPI_IVIM\\Lib\\subprocess.py:1026\u001b[0m, in \u001b[0;36mPopen.__init__\u001b[1;34m(self, args, bufsize, executable, stdin, stdout, stderr, preexec_fn, close_fds, shell, cwd, env, universal_newlines, startupinfo, creationflags, restore_signals, start_new_session, pass_fds, user, group, extra_groups, encoding, errors, text, umask, pipesize, process_group)\u001b[0m\n\u001b[0;32m 1022\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtext_mode:\n\u001b[0;32m 1023\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstderr \u001b[38;5;241m=\u001b[39m io\u001b[38;5;241m.\u001b[39mTextIOWrapper(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstderr,\n\u001b[0;32m 1024\u001b[0m encoding\u001b[38;5;241m=\u001b[39mencoding, errors\u001b[38;5;241m=\u001b[39merrors)\n\u001b[1;32m-> 1026\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_execute_child(args, executable, preexec_fn, close_fds,\n\u001b[0;32m 1027\u001b[0m pass_fds, cwd, env,\n\u001b[0;32m 1028\u001b[0m startupinfo, creationflags, shell,\n\u001b[0;32m 1029\u001b[0m p2cread, p2cwrite,\n\u001b[0;32m 1030\u001b[0m c2pread, c2pwrite,\n\u001b[0;32m 1031\u001b[0m errread, errwrite,\n\u001b[0;32m 1032\u001b[0m restore_signals,\n\u001b[0;32m 1033\u001b[0m gid, gids, uid, umask,\n\u001b[0;32m 1034\u001b[0m start_new_session, process_group)\n\u001b[0;32m 1035\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m:\n\u001b[0;32m 1036\u001b[0m \u001b[38;5;66;03m# Cleanup if the child failed starting.\u001b[39;00m\n\u001b[0;32m 1037\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m f \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mfilter\u001b[39m(\u001b[38;5;28;01mNone\u001b[39;00m, (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstdin, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstdout, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstderr)):\n", + "File \u001b[1;32m~\\anaconda3\\envs\\OSIPI_IVIM\\Lib\\subprocess.py:1538\u001b[0m, in \u001b[0;36mPopen._execute_child\u001b[1;34m(self, args, executable, preexec_fn, close_fds, pass_fds, cwd, env, startupinfo, creationflags, shell, p2cread, p2cwrite, c2pread, c2pwrite, errread, errwrite, unused_restore_signals, unused_gid, unused_gids, unused_uid, unused_umask, unused_start_new_session, unused_process_group)\u001b[0m\n\u001b[0;32m 1536\u001b[0m \u001b[38;5;66;03m# Start the process\u001b[39;00m\n\u001b[0;32m 1537\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m-> 1538\u001b[0m hp, ht, pid, tid \u001b[38;5;241m=\u001b[39m _winapi\u001b[38;5;241m.\u001b[39mCreateProcess(executable, args,\n\u001b[0;32m 1539\u001b[0m \u001b[38;5;66;03m# no special security\u001b[39;00m\n\u001b[0;32m 1540\u001b[0m \u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[0;32m 1541\u001b[0m \u001b[38;5;28mint\u001b[39m(\u001b[38;5;129;01mnot\u001b[39;00m close_fds),\n\u001b[0;32m 1542\u001b[0m creationflags,\n\u001b[0;32m 1543\u001b[0m env,\n\u001b[0;32m 1544\u001b[0m cwd,\n\u001b[0;32m 1545\u001b[0m startupinfo)\n\u001b[0;32m 1546\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[0;32m 1547\u001b[0m \u001b[38;5;66;03m# Child is launched. Close the parent's copy of those pipe\u001b[39;00m\n\u001b[0;32m 1548\u001b[0m \u001b[38;5;66;03m# handles that only the child should have open. You need\u001b[39;00m\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 1551\u001b[0m \u001b[38;5;66;03m# pipe will not close when the child process exits and the\u001b[39;00m\n\u001b[0;32m 1552\u001b[0m \u001b[38;5;66;03m# ReadFile will hang.\u001b[39;00m\n\u001b[0;32m 1553\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_close_pipe_fds(p2cread, p2cwrite,\n\u001b[0;32m 1554\u001b[0m c2pread, c2pwrite,\n\u001b[0;32m 1555\u001b[0m errread, errwrite)\n", + "\u001b[1;31mFileNotFoundError\u001b[0m: [WinError 2] The system cannot find the file specified" + ] + } + ], + "source": [ + "# Download the data. \n", + "download_data()" + ] + }, + { + "cell_type": "markdown", + "id": "c4068856-a409-4db2-985c-daea0c519493", + "metadata": {}, + "source": [ + "If you have problems downloading the data. You can also download it directly from the zenodo link above, and paste the 'Data' folder into the 'download' folder within your 'TF2.4_IVIM-MRI_CodeCollection' folder." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "6bd0f61a", + "metadata": {}, + "outputs": [], + "source": [ + "# Load the data.\n", + "\n", + "# load and init b-values\n", + "bvec = np.genfromtxt('../download/Data/brain.bvec')\n", + "bval = np.genfromtxt('../download/Data/brain.bval')\n", + "\n", + "#load nifti\n", + "data = nibabel.load('../download/Data/brain.nii.gz')\n", + "datas = data.get_fdata() \n" + ] + }, + { + "cell_type": "markdown", + "id": "ea419254-7a89-40fe-ac66-ebaeb1486fbc", + "metadata": {}, + "source": [ + "Now your downloaded data is ready, and you can apply the code within the repository" + ] + }, + { + "cell_type": "markdown", + "id": "bb93f2ea", + "metadata": {}, + "source": [ + "# Data Preprocessing for one voxel\n", + "We will demonstrate an IVIM data analysis pipeline by showing the analysis of one voxel.\n", + "First, we need to pick one voxel in tissue containing the signal as function of b-values. We will start by plotting the signal of this voxel at b=0.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "9c977b4e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#choose a voxel\n", + "x=60\n", + "y=60\n", + "z=30\n", + "sx, sy, sz, n_bval = datas.shape \n", + "\n", + "#plot example of b=0 image with the voxel that we chose\n", + "voxelmask=np.zeros([sx,sy])\n", + "voxelmask[x,y]=1\n", + "fig = plt.figure(figsize=(7, 4))\n", + "plt.imshow(np.squeeze(datas[:,:,z,0]), cmap='gray')\n", + "plt.imshow(np.squeeze(voxelmask), vmin=0, vmax=2, cmap='hot', alpha=.8)\n", + "plt.title('image at b=0 mm2/s')\n", + "plt.colorbar()" + ] + }, + { + "cell_type": "markdown", + "id": "47fa6ba5", + "metadata": {}, + "source": [ + "The plot shows the signal of the selected voxel at b=0. Now, we need to normalize the data:" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "120fc47a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'normalized signal as function of b-value')" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot example signal as function of b-values without normalization\n", + "data_vox=np.squeeze(datas[x,y,z,:])\n", + "fig = plt.figure(figsize=(15, 4))\n", + "plt.subplot(121)\n", + "plt.plot(bval,data_vox,'x')\n", + "plt.xlabel('b-value [s/mm^2]')\n", + "plt.ylabel('S')\n", + "plt.title('signal as function of b-value')\n", + "\n", + "# normalise data\n", + "selsb = np.array(bval) == 0\n", + "S0 = np.nanmean(data_vox[selsb], axis=0).astype('" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot log(signal) as function of b-values \n", + "fig = plt.figure(figsize=(7, 4))\n", + "plt.plot(bval,data_vox,'x')\n", + "plt.ylabel('log(S/S0)')\n", + "plt.xlabel('b-value [s/mm^2]')\n", + "plt.yscale(\"log\")" + ] + }, + { + "cell_type": "markdown", + "id": "37bf860c-257c-4ace-9fae-8d515a3efe47", + "metadata": {}, + "source": [ + "This plot shows the log(signal) from our one voxel as a function of b-values.\n", + "\n", + "We will now plot the signal of this voxel for each direction independently." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "b183a0dc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'direction 6')" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot signal as function of b-values for only 1 direction\n", + "fig = plt.figure(figsize=(15, 15))\n", + "plt.subplot(321)\n", + "direction = 1 #choose: 1, 2, 3, 4, 5, or 6\n", + "signal_1dir=data_vox[direction:None:6]\n", + "signal_1dir=np.insert(signal_1dir, 0, 1)\n", + "plt.plot(np.unique(bval),signal_1dir,'x')\n", + "plt.ylabel('S/S0')\n", + "plt.xlabel('b-value [s/mm^2]')\n", + "plt.title('direction {}'.format(direction))\n", + "\n", + "plt.subplot(322)\n", + "direction = 2 #choose: 1, 2, 3, 4, 5, or 6\n", + "signal_1dir=data_vox[direction:None:6]\n", + "signal_1dir=np.insert(signal_1dir, 0, 1)\n", + "plt.plot(np.unique(bval),signal_1dir,'x')\n", + "plt.ylabel('S/S0')\n", + "plt.xlabel('b-value [s/mm^2]')\n", + "plt.title('direction {}'.format(direction))\n", + "\n", + "plt.subplot(323)\n", + "direction = 3 #choose: 1, 2, 3, 4, 5, or 6\n", + "signal_1dir=data_vox[direction:None:6]\n", + "signal_1dir=np.insert(signal_1dir, 0, 1)\n", + "plt.plot(np.unique(bval),signal_1dir,'x')\n", + "plt.ylabel('S/S0')\n", + "plt.xlabel('b-value [s/mm^2]')\n", + "plt.title('direction {}'.format(direction))\n", + "\n", + "plt.subplot(324)\n", + "direction = 4 #choose: 1, 2, 3, 4, 5, or 6\n", + "signal_1dir=data_vox[direction:None:6]\n", + "signal_1dir=np.insert(signal_1dir, 0, 1)\n", + "plt.plot(np.unique(bval),signal_1dir,'x')\n", + "plt.ylabel('S/S0')\n", + "plt.xlabel('b-value [s/mm^2]')\n", + "plt.title('direction {}'.format(direction))\n", + "\n", + "plt.subplot(325)\n", + "direction = 5 #choose: 1, 2, 3, 4, 5, or 6\n", + "signal_1dir=data_vox[direction:None:6]\n", + "signal_1dir=np.insert(signal_1dir, 0, 1)\n", + "plt.plot(np.unique(bval),signal_1dir,'x')\n", + "plt.ylabel('S/S0')\n", + "plt.xlabel('b-value [s/mm^2]')\n", + "plt.title('direction {}'.format(direction))\n", + "\n", + "plt.subplot(326)\n", + "direction = 6 #choose: 1, 2, 3, 4, 5, or 6\n", + "signal_1dir=data_vox[direction:None:6]\n", + "signal_1dir=np.insert(signal_1dir, 0, 1)\n", + "plt.plot(np.unique(bval),signal_1dir,'x')\n", + "plt.ylabel('S/S0')\n", + "plt.xlabel('b-value [s/mm^2]')\n", + "plt.title('direction {}'.format(direction))" + ] + }, + { + "cell_type": "markdown", + "id": "237ad72e", + "metadata": {}, + "source": [ + "# IVIM Analysis: choose an algorithm" + ] + }, + { + "cell_type": "markdown", + "id": "b1d0681d", + "metadata": {}, + "source": [ + "For the IVIM analysis, you can choose specific code from the repository. First check if you have installed the required packages. Otherwise, install these through the anaconda prompt:\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "419d99bc-d4e3-4bfc-b41b-99c2afb48512", + "metadata": {}, + "outputs": [], + "source": [ + "# install packages through anaconda prompt\n", + "pip3 install tqdm\n", + "pip3 install dipy\n", + "pip3 install joblib" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "79ac1e5c-ca18-462d-8030-c20fae62a211", + "metadata": {}, + "outputs": [], + "source": [ + "Code submissions are located in the src/original folder, where submissions are named as `_`\n", + "The src/standardized folder contains the standardised version of each code submission. Here, a class is created following a naming convention (`__`), with `__init__()` and `ivim_fit()` methods that integrate well with the OsipiBase class\n", + "\n", + "## The `OsipiBase` class\n", + "The usage of the OsipiBase class mainly consists of running the osipi_fit() method. In this method, the inputs from `__init__()` of the standardised version of a code submission, and the signals and b-values input to `osipi_fit()` is processed and fed into the `ivim_fit()` function.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "b7e8872a", + "metadata": {}, + "outputs": [], + "source": [ + "from src.wrappers.ivim_fit import ivim_fit\n", + "from src.wrappers.OsipiBase import OsipiBase" + ] + }, + { + "cell_type": "markdown", + "id": "e6d6d883", + "metadata": {}, + "source": [ + "In the folder TF2.4_IVIM-MRI_CodeCollection/src/standardized/ you can see all the algorithms that have been uploaded and standardized. " + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "12deef83", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['ETP_SRI_LinearFitting.py',\n", + " 'IAR_LU_biexp.py',\n", + " 'IAR_LU_modified_mix.py',\n", + " 'IAR_LU_modified_topopro.py',\n", + " 'IAR_LU_segmented_2step.py',\n", + " 'IAR_LU_segmented_3step.py',\n", + " 'IAR_LU_subtracted.py',\n", + " 'OGC_AmsterdamUMC_Bayesian_biexp.py',\n", + " 'OGC_AmsterdamUMC_biexp.py',\n", + " 'OGC_AmsterdamUMC_biexp_segmented.py',\n", + " 'OJ_GU_seg.py',\n", + " 'PvH_KB_NKI_IVIMfit.py',\n", + " 'PV_MUMC_biexp.py',\n", + " '__init__.py',\n", + " '__pycache__']" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "currentdir = os.path.dirname(os.getcwd())\n", + "os.listdir('{}\\\\src/standardized'.format(currentdir))\n" + ] + }, + { + "cell_type": "markdown", + "id": "a299a0cd", + "metadata": {}, + "source": [ + "Choose one of these algorithms, for example: 'IAR_LU_biexp' or 'OGC_AmsterdamUMC_Bayesian_biexp', and import it:" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "f695e259", + "metadata": {}, + "outputs": [], + "source": [ + "from src.standardized.IAR_LU_biexp import IAR_LU_biexp\n", + "from src.standardized.OGC_AmsterdamUMC_Bayesian_biexp import OGC_AmsterdamUMC_Bayesian_biexp" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "6b7ab9cb", + "metadata": {}, + "outputs": [], + "source": [ + "algorithm1=IAR_LU_biexp()\n", + "algorithm2=OGC_AmsterdamUMC_Bayesian_biexp()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "7c9060bb", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 1/1.0 [00:00<00:00, 8.70it/s]\n" + ] + }, + { + "data": { + "text/plain": [ + "array([0.04609779, 0.01136011, 0.00071134])" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#apply algorithm 1 to the diffusion data in 1 direction to obtain f, D* and D\n", + "OsipiBase.osipi_fit(algorithm1,signal_1dir, np.unique(bval))\n" + ] + }, + { + "cell_type": "markdown", + "id": "3e29d234-5f96-47cd-8c73-be5899b36a0a", + "metadata": {}, + "source": [ + "The values displayed above are the estimated f, D* and D values by algorithm 1." + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "9fee9a3e", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 1/1.0 [00:00<00:00, 9.37it/s]\n" + ] + }, + { + "data": { + "text/plain": [ + "array([0.04611688, 0.01135417, 0.0007113 ])" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#apply algorithm 2 to the diffusion data in 1 direction to obtain f, D* and D\n", + "OsipiBase.osipi_fit(algorithm2,signal_1dir, np.unique(bval)) " + ] + }, + { + "cell_type": "markdown", + "id": "adbe417e", + "metadata": {}, + "source": [ + "The values displayed above are the estimated f, D* and D values by algorithm 2.\n", + "\n", + "You can already see that the different algorithm give slightly different estimates for f, D* and D. Now let's visualize the model fits:" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "e35f4f51", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 1/1.0 [00:00<00:00, 99.68it/s]\n", + "100%|██████████| 1/1.0 [00:00<00:00, 21.91it/s]\n" + ] + }, + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'algorithm 2')" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = plt.figure(figsize=(10, 3))\n", + "\n", + "#apply algorithm 1 to the diffusion data in 1 direction to obtain f, D* and D\n", + "[f, Dstar, D] = OsipiBase.osipi_fit(algorithm1,signal_1dir, np.unique(bval)) #f, D*, D\"\n", + "\n", + "#plot the results of algorithm 1\n", + "plt.subplot(121)\n", + "plt.plot(np.unique(bval),signal_1dir,'x')\n", + "plt.plot(np.unique(bval),f*np.exp(-np.unique(bval)*Dstar)+(1-f)*np.exp(-np.unique(bval)*D))\n", + "plt.plot(np.unique(bval),f*np.exp(-np.unique(bval)*Dstar))\n", + "plt.plot(np.unique(bval),(1-f)*np.exp(-np.unique(bval)*D))\n", + "plt.legend(['measured data','model fit','D','D*'])\n", + "plt.ylabel('S/S0')\n", + "plt.xlabel('b-value [s/mm^2]')\n", + "plt.title('algorithm 1')\n", + " \n", + "#apply algorithm 2 to the diffusion data in 1 direction to obtain f, D* and D\n", + "[f, Dstar, D] = OsipiBase.osipi_fit(algorithm2,signal_1dir, np.unique(bval)) #f, D*, D\"\n", + "\n", + "#plot the results of algorithm 2\n", + "plt.subplot(122)\n", + "plt.plot(np.unique(bval),signal_1dir,'x')\n", + "plt.plot(np.unique(bval),f*np.exp(-np.unique(bval)*Dstar)+(1-f)*np.exp(-np.unique(bval)*D))\n", + "plt.plot(np.unique(bval),f*np.exp(-np.unique(bval)*Dstar))\n", + "plt.plot(np.unique(bval),(1-f)*np.exp(-np.unique(bval)*D))\n", + "plt.legend(['measured data','model fit','D','D*'])\n", + "plt.ylabel('S/S0')\n", + "plt.xlabel('b-value [s/mm^2]')\n", + "plt.title('algorithm 2')\n" + ] + }, + { + "cell_type": "markdown", + "id": "328a94f6-96d1-4eb5-a71d-2ccc077a2f6a", + "metadata": {}, + "source": [ + "These results are for one voxel, but this can also be done for multiple voxels." + ] + }, + { + "cell_type": "markdown", + "id": "622d6b46", + "metadata": {}, + "source": [ + "## Perform IVIM model fitting for all voxels within a slice\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "fd1d23a4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ 0., 10., 20., 30., 40., 50., 60., 100., 200.,\n", + " 300., 400., 500., 600., 800., 1000.])" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "slice_data_1dir.shape\n", + "np.unique(bval)" + ] + }, + { + "cell_type": "markdown", + "id": "9fa1c66b-a2ac-41bd-b05b-9c9cb011ad1c", + "metadata": {}, + "source": [ + "These are the b-values.\n", + "\n", + "We will now fit the data of one slice in a chosen direction. \n", + "To fit the data in a certain direction, adapt direction = .. to the direction that you would like to fit." + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "71970925", + "metadata": {}, + "outputs": [], + "source": [ + "#pick a slice\n", + "slice_data=np.squeeze(datas[:,:,30,:])\n", + "#fit the IVIM model for 1 direction\n", + "direction = 6 #choose: 1, 2, 3, 4, 5, or 6\n", + "slice_data_1dir=slice_data[:,:,direction:None:6] #pick the signal with the same bvec\n", + "slice_data_1dir=np.insert(slice_data_1dir, 0 , slice_data[:,:,0], axis=2) #add S0\n", + "#reshape data for fitting\n", + "sx, sy, n_bval = slice_data_1dir.shape \n", + "X_dw = np.reshape(slice_data_1dir, (sx * sy, n_bval))\n", + "#select only relevant values, delete background and noise, and normalise data\n", + "selsb = np.array(np.unique(bval)) == 0\n", + "S0 = np.nanmean(X_dw[:, selsb], axis=1)\n", + "S0[S0 != S0] = 0\n", + "S0=np.squeeze(S0)\n", + "valid_id = (S0 > (0.5 * np.median(S0[S0 > 0]))) \n", + "slice_data_norm = X_dw[valid_id, :]" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "a2865b57", + "metadata": {}, + "outputs": [], + "source": [ + "##pick a slice SECOND VERSION INCLUDES ALL DIRECTIONS IN 1 FIT\n", + "#slice_data=np.squeeze(datas[:,:,30,:])\n", + "##reshape data for fitting\n", + "#sx, sy, n_bval = slice_data.shape \n", + "#X_dw = np.reshape(slice_data, (sx * sy, n_bval))\n", + "##select only relevant values, delete background and noise, and normalise data\n", + "#selsb = np.array(bval) == 0\n", + "#S0 = np.nanmean(X_dw[:, selsb], axis=1)\n", + "#S0[S0 != S0] = 0\n", + "#S0=np.squeeze(S0)\n", + "#valid_id = (S0 > (0.5 * np.median(S0[S0 > 0]))) \n", + "#slice_data_norm = X_dw[valid_id, :]" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "d6307930", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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HsGHDVN6+jz/+GEuXLkUymcTGjRtd1z0ZGBjsBzWompqag9KgKisrjQaVAUaDOspx3nnn4dFHH0VNTQ38fj8mT56Mn//854acDAx6AaNB5QaGoI5yPPTQQwPdBAODwx6GoHKDAd1u44EHHsAxxxyDQCCASZMmGSetgYHBYQkSVG9fBpkxYAT1pz/9CQsXLsTixYvx+uuvq5BWPXecgYGBwWCHIajcYMCCJCZNmoTTTz8d999/P4D9KWtGjhyJK664Atdcc03Ga9PpNHbv3o3i4uKDSo9jYGBgYFkWmpubUVVV5ZphoycwSGLHjh0HFSQxcuRIEySRAQPig+ro6MCGDRtw7bXXqmNerxdTpkzB2rVru5VPJpO21Cq7du3CSSeddEjaamBgcGRjx44dJvHtIMWAmPj27duHVCqFiooK2/GKigrHnSmXLFmCSCSiXoacDAwM+gu93cfJCcbElxsMaJBEtrj22msRi8XUa8eOHQPdJAMDgyME/eEmMASVGwyIiW/IkCHIy8tDbW2t7XhtbS0qKyu7lff7/fD7/YeqeQYGBga9ggkzzw0GRIPy+XyYMGEC1qxZo46l02msWbPGts25gYGBweEAo0HlBgO2UHfhwoWYNWsWJk6ciDPOOAN33303WltbMXv27IFqkoGBgcFBwxBO/2PACOob3/gG9u7di0WLFqGmpgbjx4/HqlWrugVOGBgYGBgcnTgsk8Vy7YGBgYFBX9GXdUiURVu3bu11NGBzczOOPfZYsw4qA0wuPgMDA4M+wgRJ5AaGoAwMDAz6CENQuYEhKAMDA4M+whBUbmAIysDAwKCPMASVGxwWmSQMDAwMDI4+GIIyMDAw6CMOxULdF198ERdccAGqqqrg8XiwcuVKda6zsxNXX301xo0bh1AohKqqKnznO9/B7t27bXU0NDRg5syZCIfDiEajmDNnDlpaWmxl3nrrLXz2s59FIBDAyJEjcccdd3Rry+OPP46xY8ciEAhg3LhxePrpp7uNx6JFizBs2DAEg0FMmTIFW7Zs6VV/AUNQBgYGBn3GoSCo1tZWnHrqqXjggQe6nWtra8Prr7+OG264Aa+//jr+8pe/YPPmzfjyl79sKzdz5ky8++67WL16NZ588km8+OKLmDt3rjofj8dx7rnnYvTo0diwYQN+8Ytf4MYbb8SDDz6oyrz88su45JJLMGfOHGzcuBHTp0/H9OnT8c4776gyd9xxB+69914sW7YM69atQygUwtSpU9He3t6rPsM6DBGLxSwA5mVe5mVefX7FYrE+y6L33nvP2rlzZ69e77333kHfH4D1xBNPZCzz6quvWgCsjz/+2LIsy9q0aZMFwHrttddUmWeeecbyeDzWrl27LMuyrF//+tdWSUmJlUwmVZmrr77aOuGEE9T3iy++2Jo2bZrtXpMmTbJ+8IMfWJZlWel02qqsrLR+8YtfqPNNTU2W3++3Hn300V7102hQBgYGBn2E1QcNKh6P215y77u+IBaLwePxIBqNAgDWrl2LaDSKiRMnqjJTpkyB1+vFunXrVJmzzz4bPp9PlZk6dSo2b96MxsZGVWbKlCm2e02dOlXt5bdt2zbU1NTYykQiEUyaNMlxv79MMARlYGBg0Ef0haBGjhxp2+9uyZIlfW5Pe3s7rr76alxyySUqS0VNTQ2GDh1qK5efn4/S0lK1D19NTY3jPn08l6mMPC+vcyqTLUyYuYGBgcEAQt8uvq9bC3V2duLiiy+GZVlYunRpX5s3oDAalIGBgUEf0RcNKhwO2159ISiS08cff4zVq1fbiK+yshJ1dXW28l1dXWhoaFD78FVWVjru08dzmcrI8/I6pzLZwhCUgYGBQR/RF4LqL5CctmzZgn/9618oKyuznZ88eTKampqwYcMGdezZZ59FOp3GpEmTVJkXX3wRnZ2dqszq1atxwgknoKSkRJWRe/mxDPfyq66uRmVlpa1MPB7HunXrer3fnyEoAwMDgz7iUBBUS0sL3njjDbzxxhsA9gcjvPHGG9i+fTs6Ozvxta99DevXr8fy5cuRSqVQU1ODmpoadHR0AABOPPFEnHfeefj+97+PV199Ff/3f/+H+fPnY8aMGaiqqgIAfPOb34TP58OcOXPw7rvv4k9/+hPuueceLFy4ULXjyiuvxKpVq/CrX/0K77//Pm688UasX78e8+fPBwB4PB4sWLAAt9xyC/72t7/h7bffxne+8x1UVVVh+vTpvR7Yww4mzNy8zMu8+uvVH2Hmb775prV169Zevd58881e3f+5555zbP+sWbOsbdu2ufbvueeeU3XU19dbl1xyiVVUVGSFw2Fr9uzZVnNzs+0+b775pvWZz3zG8vv91vDhw63bbrutW1v+/Oc/W8cff7zl8/msk08+2Xrqqads59PptHXDDTdYFRUVlt/vt8455xxr8+bNvR5fsx+UgYHBUY3+2A/qjTfeOKj9oMaPH2/2g8oAY+IzMDAwMBiUMGHmBgYGBn2EZbKZ5wSGoAwMDAz6CENQuYEhKAMDA4N+gCGc/ochKAMDA4M+wmhQuYEhKAMDA4M+whBUbmCi+AwMDAwMBiWMBmVgYGDQRxgNKjcwBGVgYGDQRxiCyg0MQRkYGBj0EYagcgNDUAYGBgZ9hCGo3MAQlIGBgUEfYQgqNzBRfAYGBgYGgxJGgzIwMDDoI4wGlRsYgjIwMDDoIwxB5QaGoAwMDAz6CENQuYEhKAMDA4M+whBUbmAIyuCwhcfjsX03f3iDgYIhqNzAEJTBoIZOQv1Vti8wgsXA4NDAEJTBgONgieVQEZKEZVlZ39cQ2dEDo0HlBoagDAYU/UEyfSUMt+udyjuVzVSvEUJHBwxB5QaGoAwOCXpLRNmU93g88Hq96jNfbnVQIPQkGOR5t8/yuxsRZattGUF1+MMQVG7Q75kklixZgtNPPx3FxcUYOnQopk+fjs2bN9vKtLe3Y968eSgrK0NRUREuuugi1NbW9ndTDAYIkix00sj22mzKeL1eeL1e5OXlIT8/X718Pl+3V0FBgXp3e8k68vLy1Iv34Uve3+kz2+80DgNhljTIPUhQvX0ZZEa/E9QLL7yAefPm4ZVXXsHq1avR2dmJc889F62trarMj3/8Y/z973/H448/jhdeeAG7d+/GV7/61f5uisEhQl8FsJv2I186STgRh9tLb5Mbcbi9WIdT3ZLE9M86oUniyrY9BocHDEHlBv1u4lu1apXt+8MPP4yhQ4diw4YNOPvssxGLxfC73/0OK1aswBe+8AUAwEMPPYQTTzwRr7zyCs4888z+bpJBDtDfJjsnoQ3AZsLj57y8PBt56OX1ulKplKMZzu2ehC5E3Ex2kkxYPp1OI51Oq8+6UMpGQOn3MwLN4GhDzn1QsVgMAFBaWgoA2LBhAzo7OzFlyhRVZuzYsRg1ahTWrl3rSFDJZBLJZFJ9j8fjOW61QSb0hmychLrb9U7+I12TAdBNK8m2/mwgiexg2kniYVud+t9T/W6+LRN0Mbhhnk3/I6cElU6nsWDBApx11lk45ZRTAAA1NTXw+XyIRqO2shUVFaipqXGsZ8mSJbjpppty2VSDHtBbDUgel+cymbwyHZOmNh7XtRGSATUXnkun00ilUt3amok83L67HZPHdVLxer2u9bppVTqJOZGaEYiDByZIIjfIKUHNmzcP77zzDl566aU+1XPttddi4cKF6ns8HsfIkSP72jyDLJBtNF1P17j5c+S5bAhKwsmMJq91MreR2KTG49T2bIgqE3Ty0/vnZgp0qsetXYasBg8MQeUGOSOo+fPn48knn8SLL76IESNGqOOVlZXo6OhAU1OTTYuqra1FZWWlY11+vx9+vz9XTTXQcDCkJI9nIhkn/xHhpF1l2yY3UuS7fq9M5eXnnsxxfYU+XtJMSJKTWpWbmc+Y/wYWhqByg34nKMuycMUVV+CJJ57A888/j+rqatv5CRMmoKCgAGvWrMFFF10EANi8eTO2b9+OyZMn93dzDHqBTEI4G38Mv0sC0qPp8vPzu5npqDkw8k0KbalhOGk12RCIJKeehEI2xNibdVQ9tc0p0MMp0stJu9LvaUhq4GAIKjfod4KaN28eVqxYgb/+9a8oLi5WfqVIJIJgMIhIJII5c+Zg4cKFKC0tRTgcxhVXXIHJkyebCL4BRF/JKZPPyOnlVreufUnoEXUHExXXE7IxqfXkt+ptG3RTXU/aXU91GcFncKSg3wlq6dKlAID/+I//sB1/6KGH8N3vfhcAcNddd8Hr9eKiiy5CMpnE1KlT8etf/7q/m2LQAw6GlOQ5N/Jx8rek02l4PB4V8s3rec4tOCCVSqnzeri2U1BBNm3uqX89jUNPWlZfCEzWIclGBlqw33Lc5H3c/GgGuYPRoHKDnJj4ekIgEMADDzyABx54oL9vb5Al+kNjkuYp6VtyEtDSVNUTQcnrU6mULRLPsiz1nm0ggxtxZuPXcoue0/uQzXhm89+QZTONpRzPTGHp2d7XoG8wBJUbmFx8RxkymdfcyrtpTAC6hX4D2eWv07/r2pb8LDUoWdaJbNwIyKlNvTEJ6uPm5vNxaof8rrcjm8mAEyHqbXHTpvS69HMG/QNDULmBIaijAL3x8zhdK0PDnXxLALrN6J0EtzT1Od1fClr5rgcI6G0BDmhwTDMEHAiOkHV1dXUpLUy22629vR03SdxuC4rdhJkeaSjbpROfZVnK7Cf7wr66kbNb3wz6BkNQuUG/5+IzGDxwMhFlK2Qp7N1y22UiKSe4aTBugQ/ynMezPzzd5/PB7/cjGAyisLAQwWBQHdOTwzodk8liZUJYt/70RvNwarvuN5PaYLaal1M79GNuJkz9fE91GgxuvPjii7jgggtQVVUFj8eDlStX2s5bloVFixZh2LBhCAaDmDJlCrZs2WIr09DQgJkzZyIcDiMajWLOnDloaWmxlXnrrbfw2c9+FoFAACNHjsQdd9zRrS2PP/44xo4di0AggHHjxuHpp5/udVuygdGgjiBkEmTZmPZ0zcSJjPTrdXOc2z100nFqo26mAg6EnodCIZSUlMDn8yEYDKKgoAAdHR1oa2uzldfbynr56ujogGVZ6OjoQFdXF7q6utDR0aF8XDKIg+3uCU7ky7rc+upEjE5wOq6b71iPTvxu5kQTTNH/OBQaVGtrK0499VRceumljsm177jjDtx777145JFHUF1djRtuuAFTp07Fpk2bEAgEAAAzZ87Enj17VCLv2bNnY+7cuVixYgWA/UkQzj33XEyZMgXLli3D22+/jUsvvRTRaBRz584FALz88su45JJLsGTJEpx//vlYsWIFpk+fjtdff11lDMqmLdnAYx2Gv854PI5IJDLQzRhU6A05uQm9TNnCne4hNQQn4c5r5J+3Jy2EJkC+qOVEIhFUVVXB5/MhFAohEAigra0Nzc3NNpKUZj+C5JRKpdDZ2Yl0Oo329nZFUIlEAul0Gp2dnY6kwrqz0RCz8XV5PPvXg8mxdqsv073kd7dIx57a1tO9jgbEYjGEw+GDupay6O9//ztCoVCvrm1tbcUFF1yAHTt22O6fTWICj8eDJ554AtOnTwew/xlWVVXhP//zP/Ff//VfAPb3q6KiAg8//DBmzJiB9957DyeddBJee+01TJw4EcD+5N5f+tKXsHPnTlRVVWHp0qX46U9/qlLSAcA111yDlStX4v333wcAfOMb30BrayuefPJJ1Z4zzzwT48ePx7Jly7JqS7YwGtRhjkymm57Oydm3rjVxhi+Fl5MjXr6cZuRO/iP9XWoTOkHSHBcOh1FSUmLbr0m2V2Ysl5F/bIMuwPPz9//08/Pz4ff7be3n9bKdmQS+fi+SPe/Bazs7O9He3m7T1uRYOWViz5aonHxU8rnId/363mqMBt3RFw1KT9u2ePFi3Hjjjb2qa9u2baipqbEl4Y5EIpg0aRLWrl2LGTNmYO3atYhGo4qcAGDKlCnwer1Yt24dvvKVr2Dt2rU4++yzFTkBwNSpU3H77bejsbERJSUlWLt2rS31HMvQ5JhNW7KFIajDGE5klI0pj+eY1cFpNk8thOuQZJg34Sa09c+68NTJ0efzwev1wu/3o6CgAHl5efD7/fB6vQgEAvD7/SgsLMSQIUPg9XqVSS4/Px8FBQU2QrIsC11dXTaznmwTiYT3Yx28Z15eHlKpFDo6OgCgG8k4+ZD04It0Oo2CggIEg0HbWDU3N6OhoQGdnZ1obW1FV1eXMs25mfoy+aucCEpmUXciKXldpnr04waZ0ReCctKgegsmRKioqLAdl0m4a2pqMHToUNv5/Px8lJaW2sro2X9YZ01NDUpKSlBTU9PjfXpqS7YwBHWYIltycnvXfUz67F33Lbn5kDKZsTJlkpD39fl8yMvLU7ve6jvl8rMkCZ2E9FB0vS1uvi9dgyNBU0hIgS/JjcdISvzOe1Hzk5GEwWAQoVBIEVNnZ6dtTHXCkMd7Msm5nXcz/epmUbfxMSSVHfpCUOFw+KBNjEc6DEEdhuiJfPRyNDdRGMt9lfjuZB7ju1seOH2Wnk6nbWa6UCiktBMKfl1LyM/PRyAQsJnzpNDnFu4A0N7eDgBK++js7FQ+JRKWJD/2zYlgWdZJy5MkSaRSKXR1dSE/Px/FxcXIz89XZrpkMommpiZ0dXWhoKBAXct+ccyLi4tRXl5u83e1tLQgHo+js7MTLS0t6OrqUmMrn1Em35L+7HVBqfvkqLHJ56yf1+s1RDW4wUTbtbW1GDZsmDpeW1uL8ePHqzJ1dXW267q6utDQ0KCur6ysRG1tra0Mv/dURp7vqS3ZwoSZH+ZwIyd5XmoH8uWkOVFoUfhKE59OSE7mPN6ThEOHr8/nU+Y6vuR3fvb5fIpM5Qs4QBIkp66uLlv79KwK+lok2Uc3kKycQtFJ8IFAQL0Yus7xpNYkiYqaYCAQQHFxMSKRCKLRKEpKSlBcXKz6Lu/TE/Rxd9Nw9d+Bk2ar/36c2pBNm45muP03enr1F6qrq1FZWYk1a9aoY/F4HOvWrVNJuCdPnoympiZs2LBBlXn22WeRTqcxadIkVebFF19EZ2enKrN69WqccMIJKCkpUWXkfViG98mmLdnCaFCHCXojMGSgAwWnnopIN01JLQhAt4Ws8rN+jH4smukKCwuRl5enNCgn8P6yTdRqqBEBUH8UEpP8TILieJAQdC1Mz0Ahx0j6jdra2uDxeBAIBFR9vLa9vR2JREIRkNSgOjs7kUwmbYESHR0dtvaQ2IqKilT/6asqKipSJsBUKoVEIqGiDBlUITU9PXDDTatin3UNke/yc7YkZzQpZ/TFxJctWlpa8OGHH6rv27ZtwxtvvIHS0lKMGjUKCxYswC233IIxY8ao0O6qqioV6XfiiSfivPPOw/e//30sW7YMnZ2dmD9/PmbMmIGqqioAwDe/+U3cdNNNmDNnDq6++mq88847uOeee3DXXXep+1555ZX43Oc+h1/96leYNm0aHnvsMaxfvx4PPvgggP2/k57aki0MQQ1yZAp6cNIK5AxZ+kFoYpNEJEPEdXNPJjOP/mekUOcapUgkojQGKchlHQwqAOzRa9LHJE1RJEF5reyH1GBIUHo/ZHulGZDER6JKpVIqso/1JxIJxONx1YaCggJVVpoY9b5K8gaAUChkI4SCggLlf+AYNDU1IRaLob29HR0dHd3q43jpW5HoBCMJRdeKZAYOOZby3RBS9jgUBLV+/Xp8/vOfV98ZSTdr1iw8/PDD+MlPfoLW1lbMnTsXTU1N+MxnPoNVq1bZ1h0tX74c8+fPxznnnKMSdt97773qfCQSwT//+U/MmzcPEyZMwJAhQ7Bo0SK1BgoAPv3pT2PFihW4/vrrcd1112HMmDFYuXKlWgMFIKu2ZAOzDmoQoyetycksQ4EofTpSGMuEqzoxOc3EnUhQzuappRUXFyMYDCotQWoOFOKyvmQyqYIFgsGgzfTIKDdG6knzJABFBlKrkmHjJChqWCwnyVjuS0VwjAoLCxGNRuHxeJSvqK2tDS0tLcjLy0NRURHy8/NtpkUGPOgLdBkEQvImGbW1tSkti+Po8/ng8XjQ3NyM5uZmtbEnzZnsgx7Srh+Tz0r/vbiZ9pwIyo3kD0ORkRH9sQ7qf/7nfw5qHdTXvva1Pt3/SIfRoAYp3DQnN1+KNOfRyc9jknykb4nC2s0X4dYmqRkUFhbC5/Nh6NChiEajKmwbgJr9kzAoiGX7pW+nsLAQgUAAyWTSRiwkMqlByWACGQwC2BfmEtJcJzUDKdyLiopsfjCOF82M7FcymVRh6CRg/V7SH0U/k8fjUf6z+vp6tLW1obCwUBF6UVERfD6fIsiuri6Ulpaiq6sLzc3NSCQSSCaTiMfjNtOmfH7ZBFXoz1xqU4A9g7wMJjHIDDNG/Q9DUIMQmQIe9O9S2DhlgdDNc27ZwXvyXcg6eIyzfgZA0HxFUtQ1J2lq1NvM+mg6k2SkC0ndFKmTq4w6zEZoSMJlrj5JaLr5huTAfrqND/vGOqUJsKOjAx0dHfD5fDZTJ8uzft3fRnOmk6arm117MtM5jZ38LP2VBgYDAUNQgwhuJrxMWg2DH6RgJUHJWTDNQ3pgQaa26LNzKUgZBFFRUYFAIIBhw4ahpKQEHR0dSCQS6OrqUoKUxENYlqVCxOlLkSSll9czkEvfC/spz8vrCNZPzYgvapz5+fkoKipCMBh0jG6UQRO6RirvxedBU6OMSLSsAzkApQmU51pbW5FMJtVLPjdGO3Z2dqq1VC0tLUrbdAq3l5MBpwmI/huQxKoTr75uSv4eDA6ND+pohCGoQYpsTW5SINKHQcEkfSQyAIDRc3J9jNMM3I2gKNBDoRCGDBmCwsJClJeXIxqNoqWlRZnESFDMLi7bxNBsQgYAkAClUJTk05N/jPeRJATYzV/Afk2ooKBABXiEQiEEg0F1nQy1lfeTplH9/oQkIDlhoIlPJ6h0en9+QI/Hg7a2NiQSCZv5k/kHU6kUCgsL0dXVpc4xs4YcK9at+w2d+qP3xYmojCaVGYagcgNDUAMMJwLKhpx4XoaRu61pclonxPOsRxf6TveW0YH01chADF5HLUU3MWbqj3T2O5kg9X47zfClWU6WBQ74iuRxmvSY8ogEIkFNzuPZn++PxJnJjCh9gZKApKYjgxrkZ/ZNr58TDI4//X8A1ARA16SoTbFuN+gTEafxy2TqNYLWEFSuYAhqAOFm0nM6p5cjOVFY8QXYU/DISDYedxMsupDSyYWCl4794uJiFdhAwS2zViSTSaWFpFIpW8Sant1ACnDpbyFkeXlckphT8lXggNnQ4/GoyDmOm9/vV0EKDCeXvjJGJjLjuQyI0IlKPhe/349QKGQztTJZrDSVcmwkoeuLj6UJt6CgAMXFxaoOaZJkmyzLQkNDA/bu3au2EyHx6ZqmnEToz57P0034Gu3qAAxB5QaGoAYhpMBw+xFTsMjUQlIIub2c6nUymekmPgp1GRhBnxeFKkOypSajE4tcj6VDmuUk2bCOTAQuiVf6tJzGVhKu1DypceiZFuQ465qNUz95HxId63Xqm6yHplcSlO77oQYnnxfvIX12Xq8XiURCJdyVvqlshKIeJKGPtxGs3WEIKjcwBDVAcBO22Zj36G+SGbhleSnc5KLLniA1LAruoqIiFUpeWFioTEucuQP7w8mpGZDALMuyBSToWR1ogpLCnyY2qfVxLGT7dSGtj51OFvr2GTJdkdfrVfdJJBLo7OxUGdJlyiJ5X7l4WIc+UdC1WKkdcRxkv4ADa8QkGAyRl5eH5uZmNe6MeKSZMhKJKJ9aOBxGIpFATU2NyoSRSCS6PXM5dk6kJM2vPK5r4sbcZ5ALGIIaAPSWnKQQkaY95njT1zpRmOhak6xLr1cekzPzYDCI0tJSlfGAGSLo86AwbWtrQ3t7O0KhECKRiK2tOtkAB3acpflK+l7ky2k8svXRSfBeMurR7/fbAiY6OjoUEUgNS2pRmfw1OqiNOeU15FhTuwFge9c1M5m9XTfTSRKladHv96O4uBitra1q12EuJtbHzklT1U18eqi/2+ejFUaDyg0MQR1i9EROgHsWAD2djx6EICP13Mw5Tj4aaSKkUGYePQo76d8iMaXTabUYl+Y9alNS63DKfECfmD5zdwqW0NvrNJ56iLk+njKyTZrrpPnL6z2wJ5UU+tL3pI+pmylRN885BajowRBu9ZAsnPxH7CuPcTJATTYvLw/l5eVK++XY674wJ/Mu62cbsiXmoxGGoHIDQ1ADhGwCIuQPmLN+6QOSQkQKWs6U3bIJUBhLbYLaGCPbotEoAoGA2sNIEgizKKRSKZXMtL29XUWQAVAkx1x8vDeJTK7X0YnWLepQkpmTcHYT+JJYZGQdhTXNXiRi6dOR68doosskjKR5laTG6/TgB5YndKKQvwFqdbKsDMmX49vR0YGioiKUlpYilUohEAigvb1dbaDY3t6uNF+5Z5UkImnGlJpUTwR1tGpThqByA0NQhxC9mX06+Qb0cHIpDHQyyqQ96cEVFMokJ/q4ZJJTXk8fjB78IIlFTwwrZ9+SeDL9QfXzUnjrPreexlCOox7xphOaTpZOhKlH7un3kveXWmE20Ms59VPmWpRatVz/Rq2RvkA52QCg9tjiM8mkHena09FKQplgCCo3MAR1iJBtIISTCYkCSc7wpQYg1724+aIorCjQuEBVrtdhyiIGERQUFMCyLLVRIO/L0GuGhHs8HpvJD4DadoPXBYNBFWYtzWW6uYpj4OSY1xPCOoV9syzPUUCTdNlXhl9L4Sy1CWqDel5AN6HiZBaTUXlyXZKTlqcTo6xTluGCYq/Xq56R7itj7r5kMqnGnvkSCwsL0dLSAr/fj0QigYaGBsTjcfWbkL5AqUnJSYH+2zIwBJUrGII6BOiL3V5qTjIsGujud9L9ME6mL9ZHbUmupeLGgTIIg/4lCi49ZZCMqKNQI2lRgMkoPaB7MlKnNruNg9QcpO9ICgjpl7Isy5YCimu0ZHCCrqVKjSlb054TOB5u2hfhFKLuNFGhj5DbmEiC4vOgT5C5/uS2J/Qn+nw+tXWITDzL8ddNeZJ8ncyQBga5giGoHMMtAs0JukmKAknuzkrhJf0ZTs57vU7WJ5O7FhcX24Iu5ExcCtdMkOZG3k/3v1C4ubXTyd/kdi9JztQg9YAE1kONqKioyLYFCMFggkwBJxw7PUhEaqZOfZGRi9IH5fRc3NaMye9seyAQUGH/Ml2UTtDMdcjzLM9rSktLUVhYiGQy6Rg4wXr0NWhysiHHXOJoNAEaDSo3MASVQ2QTsUdkmjHrSWClw12GJOsmIt2ERjMhfRElJSXdUiTJdjgRipMwkouGpVbENUXsRyb/k5Npku0G0E17lCSga4rUALhGLBqNorS01GayYx2SoPSAE5aTvjqaMXV/m+yD1M4AdDPt6f3n2OuTATkGkpwikYhtkTTNlew313a1trYC2L/vkNfrRUlJCUpKSuD3+1FeXq7GLj8/H83Nzdi9e7dtQiHbIH2e+l5Ybr+NowmGoHIDQ1ADAN2E4iT0peDXfRG6MHe7h6xP+p74koKZvhJCnx3LNkvNxc25LoW1FMBOmhIFOuvSc+a59Uu2jSBJ0mRZUFCgctUxUatev1PqJUm41KBoRmN7nYhd9llG6mWrJWaC3kbWr2txcnxku7q6upRfiv2mT6urq0v5FaUGLfsof4vyJTU3p89HAwxB5QaGoAYImXwtwAGNQQ+KkDN36dfQTWxSc2LAQn5+vtr5NhgMqiAGSXYMDtA1Gdbl9XrR3t5u28pB126oeUkTE2f6UpvgOQZWUIDK9kuCkr4tXeBLsiQhDR06FIFAAJFIBMXFxbZQeJm/kBs8sh7p72P/qb0wm4PMMUhTn3w+6XRaldEDVXrz22D/ZfYQfTkBCVQnVfkM0+k0Wlpa0NXVpda3eb1eRKNRFBUVKZ9UIpHAvn371O7BMtpPEhbrlJMPtuVoFLyGoHIDQ1CHAL11KuvCQNYhhY4+Q5ZCSQpsqTnJDOQkPj2tDmA378k/kvQv6TNr2U4nEpG74EpQG+Hs3Q26wHXSSKQ5jqTC1D9SS5PjS3LVyZjmLABq7LhIGYBKwqq3UQaIcCyd+p0JupYNdF+UzAAWPk+W0TUtludEwLIsWwQnM2rQT9fY2Kier94ON22Kx45WoWsIKjcwBJUjHEykk4yUkhkPgO4ZvHWnuPQHUPBSMHPGTI0MgFqgKk1qDBvnebc20rHO9tJ8pEPuU6T7p3RC0IMC2DfO0iVhyuukULSsAxsQch0XNT5mVueGgdQq6a9hXbJeSWIMKqGJkJsKMtIxk8nWqa09leU5SXYkchIjtWi5bxWPyfB4GZHIMaDWFQ6HEQqFkEqlUFxcjIKCAjQ0NCj/FevTCZDErk+K5ETJya9pYNAbGILKAbIhJyczjvzTy4g6KYCdHOy6MCe5hUIhFBUVKW2CpEBhpzvlndYnyRkyy1PgU8gBdkJj+Y6ODqUVORGtDpKUWxm5aNgN9D3RHOb17s/sTYHNYAJdIyK56RoC6wgGg4qgqIlIU2emABC3vgLOqZKoJcrsDdSWeF8Zti/vy0kBM0XI9V7UmmkaLCgoQFFREQKBACzLQjQaRSKRQGFhoc1nx/HgM9DXRklTsBMJHw2aldGgcgNDUIcAupnEyb/iZHqS5KDPUnXzmyQ1rmXiwl4ZWi3LyuM09dHv4uSDIig8ZSBApj7p66CcHOxSg3IjKac/tH4/kq+ej1COq5PJUppE5diSeJhIVo/Ikz4f2YbewGnsdOjh6zqx8XnJ8H4936Fc88bFu9zXixncmbU+EAgobdPNzCefl/7MjgZSkjAElRsYgjpEcJpVys8UoNK0p2sdunYjyUouto1GoyqCTWo4klgYvaU7vvXwdQplCj+CAtNJM5IZHwB7aiJJgNLPoQtcp32jdNLSSY/9ZG49BmkwvF5u8UHyket/uPBVPjOa9Jqbm1W7GWgh11XJZ6RrFW6/Abc+yeg/GUiSTqdV0ILbglm2jdorx4akVFRUhGAwiLKyMgSDQYwePRrDhg1DMplEPB5HW1sb4vE4Ojo6EI/HVdCKbB/bpGtx+oRFktSRTliGoHIDQ1D9jIPxPUno2pMTGTlpUhRC3K9JmrgoiFlOalsUOBQuutDRF9vqAtVJ05HCU18jJcdJHutJgGXS5CRIDHKtmJM2KiMgOTZO95ARiQyOkJoZM2nI+p2QrTDKZAKVGhL7zucl+6ILS5ajWZMLtRlEwsz1NNtxv69kMmkzM0otkfVK06j8zervRwOOln4eShiCGmC4RUMB3df5SF+QDGsG9mfijkQiKCwsRHl5OXw+ny3cmdoPtQSZDUCGJcv7UfBwYaau6TgJZP2YNIcBdl+Vfj9ZTjcx6lqlU90sxxl+a2urLdJOhrFz/KhVyfvK4A+WoX9H1k9tKZtJSU8BEk516H1lOfr19Px4MrqxoKAAwWBQaU4yijM/P1/Vwb4VFBSo7BLDhg1T/rW9e/eq5+7kowOgzMVOPsyexuBIgdGgcgPnzWz6Ebfddhs8Hg8WLFigjrW3t2PevHkoKytDUVERLrroItTW1ua6KYMObgLeyV/lRFLSJEeHdyQSQUlJCUpLS1FcXKwc3nSQ+/1+pWHpPgvpe5IZHKRwcvKT6XkCpSOds3o63PnZaQsK9lNeI8s6jZGTYOC59vZ2tLa2orm5GfF4HC0tLWhtbUVLSwva2trQ0tKCRCJhS5ekkzPblkwm0dbWhtbWVhUR6LSg2CnoQUc2/jW34AkGPTiNjxy3vLw85V8qLy/H0KFD1RYq+fn5tnosy1IRfSUlJSgvL0dlZSUikYhaX6VPothG/dlnmnDpz87AoCfkVIN67bXX8Jvf/Aaf/OQnbcd//OMf46mnnsLjjz+OSCSC+fPn46tf/Sr+7//+L5fNGRQ4mD+n1CZohpG+EvqUaIpKJBI2wS/PS1+TXJekBwno0X5us303QcpyvDe1Npoe5cJe6W9i2+hLkYtr3dZRuY2ZvphZmsCktgHAZsok6UoC5zUMS5djoI+PPkbyGMlfBlZI6Bqq2+9FD20nmFqKi7HlxotyXPk7amlpQXNzMwoKCmwEB0BpX9S0eFwSkWyrPO40HkeyxmA0qNwgZwTV0tKCmTNn4re//S1uueUWdTwWi+F3v/sdVqxYgS984QsAgIceeggnnngiXnnlFZx55pm5atIhgR7xROjHnGaXsg79u3TOFxcXIxqNqpX+0s/ETAAy27XH41H7AEkhxG00dAGbKYpPCiKnNsvyJCNqdoFAABUVFcr3QeHHWTrJoLOzE62trejs7MTevXsRj8fR3NyM2tpaWxRdppB0muQoXPWMD3rfZDg6vwMHQu8l+N1J0+VxSUT6+AHOQSC6wJdtk4RAcmM0H+9B/xHXbIXDYZummUwm1bjy2TOCj0Ez6XQabW1tKiCjrKwMbW1t2Lt3LxKJRLeNMuU7+yz9o0c6MRGGoHKDnBHUvHnzMG3aNEyZMsVGUBs2bEBnZyemTJmijo0dOxajRo3C2rVrHQmKiyKJeDyeq2b3Gb3RkHoq6+QXAmDbQsHv96vFm3KnW+BAtm46yAHYEp3yT6Wn4NHNXU7t1YWzLohk9orCwkJlbiwpKUEoFFIzfCeC6ujoUGHOTC0EQEWV6QuAAfdEqxwPXWNyKi+Jz4nE2E+ZRFaShtOzcwoO0evT0ZvfkF633EaF4yb3DKOZlRF+yWQS7e3tNu2UkZvAgQwa+iJqfYKgm/aONjOeIajcICcE9dhjj+H111/Ha6+91u1cTU0NfD4fotGo7XhFRQVqamoc61uyZAluuummXDS1X5AN0biVdTrn9AfnYlGv14vy8nKMHDlSCSOPx4O2tjZl2iPhUMAXFBTA7/d381/pL6B70lMKJuljyaQNUrj7fD4MHz4ckUgEVVVVqK6uRiAQQDQaVaHSMiCB7ZKZxi3LQltbG5LJJPbu3YsPP/wQzc3N+Pe//436+npXU6NOQj0JAl7Lck7bYsjvbqSkt8PpWKbAELdrnMxpEszTx8lAIBAAsD9IJJVKqU0iuZYLOOBbbG9vR1NTky2YJh6PI5FIoLOzE0VFRSgoKEBra6siZy7Slr5KqTFJE+bRIoQNQeUG/U5QO3bswJVXXonVq1erP0pfce2112LhwoXqezwex8iRI/ul7r7iYGeKPQkdWYaCgBFYRUVFKCsrU2Hl9PMwOotJQSnwnUxEUovKZNJzCuWWpKKX5fn8/HyUlpZi6NChOOaYY3DiiSeqAI28vDx0dHQoM5MkKN6P/WKbampqkE6n0dTUhJqaGjQ0NNiulW1wI1uJTL6zTKHeMgyffZXnpAaWzVouueGjRG8mPXJRNomKRMJtN2geJvnKDSkZ+BGPx1WkY2dnpy1BbTAYRCqVUhMh6adzCoLQTdhHurnPEFRu0O8EtWHDBtTV1eFTn/qUOpZKpfDiiy/i/vvvxz/+8Q90dHSgqanJpkXV1taisrLSsU6/3w+/39/fTe0zsiUnN1OODExwM5Ho9nwe1xfPSge2zHpNjSqRSChToL4Zn5zx6tqE7CfDmt18UNLk09XVhcbGRliWBb/frxaIlpeXq9Q6vI7ph/iSa28YQRgIBDBkyBAUFBSgvLxc+Yva2tps7ZSklok8nJ6jjOBzI7RMfiKnOnVkCpBgGzJNXJyIlRMCRud5PAc2LJSBEdSsZZZ8RijS1MffE8lJ34pDJvSV/dC1aD1Y4kgmJ4Pcod8J6pxzzsHbb79tOzZ79myMHTsWV199NUaOHImCggKsWbMGF110EQBg8+bN2L59OyZPntzfzckZeiInXdBkIim5mFVf68MyLMc9ibiIkn986RcJBoPK2c0FplKr0Gd78r5SwLM8+ysd4rpQ130uqVQKu3fvRl1dncpQEA6Hcfzxx6uACWbRpmmS9VDgkpi4TcioUaPQ0tKCuro65OXlYd++fdi1a5fNH0WhKceadbtpKxJO1xPZTEgyaZayf4Su3WW6hz4x4HcuvGWEIZ85M2romiQJippWW1sb2tvb0dLSAsuy1DKEUCiEaDSKrq4uNDc3q0Ad6aOjhu4ULKH3Ux/LI4mwjAaVG/Q7QRUXF+OUU06xHQuFQigrK1PH58yZg4ULF6K0tBThcBhXXHEFJk+efNhH8En01vTn5FzWyUT6eBgAwXLSfKOb6yhIpFDIxuSl9yNTn/Q/G53yJKCmpiakUinEYjF1L4Y26/W4aWdMV1RUVIRwOIzW1lalNWRqt1u0n9Mk4lDgYIRzpucjTbXUrPVoR8A9UwZD7KX2xEwTwWAQXV1dtqUCTpMctsXJj6pr40eiYDYElRvkfKGuE+666y6cf/75uOiii3D22WejsrISf/nLXwaiKQeNbH+QblFN8nq5uJUvkoqMQOP6Jwp9LkLlQlS+mpub0dLSoswxuhBzIgUnQQUcSDBK4aQHNOgLcCkQZebxffv24a233sLGjRvx2muvYd26dfj3v/+tMj0wQSmjxZiuqbCwUGmLlmWp8Oljjz0Wp5xyCo499liUlJSguLjYZsLTF4/KzQnZF32r+748854W57qddwrA0F+EW8AHyYgLkNvb221rx2hCZeQjnzV9Ta2trYjFYspvCQBlZWU45phjUF1djerqaowePRrl5eUoKSlBIBCw7UzMOjl50sdaZrtwez8S4PTssnn1BqlUCjfccAOqq6sRDAbxiU98Aj/72c9s9ViWhUWLFmHYsGEIBoOYMmUKtmzZYqunoaEBM2fORDgcRjQaxZw5c9DS0mIr89Zbb+Gzn/0sAoEARo4ciTvuuKNbex5//HGMHTsWgUAA48aNw9NPP92r/mSDQ5Lq6Pnnn7d9DwQCeOCBB/DAAw8citsfFtDNe3rgAs9R8Dvt6KprErq5MNOaIXleCm6dbHgvSXayXgokKXxaWlrQ0tKiZuXNzc2IRqNIJpPw+/0q+7o0GZEQ2S9JkqWlpfD7/WhsbEQwGIRlWUgkEjZNk+CMXe8Dz7kld3Wa6buZabOBmxbnNFnQ+6BD+oBo1uMSA91HqQtDOaZ5eXmOGdpDoRBKS0sRCoVQUlKCZDKJUCiE5uZmldKIEybZJt0PJf19R6rmRBwKDer222/H0qVL8cgjj+Dkk0/G+vXrMXv2bEQiEfzoRz8CANxxxx2499578cgjj6C6uho33HADpk6dik2bNqmgtZkzZ2LPnj1YvXo1Ojs7MXv2bMydOxcrVqwAsD8I7dxzz8WUKVOwbNkyvP3227j00ksRjUYxd+5cAMDLL7+MSy65BEuWLMH555+PFStWYPr06Xj99de7WdD6ApOLbwDg5L+RTmUpMKnByHUtsh65kZwTdCEiP5O8SCoybJ2Qs2+SphRoktTkbJlIp/fvQ8QNE2OxGBKJhPpeXFyMkSNHIhgMqgzc1KSkX6OrqwtNTU2KbIqLi1FSUoKKigqlNZJsnMK63b47EYeT4JB+nN6SlL6Wyu0eQPeoN7fzbDu/k9jldTK4RY/GZMADTafMGhEIBDBixAiMGDFC7YHV3t7uuFeUvD9/v9KPyWNy77EjlaQOBUG9/PLLuPDCCzFt2jQAwDHHHINHH30Ur776qqrv7rvvxvXXX48LL7wQAPCHP/wBFRUVWLlyJWbMmIH33nsPq1atwmuvvYaJEycCAO677z586Utfwi9/+UtUVVVh+fLl6OjowO9//3v4fD6cfPLJeOONN3DnnXcqgrrnnntw3nnn4aqrrgIA/OxnP8Pq1atx//33Y9myZb3qVyYYgsohnPw3bkJHDzwgQXFtiwwpl9eRoNwCF9zMSyQjKaAKCwtRVFQE4IBvorGxEfX19WqdjK6tyeg/t/txHVYqlcK+fftUFot9+/ahrKwMeXl5iEajylTIiE2Zmb2trU2FlpeVlSEUCqG8vByjRo1CQ0MDdu3a5bhPkhyrbBz1mQhERgEejCbVkxDTn1822pSs2yn9kSQO3l8u1GV0ZXFxMYYNG4ZQKIQxY8ZgxIgR8Pv9CAaDaG1txY4dO9DR0YFwOKwWh+vt4++R92R7ZGJag+7QEw+4RS1/+tOfxoMPPogPPvgAxx9/PN5880289NJLuPPOOwEA27ZtQ01NjS0JQiQSwaRJk7B27VrMmDEDa9euRTQaVeQEAFOmTIHX68W6devwla98BWvXrsXZZ5+t1isCwNSpU3H77bejsbERJSUlWLt2rW3pD8usXLmyP4ZEwRDUAEDOMPk9U1mGBMt3ahnUWqSPIdM6HimwWB/XUHG/IAAqkSgFDk1wFIQAVB0AVN43AN3KAd3TKXV0dKC5uRl+vx/Nzc22+hkOb1kHosZkSHkgEFB9Zn8lqROSEHQzpvyuE4cbOfFd12Sd1opxrDlOsg55DzfTn9Nvo7ekqN9XErLUcHQ/KQmMplb22efzKZMsiSeb39qR6HPS0RcNSl/TuXjxYtx4443dyl9zzTWIx+MYO3asWsN26623YubMmQCgEh1UVFTYrpNJEGpqajB06FDbea5ZlGWqq6u71cFzJSUlqKmpyXif/oIhqEMAN2Ejf9Bus2dJINy3h85NqTXRSS59RBI0ATE4IBAIIBwO27ZjKC0tRVVVlYq2a29vRyKRQGNjIwCooAUGYfh8PpSUlKhM2NxDiBnCm5ubu/k4KOTa29uxZ88etLa2IhgMqj6Fw2HbthYdHR0oKChAY2MjduzYgXQ6jX379sHn86GpqQmxWAxtbW2KUOVM3S3QQJ7Tw+91uEW+6euiWE6aOfUyTnkAabKUxyQBShOq/hvS4XZfnagkmXLywWUJXB5Av1NJSQlSqRT8fj9KS0tVpvPW1lbU19erJQzS5KevNdNJ6kg08/WFoHbs2IFwOKyOu635/POf/4zly5djxYoVyuy2YMECVFVVYdasWQff+EEMQ1CHGNmaa1hWOpypOdH0IkktmUyqWVVPocD0a5H4aIKjiY/pcSzLUuuRPB6P8k8x4ofby/PaUCik1mkx4SshNz3My8tDZ2cn2tra4PF40NDQoDIXSO2I2hnX6jDSrLOzU6XfoY+MJkmpxelJXuV4SOLRP/cUlSfLZTL3OfmCdDOc1G503w21yUxrs7KB23X62jea4hi+n06n4ff7VTsYdh4KhWBZFpqammz9YD29EdZHCmH1haDC4bCNoNxw1VVX4ZprrsGMGTMAAOPGjcPHH3+MJUuWYNasWSrRQW1tLYYNG6auq62txfjx4wEAlZWVqKurs9Xb1dWFhoYGdX1lZWW37Y/4vacybskWDhaGoPqAngSGDHhwc37rgkcKUAovEhOj4ACgra1NCRUSClMHOWlqcpM9aQr0eg+kUGppaUFDQwPS6bQKU4/FYirii9oXyzNvW35+Pjo6OlTuN31NjewPfSAUeABQV1eHpqYmZc5kpnO2g9oYP7e1talMGdSWqIVxNg/YNQd9qw4ncyDh5MuRWonUTGQgh9PzlOAmgszwLjODc+kAM9Izo7jcAsSpPbL9/G25bcWh9zmdTqtEsQUFBejs7FSTh/r6eoRCITQ0NCj/J59ZWVkZfD6f0qBkvbrJUDclHqk4FEESbW1t3Z47tV8AqK6uRmVlJdasWaMIKR6PY926dbjssssAAJMnT0ZTUxM2bNiACRMmAACeffZZpNNpTJo0SZX56U9/qiaCALB69WqccMIJKCkpUWXWrFlj2+dv9erV/Z5swRDUQcJNAPTmT5jpTysXXZKgmAGc+dOoWciN66gdUVPS28o6qcHI8Ha+5L2lMJYZCLhjbywWA7DfxMgUS/xR04fB+zIaj4TJNTW1tbXK/BcIBJBKpRCNRpFOp9HQ0KBMhYzUo8mQ2dyB/eZHCnm9X7ppzclf5QRJQLo2CzinftKfp7wX8yj6/X4MHz5cmWyZQzEWiyGZTKKurs62rqwnM59bX3Rh5hStmEgkVNs4bk1NTSgoKEAoFFJZP4YPH67MuEOHDoXP58OOHTvU71CaleU4uQV6HCmaE3EoCOqCCy7ArbfeilGjRuHkk0/Gxo0bceedd+LSSy8FsH9MFyxYgFtuuQVjxoxRYeZVVVWYPn06AODEE0/Eeeedh+9///tYtmwZOjs7MX/+fMyYMQNVVVUAgG9+85u46aabMGfOHFx99dV45513cM899+Cuu+5Sbbnyyivxuc99Dr/61a8wbdo0PPbYY1i/fj0efPDBXvWpJxiC6kdkS07ZEhkFD4UVzV5SG6HpTwoFRlnpdUmTkTTFOAlYPRhC7oskk4dSayPpcU8izuTT6XS3WbaTFkmNiESXSqXUzJ25+0i4+not+ulIeDzuFtrcW+FIItIJiZ9lvTqoFXo8HhQVFaldbcPhsDKJFhQUKOJm0lY9EavTomL53SkQwy17hht0TZ5aMTVYAMr0K03FMgBGvrvdy8n/eiSRVa5w33334YYbbsDll1+Ouro6VFVV4Qc/+AEWLVqkyvzkJz9Ba2sr5s6di6amJnzmM5/BqlWrbIm7ly9fjvnz5+Occ86B1+vFRRddhHvvvVedj0Qi+Oc//4l58+ZhwoQJGDJkCBYtWqRCzIH9EYUrVqzA9ddfj+uuuw5jxozBypUr+3UNFAB4rMPwlxGPxxGJRAa6GVkTkq4p6SYiLkKVZhFmAygqKsKQIUPUFiVc1Co1GgpjzoSZMZwEQSIh2clMAl6vF8XFxWo7DhKYngGbQRpyvQy1Gm6Al0wmUVlZieOOO06ZjFKpFFpaWtDY2Kjuya0fSG4E662srMSnPvUpFBcXq77GYjHU1NSoLSO4TxTJrKmpCclkEg0NDSosXq6/ISS5y9RQ8l1qX4x0JNEA9kAIJ0hi4ZqtQCCA8vJyjB49Gn6/H5FIBH6/X/kUpQa1adMmvP/++yozvduExikgQ9cQ3fxuBIlP7i3GPtO/l5eXh/LycoRCIfUbbWtrw7///W+VhYKh0jQFSm2cyxO4jMBpzAdSDMVisax8QE6gLLr99tsRDAZ7dW0ikcDVV1/dp/sf6TAaVB/QW5Oefp2bWYhl+KJWQA3Fsiy1RkFmpSZB6dnMgQNJPOV99cwJ9DPJBKCsV/p7aJ7zeDyKZEiAHo8HgUBA+alkUAO1Kr3PFLTMus6s2nTS+/1+JJNJZS6UvjkK5oKCAliWpRY1s5yTtkaNMBtILU1qUvqz0seS/aJGywCUaDQKv9+vzHuSoLgDsAxMydRWJ1+Y7LeEmzlT9xlJDZo+qry8PLS2ttqeB9vJ5Q66n1W+stGQjgQt6nBv/2CEIaiDRG+IKZMd3ilAQicSgmY2EoecqZKUpABlyDc1Fqk5cDZLQmIocXFxsSKajo4OW6Zx7mZbWFioyIrbMTBzdmdnJ5qbm1FQUKBCzJktW/q2dLMQiTid3r/n08cff4zi4mJ84hOfQElJiTIn0dzE+jhDpy8uGAyipKRERQXKPIEcQ0JGyPX0TGWgSllZmSJL9pm+GGqd9Bn6fD5UVVUhEokgGo2ivLxcEZD+nGpqalSgCgkhU7v4O5EBJ/QFyXx5sq/6b1FqV3KrDpaXhM/gC/r9ioqKlDblZCHQzXg99eVwxqHwQR2NMAR1COFEVG5/WN3XQUgTFUmKfhqGBFNI0ofgFPQgyYqClU58HmeknjTLUYCRKJntmgKbwlrmeeMGeDKC0Mn0xPQ7sVgMu3btUmmQGNUXiURUSCx32uW+UDLKjAt9Zci9XFQqBYPuq5MzeTnG1BpDoZDKuMA+JBIJ7Nu3T2lBnZ2dCAQCKC0tVck2y8vLVaQhtUX6eTo6OtDW1qaiGZuammybOfakHZG8qW2xn1xo7ZTBgb8F9k9GOsp6pYZEsqP2HgqFAMC2W3Mmknf73R8JgtoQVG5gCGoQINOfVZp6CBIKr6UvihFwFFIkL7lGRZq99Hp7ahOPdXZ2IpFIKAFmWfs3JQyHwyotE4UftRc5s5eRaU7mt3Q6rfYfam1tRVtbm8pkTkFAHxgJqr29HT6fz7b2ioKTfjQKWaeoN9kOmt68Xi8ikYjKts61XmVlZSgsLFTl29vbFRGQjKmN8lpptpNgRo1YLKZC6blQWWp3Enwe9MNJope/B65J43iTwDKZlJ2eifztSN+ek6avmwp7g8PZzGcIKjcwBHUQ0P98PfmiMmlJbsKCwpokI531jOijWaegoED5N2iGS6VSSjhSsDCijgsydWe/rllIopH94BbhBQUFKpAhGo2qHW8DgYAiBak90cfEmbred5rRUqkU9uzZA7/fj2OPPVZluKiqqkJBQQHKyspUkAXNh4WFhWhpacG+fftQV1entD4uYKYpk6ZBGZWoR+UVFRWprSVGjhyJ4uJihEIhFSJeWlqqCIzPg/2iRsTx83q9Kp+gNAsCUES8c+dOxONx7Ny5E7FYzPX5sK0MOqBmw77JxMKceLCPMjxf1qW3R46HfEY8xyAVauTyt8x3WW82UX0GBm4wBDVA6E0EoNzCQgoM3WTlNJvVhY30W+ltkRpMppmwNBdSmFKDk0KVbZRaC4nBSQDLrAYkMa5ronkxLy9PRZuxrNfrVeamtrY2BINBeL1etLe32zQouV4snT6QU0+OC+unxhSJRFRIeFFRkUreS5MazXUkCTkB4MtJe+I4MMdga2urioSUmpNTQIaEbjZlH2T2e7dgip6QyUeaSXvScTQQk9GgcgNDUAcBPWKpN+UlpBBzMm/Ic9JsI8F1KpzFU0uQREAhyXb4fD4VLefxeJTWw+g7OscpeCl8JSjwE4kEOjs7FSnIIAwnEuUf2UmASiKjhrJr1y4kk0nEYjEUFRUhFAohGAwq0yV9Q8OGDUMqlUJpaSkqKyuRSCSwZ88elUswFospcxqJgUEB1DgYDl5SUqI2fBsxYoQy1UlfizQTklCk1qQ/d2kSY67DtrY27Ny5E//+979V3kOa4iQZS5L1eDxIJpPdxlT6yug7JIlybBn8IK/V/ZvAAc2Kkw7Zft6Dvylmwnf6Lesvp/+FPH44C2xDULmBIaiDxMH+uHprm5cClMJB/hm4Xor+D72NkuD4mZFvFKwUNMxqQMEvtQRqVhIygMLJzyUDOpz65TSblymSPB4P6uvr1UZ5o0ePRjgcVmtyACiBzMXBNM+1trbC49mfN5B94PgwXF8mpWVGZ/qYqqqqEAwGUVFRgaKiIpvgpzlPD6XmmjbZf0ISFNeZxeNx1NfXo6amxrZGSD53aosMYiFJ6FqpTiBsh66J6Qu13SZHLMvlATQby98SQ/t1TVivT/dv6fc6EgS1IajcwBBUFuhJWzoY0nEzoenmOq5FoU9JLqyUM1X6JST0YAmGozMzAyF3tOUWFmyDnDFnCixgBBuFpjSl6b4KfRbvBLabQrutrQ2NjY3KfMZcdRSaDLOXpjyu1aIm2N7ertYctbe3K6FLwqIQp4mRwR28B9sry/GdhKGbYfXnytD9eDyOxsZGtLS0qGtJHswuIfcAY5vkPl5SG5XLD+Q4sxwA5QOTZkPeg/4zffEytS6+CgsLEQ6H1eSEkxndFJhJc2J/3IjxcIQhqNzAEFQv4GaG620dui/Iyc7PMgy79vl8iqAYTMDynZ2dSpORoHDljLqgoAAVFRXK6T9kyBAVjk5hT82DApP34roaChYplNgGmqgo2KmlyTGTZj29vfrYkpy9Xi8aGhqwfft2FBYWoqmpCcFgUPWbPihqggw1Z0h3cXExysrK1Botrs0iWTQ1NakJAImYGRTkNh7S9EVtRprX5Hf2R/aJIfitra3Ys2cP9u7di8bGRkXsrJd9kCY++VtjIl05tvIZsj0MVmGbafaTvy8uT+jo6EA8Hld9l2HwJKaCggJEIhEMGzZMBamw3U5ak95G3vNIDJgwBJUbGILqAb0loP6uk7NzacaRdUg/h5OQlBqXdJ5LLYAEI6PZ9MABOVPndfKdM3CdoGTkmBRYJDler2tnEk5mQmoUMniCpAF0X8PDbBv6MZqvqLnIoAYZVKCbxCRYnwwukQJLtp3jwuzzcrmA1FhlYIU0sXLSIE2pcidh3eQIwOZ/lOMsx42Lttkf2Reud+OGlkVFRSq03iniLxscSdqTQe5gCCoDsvnDSYLobR1ugRPysxRA0mwihRW1BL/frzItpNNpBINB5cQOhUJqRk7/BEEBRPNfOn1g8zqZhJUzdGnOI2Fx7Q+DNEh6+rojkgKj5Ng/ztx1Apblhw4dilAopHISxmIx1SZmsojH492IRKYpkumFgP3kV1FRYdM+KIiZ1kdG61Fgy3cANnLUJwlEMplUeeuamppQX1+vNDW2jbkO6WOTqaGo8RQXF6sxp6mNC3u7urqUKVPmV/R4PMpsKU3C0pTI35jMdMGlCuPHj0dlZSVKSkowdOhQxGIx7N27V2194kY4krDlZxnAcyQQldGgcgNDUP2AnkhKQvc96dc5mft0U4l85yw4EAigqKjItk6F+d+4TkqSnO5T8Xg8akM6khC1DEYO0mEuk8jKiDKaAeUuq3oItPSjMWIQgE0z00ma14VCIRQXF6OoqAiBQECZn2iKkgJbjhPNWDSTygAQqXlx3LghJIW3zO2n+w/dwrYlecvnSjJh+Lx8hlzDxA0kZYg+r+c2GB6PxxaJKFNIdXZ2qlyIMtBB+tVkUIU0NUtCo78rGAxi2LBhqK6uRnFxMaLRqGqjk5la/s51/6P8fCQJaENQuYEhqINENoSk/yEBuwOZ32U5GcUm1+Rwq3cuvJUzawpoLtKlD4ECicJMOszb29tVBmpunkdfAwDlY0gmk0rgM1szBTvNUyQyQmpEMqKNbWUiW90M6RSezT6SZLkgmTsKUyA3NzerMPK2tjaVn08mvqV2wnf6erjYmOMugxTkM9FNePK5Ok0s5GaNfOfzofnT6XfBtVbUkmXQCbPb5+XlqZyEXPNF7ScvL0+lhmJfGSTCgBsGyrA8IwNJiDzH9E70T3Z0dKClpQX19fWora1VWlS2Zj7ZzyPJF2UIKjcwBJUBTprRwfik9Gvkn1POximIgAOz/mg0imHDhqkZKzNLc38egloQNRiGnUtzniSohoYG7Ny5E16vF0OHDlWaFkmivb1dpRliGqFoNKqEN1MMAQc2I6Q/R+5fJU2DFIJ5eXkq5x+1B7ZPBhzI2bzP57MlXA2FQipHXzKZRH19vYrMY8BGXV2d7Ri1ifz8fESjURQVFSESiWD48OFKQ6OWxUALPi8Svm7e07Vhji9JHDgQTUnzJ4mfbZLZ6KktMlKO5ziOpaWlqK6uRn5+Purq6tDc3Ayv16uS1VJDLC4uxpAhQ9TWHj6fD/F4XK0DkxGXNPnJaEAA6jdH0zGzXHBbk48++gg1NTWIx+PdxoLj5vS7l1r1kQJDULmBIagcwElz6q0JkItn6ZyWIcf0qcgfuL62heuZZFocqaVIM4/MtEAtjIJUT0uk+2AkuUgfj0461D4kCUqB7/YH5zXAgVB2hmY3NzcjHo8r304ikVALkOX6LHl/KSRJpEx/JMPaORmQpC61HbkIWTf16doBNVqZmklG20nItklik+2W6Yt4jmMtCTYQCCjzJfvK34Puz9QnC3q/qKm1tbWhpaUFTU1NKvuFUzJavU9OlgP5frjDEFRuYAjqICGFldNxfs5kAtLBGX5eXh6GDBmCsrIyFBcXo7y83LY4k3VQuEpflde7P5cczUktLS3Kb0EBxpBjPQorHo8rzWjXrl1IJBLK50NNTEbmSZOgDGYoLi62RfGxbfo40MSoE5bU+KjZWJaF3bt3o76+XvnAuNCVO/HK6DgKXrn+i/4Umk7z8/PVFutyAStz//n9fpWFXApvtk+OgwwUkII/nU6rrBF79uzBxx9/jNbWVhXU4aRltLW1Yd++fTbNic+JOfu83v2bONKXxedZUVGBSCSCkpISlJWVIZVKYe/evUoj5jICGcXJduph/yTsVCqFHTt2wLIs1NbWYseOHUgkEqitre2WtUQfB+k/dSOpTP8Jg6MbhqD6CDfNyEmLkshEUsyMQHKggORMXKY8ohCRs3zOmuVsXfoaKEBIDGyf9Du1tbUhkUioYAE9LJ0zbq7Hkn4eZhiQPihJogBsJkKnQAMKN5kVoaWlBe3t7cr3IgmKZk1eS2EpF6tKM6lMhEtCkzv1RiIRW6CDnGywTxTMMixbjg+1lubmZpU5orm52ZYw1wkkWqk9UWumtujxeNSWIyRsRmMyd2BhYaH6DbS0tKCtrQ1tbW3wer0qwk/+dnRNUWqfDImvq6vDjh071BYheiCIPhFz8zkdaeRkNKjcwBBUBhyMv0le56RBSSEgfU8UQgwDZ9QZNSfgQFixjI6TwlKuqZECgfs8yYzo0s9DIUQHPn0dAFBRUYGKigpbX/bt29dNg5NEJE1Q6XRamf3kGLCt+njxXTdjcb8kmplI1nqKJrZF1iczNciwd2qsjEYrLi6G1+tV/imaVxlQwOtkQleZG1E3zeltkevK9Mg5uRMyfYk0C6bTadVPmVaK7aCmSo2ZASyccNTX16OlpUWZb4EDkwK20YlYCgsL1RgNHTpUmQ59Ph9aWlqwbds2td+YNEM6WRH036T8LRwJEX2GoHIDQ1AHCf2PqMPJaez2R5TmKAZH8J2Oawp1mUJIRpfJxZokH5bLz89XCU8pQGXIOUmAAs7n86lN+SorKzFs2DAABxLESmc/NxmUGgz7xHc9AAOAWv/DcQEOmAll39jvlpYW1NTUAIC6FyPwSGhORCn7x7GSApkCmEEgXJ8VDodVuDkJiuOsa6W8hyR5XdsiQckF05KspNmRz4KZJ6QmA0CZ6fgiGQFQ2SAYSJNMJlFbW6u0Nn1dmly+wOfDe3E8+HsoLS1FSUkJotEo6uvrVeopuXOv0+9bX0QshfmRQE6AIahcwRDUIYSbY1j/w+rOeJphKGDc9vWh4JVmId20p6+pAg5kN5D+FKZGkumPpClLamM0p0ktg5DRiZKspT9N9pfHqD1Kspb7KTElkK4JyMWoUpvRQ9oJuR6KQSlSk5HZyeX4cUIgNSgKW5omeY5pi0h+bL8kbDc/kNNvRPYXOLD9iQx28Xg8tnyDejYSXcOTz4HHZJ2S5KntcbxoznWDJCF+1onpcCcqQ1C5gSGoDOhJS8rmesDdByUFghQAwAHSoOkGgDL3SC0K6D7zlSbD4uJiFQVIASu3Q0+n08pPQaEfDAaVMI3H46irq0NBQQFKSkqUKY1ZIBgGzWg7mfKI6OrqQktLi21M6O+Rpi+OAXejLSgoQHl5ufost56QBMRZvNzEkFqeJCidUNjGESNGIBgMKu2Az4Uh1lyTRCHEHH4yyo/t5/OhWZX+LGA/GSaTSTQ3NyvtRpKS3LpekqI+AeE9abKTRMMNGpPJpNqKhZF2kqR0YpK/URkwwsi/1tZWFVRCba+iogJ+vx+1tbVq0bFOOvIzz+uRkUZQG7jBEFQvoZNNJhKSZdyi/vR65Hfpv5AkpmtB+syXAk9mQpCCTb+W9UqNi9dwLyYu2OQ1UnvSNSipbbFdMoBBtsFp3Dwej/LBcZbO4Asp0EgU7DODJUh+bgQl69Bz4emRerKvrIPPQgp5+RxYt8zk4PV6VeBCV1eXLfCEkw3Wq4+JfL76gmjdrCr9QXLCok9e+BuRGqVOUrrGKydFJCmGsrvByfd6pBLSkdqvgYQhqB6QSYvK9IPMRvuSpg75SqX255ZzWiMjzYT6/fWFlnpGBDrUuYBW74cMpuAal4aGBtTX1yMcDqOystK235FMKcT7UOBToOlmTenv0LdA50LZoqIiDBs2zBYAkUql0NLSYvMtMTJObpzIjBr0XenmKglqj3v27EFDQwMaGxsRCAQQDocxZMgQFBUVoaKiQkVK0i8EQPl+GJRA/xG3rAf2+4OoxdJMWVJSgry8PIRCIbS0tNi2uHBa1Mx1Szwmf1N8jlwzJ0O8OemgBiTTHEmCYvCK3+9X+Rr5jIqKilBWVqYmJ36/X00AmK4pkUjYMr7rmxf2JLSPFKFuTHy5gSGofkJPhOR2XicnvhKJRLcfsPzz66DwosmNx2RwAgWTFNzSb8K0OACUU50ERTB/Hk01BAMN5EJgmiR1kxLbRvAc0/NEIhG1DolmLK51kjN5GWZOR70eYCEhNQVpaqytrUV+fj52794NAKiqqrJprSxPQc9nSdMizaJMrso2tra2qtBvj+dANgz2VW6HwWdDMx41WxIU98GS/eAkQ4bPSw1Pmoil+VFeS1L1+XwoLi5WkxmP58Dmjz6fT/nmgO5psKTJmNc6jbXTM+np+OECQ1C5gSGoPqA35opsfFn041DgSAEGOAt13p+CTfdt0R8kszHo5qnCwkLlxJdrjjo6OlRaIJmvjlFmMhDDzUxEIpN+Dd00SbOi3POKgpmZIUgG6XTalspJhtzLcXGCJAH5XWZdtyxL5Zrr7OzEzp07VRsY3s49nDgp4Hb3HDsKeZnIlXtl8dmGQiEUFRXZAhxkZCEJUv7GnLRQALawdRk4QR+XDOzgtTKDOs2NkuCocXGiIgNmmpub0dLSgpaWFuXnkoE4epv1l/47OBJgCCo3MATVC/QmYEKfRcrPTpFTAFRC1EAgoEJ8nXwKnBXrfwq5qBQ4kDmba4c4K2cdFJjl5eWIRCIqei+RSCghNGTIEAwfPlzNoEkQXFdD4aabI6VzX/qk6B+SwpWmPAptj8eDpqYmRRbcSgLY/6eOxWJqBi8DMvSZuhNZcYykj00+F45NW1sbAoEA6urqUFRUpELpadq0rAOJVouKitQW8aWlpQiHw4pgaUZMJBK2remHDh2qTId79+5VAQnAgUXPkoikFspJiFNiW96Xz15qnDJ4hs+tsLDQloOQvxWub2PARzKZhN/vx+7du7F9+3a0trZi9+7daG1thWVZKoBF/p7ZfxKj2+tIgCGo3MAQVI6RLalJJz2FDglBhk2TZHiNDExwghRyukOc9VFbk+2lQCsoKFB7TclgAbn2Rb9G/7Pq2hXbwqAF6b+hpqcHhfB6ajwyEW1v/ugsy6AQ3SRoWZbKktDV1YXGxkYVBaevP5NbdTA/YHFxcTcNh4JarnkKBAIoLCxUofK6FpiN/1IfX17Ltuph9lKD4e9NPgs57qyHhEeyoyZJbVImvHUzP8uxdSImI6gN3GAIqhfoyc9E9EbTYnkKCxJTKBRCOBy2CWoKSkkI0oxDUFjQzzFkyBCccMIJapM+ANi5cyfeeustAFCzaWoJHR0dytw3fPhwHH/88QAOZHWgf4ULe90W6PIzF696vV7lzGcyUy6Q5RYTclFsOp1GKBRS96NpjQ56XejqY6prdVLwc4zkcZoqqdmk02ns3bvXFqEo+8iysVgMzc3NCAQCaGtrQ2trq9KCGbgiTX/5+fkqIzsDURh+zucryVyGlzuRF7cWoa+K79QOZTQl65R103zKDPkkf/4GLGt/Dr6uri7U1NRg+/bt6ho56XHSYHVyPFKJyWhQuUFOCGrXrl24+uqr8cwzz6CtrQ3HHXccHnroIUycOBHA/gezePFi/Pa3v0VTUxPOOussLF26FGPGjMlFc/qE3pJNb68n6VEAcVbOXVX1RZa8xil0W4JkEI1GUVVVhVNPPVXtxEry2rp1qzLhcO0MAxtIIGVlZaiqqkIqlUJTU5Myt3ERKH0UFES6Two4EA7OnX25uSLNmUOGDFFJbLnOSoY0833fvn1Ke9JT9nAc9LGXkwoSjT7TZ/i4bDuJmMEqun9IH+t4PK526s3Ly0NJSQmGDBnSLT0R28G9verr65V/j1kjpD9JEpPeB/ZZ+pbop9ND0HXoGhNJTmqIMvqzsbERra2tqK2tRV1dHSzLsgXFsE2ZfE9HkklPhyGo3KDfCaqxsRFnnXUWPv/5z+OZZ55BeXk5tmzZgpKSElXmjjvuwL333otHHnkE1dXVuOGGGzB16lRs2rRJmZoGC3StKZsflS5A9HOZrqNZhRFS0lxDs4o038gFvnpbuUgzmUwikUgoc10wGMSQIUNQXV2tCCYWi9kIij6u+vp67NixQ/lSONOmNidn5TKCD7BnOOcW6sOGDVPkGwqFbKHtMgku+8N7SV+O0xoeKXAldDLRgzj08SJB6M88Uz28b2dnJ2KxmNqQMRwOq3VcXMNFIU7zIv1B+lqiTMEe8t4ybRW/9yQsacbUF3hb1v6AltLSUrVQOxqNKlOnHlzDe5HcWfeRTkZOMASVG/Q7Qd1+++0YOXIkHnroIXWsurpafbYsC3fffTeuv/56XHjhhQCAP/zhD6ioqMDKlSsxY8aMbnXKXV2BA9s0HCpka9rLph7AWWjSt5NMJuHxeNDS0mJbf9PV1aX2PiJ0TYPtpPBjgERzczNisZhyzg8dOlQJl6amJqxbtw67du2y5aujz8GyLDQ2NtoIt76+Hs3NzTbTGslIZr6gVhSNRlFRUYGioiIcd9xxSnBLcx7rIElxy/OPPvoIdXV16OzsVJsSyjRCOjG5zeh7egYkZUJPdSR/A06+Fk4adu7ciZqaGlRUVCjyHTVqlNqmXZrV0um0CuGmtiN9UU4aoeyHjNiT/ZDvOri+ir8j+v3YV7/fj2OPPRajRo1SJufW1lbs3LlTBaTwt8r7UmuU2lxPRHWkCWdDULlB930O+oi//e1vmDhxIr7+9a9j6NChOO200/Db3/5Wnd+2bRtqamowZcoUdSwSiWDSpElYu3atY51LlixR62MikQhGjhzZ383uEX39MWX6k+p2efmSdnynIAQn4pTOdgqjeDyOeDyutmgADqzFkf4Y3aTIa7ldAxfEyuhC2X5qBBS8jBILh8MIh8MoLi5W24hwli4T5NIvRWJg+53SO0nznu7s18lEDwqQx/Sx15+DHsCgC175nLhVRltbm0ppxP2fmGBXX+Sqp7ly+204/Zbk5ES2sSfINkuNlJGG4XBYab1czMvyUhN0a1+m9h+JyGTSPNrMnf2Jftegtm7diqVLl2LhwoW47rrr8Nprr+FHP/oRfD4fZs2apTJSV1RU2K6rqKhQ53Rce+21WLhwofoej8cHhKT6AqmBOP04+Z0CVG47TrLQ916SM1bpc2D9DOneuXMn4vE4gsEgdu7ciaqqKuUv8Xq9KltCQ0MD6urqbGHgcg8hRqHJRaMUdPweDodV9oGysjJlJiovL4fP50NJSYm6r77wmMSRTCbR2NiItrY2fPjhh9i6davKyiATubpBBgHocApJ15+BJDen5K2S4PR78nh9fT3efvttBAIB7NmzB9FoVEUqptNpNDc3o6OjA3v37kVdXZ3STqgZ6veVgTBO5kzpb3MKDpHlOPYAlMYaDAYRjUYRCoVQVVWFUaNGKZIlkdJHxcXIcsG3HEMjgA36C/1OUOl0GhMnTsTPf/5zAMBpp52Gd955B8uWLcOsWbMOqk4m7RzMkMKqt+ZAJy1EviQ56MlEpQNdCjWSVjqdRiKRwN69e5Wvo62tDSUlJRg+fDgAqB145Xoj9oH+MP3eupAkSfl8PgwdOhSFhYWorKxEcXExwuEwSktLuxEMBb0eVEGHfTwex969e7Fnzx5bKh0n6H4jt2dAYpcmskzXOJnMdAKUPiDWwcjD/Px8tbiXi3SZtomRe/F4XLVHts9JU9I/6+3PZI7WSZS/K2q99BVyR16v14tEImEz6ZFE5TIFiaOVmIyJLzfodxPfsGHDcNJJJ9mOnXjiidi+fTsAoLKyEgBQW1trK1NbW6vODVZk+4PqTTndNCNzp8nwZH3bBwoXptkhievCnsRBcmpoaMD27dvx0Ucf4d///jc++ugjpa1wdsyFszKjhYzYYtv9fj/KyspQUVGB448/HqeddhpOO+00jB8/HuPGjcPIkSPVdvV1dXXYu3evmpF7PPtT6YRCIRXm3tLSgj179mD79u344IMPsGXLFtTX19vy1RE6SesmPSl8ZaYFlsn2mbFup00G5RjLEHz5YuDEvn37sHfvXhUF19DQgHg8bkto66R9SM1JF4IHY0Zi22m6ozlWvjPHYHNzMxobG9HU1KRyM8rfpb627mg2Yx0qE9+uXbvwrW99C2VlZQgGgxg3bhzWr19va8eiRYtUMNKUKVOwZcsWWx0NDQ2YOXMmwuEwotEo5syZo3YbIN566y189rOfRSAQwMiRI3HHHXd0a8vjjz+OsWPHIhAIYNy4cXj66ad73Z+e0O8a1FlnnYXNmzfbjn3wwQcYPXo0gP0BE5WVlVizZg3Gjx8PYL/Jbt26dbjsssv6uzn9jkwz1Exl3RzscjbPFEJ5eXm2xKTMp6cTFEPJpYbFrS3kbJqaCwDU1dVh165dKC4uxu7du1FQUKCizLq6ulR6JZqcGHKuZwcHoMxBoVAIxx9/PKqqqlBeXo5jjz1WhV4nk0l8/PHH2L59O/Ly8jB8+HCEQiEUFxcjGo0qDa+zsxP79u3D9u3bUVtbizfffFOl0uEGgLop0LK6b1uvExdgTwPl9pz05yXvIeGmvbgFJzDlkN42qXG5RSDqbXM759YWCan5er1eZWbl5ICTnPz8fLS3tyMWi6G+vh41NTVobGxELBZTkxgZ8SdD4p1ItichfKQQ2KHQoPorQnrmzJnYs2cPVq9ejc7OTsyePRtz587FihUrAOyXx+eeey6mTJmCZcuW4e2338all16KaDSKuXPnAgBefvllXHLJJViyZAnOP/98rFixAtOnT8frr7+OU045pVf9yoR+J6gf//jH+PSnP42f//znuPjii/Hqq6/iwQcfxIMPPghg/x9ywYIFuOWWWzBmzBg1iFVVVZg+fXp/N2fAQGGX6UfIMtLpLMPM9RQ/0gfBtUskL/qFSFa6uY/t4EyfoecymoykROEjzW+WZSmSozYXDodRUVGBUCiE8vJylJWVIRKJqOSojIpjEIRsN9tCUxiDMRoaGhCLxZBIJNQiZLexGwhIk2q2cNKGCJnct6fr3b5LuJGT0zE+Y36W69AYOctgDj1fIeCuiR5NmhNxKAiqPyKk33vvPaxatQqvvfaaWpd633334Utf+hJ++ctfoqqqCsuXL0dHRwd+//vfw+fz4eSTT8Ybb7yBO++8UxHUPffcg/POOw9XXXUVAOBnP/sZVq9ejfvvvx/Lli3rVb8yod8J6vTTT8cTTzyBa6+9FjfffDOqq6tx9913Y+bMmarMT37yE7S2tmLu3LloamrCZz7zGaxatWrQrYFyQ09aVE+kJD9LLSeVSiEWi6kdbLmyH4AiC2pDQ4YMsTm7gQObHFKYMDydgRZsM7MDNDY22tom94+iVlVYWKii/crLy+H3+xGJRJR5jgEXJCaa1CzLUotymUwUOBCSnE6nsW/fPrS2tqogiPfeew9btmxRJiYZOCKhC2E9DNypnBQgbs/HyZ/idD+3a6VGl6leWbcu8N2iCp3a4aZ5OY2F1OD1fb+oSfFZM0hl79692L17N+LxeDdNVppSeU+3SFPZl56eweGKvhCUvmzGzef+t7/9DVOnTsXXv/51vPDCCxg+fDguv/xyfP/73wfQc4T0jBkzsHbtWkSjUUVOADBlyhR4vV6sW7cOX/nKV7B27VqcffbZakIKAFOnTsXtt9+OxsZGlJSUYO3atbbANZZZuXJlr8agJ+Qkk8T555+P888/3/W8x+PBzTffjJtvvjkXtz/kcCMr+YPNVEZfB0WtQmpN3FeI/iRm0Ga9FDZc/CmFJQUGSS4/P98W9cdIQPqz9G3Qw+GwzZw3ZMgQlJSUIBQKoaKiQoWFy3RJ6XRamY+Ki4ttIeLAfjJlIERdXR2ampqwe/du7NmzB8CBLAZsh2Ud2MOoJxOrLqClGTVb0umtliTb5WTadWunvI/ci0n3cbm1USdEJyHpRFZ6qD1Jir+NRCKh0jaRnBjdycmGU7j5kU5EuYAekbx48WLceOON3cr1R4R0TU0Nhg4dajufn5+P0tJSWxmpmck6a2pqUFJSotb6ud2nv2By8eUY0tTnNEPX1+PIzetkMlT+0WVIsLT9M0cdy7AOCj0pzEhMcndWgqHprIf3Z5QfSYhCrKGhwTYTl9mz5b5NDQ0NKnefdMK3tbVh586daGtrQywWy5hRwS2sW77LSDgnDUoPONCJzOle2UCac93qlN/d/E16wEFvidLJrCz9aqxbZvsg6XCiIXPzNTQ0oLm5udvOw5LgdO1J/80eDSTVFw1qx44dCIfD6rhbxHIuIqQHOwxB5QBuNno3AUazC4U6fVH6NgkA1BYJpaWlys/DAAYGTNApz9mwboqRPiaphZHoJNnJbNhMl5RMJm2b4QHoVr9lWcrU2NTUhIaGBiQSCezevRvNzc3Yu3cvampqFGmlUilbyh8poOXiUKcoOh06CfW0mFVqIZLg5LNyIkf9fm7P24loevLj6G3MBN0v5tRWnVDoT6KPkQTFzBHt7e1oampCfX29SrEl69d9p04EpY/BkUxYfSEoLmLvCW4R0v/f//f/AbBHSA8bNkyVqa2tVQFplZWVqKurs9XBjUl5fWVlpWOUtbyHW5n+jsQ2BHUI4DRTdzK7SAEsNwUkocjPMrJPCne52JPrlzLN1p0Wcco/Wmdnp0r0WldXp7ahkIt3dS1QJyiGK7e3tyuBp+fz4/YXTiSi+zvkZyJbPxHb5zYumUxmTmSia2k6sj2mR/c5+Zuc2qb76TKNgyRbGXBDUyzrkzvmMppUPgt9zZmclOgmPrf+HmnoC0Fli/6IkJ48eTKampqwYcMGTJgwAQDw7LPPIp1OY9KkSarMT3/6U3R2dqrtb1avXo0TTjhBRQxOnjwZa9aswYIFC1RbVq9ejcmTJ/eqTz3BEFQO4GRmcRNUbpoBfQByzyFqLfTryAg7rvTXyzK6zy2VjmwzfVQ8b1mW2jl179692LFjhwqgYIokmcdNJyiumWE0mNxZlqDPjAKWpiRCanr8zv2ySGxuY60Lb94vG/8Q4ZSYltfK+zpF6DkhEznJuvSy7LMcC2mO1euSZjySm/RTMpozPz8fxcXFaimBZe3fELKpqQn79u1TSwX4nPjS/U9O+0459fdIJqtc960/IqRPPPFEnHfeefj+97+PZcuWobOzE/Pnz8eMGTNQVVUFAPjmN7+Jm266CXPmzMHVV1+Nd955B/fccw/uuusu1ZYrr7wSn/vc5/CrX/0K06ZNw2OPPYb169ertvQXDEHlCNn6MHSHOmeyNN1RoEoBABzIeUc/Ev0HlmUpQSad2U4agzQzSVOjNEnR7AccCKbgok6v16ve9V11pQZFU6A0YXKhqBwrJ1OY0wJbeS8ZnZjNs9D751TWTdDICYV+PFtycvMPOZXV7ykzcOjXOmlQTqTKY5y46L8jTigY+s+JjmyHk7bckwnvSCYm4NBoUP0VIb18+XLMnz8f55xzDrxeLy666CLce++96nwkEsE///lPzJs3DxMmTMCQIUOwaNEiFWIOAJ/+9KexYsUKXH/99bjuuuswZswYrFy5sl/XQAGAxzoMfznxeByRSGRA2+BkouvNNVLrILlI4UPBwLLcmr2oqAinnnoqJk+erEK+8/Pz8dFHH2H79u1qO/auri40NTUpk5zMTu7k/8gkKPVZusxq4RRWzesouGUdJFmZT083BzmRgNQwi4qKlAZFEyE36nPTUHQtys1XwvOy77pJVm4t0ZN/qye4me5k/V6vV+2+y3x+wIE9ufRdhwHY2s2x5nq0VCql9rmqqqpS+1YVFhYilUrh3//+N2pra1VkJScB/M3KXY85meIExCmB8GA398Visax8QE6gLJo7d64tLDsbdHR04MEHH+zT/Y90GA2qn+DkV+qpDL/zDy21HinYKXwTiQQAqKziNP9RG8nPz7dtZc4tKzo6OpQ/SiebngI5KJBkeLEsq4eq6/VS+ErTIfunm8WkuVNqBJLUaOJj0lVqhhTmTuQgNQTZbilM9XZIzUwndQae6ESij6EOfXykL0j/XUjIMgz9l8e5iaOsRy7Wlsd8Pl83Myr7xP2+mDSYkxsuGZCLe+WzobmwJ//TYCSn/sKh0KCORhiCOkg4EZLTD86pTCYfiKyDAQsUCjSVcWZbVFQEYH+mBvoKSEa60JDt0X1fkgz0zQ/lhnj6uhvdV5KJoHXtwqlNst9yN1cnUmU7SDx8dwul5qxfbxNNqDIIRa4l09vnJHB7S07ymK5FSt+OHA/pT2SbZUi+2+65bguHuVgbgJoAUSOjeU9q8LLNcpx0v9PRQkg6DEHlBoag+oDeCGa3MvosXZpTdJ8D9xTaunUr2traUFhYiNGjRyMYDCpiYi4+p63idZOe9CPl5eWpfYx60gj0oA59Zi2vcwv5BuzCU2pc3Bre6/Wivb1dCVCSJX1gcgYPQGXNILHSjFVQUGAzoViWhdbWVvVd+ttkG1k/BbXT1htuY+R2XPoQ9WMyI4YcWwBqbRIDVOSeW9xxmP4+3lNqrVJbY6CLHIuOjg7EYjG0t7dj3759aGpqsj0n+TvlPeS+YNJcmmk8jlQYgsoNDEH1A7Ix7znBSaA7mYGkScWyLLS1taGxsRHJZBLhcFgJCgoNuVhWFxyEJBi50FZvj3yXAo7aFAWfTja6sNLJSdantwk44OeSUWf6PXRBLv1aJE1qQ1LbkG3nvWQfpfbEunTNMhu4kZOsR6/Pyf/G8tLnxqUF+rNz06T03xUDadiujo4ONQGiX8stIITvbNPRrDkRhqByA0NQ/YSeBJduznESTjynQxf4iUQCqVQKwWAQwWAQiURC+aFoCpLakxSukiikKQ3oThhSO3IyccnvPQUGSG1Ah+7/kSHV9KtxDNgWue0DsN/MKcdJEnQgEEAwGFT+PDkW9Mswsk0KZrl9hpMWmglynJy0Rt3MK0PBdQ2VdfA5Njc328Lv8/PzEYlEbPtMyfvqz19qqEw31dzcjJqaGpWkWJ8AsK3StCfH+GiHIajcwBDUIUQmEnMyo7n9gLmuiGaZVCqF4uJi5RiXglXOcvX7yGg8/V66hiXLONXntl5I75Nbvzk2vJ6aATNaSJMnzX180cfEyD5qSBSg3N/K6/Xaov3o/Oc53odk0dXVpRY/u5HrwcCJnEjGvLckLOCA+VIukg6FQir5LpPyMjTcSYOVpFxYWKj24Gpvb0dLS4vSyt3IiXXJJQ9OGpQTjDA2OBgYghog6KYSp3MUxpn8GyQjKbAzCQN9xu7mP5Kms0xag4wQy1ROX4flZCKS32m2zM/PV8JUru8i2TDDtlyrw3ZJwmJmd4bbAweyt1ODkr4nqaFJ0pNklY3mkGldEsmCROS0WzI/05wnx5GLs0lSXu+BfZ7kBIVgQt90+sDuyS0tLWp7E6eISqcACf2ZGXIyGlSuYAiqH5Ft0IQ028joMXltT3Z9lmNkXzKZVGHl0uyi1ys1BF2DyhS0QDJ06qvUbngN+0dQsMq2yTbqmg/D6EOhEHw+HwKBACKRCDyeA/kHaeq0LEtlO/D5fCr4g+HYqVQK8XhcbSVPzYnrggoLC21jy1Q/0pfHvur+qUxwIjD9+ZJUPB6PMlPKMdOjFLnmiMENiUQC4XBYbXXCYBAZzUnTL4NhAKCpqQldXV3Ys2cP9u7dqwhZPlNJkGyvnAS5+TeJo0kAG4LKDQxBDTCynYW6XScjqJyCInQHPN+lduTkqJemNumT0aETn4ST2Uxfg+MUPCH7x6g9ahBsE8nM5/PZiETvO4lRapnUzNwgiTQTyUhtRhKPE9zCvflO7Ub6+/Ry9McxCTDbJ3PlyUmHfGZyny5mi6AGKjeqdNKc5PPQP2fq89EEQ1C5gSGoAUQmM59uWuExafaj4KWQ4cyawotCT17X2tqKzs7ObmuNuLZGZh3QyUkGJTDaTfpPSBysn6YnuQdVc3NzN21MB9tG8xu3oW9oaABwQAgHAgEUFhais7MTdXV1tmhGkpfX61VjI/vAsjKij8lruaeVHlSimzMlgcnoOTfS5bhJM2UgEFBjTQ1HaikcJ1mmqKhI+aLoj2xsbERBQQGKi4vh9/vVHl5M1tvZ2YmmpiblZ2pqalKZ5Nl2aVqUJCUnP3JCZATsARiCyg0MQQ0QnGakuobDc4ROWiQovqRQoxlL+jhoCqMWI8PE5X3pv+FizkymS3kNCYpgNB5f3IhRHwOnP6qMUKPQ5rqmwsJC5T8qLCxUfihdg5ImMklOUtDSZAjANo5uIfp6OLuMLszWJyWficyFJ4M1JCnIMWHmkLy8PLS1tams921tbSgoKEAoFFITjLKyMpVcuL29Xe3WzH28JGlLX6TUrGW7nYIiMvlHjyYYgsoNDEENIOSfnMJS15Z4Xicsue6lvb1d5VEDoJz+9MfI+1GjoYCndkRNQoZ3y9m8jA4EoOrhHlRukL6nbH0Xsr1Mt0P/EclTZo6gsOe9Ojo6upGrHGeOG9c3MbRcX9ysBxhQc2MgAhdGsy4APfaN5Mb6+BycglH034c8RiKRvinLslSIuN/vRzweR1dXF+rr65WWFY/HVcCIPjHRQ+Blf4z2ZDAQMAQ1wJDk5CTcKDh0TYbChLvc0iHOkGOag5hxgcKF3/1+v9q5k+YsmsU4m6fPg8TEdUIkL5qbvF6vMo/p7aawY/JbKfDkGEiwDE2CNMl1dHSo/jF1kcw/SIJigIO+NkrWz3fpF2MbGf3GdlKTCwaDSkvJz89HS0sLWltbVWCHHuAg+0jNSUbbURtikIT+u+C7mymYk4RUKqW2WqFPjvfs6OjA7t270dbWhtraWuzbt6/bJEH6CHUtXWrleuosoz0dgNGgcgNDUIME0tzlZkqTn/kiudEXRWEn/Th6yDEJRkaIUQvQzTpSmMk/IeuWodFSu5Ozcnm9bgbLRFQ8r18vzZokPZoYM5nneA95T5r0qEHpwRbSLyP3Q3LSNtygB4vIxbiZQvzdghWc+ieXDLBfyWRS+ai4H5euATm1XydEJ1OsISc7DEHlBoagBhAkI32mDRwIaQa6b6cutSoK6ZaWFng8HoRCIUQiERVGXVhYqHaw7ezsVLPsUCiEcDgMy7LvPUVwnYzM8UcBV1xcrDZMDIVCAA5ktwAORIzJwAnOwPX+y37rpixdC+M5bknOYAxqJ4FAQKXqoVYDHNgzSgpjuYiZ5SQJOplUdXOcU8Qdn53uO5QmV5pGZX36s5ch7dRu+VuhhsjnlpeXZ9uKw+fzqQCI9vZ27Nmzp9u27TLqT8/0LrWmnhZ7G+yHIajcwBDUAIOC2GmmynO69iQFKV/MpcbIPD08W/czUZBZlmUTUqyf9UpiolCjQJTZGyg8pT9I96O5mdr0Y07CnUKahEo/C9P6sF8UwtJvoo8366cg1s1a+nizfqnx6KSZCVJbkpqnHCfeg2OpLwqWfj4ZVs76dY2WASmJRAKtra1obW11jAzVx1iOna69GoHqDkNQuYEhqEEA3aTi5ovSIRfRcmbt8XhQX1+vspID+7UFLlodMmQIiouLUVhYiGg0qkxBwH4tiMKvo6PDFopNLYWaAE2JJD6aymTknYx20x3sev+kcCYZUdPIz89He3u70hjl/UiwkUhEhW3Tt8bylmXZ9keSY+5EMJnMbhxP4MA2FXodui9K+uwYYOFEiiSxrq4uRfz0jzEcvbOzU/VF5t2jxtPc3AyPx4PW1lbEYjG1BYveV2l21J+JfOZ6cEYmHM0C1xBUbmAIKgfIZN/PdA2FnW46kv4I/UfNaDU6ylOpFGpra1WAAAURHfwjRoxAeXk5/H4/QqGQbQfedDqtMi1IwUZIBz/XJunBD2yTrh3IKD59nCSkppefn4+ioiIUFRWhublZaU4MyOB9vV4vSktLEQgEEAqFVKQa1/pITdSJ/LN9XhxLEhP7LolP14KkdkOtVd/4UYae80USZtuDwSCKi4tVkmBOBlpaWmzPgVGPsVgMDQ0NNo1Qmi/l5EHX3vUUT9nACFuDXMAQ1ACgJ7OSbuKTx/jZacZGAuOsu7W11ebzoIClf4gh6AUFBfD7/WrHXgmZvYHmIyZQ1U2AwAFTmC789Fm5k0CT/ZXCUQZcSFMXNSTulcR1ROwX39nGbEHCkOOuBy5Qy9PHn2NAIpDHGCLvZE7TTb2SpOUzo9Yqx7azs1P5pZjySSbFlW1zGm8nws70+zLoDqNB5QaGoHIInXj0c4QumGR0HtA9SEKf2VIQMvS6ubkZwH6TXU1NDQoLC1FZWYlQKKR2ZfX5fGovqWg0qrQm2W6GVodCIRQUFKCwsNC2CV5HRweam5sVAUgSkQKe21zoYeYyA7ocE2naYnkprFk+mUwiFospfxhJKhwOqwWqzKDQ0tKixkt3+Dv5/JyEh963RCJh67MkNj4jjiM1z2AwaDONMtKOz0+PgGQwBc2ykmipMbW0tKChoUGNsyQ8/ffmNNZ6GeNvOjiYMet/GILKMXpj7tOFpV6HboqRoJCkkJJ+Kb5TiEttR25VIROhsr2MBuT6n7y8PJt/SoawU7jKMGxJqE7+GqcxIHlRU2ObGBEotTOaITs6OpSvh5oG/T1O273rkKZV+ayc/Et64IIeVCHbp59j2yRkqiG2QwZVyKhI2R5G2TFARobJy3HIpK3qWlRPQtZoUc4wGlRuYAgqh+iJlJzOUwDrIdssr8+KpdlMChwZjdfe3o66ujrE43EEAgE0NjaipKQEI0aMQDqdxt69e9Ha2op4PG4LKbcsSy3GpQZFHxDDlqWPh9F9hYWFtkwLepi57ouShMnv1KAYPs9FwizH4BAuUN63bx8KCgqUNkjyktob/TZOGcl106FOTHJMKPi50FZmo5AJX2VQRVdXl9o2hOPE58t+6YleeW06nVZZINra2rBv3z4kk0nU19ejpaVFkbT0LUl/G1+sU/4+Mv1G3QSok9n5aIchqNzAENQAQRcMuplJbn3AY7oQlf4LqfnIjf1IUMlkUmUd2LNnD8rLyxGPx1Wets7OThWIIJ3kBQUFiqAYCWhZlor4k3n/GL7OtVHSDyLrBOwkpYdsk6AYtKFrk9T6WE6mQUqlUjaNSWp5ckzlmGeC3iY5xvTj6Vk2ZJCL1Gq4bos+P0482Ff5fPmd5Mckv7FYDDt37lRaE+uUvw8+e5lRQv6GpP+sN9qTDqNNHYAhqNzAENQggRNh6dqRjAzjuxNJ6X8WCiQKOgAq0SoFFjUOGZjADBPcvZemKKkZAVCBCU5RarrvQ/rVMmU0p0aS7R9fBgzQN0Tovi+dGLMhLOmj4zjQlyfrkJCkIceV/qiCggK14JamOplWSvaLUZXMCCEJXr47hfJn6peTia83Y25gkEsYghoguJlX5MybQkhPYyP39qEpR5rQ3EKpU6kU6uvr1Wvfvn0qG4Tup6G/hyHo8v7MiC7XRxUWFiIcDqt1SFJTAmCL/JP9dIKMEOzs7FTJb52i5ui3Yb1ckCrbKzcflEEG+uJkJ7MjzzG0vaOjwxYlGAgEVCohN7OhNBlSgyopKUEoFEJhYSGCwSASiQR2796N9vZ2NDU1qeATmTWCGTLkpEKOl07Abv5Pp8mQfOkTnp5giMpoULmCIahBCF37cRLqcvavL3J1ElD8LIMkaCoDYNu7iaCWo6+HcgoV1/Py6W3W/R+Zohul1ghAmc6c+ux0LSMV2Ten9Vfy/lLLkRqfHpDByECSHUP4ZUonXStzyjwhzW1yQTMJWWpKcksNpqriImknrcdJUGbyNenjkq2572DNgkcqDEHlBoagcoienNBO0MtLgUsfC4lE1i/NatJv4mTqA6DMfTTj6QtJSQhOWo8MBJCZHajJMXChvb1daQDSLOnWV33sGODA9oRCIXi9XhQWFir/FEPqnepzGn8SDwmZGR4A2PZH0nPQyYwZ9AcBUL630tJSW0CG1EaYUsrv96s8ghz7lpYWxGIxFchCfyHNrdI8yedBU2M25jxJjm6mTKmJZUNSRrB2hyGo3MAQVI7hJDDkuZ4ITJ9xMwhACh63BaMykktfN5VOp5FIJFRqHc7MGWnGEG22Qb5zOw8ASquQQo5CmmYp3tOtvZnGTZrlgsFgtwW0XN+ka21uod9ywazP50NBQQGCwSAA2HxtHDNdgyLxUoOyrP1BG8XFxQD2mxhJ0GwjNSzL2h9cwshJpiZqbm627XLrpmGyj/oiXAmnCYBTfU7+q0xamH6dgR2GoHIDQ1CHCJlMLNlqWRTAXBSr+2WkEKa2RFOQDH3WNSKprUjSoqYkTXe8P01a3FadAhyALaNDIBDo5hvR8/I5rY2SodIkOkYiyrRAjKKTIejUjmTUIfeSYhv1jRc5dj6fT0U1UmPluMlFuPJ6udaK0XfSDMq6Ozo6FLnRhEeNSa6FcnrmTn4ht9+NrjFl8nW6EZRb+Z6OHa0wBJUbGII6BOiJgJyc2U4zXinESFIkg0x7FMk/j74nkKy3o6NDBRmwPmn2owYjCYJkYFn7AwlkGYany8XDNE16vV60trZ22+ZD778MDmhpaVHrsbhVRVFRkQo1T6VSKseg3+9HOBxGXl4eampqVGCH1EK48y4j6ugLoiYjNSkZui8nCPRDUQvz+/22RcwkWJoGuYaJIf3yGXHcJbnJTQLl7yQT+cgyPQVE9MbvpNdjYJBrGII6BDgYX5RbPXyn+UlGm7mZhtzMXU4OcrZVamC8D8lF165IQPyupymS92GQga65UBhLrZBkwv6yXhk04RScIJOz0nRJ7Udu6y5NpwwYkVuJUIOS9UvIxbtsC4MZpN+KBMq0RiRdmvP09EP6M3fTmjKRVCZycrqXIae+wWhQuUG/E1QqlcKNN96IP/7xj6ipqUFVVRW++93v4vrrr7cJo8WLF+O3v/0tmpqacNZZZ2Hp0qUYM2ZMfzdn0KAnfwHLOJGHU+CEJBIKR5nYlddlG+3lJNDk7N/j8ajtPOi7Ya44CncZaEFSY/YGCuLCwkJlFuT283KLD7l5IHCApJidnKY0npfpjEhc+fn5Kn8dt0DnXlEtLS3Kj5RMJlFYWAi/368WGDNM3u/3q8AFhtrLcPu8vDzEYjG1JT2DGqT5lCRI7Y4mPtlnkiDHWz4n9r+nCY7bxESvS5pZpdbak6A0grRnGILKDfqdoG6//XYsXboUjzzyCE4++WSsX78es2fPRiQSwY9+9CMAwB133IF7770XjzzyCKqrq3HDDTdg6tSp2LRpk/IbHA1wMu1lOsbjutCRx3THuE54mWbOktCkv0hmUADs273L7Aj6ei2GrEuNhouD5YaJzMDt9Xpt0WsETYhtbW0qmo+JYanVUaOTmh23BWEAQzKZhNfrtUVFUsviWi62z+v1IpFIqAg7tod+NwBoa2tTkYrxeNy2c6/0u8lUSPqz0bUa/flk0owzmfx0bTjT5KQ3MELVGYagcoN+J6iXX34ZF154IaZNmwYAOOaYY/Doo4/i1VdfBbD/odx99924/vrrceGFFwIA/vCHP6CiogIrV67EjBkz+rtJhyWciEoe149JUx8hw7qdTEMyJY8850Zs8h4kEWbiZji4vK8M5GCgRUdHh9qenAQmAwFked0ESRKTWdeppTU1NSnzWUtLC/x+P+LxuAqikO2lNsNQ9bq6OuTl5aGpqUlpXPRRMRM6icjj8ahMFTTTyVx/bs9L9w/qz8np2WYrwPRx4ntfiMkIz97BEFRu0O8E9elPfxoPPvggPvjgAxx//PF488038dJLL+HOO+8EAGzbtg01NTWYMmWKuiYSiWDSpElYu3atI0HRdk/E4/H+bvaAwo2M5DnCzZSjR8mxLF80/0ny0DMSyHvQxyN9UDJogC9du3Jqo7wf/TzUVqhZUfuRZfUx4Htrayva2trUduYy9JvluL4pPz8f4XAYRUVF3ciXWlJdXZ2tfwyc6OrqQlNTkzIHJpPJbtqlUwYHp37rC3YzaT+y39mSi5Mmpl/X0/WZYIRpZgwEQd1222249tprceWVV+Luu+8GsD9ryn/+53/iscceQzKZxNSpU/HrX/8aFRUV6rrt27fjsssuw3PPPYeioiLMmjULS5YssS3Sf/7557Fw4UK8++67GDlyJK6//np897vftd3/gQcewC9+8QvU1NTg1FNPxX333YczzjijT33S0e8Edc011yAej2Ps2LHKIX7rrbdi5syZAICamhoAsA0Yv/OcjiVLluCmm27q76YeltD9EVLQZSOA9OulwHQyQekvNw0u03fWK9MfMUhC7opLU5teh+4v4TmSFDUemZBWhsrrxCc/S78Q28J2UeOib0wuwGW7dBOpHEu3V1/Rk7m2t1pTX4jLYGDw2muv4Te/+Q0++clP2o7/+Mc/xlNPPYXHH38ckUgE8+fPx1e/+lX83//9H4D9/71p06ahsrISL7/8Mvbs2YPvfOc7KCgowM9//nMA+5WIadOm4Yc//CGWL1+ONWvW4Hvf+x6GDRuGqVOnAgD+9Kc/YeHChVi2bBkmTZqEu+++G1OnTsXmzZsxdOjQfuunx+rnX+Bjjz2Gq666Cr/4xS9w8skn44033sCCBQtw5513YtasWXj55Zdx1llnYffu3Rg2bJi67uKLL4bH48Gf/vSnbnU6aVAjR47sz2YPKvRWiDlpLPKzbm5zm9XLd91Mpy8QdRLMhC5AnYSkHtQh7+lWl35vZnwA3CMGqQ1KjVC22ylThtQudeJzI3KnEH99IuH0nJzIRv/Ml75gOptr9WPZ4mgiplgshnA4fFDXxuNxRCIRnHfeeVntOybR2dmJVatW9fr+LS0t+NSnPoVf//rXuOWWWzB+/HjcfffdiMViKC8vx4oVK/C1r30NAPD+++/jxBNPxNq1a3HmmWfimWeewfnnn4/du3crJWHZsmW4+uqrsXfvXvh8Plx99dV46qmn8M4776h7zpgxA01NTVi1ahUAYNKkSTj99NNx//33A9j/mxw5ciSuuOIKXHPNNb0ah0zodw3qqquuwjXXXKNMdePGjcPHH3+MJUuWYNasWaisrAQA1NbW2giqtrYW48ePd6yTUVVHC5yEWU/lCSn0pIPciYhkhJibmSkTnLQC1ucmKCnkZXi2FO49mbnksZ5AU6eeS9CpH0D3PaH0e+mmWAZkOBG6hFOYupMW7KQRZSL7nsx3xidy6NAXE5/usuhJ3s2bNw/Tpk3DlClTcMstt6jjGzZsQGdnp819MnbsWIwaNUoR1Nq1azFu3DibBWvq1Km47LLL8O677+K0007D2rVrbXWwzIIFCwDs/z9t2LAB1157rTrv9XoxZcoUrF27tldj0BP6naDa2tq6rYbnWhUAqK6uRmVlJdasWaMIKR6PY926dbjsssv6uzmHLZx+7NmQhyQ3/TPgHPWnC1cnDcztz5fNH1P6umR73ARyTxqBHIuexsRNI5PndY2op/5JQsuWaHRkQzK69uRE1NneLxMMMfUdfSEo3Rq0ePFi3HjjjY7XPPbYY3j99dfx2muvdTtXU1MDn8+HaDRqOy7dJzU1NY7uFZ7LVCYejyORSKCxsRGpVMqxzPvvv5+hx71HvxPUBRdcgFtvvRWjRo3CySefjI0bN+LOO+/EpZdeCmD/n3vBggW45ZZbMGbMGBVmXlVVhenTp/d3c44oZPoD9OSXkqTE75w06GY/ecyJsLIxHTldp/fFyXSlm6+c+uj23hPcNFPdtCmP6cTqdr9syEJe59ZPfXz1IAw3QWjMeAOLvhDUjh07bCY+N+1px44duPLKK7F69eqjZjlOvxPUfffdhxtuuAGXX3456urqUFVVhR/84AdYtGiRKvOTn/wEra2tmDt3LpqamvCZz3wGq1atOmoG/VDBSYPSv8vPehi5m8mqt1pLT3DKHdgbgnLrl0QmcuqJ6Jzu4zQhcLpnpu9ObXMzZx6MAMwEQ079i74QVDgczsoHtWHDBtTV1eFTn/qUOpZKpfDiiy/i/vvvxz/+8Q+1NEJqUbW1tcq1UllZqZb8yPM8x3cek2XC4bAtlZlTGdbRX+h3giouLsbdd9+twh6d4PF4cPPNN+Pmm2/u79sftXATwNn8aSQx6duiS61KrnOS2Sp0ZDLj6USSqX1OZTIFGuj3zHT/3pKo27XZjHs2BKYTkVMgRF9MeYaQDn+cc845ePvtt23HZs+ejbFjx+Lqq6/GyJEjUVBQgDVr1uCiiy4CAGzevBnbt2/H5MmTAQCTJ0/Grbfeirq6OhVtt3r1aoTDYZx00kmqzNNPP227z+rVq1UdPp8PEyZMwJo1a5TVK51OY82aNZg/f36/9tnk4juCoGtJbmV0H1VPREDtxsnUpfuo3O6tn+c1Pfm7nD73ZGLrSQMD3AMinO6rX6uPW6Y26XW7EbROUH3xMxkyGhjketyLi4txyimn2I6FQiGUlZWp43PmzMHChQtRWlqKcDiMK664ApMnT8aZZ54JADj33HNx0kkn4dvf/jbuuOMO1NTU4Prrr8e8efOUafGHP/wh7r//fvzkJz/BpZdeimeffRZ//vOf8dRTT6n7Lly4ELNmzcLEiRNxxhln4O6770Zraytmz57dr302BHUUwslHJSGPy6AKmenBLbDCySTI4/I9EwH0B5yiCzOVdWuDm7/HiSx7YwrtSVtyes+mLwYDg76Y+PoTd911F7xeLy666CLbQl0iLy8PTz75JC677DJMnjwZoVAIs2bNslmzqqur8dRTT+HHP/4x7rnnHowYMQL/7//9P7UGCgC+8Y1vYO/evVi0aBFqamowfvx4rFq1qlvgRF/R7+ugDgW49sAgM3oj9Hvrf+HLKczaKcWSfm1v/tBuWohTmUzlemPyc9NwnOr3eA6s5ZLXu5npLOtAIlkZGJKp7/rnTDgM/9IDiv5YB/WFL3zBlokhG3R1deHZZ5/t0/2PdBgNygBAz74UN21LaliSfNyIyUmr6SlCzs0c6KTJ6ALdrd2yjL7po7xON1/2ZPqTn53MdW6mPP36g9UoDTkNDAaLBnWkwRDUEYye/DCZyrtpFPKzm0nLiZScTID6eafyhNs28bItHo/Hpo1ILUYe0wk0U/CDk8/Oqd/6Vhm8dyZScjPhOR0zPqfBDUNQuYEhKANHZOOzcROiPZGR/l2GmbvdS//s1ka3tvGYJIX+8ntJMnN6ua1hyoaY3O5nYHA0wBDUUYZMfpze1pFNuZ58UW7n9PRHMrRd5u4j+FmSgVwA7ESmPObkA8qk6TiRjJuvyum7070MDm8YDSo3MAR1lKI//B3Z1O3kB8oUNcfjesCFzEjuFJzBe3EHXgAqEAFwz9yQyQzo1KeefEpO93AbF4MjB4agcgNDUAY5h25OyyZ4geUAdCMgXu+W/TwbE1s2/rZMJCXvpX9264fb997ACLXBCUNQuYEhKINe/VH6K7oskw9IlpXajZtJsKd7HWyZbK/tjcmzP8oYDD4YgsoNDEEZ9Ar9HVwgke36pkzle1Mum7Zlew+jFRkY9D8MQRn0GrnyX2UrqDNF6vWl3oO5pq/kYsjpyIDRoHIDQ1AGfUJ/RAUe7D2JbNd29ce9+gojlI5MGILKDQxBGfQLchkV2Jt7GxgMBAxB5QaGoAz6HQf7x+vJB+VWZrDACJyjF4agcgNDUAaDEplCtgcjSRlhc3TDEFRu4JzgzMBgANDTQle93GDAwQgmAwOD7GA0KINBhVxGzzktyO2NNmaIyMANRoPKDQxBGRw1yDYPXjZJaQ0MJAxB5QaGoAwMNBjBYdBbGILKDQxBGRgYGPQRhqByA0NQBgYGBv0AQzj9DxPFZ2BgYGAwKGE0KAMDA4M+wpj4cgNDUAYGBgZ9hCGo3MAQlIGBgUEfYQgqNzAEZWBgYNBHGILKDQxBGRgYGPQRhqByAxPFZ2BgYGAwKGE0KAMDA4M+wmhQuYEhKAMDA4M+whBUbmAIysDAwKCPMASVGxiCMjAwMOgjDEHlBoagDAwMDPoIQ1C5gYniMzAwMDAYlDAalIGBgUEfYTSo3MAQlIGBgUEfYQgqNzAEZWBgYNBHGILKDXrtg3rxxRdxwQUXoKqqCh6PBytXrrSdtywLixYtwrBhwxAMBjFlyhRs2bLFVqahoQEzZ85EOBxGNBrFnDlz0NLS0qeOGBgYGAwUSFC9ffUGS5Yswemnn47i4mIMHToU06dPx+bNm21l2tvbMW/ePJSVlaGoqAgXXXQRamtrbWW2b9+OadOmobCwEEOHDsVVV12Frq4uW5nnn38en/rUp+D3+3Hcccfh4Ycf7taeBx54AMcccwwCgQAmTZqEV199tVf9yQa9JqjW1laceuqpeOCBBxzP33HHHbj33nuxbNkyrFu3DqFQCFOnTkV7e7sqM3PmTLz77rtYvXo1nnzySbz44ouYO3fuwffCwMDAYABxKAjqhRdewLx58/DKK69g9erV6OzsxLnnnovW1lZV5sc//jH+/ve/4/HHH8cLL7yA3bt346tf/ao6n0qlMG3aNHR0dODll1/GI488gocffhiLFi1SZbZt24Zp06bh85//PN544w0sWLAA3/ve9/CPf/xDlfnTn/6EhQsXYvHixXj99ddx6qmnYurUqairq+vDKDrA6gMAWE888YT6nk6nrcrKSusXv/iFOtbU1GT5/X7r0UcftSzLsjZt2mQBsF577TVV5plnnrE8Ho+1a9eurO4bi8UsAOZlXuZlXn1+xWKxg5aBlEXHHXecdcIJJ/Tqddxxx/Xp/nV1dRYA64UXXrAsa7+sLSgosB5//HFV5r333rMAWGvXrrUsy7Kefvppy+v1WjU1NarM0qVLrXA4bCWTScuyLOsnP/mJdfLJJ9vu9Y1vfMOaOnWq+n7GGWdY8+bNU99TqZRVVVVlLVmy5KD64oZ+DTPftm0bampqMGXKFHUsEolg0qRJWLt2LQBg7dq1iEajmDhxoiozZcoUeL1erFu3zrHeZDKJeDxuexkYGBgMFlh90KB02ZZMJrO6ZywWAwCUlpYCADZs2IDOzk6b/B07dixGjRplk7/jxo1DRUWFKjN16lTE43G8++67qoysg2VYR0dHBzZs2GAr4/V6MWXKFFWmv9CvBFVTUwMAts7zO8/V1NRg6NChtvP5+fkoLS1VZXQsWbIEkUhEvUaOHNmfzTYwMDDoE/pCUCNHjrTJtyVLlvR4v3Q6jQULFuCss87CKaecAmC/bPX5fIhGo7ayuvx1ks88l6lMPB5HIpHAvn37kEqlMsr5/sJhEcV37bXXYuHChep7PB43JGVgYDCoYPXSp0Ts2LED4XBYfff7/T1eM2/ePLzzzjt46aWXDuqehwv6laAqKysBALW1tRg2bJg6Xltbi/Hjx6syuiOtq6sLDQ0N6nodfr8/q4dmYGBgMBCwDiLogeXD4bCNoHrC/PnzVXDZiBEj1PHKykp0dHSgqanJpkXV1tYq2VpZWdkt2o5RfrKMHvlXW1uLcDiMYDCIvLw85OXlOZZxk+EHi3418VVXV6OyshJr1qxRx+LxONatW4fJkycDACZPnoympiZs2LBBlXn22WeRTqcxadKk/myOgYGBwSFBX0x8vbnH/Pnz8cQTT+DZZ59FdXW17fyECRNQUFBgk7+bN2/G9u3bbfL37bfftikJq1evRjgcxkknnaTKyDpYhnX4fD5MmDDBViadTmPNmjWqTL+ht1EVzc3N1saNG62NGzdaAKw777zT2rhxo/Xxxx9blmVZt912mxWNRq2//vWv1ltvvWVdeOGFVnV1tZVIJFQd5513nnXaaadZ69ats1566SVrzJgx1iWXXJJ1G0wUn3mZl3n116s/oviOOeYY69hjj+3V65hjjunV/S+77DIrEolYzz//vLVnzx71amtrU2V++MMfWqNGjbKeffZZa/369dbkyZOtyZMnq/NdXV3WKaecYp177rnWG2+8Ya1atcoqLy+3rr32WlVm69atVmFhoXXVVVdZ7733nvXAAw9YeXl51qpVq1SZxx57zPL7/dbDDz9sbdq0yZo7d64VjUZt0YH9gV4T1HPPPef4kGfNmmVZ1v5Q8xtuuMGqqKiw/H6/dc4551ibN2+21VFfX29dcsklVlFRkRUOh63Zs2dbzc3NWbfBEJR5mZd59derPwhq9OjRVnV1da9eo0eP7tX93dr/0EMPqTKJRMK6/PLLrZKSEquwsND6yle+Yu3Zs8dWz0cffWR98YtftILBoDVkyBDrP//zP63Ozk5bmeeee84aP3685fP5rGOPPdZ2D+K+++6zRo0aZfl8PuuMM86wXnnllV6PX0/w/P87flghHo8jEokMdDMMDAyOAMRisV75gCQoi0aNGgWvt3cek3Q6je3bt/fp/kc6DosoPgMDA4PBDMvk4ssJDEEZGBgY9BGGoHIDQ1AGBgYGfYQhqNzA7KhrYGBgYDAoYTQoAwMDgz7CaFC5gSEoAwMDgz7CEFRuYAjKwMDAoI8wBJUbGIIyMDAw6CMMQeUGhqAMDAwM+ghDULmBieIzMDAwMBiUMBqUgYGBQR9hNKjcwBCUgYGBQR9hCCo3MARlYGBg0EcYgsoNDEEZGBgY9BGGoHIDQ1AGBgYGfYQhqNzARPEZGBgYGAxKGA3KwMDAoB9gNKL+hyEoAwMDgz7iYMjJEFrPMARlYGBg0EcYgsoNDEEZGBgY9BGGoHKDw5KgzIM1MDDoL/SHPDEElRscllF8zc3NA90EAwODIwRGngxeHJYaVFVVFTZt2oSTTjoJO3bsQDgcHugmHRTi8ThGjhxp+jDAMH0YHDjUfbAsC83NzaiqquqXug7FNUcbDkuC8nq9GD58OAAgHA4ftn9IwvRhcMD0YXDgUPYhEon0Sz2GoHKDw5KgDAwMDAYTDEHlBoagDAwMDPoIQ1C5wWFLUH6/H4sXL4bf7x/ophw0TB8GB0wfBgcO5z4YgsoNPJYZJQMDA4ODQjweRyQSQSAQgMfj6dW1lmWhvb0dsVjssPcb5gqHrQZlYGBgMFhgNKjcwBCUgYGBQR9hCCo3MARlYGBg0EcYgsoNDEEZGBgY9BGGoHIDQ1AGBgYGfYQhqNzgsMzFBwAPPPAAjjnmGAQCAUyaNAmvvvrqQDfJEUuWLMHpp5+O4uJiDB06FNOnT8fmzZttZdrb2zFv3jyUlZWhqKgIF110EWpraweoxT3jtttug8fjwYIFC9Sxw6EPu3btwre+9S2UlZUhGAxi3LhxWL9+vTpvWRYWLVqEYcOGIRgMYsqUKdiyZcsAttiOVCqFG264AdXV1QgGg/jEJz6Bn/3sZzZBN9j68OKLL+KCCy5AVVUVPB4PVq5caTufTXsbGhowc+ZMhMNhRKNRzJkzBy0tLYewFwYDBuswxGOPPWb5fD7r97//vfXuu+9a3//+961oNGrV1tYOdNO6YerUqdZDDz1kvfPOO9Ybb7xhfelLX7JGjRpltbS0qDI//OEPrZEjR1pr1qyx1q9fb5155pnWpz/96QFstTteffVV65hjjrE++clPWldeeaU6Ptj70NDQYI0ePdr67ne/a61bt87aunWr9Y9//MP68MMPVZnbbrvNikQi1sqVK60333zT+vKXv2xVV1dbiURiAFt+ALfeeqtVVlZmPfnkk9a2bdusxx9/3CoqKrLuueceVWaw9eHpp5+2fvrTn1p/+ctfLADWE088YTufTXvPO+8869RTT7VeeeUV63//93+t4447zrrkkksOcU+cEYvFLACW1+u18vLyevXyer0WACsWiw10NwYtDkuCOuOMM6x58+ap76lUyqqqqrKWLFkygK3KDnV1dRYA64UXXrAsy7KampqsgoIC6/HHH1dl3nvvPQuAtXbt2oFqpiOam5utMWPGWKtXr7Y+97nPKYI6HPpw9dVXW5/5zGdcz6fTaauystL6xS9+oY41NTVZfr/fevTRRw9FE3vEtGnTrEsvvdR27Ktf/ao1c+ZMy7IGfx90gsqmvZs2bbIAWK+99poq88wzz1gej8fatWvXIWu7G0hQHo/H8nq9vXp5PJ6DIqj777/fGj16tOX3+60zzjjDWrduXY56N/A47Ex8HR0d2LBhA6ZMmaKOeb1eTJkyBWvXrh3AlmWHWCwGACgtLQUAbNiwAZ2dnbb+jB07FqNGjRp0/Zk3bx6mTZtmaytwePThb3/7GyZOnIivf/3rGDp0KE477TT89re/Vee3bduGmpoaWx8ikQgmTZo0aPrw6U9/GmvWrMEHH3wAAHjzzTfx0ksv4Ytf/CKAw6MPEtm0d+3atYhGo5g4caIqM2XKFHi9Xqxbt+6Qt9kN1v7Jfq9fvcWf/vQnLFy4EIsXL8brr7+OU089FVOnTkVdXV0OejXwOOwIat++fUilUqioqLAdr6ioQE1NzQC1Kjuk02ksWLAAZ511Fk455RQAQE1NDXw+H6LRqK3sYOvPY489htdffx1Llizpdu5w6MPWrVuxdOlSjBkzBv/4xz9w2WWX4Uc/+hEeeeQRAFDtHMy/q2uuuQYzZszA2LFjUVBQgNNOOw0LFizAzJkzARwefZDIpr01NTUYOnSo7Xx+fj5KS0sHXZ9yTU4AcOedd+L73/8+Zs+ejZNOOgnLli1DYWEhfv/73/dzbwYHTBTfIcS8efPwzjvv4KWXXhropvQKO3bswJVXXonVq1cjEAgMdHMOCul0GhMnTsTPf/5zAMBpp52Gd955B8uWLcOsWbMGuHXZ4c9//jOWL1+OFStW4OSTT8Ybb7yBBQsWoKqq6rDpg0F3xONx23e/3++Yj5DWo2uvvVYdO5ysRweDw06DGjJkCPLy8rpFiNXW1qKysnKAWtUz5s+fjyeffBLPPfccRowYoY5XVlaio6MDTU1NtvKDqT8bNmxAXV0dPvWpTyE/Px/5+fl44YUXcO+99yI/Px8VFRWDvg/Dhg3DSSedZDt24oknYvv27QCg2jmYf1dXXXWV0qLGjRuHb3/72/jxj3+stNrDoQ8S2bS3srKym/mqq6sLDQ0Ng6JPPp+vT+0oKirCyJEjEYlE1MvJSgEc3tajg8VhR1A+nw8TJkzAmjVr1LF0Oo01a9Zg8uTJA9gyZ1iWhfnz5+OJJ57As88+i+rqatv5CRMmoKCgwNafzZs3Y/v27YOmP+eccw7efvttvPHGG+o1ceJEzJw5U30e7H0466yzuoX3f/DBBxg9ejQAoLq6GpWVlbY+xONxrFu3btD0oa2tDV6v/S+bl5eHdDoN4PDog0Q27Z08eTKampqwYcMGVebZZ59FOp3GpEmTDnmbdQQCAWzbtg2xWOygXjt37ux2TGpIRz0OUTBGv+Kxxx6z/H6/9fDDD1ubNm2y5s6da0WjUaumpmagm9YNl112mRWJRKznn3/e2rNnj3q1tbWpMj/84Q+tUaNGWc8++6y1fv16a/LkydbkyZMHsNU9Q0bxWdbg78Orr75q5efnW7feequ1ZcsWa/ny5VZhYaH1xz/+UZW57bbbrGg0av31r3+13nrrLevCCy8cVGHms2bNsoYPH67CzP/yl79YQ4YMsX7yk5+oMoOtD83NzdbGjRutjRs3WgCsO++809q4caP18ccfZ93e8847zzrttNOsdevWWS+99JI1ZsyYQRNmfiiRTCatvLy8bqH63/nOd6wvf/nLA9OoHOOwJCjLsqz77rvPGjVqlOXz+awzzjjDeuWVVwa6SY4A4Ph66KGHVJlEImFdfvnlVklJiVVYWGh95Stfsfbs2TNwjc4COkEdDn34+9//bp1yyimW3++3xo4daz344IO28+l02rrhhhusiooKy+/3W+ecc461efPmAWptd8TjcevKK6+0Ro0aZQUCAevYY4+1fvrTn1rJZFKVGWx9eO655xx//7Nmzcq6vfX19dYll1xiFRUVWeFw2Jo9e7bV3Nw8AL0ZeJxxxhnW/Pnz1fdUKmUNHz78sFhiczAw+0EZGBgYHCb405/+hFmzZuE3v/kNzjjjDNx9993485//jPfff7+bb+pIgIniMzAwMDhM8I1vfAN79+7FokWLUFNTg/Hjx2PVqlVHJDkBZkddAwMDA4NBisMuis/AwMDA4OiAISgDAwMDg0EJQ1AGBgYGBoMShqAMDAwMDAYlDEEZGBgYGAxKGIIyMDAwMBiUMARlYGBgYDAoYQjKwMDAwGBQwhCUgYGBgcGghCEoAwMDA4NBCUNQBgYGBgaDEv8/pl+CfZ/UvkYAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#plot example of b=0 image\n", + "fig = plt.figure(figsize=(15, 4))\n", + "plt.subplot(131)\n", + "plt.imshow(np.squeeze(slice_data[:,:,0]), cmap='gray')\n", + "plt.title('image at b=0 mm2/s')\n", + "plt.colorbar()" + ] + }, + { + "cell_type": "markdown", + "id": "e9b8badf-e126-4125-8153-46e0aad9b6a6", + "metadata": {}, + "source": [ + "This plot shows the b=0 image, thus the b=0 if the selected slice." + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "2855a999", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 4274/4274 [00:02<00:00, 1746.21it/s]\n" + ] + }, + { + "data": { + "text/plain": [ + "(4274, 3)" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#apply algorithm 2 to the diffusion data to obtain f, D* and D for each voxel in the slice (1 direction)\n", + "OsipiBase.osipi_fit(algorithm2,slice_data_norm,bval).shape\n", + "\n", + "#Algorithm 2 does not seem to give accurate fit paramters using osipi_fit 2D data" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "f895cf1e", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 4274/4274 [00:34<00:00, 123.92it/s]\n" + ] + }, + { + "data": { + "text/plain": [ + "array([[3.60661882e-01, 8.97730559e-03, 2.93929425e-04],\n", + " [2.23216905e-01, 3.06544103e-02, 7.61525737e-04],\n", + " [1.87552616e-01, 4.75952785e-02, 8.11624957e-04],\n", + " ...,\n", + " [4.19638602e-13, 5.00080184e-03, 7.05240582e-04],\n", + " [1.15135110e-16, 5.00000000e-03, 5.36429577e-04],\n", + " [6.27625301e-12, 1.00000000e-01, 2.42459625e-04]])" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#apply algorithm 1 to the diffusion data to obtain f, D* and D for each voxel in the slice\n", + "maps = OsipiBase.osipi_fit(algorithm1,slice_data_norm,np.unique(bval))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "fe189fb1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "f_array=maps[:,0]\n", + "Dstar_array=maps[:,1]\n", + "D_array=maps[:,2]\n", + "\n", + "f_map = np.zeros([sx * sy])\n", + "f_map[valid_id] = f_array[0:sum(valid_id)]\n", + "f_map = np.reshape(f_map, [sx, sy])\n", + "\n", + "Dstar_map = np.zeros([sx * sy])\n", + "Dstar_map[valid_id] = Dstar_array[0:sum(valid_id)]\n", + "Dstar_map = np.reshape(Dstar_map, [sx, sy])\n", + "\n", + "D_map = np.zeros([sx * sy])\n", + "D_map[valid_id] = D_array[0:sum(valid_id)]\n", + "D_map = np.reshape(D_map, [sx, sy])\n", + "\n", + "#plot example of IVIM parameters maps\n", + "fig = plt.figure(figsize=(15, 4))\n", + "plt.subplot(131)\n", + "plt.imshow(np.squeeze(f_map[:,:]), cmap='gray')\n", + "plt.title('f')\n", + "plt.colorbar()\n", + "\n", + "plt.subplot(132)\n", + "plt.imshow(np.squeeze(Dstar_map[:,:]), cmap='gray')\n", + "plt.title('D* [mm2/s]')\n", + "plt.colorbar()\n", + "\n", + "plt.subplot(133)\n", + "plt.imshow(np.squeeze(D_map[:,:]), cmap='gray')\n", + "plt.title('D [mm2/s]')\n", + "plt.colorbar()" + ] + }, + { + "cell_type": "markdown", + "id": "6f988922-d9d3-4861-936b-a2d005fd0d10", + "metadata": {}, + "source": [ + "These maps show the estimated f, D* and D values in the selected slice, estimated by algorithm 1.\n", + "\n", + "These results are in 2D, now we will fit on 3D data ans save the results." + ] + }, + { + "cell_type": "markdown", + "id": "0c42ca21", + "metadata": {}, + "source": [ + "### Apply the fit to 3D image and save the IVIM parameter maps" + ] + }, + { + "cell_type": "markdown", + "id": "e4eb27fe-5459-4657-b262-fc2e77c8109f", + "metadata": {}, + "source": [ + "Like the 2D data, we will fit the 3D data from a chosen acquired diffusion-sensitizing direction. \n", + "To fit the data in a certain direction, adapt direction = .. to the direction that you would like to fit." + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "2a216274", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(229120, 15)" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#fit the IVIM model for 1 direction\n", + "direction = 6 #choose: 1, 2, 3, 4, 5, or 6\n", + "data_1dir=datas[:,:,:,direction:None:6] #pick the signal with the same bvec\n", + "data_1dir=np.insert(data_1dir, 0 , datas[:,:,:,0], axis=3) #add S0\n", + "#reshape data for fitting\n", + "sx, sy, sz, n_bval = data_1dir.shape \n", + "X_dw = np.reshape(data_1dir, (sx * sy * sz, n_bval))\n", + "#select only relevant values, delete background and noise, and normalise data\n", + "selsb = np.array(np.unique(bval)) == 0\n", + "S0 = np.nanmean(X_dw[:, selsb], axis=1)\n", + "S0[S0 != S0] = 0\n", + "S0=np.squeeze(S0)\n", + "valid_id = (S0 > (0.5 * np.median(S0[S0 > 0]))) \n", + "data_norm = X_dw[valid_id, :]\n", + "data_norm.shape" + ] + }, + { + "cell_type": "markdown", + "id": "cd4929a3-77c5-4366-8da5-2226c3303a4d", + "metadata": {}, + "source": [ + "After reshaping and preprocessing the data (previous step), we will now apply a fitting algorithm to the 3D data to estimate the 3D parameter maps. This can take a while." + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "cee14e22", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 229120/229120 [30:22<00:00, 125.72it/s] \n" + ] + } + ], + "source": [ + "#apply algorithm 1 to the diffusion data to obtain f, D* and D for each voxel in the slice\n", + "maps = OsipiBase.osipi_fit(algorithm1,data_norm,np.unique(bval))\n", + "\n", + "f_array=maps[:,0]\n", + "Dstar_array=maps[:,1]\n", + "D_array=maps[:,2]\n", + "\n", + "f_map = np.zeros([sx * sy * sz])\n", + "f_map[valid_id] = f_array[0:sum(valid_id)]\n", + "f_map = np.reshape(f_map, [sx, sy, sz])\n", + "\n", + "Dstar_map = np.zeros([sx * sy * sz])\n", + "Dstar_map[valid_id] = Dstar_array[0:sum(valid_id)]\n", + "Dstar_map = np.reshape(Dstar_map, [sx, sy, sz])\n", + "\n", + "D_map = np.zeros([sx * sy * sz])\n", + "D_map[valid_id] = D_array[0:sum(valid_id)]\n", + "D_map = np.reshape(D_map, [sx, sy, sz])" + ] + }, + { + "cell_type": "markdown", + "id": "3a0c3a47-8b21-4246-bf49-b787adcc865b", + "metadata": {}, + "source": [ + "You can save the estimated parameter maps on your local computer. These will be saved in your 'TF2.4_IVIM-MRI_CodeCollection' folder in download/Data." + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "397d86c9", + "metadata": {}, + "outputs": [], + "source": [ + "# save these volumes as nii.gz files\n", + "savedir=('../download/Data')\n", + "nibabel.save(nibabel.Nifti1Image(f_map, data.affine, data.header),'{folder}/f.nii.gz'.format(folder = savedir))\n", + "nibabel.save(nibabel.Nifti1Image(Dstar_map, data.affine, data.header),'{folder}/Dstar.nii.gz'.format(folder = savedir))\n", + "nibabel.save(nibabel.Nifti1Image(D_map, data.affine, data.header),'{folder}/D.nii.gz'.format(folder = savedir))" + ] + }, + { + "cell_type": "markdown", + "id": "e1c9a3a9-fcf5-4665-837c-52e13328afb6", + "metadata": {}, + "source": [ + "## Apply to your own data\n", + "\n", + "This notebook shows you how to apply code from the repository to the example data from our zenodo. You can apply the code to your own data in two ways: \n", + "\n", + "-By providing your own data in the Data folder instead of the zenodo data, the you can just run and adapt this notebook.\n", + "-By creating your own script to use the repository's code, based on the code in this notebook.\n", + "\n", + "If anything is unclear, we are always happy to help you out!" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/phantoms/MR_XCAT_qMRI/sim_ivim_sig.py b/phantoms/MR_XCAT_qMRI/sim_ivim_sig.py index e3c5635..df334c3 100644 --- a/phantoms/MR_XCAT_qMRI/sim_ivim_sig.py +++ b/phantoms/MR_XCAT_qMRI/sim_ivim_sig.py @@ -11,7 +11,7 @@ # code adapted from MAtlab code by Eric Schrauben: https://github.com/schrau24/XCAT-ERIC # This code generates a 4D IVIM phantom as nifti file -def phantom(bvalue, noise, TR=3000, TE=40, motion=False, rician=False, interleaved=False): +def phantom(bvalue, noise, TR=3000, TE=40, motion=False, rician=False, interleaved=False,T1T2=True): np.random.seed(42) if motion: states = range(1,21) @@ -23,10 +23,10 @@ def phantom(bvalue, noise, TR=3000, TE=40, motion=False, rician=False, interleav # Access the variables in the loaded .mat file XCAT = mat_data['IMG'] - XCAT = XCAT[0:-1:2,0:-1:2,10:160:4] + XCAT = XCAT[-1:0:-2,-1:0:-2,10:160:4] D, f, Ds = contrast_curve_calc() - S, Dim, fim, Dpim, legend = XCAT_to_MR_DCE(XCAT, TR, TE, bvalue, D, f, Ds) + S, Dim, fim, Dpim, legend = XCAT_to_MR_DCE(XCAT, TR, TE, bvalue, D, f, Ds,T1T2=T1T2) if state == 1: Dim_out = Dim fim_out = fim @@ -95,15 +95,19 @@ def contrast_curve_calc(): D[8] = 3e-3 # 8 Blood ra D[10] = 1.37e-3 # 8 Muscle: 10.3389/fresc.2022.910068 D[13] = 1.5e-3 # 13 liver: Delattre et al. doi: 10.1097/RLI.0b013e31826ef901 + D[14] = 3.0e-3 # 13 Galbladder D[17] = 1.67e-3 # 17 esophagus : Huang et al. doi: 10.1259/bjr.20170421 D[18] = 1.67e-3 # 18 esophagus cont : Huang et al. doi: 10.1259/bjr.20170421 D[20] = 1.5e-3 # 20 stomach wall: Li et al. doi: 10.3389/fonc.2022.821586 + D[21] = 3.0e-3 # 21 stomach content D[22] = 1.3e-3 # 22 Pancreas (from literature) D[23] = 2.12e-3 # 23 right kydney cortex : van Baalen et al. Doi: jmri.25519 D[24] = 2.09e-3 # 23 right kydney medulla : van Baalen et al. Doi: jmri.25519 D[25] = 2.12e-3 # 23 left kydney cortex : van Baalen et al. Doi: jmri.25519 D[26] = 2.09e-3 # 23 left kydney medulla : van Baalen et al. Doi: jmri.25519 D[30] = 1.3e-3 # 30 spleen : Taimouri et al. Doi: 10.1118/1.4915495 + D[34] = 4.1e-4 # 34 spinal cord :doi: 10.3389/fonc.2022.961473 + D[35] = 0.43e-3 # 35 Bone marrow : https://pubmed.ncbi.nlm.nih.gov/30194746/ D[36] = 3e-3 # 36 artery D[37] = 3e-3 # 37 vein D[40] = 1.31e-3 # 40 asc lower intestine : Hai-Jing et al. doi: 10.1097/RCT.0000000000000926 @@ -124,15 +128,19 @@ def contrast_curve_calc(): f[8] = 1.00 # 8 Blood ra f[10] = 0.10 # 8 Muscle: 10.3389/fresc.2022.910068 f[13] = 0.11 # 13 liver : Delattre et al. doi: 10.1097/RLI.0b013e31826ef901 + f[14] = 0 # 13 Gal f[17] = 0.32 # 17 esophagus : Huang et al. doi: 10.1259/bjr.20170421 f[18] = 0.32 # 18 esophagus cont : Huang et al. doi: 10.1259/bjr.20170421 f[20] = 0.3 # 20 stomach wall: Li et al. doi: 10.3389/fonc.2022.821586 + f[21] = 0.0 # 20 stomach content f[22] = 0.15 # 22 Pancreas (from literature) f[23] = 0.097 # 23 right kydney cortex : van Baalen et al. Doi: jmri.25519 f[24] = 0.158 # 23 right kydney medulla : van Baalen et al. Doi: jmri.25519 f[25] = 0.097 # 23 left kydney cortex : van Baalen et al. Doi: jmri.25519 f[26] = 0.158 # 23 left kydney medulla : van Baalen et al. Doi: jmri.25519 f[30] = 0.2 # 30 spleen : Taimouri et al. Doi: 10.1118/1.4915495 + f[34] = 0.178 # 34 spinal cord :doi: 10.3389/fonc.2022.961473 + f[35] = 0.145 # 35 Bone marrow : https://pubmed.ncbi.nlm.nih.gov/30194746/ f[36] = 1.0 # 36 artery f[37] = 1.0 # 37 vein f[40] = 0.69 # 40 asc lower intestine : Hai-Jing et al. doi: 10.1097/RCT.0000000000000926 @@ -153,15 +161,19 @@ def contrast_curve_calc(): Ds[8] = 0.1 # 8 Blood ra Ds[10] = 0.0263 # 8 Muscle: 10.3389/fresc.2022.910068 Ds[13] = 0.1 # 13 liver: Delattre et al. doi: 10.1097/RLI.0b013e31826ef901 + Ds[14] = 0.1 # 14 Gal Ds[17] = 0.03 # 17 esophagus : Huang et al. doi: 10.1259/bjr.20170421 Ds[18] = 0.03 # 18 esophagus cont : Huang et al. doi: 10.1259/bjr.20170421 Ds[20] = 0.012 # 20 stomach wall: Li et al. doi: 10.3389/fonc.2022.821586 + Ds[21] = 0.0 # 20 stomach content Ds[22] = 0.01 # 22 Pancreas (from literature) Ds[23] = 0.02 # 23 right kydney cortex : van Baalen et al. Doi: jmri.25519 Ds[24] = 0.019 # 23 right kydney medulla : van Baalen et al. Doi: jmri.25519 Ds[25] = 0.02 # 23 left kydney cortex : van Baalen et al. Doi: jmri.25519 Ds[26] = 0.019 # 23 left kydney medulla : van Baalen et al. Doi: jmri.25519 Ds[30] = 0.03 # 30 spleen : Taimouri et al. Doi: 10.1118/1.4915495 + Ds[34] = 0.0289 # 34 spinal cord :doi: 10.3389/fonc.2022.961473 + Ds[35] = 0.05 # 35 Bone marrow : Ds[36] = 0.1 # 36 artery Ds[37] = 0.1 # 37 vein Ds[40] = 0.029 # 40 asc lower intestine : Hai-Jing et al. doi: 10.1097/RCT.0000000000000926 @@ -175,7 +187,7 @@ def contrast_curve_calc(): return D, f, Ds -def XCAT_to_MR_DCE(XCAT, TR, TE, bvalue, D, f, Ds, b0=3, ivim_cont = True): +def XCAT_to_MR_DCE(XCAT, TR, TE, bvalue, D, f, Ds, b0=3, ivim_cont = True, T1T2=True): ########################################################################################### # This script converts XCAT tissue values to MR contrast based on the SSFP signal equation. # Christopher W. Roy 2018-12-04 # fetal.xcmr@gmail.com @@ -285,7 +297,7 @@ def XCAT_to_MR_DCE(XCAT, TR, TE, bvalue, D, f, Ds, b0=3, ivim_cont = True): Tissue[19] = [1045.5, 37.3, 1201, 44] Tissue[20] = [981.5, 36, 1232.9, 37.20] #Tissue[20] = [981.5, 36, 1232.9, 37.20] - Tissue[21] = [0, 0, 0, 0] + Tissue[21] = [2500, 1250, 4000, 2000] Tissue[22] = [584, 46, 725, 43] Tissue[23] = [828, 71, 1168, 66] Tissue[24] = [1412, 85, 1545, 81] @@ -351,7 +363,6 @@ def XCAT_to_MR_DCE(XCAT, TR, TE, bvalue, D, f, Ds, b0=3, ivim_cont = True): else: T1 = Tissue[iTissue, 2] T2 = Tissue[iTissue, 3] - if ivim_cont and not np.isnan([D[iTissue], f[iTissue], Ds[iTissue]]).any(): # note we are assuming blood fraction has the same T1 as tissue fraction here for simplicity. Can be changed in future. Dtemp=D[iTissue] @@ -362,8 +373,11 @@ def XCAT_to_MR_DCE(XCAT, TR, TE, bvalue, D, f, Ds, b0=3, ivim_cont = True): ftemp=np.random.rand(1)*0.5 Dstemp=5e-3+np.random.rand(1)*1e-1 S0 = ivim(bvalue,Dtemp,ftemp,Dstemp) - if T1 > 0 or T2 > 0: - MR = MR + np.tile(np.expand_dims(XCAT == iTissue,3),len(S0)) * S0 * (1 - 2 * np.exp(-(TR - TE / 2) / T1) + np.exp(-TR / T1)) * np.exp(-TE / T2) + if T1T2: + if T1 > 0 or T2 > 0: + MR = MR + np.tile(np.expand_dims(XCAT == iTissue,3),len(S0)) * S0 * (1 - 2 * np.exp(-(TR - TE / 2) / T1) + np.exp(-TR / T1)) * np.exp(-TE / T2) + else: + MR = MR + np.tile(np.expand_dims(XCAT == iTissue,3),len(S0)) * S0 Dim = Dim + (XCAT == iTissue) * Dtemp fim = fim + (XCAT == iTissue) * ftemp Dpim = Dpim + (XCAT == iTissue) * Dstemp @@ -403,6 +417,7 @@ def parse_bvalues_file(file_path): parser.add_argument("-n", "--noise", type=float, default=0.0005, help="Noise") parser.add_argument("-m", "--motion", action="store_true", help="Motion flag") parser.add_argument("-i", "--interleaved", action="store_true", help="Interleaved flag") + parser.add_argument("-u", "--T1T2", action="store_true", help="weight signal with T1T2") # note, set this to zero when generating test data for unit testing! args = parser.parse_args() if args.bvalues_file and args.bvalue: @@ -420,14 +435,15 @@ def parse_bvalues_file(file_path): noise = args.noise motion = args.motion interleaved = args.interleaved + T1T2 = args.T1T2 download_data() for key, bvalue in bvalues.items(): bvalue = np.array(bvalue) - sig, XCAT, Dim, fim, Dpim, legend = phantom(bvalue, noise, motion=motion, interleaved=interleaved) + sig, XCAT, Dim, fim, Dpim, legend = phantom(bvalue, noise, motion=motion, interleaved=interleaved,T1T2=T1T2) # sig = np.flip(sig,axis=0) # sig = np.flip(sig,axis=1) res=np.eye(4) - res[2]=2 + res[2,2]=2 voxel_selector_fraction = 0.5 D, f, Ds = contrast_curve_calc() diff --git a/requirements.txt b/requirements.txt index d32527f..8964af8 100644 --- a/requirements.txt +++ b/requirements.txt @@ -13,3 +13,4 @@ tqdm pandas sphinx sphinx_rtd_theme +pytest-json-report diff --git a/src/wrappers/OsipiBase.py b/src/wrappers/OsipiBase.py index c6a2bcb..d889b7d 100644 --- a/src/wrappers/OsipiBase.py +++ b/src/wrappers/OsipiBase.py @@ -3,6 +3,7 @@ from scipy.stats import norm import pathlib import sys +from tqdm import tqdm class OsipiBase: """The base class for OSIPI IVIM fitting""" @@ -47,7 +48,7 @@ def initialize(**kwargs): pass #def osipi_fit(self, data=None, bvalues=None, thresholds=None, bounds=None, initial_guess=None, **kwargs): - def osipi_fit(self, data, bvalues, **kwargs): + def osipi_fit(self, data, bvalues=None, **kwargs): """Fits the data with the bvalues Returns [S0, f, Dstar, D] """ @@ -68,7 +69,6 @@ def osipi_fit(self, data, bvalues, **kwargs): #kwargs["bvalues"] = use_bvalues #args = [data, use_bvalues, use_thresholds] - args = [data, use_bvalues] #if self.required_bounds or self.required_bounds_optional: #args.append(use_bounds) #if self.required_initial_guess or self.required_initial_guess_optional: @@ -83,7 +83,13 @@ def osipi_fit(self, data, bvalues, **kwargs): #args = [data, use_bvalues, use_initial_guess, use_bounds, use_thresholds] #args = [arg for arg in args if arg is not None] - results = self.ivim_fit(*args, **kwargs) + + # Assuming the last dimension of the data is the signal values of each b-value + results = np.empty(list(data.shape[:-1])+[3]) # Create an array with the voxel dimensions + the ones required for the fit + for ijk in tqdm(np.ndindex(data.shape[:-1]), total=np.prod(data.shape[:-1])): + args = [data[ijk], use_bvalues] + fit = list(self.ivim_fit(*args, **kwargs)) + results[ijk] = fit #self.parameter_estimates = self.ivim_fit(data, bvalues) return results diff --git a/tests/IVIMmodels/unit_tests/algorithms.json b/tests/IVIMmodels/unit_tests/algorithms.json index a39df9f..09e2062 100644 --- a/tests/IVIMmodels/unit_tests/algorithms.json +++ b/tests/IVIMmodels/unit_tests/algorithms.json @@ -100,7 +100,7 @@ }, "ETP_SRI_LinearFitting": { "xfail_names": { - "Vein": true + "Blood RV": true }, "options": { "thresholds": [500] diff --git a/tests/IVIMmodels/unit_tests/compare.r b/tests/IVIMmodels/unit_tests/compare.r index 832a2ef..bedb8a6 100644 --- a/tests/IVIMmodels/unit_tests/compare.r +++ b/tests/IVIMmodels/unit_tests/compare.r @@ -3,6 +3,12 @@ #Run like this: #Rscript --vanilla tests/IVIMmodels/unit_tests/compare.r test_output.csv test_reference.csv reference_output.csv test_results.csv +# If this script fails: +# 1. Save the "Comparison" file from the run on Github, OR run this file directly +# 2. Find the file producted "test_reference.csv" on Github, or whatever the "reference_file" variable was called +# 3. This replaces "tests/IVIMmodels/unit_tests/reference_output.csv" in the repository +# 4. For the algorithm "IAR_LU_modified_mix", replace the "f_f_alpha, Dp_f_alpha, D_f_alpha, f_t_alpha, Dp_t_alpha, D_t_alpha" columns with "0.01,0.01,0.01,0.0,0.0,0.0" + args = commandArgs(trailingOnly=TRUE) # Define file paths test_file <- "test_output.csv" diff --git a/tests/IVIMmodels/unit_tests/generic.json b/tests/IVIMmodels/unit_tests/generic.json index 47fcb3e..223c417 100644 --- a/tests/IVIMmodels/unit_tests/generic.json +++ b/tests/IVIMmodels/unit_tests/generic.json @@ -1,28 +1,28 @@ { "Myocardium LV": { "noise": 0.0005, - "D": 0.0024, + "D": 0.0023999999999999994, "f": 0.14999999999999997, "Dp": 0.08, "data": [ - 0.37020853964957995, - 0.36495023994839576, - 0.36040161395777776, - 0.3482649413062642, - 0.3311252519245551, - 0.31128471484956144, - 0.29753771205592827, - 0.27895404495875237, - 0.2627838930390298, - 0.24600672258762385, - 0.21960592872343127, - 0.17325350570406992, - 0.13578433027277387, - 0.12026630133722724, - 0.08269998770527108, - 0.0583466003590057, - 0.04025758982493964, - 0.028838742483508213 + 1.0001231751746, + 0.9863831981799663, + 0.9736795410767166, + 0.9399687907072308, + 0.8967250611562163, + 0.8404681740089247, + 0.8050090669541026, + 0.7567153344368321, + 0.710120431006179, + 0.6680098450848827, + 0.5928443202089699, + 0.46635060352675767, + 0.3670703137207122, + 0.3255000885344592, + 0.2268720656823917, + 0.1591125315010815, + 0.1114196849818942, + 0.07638861567746785 ] }, "myocardium RV": { @@ -31,50 +31,50 @@ "f": 0.14999999999999997, "Dp": 0.07999999999999999, "data": [ - 0.36977273246921033, - 0.36537365912605413, - 0.3595159042305869, - 0.34752698949768374, - 0.33173079647378234, - 0.3110608405629893, - 0.29805095418985367, - 0.27952927870925937, - 0.2623759963395676, - 0.2465802608039568, - 0.2205672287951045, - 0.17374944003807846, - 0.13502827555889882, - 0.12066297243669499, - 0.0836121527856757, - 0.05884198664879518, - 0.041489689098644505, - 0.028319859045401394 + 1.000180079067396, + 0.986990380915803, + 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0.775228838690929, + 0.7148834135872844, + 0.6087557713962932, + 0.44550149716711357, + 0.32731583448632096, + 0.2813752896424043, + 0.20856329358816902, + 0.11439276497405955, + 0.08403520759953775, + 0.04561583404905009, + 0.03481048741490723, + 0.02561040144000529 ] }, "config": { diff --git a/tests/IVIMmodels/unit_tests/reference_output.csv b/tests/IVIMmodels/unit_tests/reference_output.csv index 1639d08..98d11ea 100644 --- a/tests/IVIMmodels/unit_tests/reference_output.csv +++ b/tests/IVIMmodels/unit_tests/reference_output.csv @@ -19,1303 +19,1738 @@ "18","ETP_SRI_LinearFitting","Blood RV",50,1,0.1,0.003,0.756172663182345,0.0344803011735524,0.00133133896069262,0.45,0.45,0.45,0.45,0.45,0.45,1.40927252238862,0.0748018161089435,0.00202899165966831,299,299,299 "19","ETP_SRI_LinearFitting","Blood RV",100,1,0.1,0.003,0.878086331591172,0.0323340591843625,0.00133133896069262,0.45,0.45,0.45,0.45,0.45,0.45,0.704636261194313,0.0712090333536302,0.00202899165966831,299,299,299 "20","ETP_SRI_LinearFitting","Blood RV",200,1,0.1,0.003,0.939043165795586,0.0276367938777587,0.00133133896069262,0.45,0.45,0.45,0.45,0.45,0.45,0.352318130597156,0.0537980905708716,0.00202899165966831,299,299,299 -"21","ETP_SRI_LinearFitting","desc lower intestine",10,0.69,0.029,0.00131,-1.78046847362474,0.016522289744801,0.0016441792429181,0.45,0.45,0.45,0.45,0.45,0.45,15.8239651221778,0.0700506422948962,0.00211653751766345,299,299,299 -"22","ETP_SRI_LinearFitting","desc lower intestine",30,0.69,0.029,0.00131,0.475373627248901,0.022456787601217,0.00136414593549871,0.45,0.45,0.45,0.45,0.45,0.45,1.76780563288553,0.0425455021045259,0.00106933510259241,299,299,299 -"23","ETP_SRI_LinearFitting","desc lower intestine",50,0.69,0.029,0.00131,0.670719339656506,0.0216164735545652,0.00128259234710564,0.45,0.45,0.45,0.45,0.45,0.45,0.164103675182257,0.0316288973094785,0.000565757923733331,299,299,299 -"24","ETP_SRI_LinearFitting","desc lower intestine",100,0.69,0.029,0.00131,0.689682968828103,0.018072945218478,0.00128589506813888,0.45,0.45,0.45,0.45,0.45,0.45,0.0657882130636677,0.012931847502416,0.000272558015550553,299,299,299 -"25","ETP_SRI_LinearFitting","desc lower intestine",200,0.69,0.029,0.00131,0.6916765650872,0.0183295045447003,0.001295710009054,0.45,0.45,0.45,0.45,0.45,0.45,0.0318472093243258,0.00994517539003595,0.000135584729312215,299,299,299 -"26","ETP_SRI_LinearFitting","esophagus",10,0.32,0.03,0.00167,-16.8351405050354,0.0068526571766845,0.00187372141326849,0.45,0.45,0.45,0.45,0.45,0.45,276.052061050262,0.026788450319505,0.00186996047282086,299,299,299 -"27","ETP_SRI_LinearFitting","esophagus",30,0.32,0.03,0.00167,0.266714751515287,0.0303808196938573,0.00164931975608782,0.45,0.45,0.45,0.45,0.45,0.45,0.406333159703618,0.119784575060654,0.000600457220228775,299,299,299 -"28","ETP_SRI_LinearFitting","esophagus",50,0.32,0.03,0.00167,0.313716356954611,0.0273642978256428,0.00164359893758489,0.45,0.45,0.45,0.45,0.45,0.45,0.182929019148033,0.0795334134326654,0.000343814080262369,299,299,299 -"29","ETP_SRI_LinearFitting","esophagus",100,0.32,0.03,0.00167,0.323715049568329,0.0260106093774843,0.0016523197077377,0.45,0.45,0.45,0.45,0.45,0.45,0.0854843084936869,0.0413692194238232,0.000169854145357372,299,299,299 -"30","ETP_SRI_LinearFitting","esophagus",200,0.32,0.03,0.00167,0.323458156778321,0.0213128802430461,0.00166007725647971,0.45,0.45,0.45,0.45,0.45,0.45,0.0422956236405241,0.0168367957308982,8.48403059042792e-05,299,299,299 -"31","ETP_SRI_LinearFitting","esophagus cont",10,0.32,0.03,0.00167,-16.8351405050354,0.0068526571766845,0.00187372141326849,0.45,0.45,0.45,0.45,0.45,0.45,276.052061050262,0.026788450319505,0.00186996047282086,299,299,299 -"32","ETP_SRI_LinearFitting","esophagus cont",30,0.32,0.03,0.00167,0.266714751515287,0.0303808196938573,0.00164931975608782,0.45,0.45,0.45,0.45,0.45,0.45,0.406333159703618,0.119784575060654,0.000600457220228775,299,299,299 -"33","ETP_SRI_LinearFitting","esophagus cont",50,0.32,0.03,0.00167,0.313716356954611,0.0273642978256428,0.00164359893758489,0.45,0.45,0.45,0.45,0.45,0.45,0.182929019148033,0.0795334134326654,0.000343814080262369,299,299,299 -"34","ETP_SRI_LinearFitting","esophagus cont",100,0.32,0.03,0.00167,0.323715049568329,0.0260106093774843,0.0016523197077377,0.45,0.45,0.45,0.45,0.45,0.45,0.0854843084936869,0.0413692194238232,0.000169854145357372,299,299,299 -"35","ETP_SRI_LinearFitting","esophagus cont",200,0.32,0.03,0.00167,0.323458156778321,0.0213128802430461,0.00166007725647971,0.45,0.45,0.45,0.45,0.45,0.45,0.0422956236405241,0.0168367957308982,8.48403059042792e-05,299,299,299 -"36","ETP_SRI_LinearFitting","Left kidney cortex",10,0.097,0.02,0.00212,-14.3955595873973,0.00391705267140109,0.00228537543024786,0.45,0.45,0.45,0.45,0.45,0.45,192.598089159977,0.00284489934212906,0.0020791994015325,299,299,299 -"37","ETP_SRI_LinearFitting","Left kidney cortex",30,0.097,0.02,0.00212,-0.0428754799840204,0.00671743673875138,0.0021177062108811,0.45,0.45,0.45,0.45,0.45,0.45,0.980652959116608,0.02764652541098,0.000717331168492116,299,299,299 -"38","ETP_SRI_LinearFitting","Left kidney cortex",50,0.097,0.02,0.00212,0.0810014404866088,0.0208609783877286,0.002094456809827,0.45,0.45,0.45,0.45,0.45,0.45,0.280902600026116,0.162555556129203,0.000392930293069512,299,299,299 -"39","ETP_SRI_LinearFitting","Left kidney cortex",100,0.097,0.02,0.00212,0.101777729251112,0.0319661776619169,0.00210017649895717,0.45,0.45,0.45,0.45,0.45,0.45,0.125657669024395,0.19129049639463,0.000192523164576264,299,299,299 -"40","ETP_SRI_LinearFitting","Left kidney cortex",200,0.097,0.02,0.00212,0.10224030226737,0.0255774322867593,0.00210841272923396,0.45,0.45,0.45,0.45,0.45,0.45,0.0617374115601895,0.0657171942836725,9.60266343305832e-05,299,299,299 -"41","ETP_SRI_LinearFitting","left kidney medulla",10,0.158,0.019,0.00209,-3.11895454601443,0.00382272586211331,0.00222555907500432,0.45,0.45,0.45,0.45,0.45,0.45,17.302089867667,0.00262100544691147,0.00201304721946398,299,299,299 -"42","ETP_SRI_LinearFitting","left kidney medulla",30,0.158,0.019,0.00209,-0.0132327759769504,0.0190118327804773,0.00209352407031152,0.45,0.45,0.45,0.45,0.45,0.45,1.29784271003527,0.133264707763682,0.000765120322817147,299,299,299 -"43","ETP_SRI_LinearFitting","left kidney medulla",50,0.158,0.019,0.00209,0.139949230099125,0.0435122782064182,0.00206463411889175,0.45,0.45,0.45,0.45,0.45,0.45,0.277961931640109,0.272277018535852,0.000411061545542364,299,299,299 -"44","ETP_SRI_LinearFitting","left kidney medulla",100,0.158,0.019,0.00209,0.162111331451922,0.0284192061666898,0.00206967525982813,0.45,0.45,0.45,0.45,0.45,0.45,0.12275266286204,0.141684150651081,0.000200942901817927,299,299,299 -"45","ETP_SRI_LinearFitting","left kidney medulla",200,0.158,0.019,0.00209,0.162940320456035,0.0186331366956058,0.00207804214183691,0.45,0.45,0.45,0.45,0.45,0.45,0.0601910458682016,0.0195734768168526,0.000100188914072193,299,299,299 -"46","ETP_SRI_LinearFitting","Liver",10,0.11,0.1,0.0015,-3.67105854933764,0.0103322924138449,0.00161495986282209,0.45,0.45,0.45,0.45,0.45,0.45,50.5725151160169,0.100845172822066,0.00140857424525187,299,299,299 -"47","ETP_SRI_LinearFitting","Liver",30,0.11,0.1,0.0015,0.0969318407879205,0.0145642929149208,0.00147246699637093,0.45,0.45,0.45,0.45,0.45,0.45,0.269776485804268,0.0971893509566391,0.000377588902171262,299,299,299 -"48","ETP_SRI_LinearFitting","Liver",50,0.11,0.1,0.0015,0.112644420990274,0.0988492551721873,0.0014787002760584,0.45,0.45,0.45,0.45,0.45,0.45,0.150827871968332,0.380693459960368,0.000223664227770201,299,299,299 -"49","ETP_SRI_LinearFitting","Liver",100,0.11,0.1,0.0015,0.114915102854363,0.0889095920483081,0.00148764168516119,0.45,0.45,0.45,0.45,0.45,0.45,0.0738473058377525,0.328370788509957,0.000111502995637712,299,299,299 -"50","ETP_SRI_LinearFitting","Liver",200,0.11,0.1,0.0015,0.113341186733021,0.0725340532416588,0.00149339727236951,0.45,0.45,0.45,0.45,0.45,0.45,0.0368404978098108,0.138234643262059,5.57744401860227e-05,299,299,299 -"51","ETP_SRI_LinearFitting","Myocardium LV",10,0.15,0.08,0.0024,-5.4100782940561,0.0094184225249475,0.0023822293893847,0.45,0.45,0.45,0.45,0.45,0.45,43.9350216703497,0.0978522441529872,0.00222629966744103,299,299,299 -"52","ETP_SRI_LinearFitting","Myocardium LV",30,0.15,0.08,0.0024,-0.593493538453782,0.0307395600063619,0.00247697353799738,0.45,0.45,0.45,0.45,0.45,0.45,4.68407782665976,0.268537532439499,0.0011501035746123,299,299,299 -"53","ETP_SRI_LinearFitting","Myocardium LV",50,0.15,0.08,0.0024,0.0920184554793497,0.0313742160547733,0.00238414363888919,0.45,0.45,0.45,0.45,0.45,0.45,0.464498483486438,0.152892132747701,0.000563768089555283,299,299,299 -"54","ETP_SRI_LinearFitting","Myocardium LV",100,0.15,0.08,0.0024,0.150567854592103,0.0514970030699646,0.00237618575855411,0.45,0.45,0.45,0.45,0.45,0.45,0.165469382787638,0.127123615513322,0.0002665350105812,299,299,299 -"55","ETP_SRI_LinearFitting","Myocardium LV",200,0.15,0.08,0.0024,0.155639734570644,0.0933876875035398,0.0023845891999107,0.45,0.45,0.45,0.45,0.45,0.45,0.0791306589370929,0.288726461627615,0.000132239370578106,299,299,299 -"56","ETP_SRI_LinearFitting","myocardium ra",10,0.07,0.07,0.0015,-1.65951665423363,0.0177238771115808,0.00160957265059348,0.45,0.45,0.45,0.45,0.45,0.45,13.1554017697515,0.183131672721427,0.00136088593186554,299,299,299 -"57","ETP_SRI_LinearFitting","myocardium ra",30,0.07,0.07,0.0015,0.0589564569081104,0.0296093937203642,0.00147279822346654,0.45,0.45,0.45,0.45,0.45,0.45,0.266937871380083,0.242638673913433,0.000360646166742376,299,299,299 -"58","ETP_SRI_LinearFitting","myocardium ra",50,0.07,0.07,0.0015,0.0732759014900858,0.0328371698735262,0.00147933187029512,0.45,0.45,0.45,0.45,0.45,0.45,0.1504150174967,0.216423076996624,0.000213945675661325,299,299,299 -"59","ETP_SRI_LinearFitting","myocardium ra",100,0.07,0.07,0.0015,0.075067261558205,0.0677774461043471,0.00148810347075861,0.45,0.45,0.45,0.45,0.45,0.45,0.0738177865239001,0.269492649198698,0.000106705818256413,299,299,299 -"60","ETP_SRI_LinearFitting","myocardium ra",200,0.07,0.07,0.0015,0.0733792311780607,0.0623676153801111,0.00149366381082312,0.45,0.45,0.45,0.45,0.45,0.45,0.0368411946796926,0.237445081999106,5.33779360572001e-05,299,299,299 -"61","ETP_SRI_LinearFitting","myocardium RV",10,0.15,0.08,0.0024,-5.4100782940561,0.0094184225249475,0.0023822293893847,0.45,0.45,0.45,0.45,0.45,0.45,43.9350216703497,0.0978522441529872,0.00222629966744103,299,299,299 -"62","ETP_SRI_LinearFitting","myocardium RV",30,0.15,0.08,0.0024,-0.593493538453782,0.0307395600063619,0.00247697353799738,0.45,0.45,0.45,0.45,0.45,0.45,4.68407782665976,0.268537532439499,0.0011501035746123,299,299,299 -"63","ETP_SRI_LinearFitting","myocardium RV",50,0.15,0.08,0.0024,0.0920184554793497,0.0313742160547733,0.00238414363888919,0.45,0.45,0.45,0.45,0.45,0.45,0.464498483486438,0.152892132747701,0.000563768089555283,299,299,299 -"64","ETP_SRI_LinearFitting","myocardium RV",100,0.15,0.08,0.0024,0.150567854592103,0.0514970030699646,0.00237618575855411,0.45,0.45,0.45,0.45,0.45,0.45,0.165469382787638,0.127123615513322,0.0002665350105812,299,299,299 -"65","ETP_SRI_LinearFitting","myocardium RV",200,0.15,0.08,0.0024,0.155639734570644,0.0933876875035398,0.0023845891999107,0.45,0.45,0.45,0.45,0.45,0.45,0.0791306589370929,0.288726461627615,0.000132239370578106,299,299,299 -"66","ETP_SRI_LinearFitting","pancreas",10,0.15,0.01,0.00129999999999999,-0.650527215028878,0.00373368564161748,0.00138866565214997,0.45,0.45,0.45,0.45,0.45,0.45,4.93667394171624,0.00722474221217601,0.00119248691671331,299,299,299 -"67","ETP_SRI_LinearFitting","pancreas",30,0.15,0.01,0.00129999999999999,0.141181390443557,0.0571022180430843,0.00127631910355573,0.45,0.45,0.45,0.45,0.45,0.45,0.223328699407368,0.30235917617171,0.000329779178430446,299,299,299 -"68","ETP_SRI_LinearFitting","pancreas",50,0.15,0.01,0.00129999999999999,0.1510036083282,0.0152944083015561,0.00128385681159516,0.45,0.45,0.45,0.45,0.45,0.45,0.127982122939212,0.126325868230149,0.000196269231755713,299,299,299 -"69","ETP_SRI_LinearFitting","pancreas",100,0.15,0.01,0.00129999999999999,0.151847983395745,0.0131626451974964,0.00129232113375324,0.45,0.45,0.45,0.45,0.45,0.45,0.0631293755739931,0.0377927362687652,9.79894642257458e-05,299,299,299 -"70","ETP_SRI_LinearFitting","pancreas",200,0.15,0.01,0.00129999999999999,0.150332194355078,0.0109445926132955,0.00129741584499017,0.45,0.45,0.45,0.45,0.45,0.45,0.0315327839698718,0.00587272237819955,4.90247818549865e-05,299,299,299 -"71","ETP_SRI_LinearFitting","pericardium",10,0.07,0.00999999999999999,0.003,-1.71069455396435,0.00413806480279475,0.00222002363044559,0.45,0.45,0.45,0.45,0.45,0.45,11.3461458015308,0.00796330900457343,0.00214350424805972,299,299,299 -"72","ETP_SRI_LinearFitting","pericardium",30,0.07,0.00999999999999999,0.003,-2.91527744837181,0.00507173294709184,0.00321986504376209,0.45,0.45,0.45,0.45,0.45,0.45,18.8162955606326,0.0031589206110522,0.00176542899681745,299,299,299 -"73","ETP_SRI_LinearFitting","pericardium",50,0.07,0.00999999999999999,0.003,-0.725107480466489,0.0146143161821091,0.00308436166182826,0.45,0.45,0.45,0.45,0.45,0.45,5.02892397652847,0.139670661799305,0.0011228429935268,299,299,299 -"74","ETP_SRI_LinearFitting","pericardium",100,0.07,0.00999999999999999,0.003,0.0395072922651046,0.00739762781595787,0.00298132773142143,0.45,0.45,0.45,0.45,0.45,0.45,0.337660314112399,0.026548244280092,0.000442399989892903,299,299,299 -"75","ETP_SRI_LinearFitting","pericardium",200,0.07,0.00999999999999999,0.003,0.0717940918714239,0.0314985196375023,0.00298144117966044,0.45,0.45,0.45,0.45,0.45,0.45,0.139726244311711,0.210455939290863,0.000213771886702303,299,299,299 -"76","ETP_SRI_LinearFitting","right kidney medulla",10,0.158,0.019,0.00209,-3.11895454601443,0.00382272586211331,0.00222555907500432,0.45,0.45,0.45,0.45,0.45,0.45,17.302089867667,0.00262100544691147,0.00201304721946398,299,299,299 -"77","ETP_SRI_LinearFitting","right kidney medulla",30,0.158,0.019,0.00209,-0.0132327759769504,0.0190118327804773,0.00209352407031152,0.45,0.45,0.45,0.45,0.45,0.45,1.29784271003527,0.133264707763682,0.000765120322817147,299,299,299 -"78","ETP_SRI_LinearFitting","right kidney medulla",50,0.158,0.019,0.00209,0.139949230099125,0.0435122782064182,0.00206463411889175,0.45,0.45,0.45,0.45,0.45,0.45,0.277961931640109,0.272277018535852,0.000411061545542364,299,299,299 -"79","ETP_SRI_LinearFitting","right kidney medulla",100,0.158,0.019,0.00209,0.162111331451922,0.0284192061666898,0.00206967525982813,0.45,0.45,0.45,0.45,0.45,0.45,0.12275266286204,0.141684150651081,0.000200942901817927,299,299,299 -"80","ETP_SRI_LinearFitting","right kidney medulla",200,0.158,0.019,0.00209,0.162940320456035,0.0186331366956058,0.00207804214183691,0.45,0.45,0.45,0.45,0.45,0.45,0.0601910458682016,0.0195734768168526,0.000100188914072193,299,299,299 -"81","ETP_SRI_LinearFitting","Right kydney cortex",10,0.097,0.02,0.00212,-14.3955595873973,0.00391705267140109,0.00228537543024786,0.45,0.45,0.45,0.45,0.45,0.45,192.598089159977,0.00284489934212906,0.0020791994015325,299,299,299 -"82","ETP_SRI_LinearFitting","Right kydney cortex",30,0.097,0.02,0.00212,-0.0428754799840204,0.00671743673875138,0.0021177062108811,0.45,0.45,0.45,0.45,0.45,0.45,0.980652959116608,0.02764652541098,0.000717331168492116,299,299,299 -"83","ETP_SRI_LinearFitting","Right kydney cortex",50,0.097,0.02,0.00212,0.0810014404866088,0.0208609783877286,0.002094456809827,0.45,0.45,0.45,0.45,0.45,0.45,0.280902600026116,0.162555556129203,0.000392930293069512,299,299,299 -"84","ETP_SRI_LinearFitting","Right kydney cortex",100,0.097,0.02,0.00212,0.101777729251112,0.0319661776619169,0.00210017649895717,0.45,0.45,0.45,0.45,0.45,0.45,0.125657669024395,0.19129049639463,0.000192523164576264,299,299,299 -"85","ETP_SRI_LinearFitting","Right kydney cortex",200,0.097,0.02,0.00212,0.10224030226737,0.0255774322867593,0.00210841272923396,0.45,0.45,0.45,0.45,0.45,0.45,0.0617374115601895,0.0657171942836725,9.60266343305832e-05,299,299,299 -"86","ETP_SRI_LinearFitting","small intestine",10,0.69,0.029,0.00131,-1.78046847362488,0.016522289744801,0.0016441792429181,0.45,0.45,0.45,0.45,0.45,0.45,15.8239651221794,0.0700506422948965,0.00211653751766345,299,299,299 -"87","ETP_SRI_LinearFitting","small intestine",30,0.69,0.029,0.00131,0.475373627248899,0.022456787601217,0.00136414593549871,0.45,0.45,0.45,0.45,0.45,0.45,1.76780563288555,0.0425455021045267,0.00106933510259241,299,299,299 -"88","ETP_SRI_LinearFitting","small intestine",50,0.69,0.029,0.00131,0.670719339656506,0.0216164735545652,0.00128259234710564,0.45,0.45,0.45,0.45,0.45,0.45,0.164103675182257,0.0316288973094786,0.000565757923733332,299,299,299 -"89","ETP_SRI_LinearFitting","small intestine",100,0.69,0.029,0.00131,0.689682968828103,0.0180729452184781,0.00128589506813888,0.45,0.45,0.45,0.45,0.45,0.45,0.0657882130636678,0.0129318475024162,0.000272558015550553,299,299,299 -"90","ETP_SRI_LinearFitting","small intestine",200,0.69,0.029,0.00131,0.6916765650872,0.0183295045447004,0.001295710009054,0.45,0.45,0.45,0.45,0.45,0.45,0.0318472093243258,0.00994517539003606,0.000135584729312215,299,299,299 -"91","ETP_SRI_LinearFitting","spleen",10,0.2,0.03,0.00129999999999999,-3.3740132522231,0.00553618298512768,0.00143433710820903,0.45,0.45,0.45,0.45,0.45,0.45,32.2937373001832,0.0199199575648861,0.00143622539626405,299,299,299 -"92","ETP_SRI_LinearFitting","spleen",30,0.2,0.03,0.00129999999999999,0.191616803068673,0.0524339373886503,0.00127246317690968,0.45,0.45,0.45,0.45,0.45,0.45,0.225231222917192,0.241188205504064,0.000351229948037188,299,299,299 -"93","ETP_SRI_LinearFitting","spleen",50,0.2,0.03,0.00129999999999999,0.202791755119256,0.039825290894353,0.0012798791928558,0.45,0.45,0.45,0.45,0.45,0.45,0.128062905075638,0.160615566355117,0.000208715871266267,299,299,299 -"94","ETP_SRI_LinearFitting","spleen",100,0.2,0.03,0.00129999999999999,0.204134185690545,0.0296901197338264,0.00128864343929708,0.45,0.45,0.45,0.45,0.45,0.45,0.063013883604555,0.059005431253839,0.000104155540475188,299,299,299 -"95","ETP_SRI_LinearFitting","spleen",200,0.2,0.03,0.00129999999999999,0.202743964725328,0.0217979487010552,0.0012939998603653,0.45,0.45,0.45,0.45,0.45,0.45,0.0314614070504959,0.0204643988878911,5.21071683813949e-05,299,299,299 -"96","ETP_SRI_LinearFitting","st wall",10,0.3,0.012,0.0015,-1.64610469307265,0.00469872580015407,0.0016722712729154,0.45,0.45,0.45,0.45,0.45,0.45,15.8055997491259,0.0116896306708749,0.00158171276921857,299,299,299 -"97","ETP_SRI_LinearFitting","st wall",30,0.3,0.012,0.0015,0.270890694864435,0.0145946544452255,0.00147533983907024,0.45,0.45,0.45,0.45,0.45,0.45,0.296176769896366,0.0644575311240057,0.000487785371238241,299,299,299 -"98","ETP_SRI_LinearFitting","st wall",50,0.3,0.012,0.0015,0.29676404903463,0.0206118664406517,0.00147812190285612,0.45,0.45,0.45,0.45,0.45,0.45,0.154483980727086,0.138058215589313,0.000285387872646462,299,299,299 -"99","ETP_SRI_LinearFitting","st wall",100,0.3,0.012,0.0015,0.302162253072998,0.0127072898874613,0.00148765340763967,0.45,0.45,0.45,0.45,0.45,0.45,0.0742535435648724,0.00999336152068087,0.000141764252457752,299,299,299 -"100","ETP_SRI_LinearFitting","st wall",200,0.3,0.012,0.0015,0.301306786736074,0.0115839512910052,0.00149453131653136,0.45,0.45,0.45,0.45,0.45,0.45,0.0369195438104536,0.0039251958924262,7.08740730226027e-05,299,299,299 -"101","ETP_SRI_LinearFitting","trans lower intestine",10,0.69,0.029,0.00130999999999999,-1.78046847362465,0.0165222897448011,0.0016441792429181,0.45,0.45,0.45,0.45,0.45,0.45,15.8239651221768,0.0700506422948976,0.00211653751766344,299,299,299 -"102","ETP_SRI_LinearFitting","trans lower intestine",30,0.69,0.029,0.00130999999999999,0.475373627248902,0.0224567876012169,0.00136414593549871,0.45,0.45,0.45,0.45,0.45,0.45,1.7678056328855,0.042545502104526,0.00106933510259241,299,299,299 -"103","ETP_SRI_LinearFitting","trans lower intestine",50,0.69,0.029,0.00130999999999999,0.670719339656506,0.0216164735545652,0.00128259234710564,0.45,0.45,0.45,0.45,0.45,0.45,0.164103675182257,0.0316288973094783,0.000565757923733331,299,299,299 -"104","ETP_SRI_LinearFitting","trans lower intestine",100,0.69,0.029,0.00130999999999999,0.689682968828103,0.018072945218478,0.00128589506813888,0.45,0.45,0.45,0.45,0.45,0.45,0.0657882130636677,0.0129318475024159,0.000272558015550553,299,299,299 -"105","ETP_SRI_LinearFitting","trans lower intestine",200,0.69,0.029,0.00130999999999999,0.6916765650872,0.0183295045447003,0.001295710009054,0.45,0.45,0.45,0.45,0.45,0.45,0.0318472093243257,0.00994517539003592,0.000135584729312215,299,299,299 -"106","ETP_SRI_LinearFitting","Vein",10,1,0.1,0.00299999999999999,-0.219136684088274,0.0537322605747583,0.00133133896069262,0.45,0.45,0.45,0.45,0.45,0.45,7.04636261194312,0.205282331929603,0.00202899165966831,299,299,299 -"107","ETP_SRI_LinearFitting","Vein",30,1,0.1,0.00299999999999999,0.593621105303909,0.0382494989565613,0.00133133896069262,0.45,0.45,0.45,0.45,0.45,0.45,2.34878753731438,0.0820324479335514,0.00202899165966831,299,299,299 -"108","ETP_SRI_LinearFitting","Vein",50,1,0.1,0.00299999999999999,0.756172663182345,0.0344803011735524,0.00133133896069262,0.45,0.45,0.45,0.45,0.45,0.45,1.40927252238862,0.0748018161089435,0.00202899165966831,299,299,299 -"109","ETP_SRI_LinearFitting","Vein",100,1,0.1,0.00299999999999999,0.878086331591172,0.0323340591843625,0.00133133896069262,0.45,0.45,0.45,0.45,0.45,0.45,0.704636261194313,0.0712090333536302,0.00202899165966831,299,299,299 -"110","ETP_SRI_LinearFitting","Vein",200,1,0.1,0.00299999999999999,0.939043165795586,0.0276367938777587,0.00133133896069262,0.45,0.45,0.45,0.45,0.45,0.45,0.352318130597156,0.0537980905708716,0.00202899165966831,299,299,299 -"111","IAR_LU_biexp","Artery",10,1,0.1,0.00299999999999999,0.926470695284967,0.0982613762248633,0.000127034346810215,0.45,0.45,0.45,0.45,0.45,0.45,0.0215210674809254,0.00496152717204845,0.000371973810313032,299,299,299 -"112","IAR_LU_biexp","Artery",30,1,0.1,0.00299999999999999,0.977495351982512,0.0994484053254073,8.67768300711388e-05,0.45,0.45,0.45,0.45,0.45,0.45,0.00692461753206635,0.00165005168525004,0.000295520157175566,299,299,299 -"113","IAR_LU_biexp","Artery",50,1,0.1,0.00299999999999999,0.986847787845781,0.0996578523975426,7.50360360977392e-05,0.45,0.45,0.45,0.45,0.45,0.45,0.00411089364580979,0.00101750527909541,0.000278518466654476,299,299,299 -"114","IAR_LU_biexp","Artery",100,1,0.1,0.00299999999999999,0.993665235854952,0.0998164880988272,5.78826115470832e-05,0.45,0.45,0.45,0.45,0.45,0.45,0.00200378851223167,0.000529926879844168,0.000263826201637921,299,299,299 -"115","IAR_LU_biexp","Artery",200,1,0.1,0.00299999999999999,0.996952138241046,0.0999023540964743,4.82142681221824e-05,0.45,0.45,0.45,0.45,0.45,0.45,0.000991618406539713,0.000274814551382663,0.000256559604950207,299,299,299 -"116","IAR_LU_biexp","asc lower intestine",10,0.69,0.029,0.00131,0.697212667896394,0.0325023737565882,0.00113782850824108,0.45,0.45,0.45,0.45,0.45,0.45,0.0969149603369071,0.0150873113090282,0.00075651551093642,299,299,299 -"117","IAR_LU_biexp","asc lower intestine",30,0.69,0.029,0.00131,0.690042687609969,0.0293408736715589,0.00129733848997831,0.45,0.45,0.45,0.45,0.45,0.45,0.0360947595237916,0.00363625975881636,0.000283880194097926,299,299,299 -"118","IAR_LU_biexp","asc lower intestine",50,0.69,0.029,0.00131,0.690035517241786,0.0291115984791372,0.00130238538452424,0.45,0.45,0.45,0.45,0.45,0.45,0.0214722239467864,0.00211805849668056,0.000167872936460034,299,299,299 -"119","IAR_LU_biexp","asc lower intestine",100,0.69,0.029,0.00131,0.69001659059687,0.0290241717802667,0.00130617192275866,0.45,0.45,0.45,0.45,0.45,0.45,0.0106870876911403,0.00104662367079566,8.33919719679096e-05,299,299,299 -"120","IAR_LU_biexp","asc lower intestine",200,0.69,0.029,0.00131,0.690006715696218,0.0290045215204471,0.001308087187188,0.45,0.45,0.45,0.45,0.45,0.45,0.00533599564952396,0.000521521540722386,4.16245932209183e-05,299,299,299 -"121","IAR_LU_biexp","Blood RA",10,1,0.1,0.00299999999999999,0.926470695284967,0.0982613762248633,0.000127034346810215,0.45,0.45,0.45,0.45,0.45,0.45,0.0215210674809254,0.00496152717204845,0.000371973810313032,299,299,299 -"122","IAR_LU_biexp","Blood RA",30,1,0.1,0.00299999999999999,0.977495351982512,0.0994484053254073,8.67768300711388e-05,0.45,0.45,0.45,0.45,0.45,0.45,0.00692461753206635,0.00165005168525004,0.000295520157175566,299,299,299 -"123","IAR_LU_biexp","Blood RA",50,1,0.1,0.00299999999999999,0.986847787845781,0.0996578523975426,7.50360360977392e-05,0.45,0.45,0.45,0.45,0.45,0.45,0.00411089364580979,0.00101750527909541,0.000278518466654476,299,299,299 -"124","IAR_LU_biexp","Blood RA",100,1,0.1,0.00299999999999999,0.993665235854952,0.0998164880988272,5.78826115470832e-05,0.45,0.45,0.45,0.45,0.45,0.45,0.00200378851223167,0.000529926879844168,0.000263826201637921,299,299,299 -"125","IAR_LU_biexp","Blood RA",200,1,0.1,0.00299999999999999,0.996952138241046,0.0999023540964743,4.82142681221824e-05,0.45,0.45,0.45,0.45,0.45,0.45,0.000991618406539713,0.000274814551382663,0.000256559604950207,299,299,299 -"126","IAR_LU_biexp","Blood RV",10,1,0.1,0.003,0.92647069528709,0.0982613762257002,0.000127034347081598,0.45,0.45,0.45,0.45,0.45,0.45,0.0215210674974187,0.0049615271733654,0.000371973812375611,299,299,299 -"127","IAR_LU_biexp","Blood RV",30,1,0.1,0.003,0.977495351986575,0.0994484053261729,8.6776830208335e-05,0.45,0.45,0.45,0.45,0.45,0.45,0.00692461752875168,0.00165005168400417,0.00029552015946517,299,299,299 -"128","IAR_LU_biexp","Blood RV",50,1,0.1,0.003,0.986847787847024,0.0996578523977876,7.50360360821851e-05,0.45,0.45,0.45,0.45,0.45,0.45,0.00411089364523165,0.00101750527880633,0.000278518469327793,299,299,299 -"129","IAR_LU_biexp","Blood RV",100,1,0.1,0.003,0.993665235855317,0.0998164880990098,5.78826114675235e-05,0.45,0.45,0.45,0.45,0.45,0.45,0.0020037885125151,0.000529926879857713,0.000263826199490928,299,299,299 -"130","IAR_LU_biexp","Blood RV",200,1,0.1,0.003,0.996952138241195,0.09990235409644,4.82142679154876e-05,0.45,0.45,0.45,0.45,0.45,0.45,0.000991618405480444,0.000274814551227168,0.000256559602777668,299,299,299 -"131","IAR_LU_biexp","desc lower intestine",10,0.69,0.029,0.00131,0.697212667300357,0.0325023737719409,0.00113782851118961,0.45,0.45,0.45,0.45,0.45,0.45,0.0969149608678149,0.0150873112968303,0.00075651551240572,299,299,299 -"132","IAR_LU_biexp","desc lower intestine",30,0.69,0.029,0.00131,0.690042687627665,0.0293408736706232,0.00129733848988675,0.45,0.45,0.45,0.45,0.45,0.45,0.0360947594628279,0.00363625975619238,0.00028388019375974,299,299,299 -"133","IAR_LU_biexp","desc lower intestine",50,0.69,0.029,0.00131,0.690035515572817,0.0291115986604859,0.00130238539842299,0.45,0.45,0.45,0.45,0.45,0.45,0.0214722257649461,0.002118058553172,0.000167872962249228,299,299,299 -"134","IAR_LU_biexp","desc lower intestine",100,0.69,0.029,0.00131,0.690016590562107,0.0290241717827196,0.00130617192299434,0.45,0.45,0.45,0.45,0.45,0.45,0.0106870876869911,0.00104662367148246,8.33919720257604e-05,299,299,299 -"135","IAR_LU_biexp","desc lower intestine",200,0.69,0.029,0.00131,0.690006715693301,0.0290045215206338,0.00130808718720708,0.45,0.45,0.45,0.45,0.45,0.45,0.00533599565206864,0.000521521540571046,4.1624593218652e-05,299,299,299 -"136","IAR_LU_biexp","esophagus",10,0.32,0.03,0.00167,0.36768348021756,0.0387739018583002,0.00149968787511753,0.45,0.45,0.45,0.45,0.45,0.45,0.13792439216537,0.0287006753797355,0.000539607925257411,299,299,299 -"137","IAR_LU_biexp","esophagus",30,0.32,0.03,0.00167,0.324535978323346,0.0316992915590362,0.00165203935349943,0.45,0.45,0.45,0.45,0.45,0.45,0.0414146517163268,0.0102184984647144,0.000163809030863196,299,299,299 -"138","IAR_LU_biexp","esophagus",50,0.32,0.03,0.00167,0.321543302411402,0.0304981189913308,0.00166185943635118,0.45,0.45,0.45,0.45,0.45,0.45,0.0241291460353726,0.00522280147435882,9.57228596340847e-05,299,299,299 -"139","IAR_LU_biexp","esophagus",100,0.32,0.03,0.00167,0.320352103903266,0.0301044944259164,0.00166689046126068,0.45,0.45,0.45,0.45,0.45,0.45,0.0118434376083422,0.0024752317146445,4.71049548884526e-05,299,299,299 -"140","IAR_LU_biexp","esophagus",200,0.32,0.03,0.00167,0.320074329926359,0.030021150648093,0.00166868318124731,0.45,0.45,0.45,0.45,0.45,0.45,0.00588728307385917,0.00122081473783562,2.3433401134466e-05,299,299,299 -"141","IAR_LU_biexp","esophagus cont",10,0.32,0.03,0.00167,0.36768348021756,0.0387739018583002,0.00149968787511753,0.45,0.45,0.45,0.45,0.45,0.45,0.13792439216537,0.0287006753797355,0.000539607925257411,299,299,299 -"142","IAR_LU_biexp","esophagus cont",30,0.32,0.03,0.00167,0.324535978323346,0.0316992915590362,0.00165203935349943,0.45,0.45,0.45,0.45,0.45,0.45,0.0414146517163268,0.0102184984647144,0.000163809030863196,299,299,299 -"143","IAR_LU_biexp","esophagus cont",50,0.32,0.03,0.00167,0.321543302411402,0.0304981189913308,0.00166185943635118,0.45,0.45,0.45,0.45,0.45,0.45,0.0241291460353726,0.00522280147435882,9.57228596340847e-05,299,299,299 -"144","IAR_LU_biexp","esophagus cont",100,0.32,0.03,0.00167,0.320352103903266,0.0301044944259164,0.00166689046126068,0.45,0.45,0.45,0.45,0.45,0.45,0.0118434376083422,0.0024752317146445,4.71049548884526e-05,299,299,299 -"145","IAR_LU_biexp","esophagus cont",200,0.32,0.03,0.00167,0.320074329926359,0.030021150648093,0.00166868318124731,0.45,0.45,0.45,0.45,0.45,0.45,0.00588728307385917,0.00122081473783562,2.3433401134466e-05,299,299,299 -"146","IAR_LU_biexp","Left kidney cortex",10,0.097,0.02,0.00212,0.210970906830311,0.0310310657601555,0.0018229470669625,0.45,0.45,0.45,0.45,0.45,0.45,0.203989004924902,0.0344674603310571,0.000586836581946663,299,299,299 -"147","IAR_LU_biexp","Left kidney cortex",30,0.097,0.02,0.00212,0.15768396635406,0.026659907618088,0.00200188081254989,0.45,0.45,0.45,0.45,0.45,0.45,0.114151568500584,0.02634118752992,0.000253815865698958,299,299,299 -"148","IAR_LU_biexp","Left kidney cortex",50,0.097,0.02,0.00212,0.121533306097951,0.0268595655306235,0.00207299933900311,0.45,0.45,0.45,0.45,0.45,0.45,0.0702050063177978,0.0225952613910742,0.000153941426857934,299,299,299 -"149","IAR_LU_biexp","Left kidney cortex",100,0.097,0.02,0.00212,0.100982702473657,0.021817155940103,0.00211092183513097,0.45,0.45,0.45,0.45,0.45,0.45,0.0231884312921043,0.00884130304693349,6.24363655216314e-05,299,299,299 -"150","IAR_LU_biexp","Left kidney cortex",200,0.097,0.02,0.00212,0.0979413174196692,0.020324544085,0.00211720394022434,0.45,0.45,0.45,0.45,0.45,0.45,0.0105242600178635,0.00334826593727098,2.95665782127649e-05,299,299,299 -"151","IAR_LU_biexp","left kidney medulla",10,0.158,0.019,0.00209,0.278725112606773,0.0299295278885064,0.00175491609632802,0.45,0.45,0.45,0.45,0.45,0.45,0.214439226663254,0.0320665409108846,0.000647003511378606,299,299,299 -"152","IAR_LU_biexp","left kidney medulla",30,0.158,0.019,0.00209,0.195052950980682,0.0261856057527599,0.00200837477713779,0.45,0.45,0.45,0.45,0.45,0.45,0.107212847396005,0.022730281214365,0.000274366547433729,299,299,299 -"153","IAR_LU_biexp","left kidney medulla",50,0.158,0.019,0.00209,0.168666540718204,0.0221312082872428,0.00206534831379977,0.45,0.45,0.45,0.45,0.45,0.45,0.0511197732075942,0.0130549070375701,0.000140951659190629,299,299,299 -"154","IAR_LU_biexp","left kidney medulla",100,0.158,0.019,0.00209,0.160303513865828,0.0195063936622692,0.00208325110527239,0.45,0.45,0.45,0.45,0.45,0.45,0.0220967456206984,0.00402437727812436,6.45285823366835e-05,299,299,299 -"155","IAR_LU_biexp","left kidney medulla",200,0.158,0.019,0.00209,0.158549311213423,0.0191219025592804,0.00208780922914557,0.45,0.45,0.45,0.45,0.45,0.45,0.0107171092868028,0.00195429170292147,3.17207823967746e-05,299,299,299 -"156","IAR_LU_biexp","Liver",10,0.11,0.1,0.0015,0.17150503347828,0.0585894869688638,0.00133082929506349,0.45,0.45,0.45,0.45,0.45,0.45,0.136516097304139,0.040090038616655,0.000354915450632941,299,299,299 -"157","IAR_LU_biexp","Liver",30,0.11,0.1,0.0015,0.116524922609641,0.0797461322710395,0.00147039590886351,0.45,0.45,0.45,0.45,0.45,0.45,0.0333445716851057,0.0273586641563357,9.54315771325179e-05,299,299,299 -"158","IAR_LU_biexp","Liver",50,0.11,0.1,0.0015,0.111213985993271,0.0871710843301268,0.00148797791711182,0.45,0.45,0.45,0.45,0.45,0.45,0.0154006163091042,0.0181177747169451,4.76546785250623e-05,299,299,299 -"159","IAR_LU_biexp","Liver",100,0.11,0.1,0.0015,0.110305056949762,0.0927872237401196,0.00149443585404214,0.45,0.45,0.45,0.45,0.45,0.45,0.00760367346398485,0.010636984816954,2.3490644652322e-05,299,299,299 -"160","IAR_LU_biexp","Liver",200,0.11,0.1,0.0015,0.110083101922637,0.0961088632553183,0.00149729667035132,0.45,0.45,0.45,0.45,0.45,0.45,0.00377409246386361,0.00589352197554721,1.16519052488367e-05,299,299,299 -"161","IAR_LU_biexp","Myocardium LV",10,0.15,0.08,0.0024,0.27006842477102,0.0517900922930558,0.00197677446229465,0.45,0.45,0.45,0.45,0.45,0.45,0.196904005562501,0.039079006705774,0.000657249718213118,299,299,299 -"162","IAR_LU_biexp","Myocardium LV",30,0.15,0.08,0.0024,0.159128615485475,0.0752996005287946,0.00236027891632272,0.45,0.45,0.45,0.45,0.45,0.45,0.0440622372949345,0.0258268579970843,0.000173630033080063,299,299,299 -"163","IAR_LU_biexp","Myocardium LV",50,0.15,0.08,0.0024,0.152177073454838,0.0791919814940619,0.00238687553973693,0.45,0.45,0.45,0.45,0.45,0.45,0.0173891081488939,0.0184891337189341,8.64207194851514e-05,299,299,299 -"164","IAR_LU_biexp","Myocardium LV",100,0.15,0.08,0.0024,0.150508149157028,0.0806807886065444,0.00239611661636228,0.45,0.45,0.45,0.45,0.45,0.45,0.00852201581730271,0.0120767528934207,4.33018578890598e-05,299,299,299 -"165","IAR_LU_biexp","Myocardium LV",200,0.15,0.08,0.0024,0.150084202036767,0.0804859513207706,0.00239874839779324,0.45,0.45,0.45,0.45,0.45,0.45,0.00424599385979743,0.00694395430774553,2.18581528844054e-05,299,299,299 -"166","IAR_LU_biexp","myocardium ra",10,0.07,0.07,0.0015,0.14434529830722,0.0496160441966283,0.00132998441282674,0.45,0.45,0.45,0.45,0.45,0.45,0.140855149533486,0.0404605423176663,0.000341449090754878,299,299,299 -"167","IAR_LU_biexp","myocardium ra",30,0.07,0.07,0.0015,0.0884934019340212,0.0605990186959302,0.00145501083368677,0.45,0.45,0.45,0.45,0.45,0.45,0.0492325838484117,0.0351976192418362,0.000113777290620505,299,299,299 -"168","IAR_LU_biexp","myocardium ra",50,0.07,0.07,0.0015,0.0758647169781666,0.06791650050496,0.00148333041539624,0.45,0.45,0.45,0.45,0.45,0.45,0.0230456661351546,0.0291001629249576,5.93738477118657e-05,299,299,299 -"169","IAR_LU_biexp","myocardium ra",100,0.07,0.07,0.0015,0.0708749125967571,0.0711936438005044,0.00149642377167344,0.45,0.45,0.45,0.45,0.45,0.45,0.00816500710666416,0.0192721206922887,2.43863373496943e-05,299,299,299 -"170","IAR_LU_biexp","myocardium ra",200,0.07,0.07,0.0015,0.070182595378895,0.0711717683305259,0.00149896894166523,0.45,0.45,0.45,0.45,0.45,0.45,0.00403298414730219,0.0119620121584671,1.22446271475917e-05,299,299,299 -"171","IAR_LU_biexp","myocardium RV",10,0.15,0.08,0.0024,0.27006842477102,0.0517900922930558,0.00197677446229465,0.45,0.45,0.45,0.45,0.45,0.45,0.196904005562501,0.039079006705774,0.000657249718213118,299,299,299 -"172","IAR_LU_biexp","myocardium RV",30,0.15,0.08,0.0024,0.159128615485475,0.0752996005287946,0.00236027891632272,0.45,0.45,0.45,0.45,0.45,0.45,0.0440622372949345,0.0258268579970843,0.000173630033080063,299,299,299 -"173","IAR_LU_biexp","myocardium RV",50,0.15,0.08,0.0024,0.152177073454838,0.0791919814940619,0.00238687553973693,0.45,0.45,0.45,0.45,0.45,0.45,0.0173891081488939,0.0184891337189341,8.64207194851514e-05,299,299,299 -"174","IAR_LU_biexp","myocardium RV",100,0.15,0.08,0.0024,0.150508149157028,0.0806807886065444,0.00239611661636228,0.45,0.45,0.45,0.45,0.45,0.45,0.00852201581730271,0.0120767528934207,4.33018578890598e-05,299,299,299 -"175","IAR_LU_biexp","myocardium RV",200,0.15,0.08,0.0024,0.150084202036767,0.0804859513207706,0.00239874839779324,0.45,0.45,0.45,0.45,0.45,0.45,0.00424599385979743,0.00694395430774553,2.18581528844054e-05,299,299,299 -"176","IAR_LU_biexp","pancreas",10,0.15,0.01,0.00129999999999999,0.194101487815807,0.0312758838743002,0.00120526646626578,0.45,0.45,0.45,0.45,0.45,0.45,0.163835605660646,0.0351134171828845,0.000389002224095764,299,299,299 -"177","IAR_LU_biexp","pancreas",30,0.15,0.01,0.00129999999999999,0.18057781110752,0.0172903815631494,0.00125161129207905,0.45,0.45,0.45,0.45,0.45,0.45,0.0946201475796243,0.0207613933514163,0.000184226392073428,299,299,299 -"178","IAR_LU_biexp","pancreas",50,0.15,0.01,0.00129999999999999,0.172218377812807,0.0122015061567802,0.00126461919523248,0.45,0.45,0.45,0.45,0.45,0.45,0.0680057817004279,0.0102895468472958,0.000126280292095513,299,299,299 -"179","IAR_LU_biexp","pancreas",100,0.15,0.01,0.00129999999999999,0.156814390417323,0.010276360650811,0.00128831420397952,0.45,0.45,0.45,0.45,0.45,0.45,0.0330925441819963,0.00280594101449204,6.19579959599574e-05,299,299,299 -"180","IAR_LU_biexp","pancreas",200,0.15,0.01,0.00129999999999999,0.151550794401852,0.0100513328503536,0.00129688092235998,0.45,0.45,0.45,0.45,0.45,0.45,0.0150249218350546,0.00127661999397567,2.91039408170828e-05,299,299,299 -"181","IAR_LU_biexp","pericardium",10,0.07,0.00999999999999999,0.003,0.285492213115468,0.0190670326981962,0.00226157462609275,0.45,0.45,0.45,0.45,0.45,0.45,0.295897833443307,0.0281974740030665,0.000970921790568731,299,299,299 -"182","IAR_LU_biexp","pericardium",30,0.07,0.00999999999999999,0.003,0.171300202118549,0.0176658968150002,0.00279755619927794,0.45,0.45,0.45,0.45,0.45,0.45,0.192343219823375,0.0249759051303956,0.000428028390979465,299,299,299 -"183","IAR_LU_biexp","pericardium",50,0.07,0.00999999999999999,0.003,0.150556932149508,0.0186673286620893,0.00287029554388432,0.45,0.45,0.45,0.45,0.45,0.45,0.153716456740351,0.024823540168741,0.000300739466996796,299,299,299 -"184","IAR_LU_biexp","pericardium",100,0.07,0.00999999999999999,0.003,0.137271520897935,0.0160473990749268,0.00290927547149749,0.45,0.45,0.45,0.45,0.45,0.45,0.117893566693985,0.0195152724982985,0.000196241930893257,299,299,299 -"185","IAR_LU_biexp","pericardium",200,0.07,0.00999999999999999,0.003,0.102312394147559,0.0125930930414983,0.00295777596823617,0.45,0.45,0.45,0.45,0.45,0.45,0.0785041069510577,0.0109051130123374,0.000124246519340491,299,299,299 -"186","IAR_LU_biexp","right kidney medulla",10,0.158,0.019,0.00209,0.278725112606773,0.0299295278885064,0.00175491609632802,0.45,0.45,0.45,0.45,0.45,0.45,0.214439226663254,0.0320665409108846,0.000647003511378606,299,299,299 -"187","IAR_LU_biexp","right kidney medulla",30,0.158,0.019,0.00209,0.195052950980682,0.0261856057527599,0.00200837477713779,0.45,0.45,0.45,0.45,0.45,0.45,0.107212847396005,0.022730281214365,0.000274366547433729,299,299,299 -"188","IAR_LU_biexp","right kidney medulla",50,0.158,0.019,0.00209,0.168666540718204,0.0221312082872428,0.00206534831379977,0.45,0.45,0.45,0.45,0.45,0.45,0.0511197732075942,0.0130549070375701,0.000140951659190629,299,299,299 -"189","IAR_LU_biexp","right kidney medulla",100,0.158,0.019,0.00209,0.160303513865828,0.0195063936622692,0.00208325110527239,0.45,0.45,0.45,0.45,0.45,0.45,0.0220967456206984,0.00402437727812436,6.45285823366835e-05,299,299,299 -"190","IAR_LU_biexp","right kidney medulla",200,0.158,0.019,0.00209,0.158549311213423,0.0191219025592804,0.00208780922914557,0.45,0.45,0.45,0.45,0.45,0.45,0.0107171092868028,0.00195429170292147,3.17207823967746e-05,299,299,299 -"191","IAR_LU_biexp","Right kydney cortex",10,0.097,0.02,0.00212,0.210970906830311,0.0310310657601555,0.0018229470669625,0.45,0.45,0.45,0.45,0.45,0.45,0.203989004924902,0.0344674603310571,0.000586836581946663,299,299,299 -"192","IAR_LU_biexp","Right kydney cortex",30,0.097,0.02,0.00212,0.15768396635406,0.026659907618088,0.00200188081254989,0.45,0.45,0.45,0.45,0.45,0.45,0.114151568500584,0.02634118752992,0.000253815865698958,299,299,299 -"193","IAR_LU_biexp","Right kydney cortex",50,0.097,0.02,0.00212,0.121533306097951,0.0268595655306235,0.00207299933900311,0.45,0.45,0.45,0.45,0.45,0.45,0.0702050063177978,0.0225952613910742,0.000153941426857934,299,299,299 -"194","IAR_LU_biexp","Right kydney cortex",100,0.097,0.02,0.00212,0.100982702473657,0.021817155940103,0.00211092183513097,0.45,0.45,0.45,0.45,0.45,0.45,0.0231884312921043,0.00884130304693349,6.24363655216314e-05,299,299,299 -"195","IAR_LU_biexp","Right kydney cortex",200,0.097,0.02,0.00212,0.0979413174196692,0.020324544085,0.00211720394022434,0.45,0.45,0.45,0.45,0.45,0.45,0.0105242600178635,0.00334826593727098,2.95665782127649e-05,299,299,299 -"196","IAR_LU_biexp","small intestine",10,0.69,0.029,0.00131,0.697212667324408,0.0325023737670926,0.00113782851099832,0.45,0.45,0.45,0.45,0.45,0.45,0.0969149608580876,0.0150873112899437,0.000756515511829932,299,299,299 -"197","IAR_LU_biexp","small intestine",30,0.69,0.029,0.00131,0.690042687647921,0.0293408736692245,0.0012973384897293,0.45,0.45,0.45,0.45,0.45,0.45,0.0360947594630489,0.00363625975813661,0.000283880193523868,299,299,299 -"198","IAR_LU_biexp","small intestine",50,0.69,0.029,0.00131,0.690035515564786,0.0291115986613112,0.00130238539849337,0.45,0.45,0.45,0.45,0.45,0.45,0.0214722257688065,0.00211805855379368,0.000167872962555997,299,299,299 -"199","IAR_LU_biexp","small intestine",100,0.69,0.029,0.00131,0.690016590577353,0.0290241717816333,0.00130617192289034,0.45,0.45,0.45,0.45,0.45,0.45,0.0106870876894146,0.00104662367040614,8.33919719690564e-05,299,299,299 -"200","IAR_LU_biexp","small intestine",200,0.69,0.029,0.00131,0.690006715703415,0.0290045215198542,0.00130808718713812,0.45,0.45,0.45,0.45,0.45,0.45,0.00533599564919373,0.000521521540682779,4.16245931960093e-05,299,299,299 -"201","IAR_LU_biexp","spleen",10,0.2,0.03,0.00129999999999999,0.258238381169185,0.0415855486936915,0.001156583030263,0.45,0.45,0.45,0.45,0.45,0.45,0.138972935730348,0.033199359136067,0.000392002777022699,299,299,299 -"202","IAR_LU_biexp","spleen",30,0.2,0.03,0.00129999999999999,0.206967214328514,0.0338919578464336,0.00128156423965599,0.45,0.45,0.45,0.45,0.45,0.45,0.0387633481889241,0.0175409201633337,0.000113885202343254,299,299,299 -"203","IAR_LU_biexp","spleen",50,0.2,0.03,0.00129999999999999,0.202249286598062,0.0312833908166694,0.00129256952434829,0.45,0.45,0.45,0.45,0.45,0.45,0.0221581511313069,0.00879736911181636,6.60123263011774e-05,299,299,299 -"204","IAR_LU_biexp","spleen",100,0.2,0.03,0.00129999999999999,0.200487080304842,0.0302504275785877,0.0012973937314337,0.45,0.45,0.45,0.45,0.45,0.45,0.0107457183685509,0.00383295563309727,3.20648907780344e-05,299,299,299 -"205","IAR_LU_biexp","spleen",200,0.2,0.03,0.00129999999999999,0.20009205584711,0.030052736227119,0.00129897493246634,0.45,0.45,0.45,0.45,0.45,0.45,0.00531656690976873,0.00186528647470474,1.58727384991494e-05,299,299,299 -"206","IAR_LU_biexp","st wall",10,0.3,0.012,0.0015,0.361045681611347,0.0252956083225308,0.00131717399629326,0.45,0.45,0.45,0.45,0.45,0.45,0.20326722786523,0.0285647281439496,0.000612145460756818,299,299,299 -"207","IAR_LU_biexp","st wall",30,0.3,0.012,0.0015,0.323962428710257,0.0134193933845625,0.00143886841292422,0.45,0.45,0.45,0.45,0.45,0.45,0.0982083290063556,0.00798933272515384,0.000260082486221727,299,299,299 -"208","IAR_LU_biexp","st wall",50,0.3,0.012,0.0015,0.307361980831941,0.012384744394028,0.00147968648747327,0.45,0.45,0.45,0.45,0.45,0.45,0.0543906266860356,0.00311905673053413,0.000143561177270617,299,299,299 -"209","IAR_LU_biexp","st wall",100,0.3,0.012,0.0015,0.301677558443888,0.0120878361093821,0.00149434290424516,0.45,0.45,0.45,0.45,0.45,0.45,0.0263384511959087,0.0014322760683357,6.96636660243356e-05,299,299,299 -"210","IAR_LU_biexp","st wall",200,0.3,0.012,0.0015,0.300399087873271,0.0120193042665729,0.0014981386774852,0.45,0.45,0.45,0.45,0.45,0.45,0.0130979678723596,0.000698591450954127,3.46398328200195e-05,299,299,299 -"211","IAR_LU_biexp","trans lower intestine",10,0.69,0.029,0.00130999999999999,0.697212667722101,0.0325023737662354,0.0011378285095022,0.45,0.45,0.45,0.45,0.45,0.45,0.0969149605281008,0.0150873112941006,0.00075651551328862,299,299,299 -"212","IAR_LU_biexp","trans lower intestine",30,0.69,0.029,0.00130999999999999,0.69004268765537,0.0293408736684314,0.00129733848966368,0.45,0.45,0.45,0.45,0.45,0.45,0.0360947595155316,0.00363625976077757,0.000283880194085563,299,299,299 -"213","IAR_LU_biexp","trans lower intestine",50,0.69,0.029,0.00130999999999999,0.690035515530053,0.0291115986633909,0.00130238539872579,0.45,0.45,0.45,0.45,0.45,0.45,0.0214722257310754,0.00211805855231437,0.00016787296220424,299,299,299 -"214","IAR_LU_biexp","trans lower intestine",100,0.69,0.029,0.00130999999999999,0.690016590592847,0.0290241717807258,0.00130617192278856,0.45,0.45,0.45,0.45,0.45,0.45,0.0106870876903053,0.00104662367103972,8.33919719260138e-05,299,299,299 -"215","IAR_LU_biexp","trans lower intestine",200,0.69,0.029,0.00130999999999999,0.690006715695885,0.0290045215203316,0.00130808718718679,0.45,0.45,0.45,0.45,0.45,0.45,0.00533599564581372,0.000521521540492688,4.16245931726914e-05,299,299,299 -"216","IAR_LU_biexp","Vein",10,1,0.1,0.00299999999999999,0.926470695260705,0.0982613762253741,0.000127034347223934,0.45,0.45,0.45,0.45,0.45,0.45,0.0215210674937771,0.00496152716857027,0.000371973810625793,299,299,299 -"217","IAR_LU_biexp","Vein",30,1,0.1,0.00299999999999999,0.977495351988701,0.0994484053257689,8.67768297506284e-05,0.45,0.45,0.45,0.45,0.45,0.45,0.00692461752649988,0.00165005168479494,0.000295520156728701,299,299,299 -"218","IAR_LU_biexp","Vein",50,1,0.1,0.00299999999999999,0.986847787845757,0.0996578523982781,7.50360361710704e-05,0.45,0.45,0.45,0.45,0.45,0.45,0.00411089364622236,0.00101750527774572,0.000278518470089847,299,299,299 -"219","IAR_LU_biexp","Vein",100,1,0.1,0.00299999999999999,0.993665235854761,0.0998164880988224,5.78826115993397e-05,0.45,0.45,0.45,0.45,0.45,0.45,0.0020037885113627,0.00052992688033651,0.000263826201803343,299,299,299 -"220","IAR_LU_biexp","Vein",200,1,0.1,0.00299999999999999,0.996952138240823,0.0999023540965261,4.8214267558104e-05,0.45,0.45,0.45,0.45,0.45,0.45,0.000991618405463582,0.000274814551195418,0.000256559599724831,299,299,299 -"221","IAR_LU_modified_mix","Artery",10,1,0.1,0.00299999999999999,0.933570848988992,0.0981805068105781,9.69093889944883e-05,0.01,0.01,0.01,0.0,0.0,0.0,0.0215342543426893,0.00482098138907883,0.00027316568035834,299,299,299 -"222","IAR_LU_modified_mix","Artery",30,1,0.1,0.00299999999999999,0.978660010508155,0.0989277747511537,0.000105702347593366,0.01,0.01,0.01,0.0,0.0,0.0,0.00717456694962925,0.00255925461853962,0.000390576167740346,299,299,299 -"223","IAR_LU_modified_mix","Artery",50,1,0.1,0.00299999999999999,0.987513355852953,0.0993146630813435,0.000111537271968229,0.01,0.01,0.01,0.0,0.0,0.0,0.00425068598657669,0.00163747345989128,0.000425759593662501,299,299,299 -"224","IAR_LU_modified_mix","Artery",100,1,0.1,0.00299999999999999,0.993798822519854,0.0996341503627457,0.00067451351062631,0.01,0.01,0.01,0.0,0.0,0.0,0.00224169924060188,0.000833637613746272,0.00083359048680711,299,299,299 -"225","IAR_LU_modified_mix","Artery",200,1,0.1,0.00299999999999999,0.996837881526941,0.0998131234824984,0.000952042039241386,0.01,0.01,0.01,0.0,0.0,0.0,0.001249893170354,0.000417998146329635,0.000912905291908255,299,299,299 -"226","IAR_LU_modified_mix","asc lower intestine",10,0.69,0.029,0.00131,0.701098146999056,0.0376846384692992,0.00123584558723118,0.01,0.01,0.01,0.0,0.0,0.0,0.0838529625204976,0.0142711329792211,0.000699901421058509,299,299,299 -"227","IAR_LU_modified_mix","asc lower intestine",30,0.69,0.029,0.00131,0.689270433829804,0.0305702921292171,0.00132592004287042,0.01,0.01,0.01,0.0,0.0,0.0,0.0343145030426862,0.00387902864928047,0.000274527203038461,299,299,299 -"228","IAR_LU_modified_mix","asc lower intestine",50,0.69,0.029,0.00131,0.689092920587044,0.0296106102396988,0.00131644357044935,0.01,0.01,0.01,0.0,0.0,0.0,0.0211233604764238,0.00231402306217761,0.000165698487313645,299,299,299 -"229","IAR_LU_modified_mix","asc lower intestine",100,0.69,0.029,0.00131,0.689244198890322,0.029166295196685,0.00131232083976971,0.01,0.01,0.01,0.0,0.0,0.0,0.0106229535802193,0.00118522391515315,8.31980645449237e-05,299,299,299 -"230","IAR_LU_modified_mix","asc lower intestine",200,0.69,0.029,0.00131,0.689566686914887,0.0290651339498258,0.00131119343859749,0.01,0.01,0.01,0.0,0.0,0.0,0.00530833271107002,0.000595638106375174,4.1614521102759e-05,299,299,299 -"231","IAR_LU_modified_mix","Blood RA",10,1,0.1,0.00299999999999999,0.933575987374375,0.0981725574835951,9.69018377906745e-05,0.01,0.01,0.01,0.0,0.0,0.0,0.0215257895568654,0.00483113629901814,0.000274130265421953,299,299,299 -"232","IAR_LU_modified_mix","Blood RA",30,1,0.1,0.00299999999999999,0.978662969533537,0.0989260889052865,0.000105300000732639,0.01,0.01,0.01,0.0,0.0,0.0,0.00717485114839342,0.00255795325769655,0.000390275453056785,299,299,299 -"233","IAR_LU_modified_mix","Blood RA",50,1,0.1,0.00299999999999999,0.987511739004263,0.0993298157024425,0.000132794280083072,0.01,0.01,0.01,0.0,0.0,0.0,0.00425069060397439,0.0015911575611717,0.000504854482002304,299,299,299 -"234","IAR_LU_modified_mix","Blood RA",100,1,0.1,0.00299999999999999,0.993790416523141,0.0996310212865855,0.000668232661096037,0.01,0.01,0.01,0.0,0.0,0.0,0.00225360117674088,0.000839393019600417,0.000811535376588593,299,299,299 -"235","IAR_LU_modified_mix","Blood RA",200,1,0.1,0.00299999999999999,0.996855535493298,0.0998158125367873,0.000899368064030819,0.01,0.01,0.01,0.0,0.0,0.0,0.00122656658519385,0.000422751162266688,0.000910077779013461,299,299,299 -"236","IAR_LU_modified_mix","Blood RV",10,1,0.1,0.003,0.933566610122185,0.0981787807085708,9.70611172703338e-05,0.01,0.01,0.01,0.0,0.0,0.0,0.021530161874902,0.00482648728122416,0.000275314576455366,299,299,299 -"237","IAR_LU_modified_mix","Blood RV",30,1,0.1,0.003,0.978662117043132,0.0989263773276916,0.000105450014645893,0.01,0.01,0.01,0.0,0.0,0.0,0.00717258006854822,0.00256082608071443,0.000390213653300988,299,299,299 -"238","IAR_LU_modified_mix","Blood RV",50,1,0.1,0.003,0.987501435172669,0.099328202590769,0.000143321105908456,0.01,0.01,0.01,0.0,0.0,0.0,0.0042494255353876,0.00160494769815741,0.000532773974790679,299,299,299 -"239","IAR_LU_modified_mix","Blood RV",100,1,0.1,0.003,0.993794323814746,0.0996364967198052,0.000621828868607648,0.01,0.01,0.01,0.0,0.0,0.0,0.00223204890758188,0.000833791395125412,0.000755680040057872,299,299,299 -"240","IAR_LU_modified_mix","Blood RV",200,1,0.1,0.003,0.996857901937908,0.0998074115641361,0.000932667960501076,0.01,0.01,0.01,0.0,0.0,0.0,0.00122897242482976,0.000426998046809806,0.000933797204745226,299,299,299 -"241","IAR_LU_modified_mix","desc lower intestine",10,0.69,0.029,0.00131,0.701145535646085,0.0376638219718699,0.00123540721625722,0.01,0.01,0.01,0.0,0.0,0.0,0.083796930049459,0.0142347099361935,0.000699577458908831,299,299,299 -"242","IAR_LU_modified_mix","desc lower intestine",30,0.69,0.029,0.00131,0.689263925418507,0.0305703664783724,0.00132595409827823,0.01,0.01,0.01,0.0,0.0,0.0,0.0343141207391388,0.00387514363578225,0.000274490525618896,299,299,299 -"243","IAR_LU_modified_mix","desc lower intestine",50,0.69,0.029,0.00131,0.689067045652208,0.0296139701994284,0.00131662404649655,0.01,0.01,0.01,0.0,0.0,0.0,0.021127494024743,0.00231722300632553,0.000165725358891943,299,299,299 -"244","IAR_LU_modified_mix","desc lower intestine",100,0.69,0.029,0.00131,0.689264642734075,0.0291646963628323,0.00131222141168724,0.01,0.01,0.01,0.0,0.0,0.0,0.0106155989160487,0.00118572275886623,8.30923169693225e-05,299,299,299 -"245","IAR_LU_modified_mix","desc lower intestine",200,0.69,0.029,0.00131,0.689578693620721,0.0290643988810149,0.00131114025379791,0.01,0.01,0.01,0.0,0.0,0.0,0.00533355200959244,0.000599004776094079,4.1718959275412e-05,299,299,299 -"246","IAR_LU_modified_mix","esophagus",10,0.32,0.03,0.00167,0.400527830593273,0.0447949636977544,0.0015426629492717,0.01,0.01,0.01,0.0,0.0,0.0,0.102469226197977,0.0260824649486422,0.000435811877077636,299,299,299 -"247","IAR_LU_modified_mix","esophagus",30,0.32,0.03,0.00167,0.337529946987892,0.0333132633421435,0.00164831554033642,0.01,0.01,0.01,0.0,0.0,0.0,0.0404883972521689,0.0096608144222792,0.000155056043499648,299,299,299 -"248","IAR_LU_modified_mix","esophagus",50,0.32,0.03,0.00167,0.327757008760631,0.0312887913494121,0.00165940742671238,0.01,0.01,0.01,0.0,0.0,0.0,0.0251829987126239,0.00506274182546082,9.39501132013033e-05,299,299,299 -"249","IAR_LU_modified_mix","esophagus",100,0.32,0.03,0.00167,0.32155824311201,0.0303795816066876,0.00166722178568304,0.01,0.01,0.01,0.0,0.0,0.0,0.0130040941720539,0.00246263456737367,4.72367409344804e-05,299,299,299 -"250","IAR_LU_modified_mix","esophagus",200,0.32,0.03,0.00167,0.320006741416008,0.0301152438308431,0.00166943707892514,0.01,0.01,0.01,0.0,0.0,0.0,0.00665600574442942,0.00124090994517614,2.37736615342511e-05,299,299,299 -"251","IAR_LU_modified_mix","esophagus cont",10,0.32,0.03,0.00167,0.400548979460758,0.0447739971059416,0.00154247856745977,0.01,0.01,0.01,0.0,0.0,0.0,0.102488763785933,0.0260631843402454,0.000435716369017007,299,299,299 -"252","IAR_LU_modified_mix","esophagus cont",30,0.32,0.03,0.00167,0.337471951892681,0.0333411057871392,0.00164849410210564,0.01,0.01,0.01,0.0,0.0,0.0,0.0404410994932849,0.0097339323009991,0.000155177312482306,299,299,299 -"253","IAR_LU_modified_mix","esophagus cont",50,0.32,0.03,0.00167,0.327773227014542,0.0312841862018564,0.00165938176779592,0.01,0.01,0.01,0.0,0.0,0.0,0.0252203796414001,0.00504667330126957,9.38841854255672e-05,299,299,299 -"254","IAR_LU_modified_mix","esophagus cont",100,0.32,0.03,0.00167,0.321628569189038,0.0303635496520416,0.00166699565123893,0.01,0.01,0.01,0.0,0.0,0.0,0.0130373570332147,0.00246481235226089,4.72845762933273e-05,299,299,299 -"255","IAR_LU_modified_mix","esophagus cont",200,0.32,0.03,0.00167,0.319962570453534,0.0301251544692642,0.00166958059421625,0.01,0.01,0.01,0.0,0.0,0.0,0.00664838833945276,0.00123023906420883,2.3632274966389e-05,299,299,299 -"256","IAR_LU_modified_mix","Left kidney cortex",10,0.097,0.02,0.00212,0.249532616991952,0.0474117748334815,0.00188136159657005,0.01,0.01,0.01,0.0,0.0,0.0,0.149602692179695,0.0328948654285501,0.000502337861275099,299,299,299 -"257","IAR_LU_modified_mix","Left kidney cortex",30,0.097,0.02,0.00212,0.152034132289475,0.0340311002318332,0.00204254497936777,0.01,0.01,0.01,0.0,0.0,0.0,0.0760353011732551,0.0271313066670539,0.000193836017179154,299,299,299 -"258","IAR_LU_modified_mix","Left kidney cortex",50,0.097,0.02,0.00212,0.125470720185733,0.0289410754570493,0.00208094800215627,0.01,0.01,0.01,0.0,0.0,0.0,0.0473913747039697,0.0222710733980788,0.000119613146630861,299,299,299 -"259","IAR_LU_modified_mix","Left kidney cortex",100,0.097,0.02,0.00212,0.109265063750681,0.0209832399432036,0.00210024709823131,0.01,0.01,0.01,0.0,0.0,0.0,0.0202157581391851,0.00821099980510626,5.54276205660732e-05,299,299,299 -"260","IAR_LU_modified_mix","Left kidney cortex",200,0.097,0.02,0.00212,0.10242582323802,0.0195951700506166,0.00210948179329922,0.01,0.01,0.01,0.0,0.0,0.0,0.00987254906396141,0.00307183611477733,2.73151096204985e-05,299,299,299 -"261","IAR_LU_modified_mix","left kidney medulla",10,0.158,0.019,0.00209,0.287742524780219,0.0469532718020942,0.00187799044025495,0.01,0.01,0.01,0.0,0.0,0.0,0.150597235131432,0.0330747939408189,0.000536819571838129,299,299,299 -"262","IAR_LU_modified_mix","left kidney medulla",30,0.158,0.019,0.00209,0.194864152021357,0.0298505046160489,0.00204397403174536,0.01,0.01,0.01,0.0,0.0,0.0,0.0709550598231138,0.0218441626546138,0.000204049937474551,299,299,299 -"263","IAR_LU_modified_mix","left kidney medulla",50,0.158,0.019,0.00209,0.174252668623799,0.0242567176575074,0.00207256455461566,0.01,0.01,0.01,0.0,0.0,0.0,0.0415254785739867,0.0130031350639763,0.000121538851820776,299,299,299 -"264","IAR_LU_modified_mix","left kidney medulla",100,0.158,0.019,0.00209,0.163278703698389,0.0203070180368319,0.00208414982352122,0.01,0.01,0.01,0.0,0.0,0.0,0.0211047448900031,0.00391292939047346,6.11095948149501e-05,299,299,299 -"265","IAR_LU_modified_mix","left kidney medulla",200,0.158,0.019,0.00209,0.158985685800923,0.0194178680288917,0.00208893183158285,0.01,0.01,0.01,0.0,0.0,0.0,0.0109797733360322,0.00193587711259381,3.13387637953475e-05,299,299,299 -"266","IAR_LU_modified_mix","Liver",10,0.11,0.1,0.0015,0.243028014795172,0.0624504804547779,0.00132518894905339,0.01,0.01,0.01,0.0,0.0,0.0,0.101060620928961,0.0343360464760076,0.00029607175246079,299,299,299 -"267","IAR_LU_modified_mix","Liver",30,0.11,0.1,0.0015,0.140783521867315,0.0802197298499024,0.00145852258385073,0.01,0.01,0.01,0.0,0.0,0.0,0.0328019767778551,0.0260027022120638,8.81257244158894e-05,299,299,299 -"268","IAR_LU_modified_mix","Liver",50,0.11,0.1,0.0015,0.12309553288397,0.087011797073023,0.00148129461844818,0.01,0.01,0.01,0.0,0.0,0.0,0.0184665708897472,0.0178616038531672,4.84916318562723e-05,299,299,299 -"269","IAR_LU_modified_mix","Liver",100,0.11,0.1,0.0015,0.113755042831202,0.092496271734274,0.00149247648359747,0.01,0.01,0.01,0.0,0.0,0.0,0.00969028027416998,0.0104792908886752,2.39190196817366e-05,299,299,299 -"270","IAR_LU_modified_mix","Liver",200,0.11,0.1,0.0015,0.111173313381198,0.0956746358547584,0.00149653870928575,0.01,0.01,0.01,0.0,0.0,0.0,0.00523804664463599,0.00574596456915193,1.19327104574067e-05,299,299,299 -"271","IAR_LU_modified_mix","Myocardium LV",10,0.15,0.08,0.0024,0.292668635997344,0.062818829057458,0.0020705594140065,0.01,0.01,0.01,0.0,0.0,0.0,0.127024838077414,0.033695107022932,0.00051687296022501,299,299,299 -"272","IAR_LU_modified_mix","Myocardium LV",30,0.15,0.08,0.0024,0.177738007442708,0.0766591400862628,0.00234659593498546,0.01,0.01,0.01,0.0,0.0,0.0,0.0363991942681653,0.0241051591436976,0.000152037081683733,299,299,299 -"273","IAR_LU_modified_mix","Myocardium LV",50,0.15,0.08,0.0024,0.160901941269485,0.0792910768978142,0.00237826197663998,0.01,0.01,0.01,0.0,0.0,0.0,0.0207910806480581,0.0182575625585446,8.78672690632462e-05,299,299,299 -"274","IAR_LU_modified_mix","Myocardium LV",100,0.15,0.08,0.0024,0.152028434882425,0.0806077342583237,0.00239450606346528,0.01,0.01,0.01,0.0,0.0,0.0,0.0108729706583398,0.0119809429203843,4.43777825041243e-05,299,299,299 -"275","IAR_LU_modified_mix","Myocardium LV",200,0.15,0.08,0.0024,0.150206783416951,0.080458243656439,0.00239857495114568,0.01,0.01,0.01,0.0,0.0,0.0,0.00575132425848615,0.00692426031645694,2.25733166882019e-05,299,299,299 -"276","IAR_LU_modified_mix","myocardium ra",10,0.07,0.07,0.0015,0.217418919228325,0.0548070101998308,0.0013307451983828,0.01,0.01,0.01,0.0,0.0,0.0,0.106804799716803,0.0336618413187429,0.000296301741999445,299,299,299 -"277","IAR_LU_modified_mix","myocardium ra",30,0.07,0.07,0.0015,0.114208154078613,0.0608871232569255,0.00144631390638784,0.01,0.01,0.01,0.0,0.0,0.0,0.0411190421325667,0.0320676577141246,9.70886494479196e-05,299,299,299 -"278","IAR_LU_modified_mix","myocardium ra",50,0.07,0.07,0.0015,0.0906970207097383,0.0663582796941316,0.00147515529989145,0.01,0.01,0.01,0.0,0.0,0.0,0.0229207872253836,0.0267997646460673,5.62258617109179e-05,299,299,299 -"279","IAR_LU_modified_mix","myocardium ra",100,0.07,0.07,0.0015,0.0763172598938093,0.0703012594964821,0.00149220525025731,0.01,0.01,0.01,0.0,0.0,0.0,0.0110844027223029,0.0204183212269255,2.75853755534046e-05,299,299,299 -"280","IAR_LU_modified_mix","myocardium ra",200,0.07,0.07,0.0015,0.0711873339802141,0.071012263736686,0.00149820353775491,0.01,0.01,0.01,0.0,0.0,0.0,0.0055185238958783,0.0123993133675178,1.32882110617675e-05,299,299,299 -"281","IAR_LU_modified_mix","myocardium RV",10,0.15,0.08,0.0024,0.29138759778007,0.0634523083963379,0.00207377386621988,0.01,0.01,0.01,0.0,0.0,0.0,0.127491855180917,0.0335129615024955,0.000515271773404712,299,299,299 -"282","IAR_LU_modified_mix","myocardium RV",30,0.15,0.08,0.0024,0.178536958838559,0.0761969761487833,0.00234416351526948,0.01,0.01,0.01,0.0,0.0,0.0,0.037118289610981,0.0245490154570805,0.000155277005363762,299,299,299 -"283","IAR_LU_modified_mix","myocardium RV",50,0.15,0.08,0.0024,0.160895174089521,0.079308982525226,0.00237829482641901,0.01,0.01,0.01,0.0,0.0,0.0,0.0207587562712371,0.018256477610219,8.78367262569577e-05,299,299,299 -"284","IAR_LU_modified_mix","myocardium RV",100,0.15,0.08,0.0024,0.152023667758396,0.080620281339839,0.00239451487846507,0.01,0.01,0.01,0.0,0.0,0.0,0.0108713546371183,0.0120024241632719,4.44037069107048e-05,299,299,299 -"285","IAR_LU_modified_mix","myocardium RV",200,0.15,0.08,0.0024,0.150201811438555,0.0804679869018945,0.00239859266134557,0.01,0.01,0.01,0.0,0.0,0.0,0.00574915351494362,0.00693083741874004,2.25884434304873e-05,299,299,299 -"286","IAR_LU_modified_mix","pancreas",10,0.15,0.01,0.00129999999999999,0.248344316684146,0.0432673370142827,0.00123766533339312,0.01,0.01,0.01,0.0,0.0,0.0,0.125891591299949,0.0329699372149749,0.000342302770815962,299,299,299 -"287","IAR_LU_modified_mix","pancreas",30,0.15,0.01,0.00129999999999999,0.182978537498608,0.0218247024322462,0.00127868929024059,0.01,0.01,0.01,0.0,0.0,0.0,0.0710746088228192,0.0220253009430336,0.000150137678081883,299,299,299 -"288","IAR_LU_modified_mix","pancreas",50,0.15,0.01,0.00129999999999999,0.170181818027131,0.0142758354390592,0.00128445720433125,0.01,0.01,0.01,0.0,0.0,0.0,0.0496827374528674,0.010487391275323,9.93712033705176e-05,299,299,299 -"289","IAR_LU_modified_mix","pancreas",100,0.15,0.01,0.00129999999999999,0.156715737470036,0.0112668739528815,0.00129575655051772,0.01,0.01,0.01,0.0,0.0,0.0,0.0275536230334743,0.00280742108219625,5.36023135630817e-05,299,299,299 -"290","IAR_LU_modified_mix","pancreas",200,0.15,0.01,0.00129999999999999,0.151437121859861,0.0104424292043013,0.00129973244445252,0.01,0.01,0.01,0.0,0.0,0.0,0.0141327834577345,0.00130396809535004,2.73624064797803e-05,299,299,299 -"291","IAR_LU_modified_mix","pericardium",10,0.07,0.00999999999999999,0.003,0.255261988113913,0.0476029149803136,0.00249957332698816,0.01,0.01,0.01,0.0,0.0,0.0,0.213516352912783,0.0336004006029444,0.000818256522450913,299,299,299 -"292","IAR_LU_modified_mix","pericardium",30,0.07,0.00999999999999999,0.003,0.149954394620714,0.0367555313016414,0.00284555491289821,0.01,0.01,0.01,0.0,0.0,0.0,0.157348120967762,0.0310398596126881,0.000395287731756426,299,299,299 -"293","IAR_LU_modified_mix","pericardium",50,0.07,0.00999999999999999,0.003,0.1339534949829,0.0327862235217742,0.00289288395593041,0.01,0.01,0.01,0.0,0.0,0.0,0.136955415476539,0.0314142302912386,0.00029147245816474,299,299,299 -"294","IAR_LU_modified_mix","pericardium",100,0.07,0.00999999999999999,0.003,0.122524582945071,0.0211547506974247,0.002924599490842,0.01,0.01,0.01,0.0,0.0,0.0,0.107189237240671,0.0251396358874472,0.000191708065414385,299,299,299 -"295","IAR_LU_modified_mix","pericardium",200,0.07,0.00999999999999999,0.003,0.0995911309067432,0.0126786513365091,0.00295805545905117,0.01,0.01,0.01,0.0,0.0,0.0,0.0716041461376219,0.0104213011105497,0.000118459951222743,299,299,299 -"296","IAR_LU_modified_mix","right kidney medulla",10,0.158,0.019,0.00209,0.28965165104317,0.0463222357611467,0.00186936701287237,0.01,0.01,0.01,0.0,0.0,0.0,0.154078461319228,0.0328064576871952,0.000545349997355686,299,299,299 -"297","IAR_LU_modified_mix","right kidney medulla",30,0.158,0.019,0.00209,0.194854321754547,0.0298774402228633,0.00204406121670449,0.01,0.01,0.01,0.0,0.0,0.0,0.0710477064913935,0.021838658216508,0.000204362249447335,299,299,299 -"298","IAR_LU_modified_mix","right kidney medulla",50,0.158,0.019,0.00209,0.174333154255163,0.0242263171075138,0.00207234463151042,0.01,0.01,0.01,0.0,0.0,0.0,0.0416722187207939,0.0129129541368736,0.000121772941577827,299,299,299 -"299","IAR_LU_modified_mix","right kidney medulla",100,0.158,0.019,0.00209,0.163226072290611,0.0203261755563394,0.00208431407512289,0.01,0.01,0.01,0.0,0.0,0.0,0.0212053684989626,0.0039277104912548,6.13121337896188e-05,299,299,299 -"300","IAR_LU_modified_mix","right kidney medulla",200,0.158,0.019,0.00209,0.159049278283893,0.0194069652468105,0.00208876391735952,0.01,0.01,0.01,0.0,0.0,0.0,0.0109419949541128,0.00194875599532487,3.12972557845455e-05,299,299,299 -"301","IAR_LU_modified_mix","Right kydney cortex",10,0.097,0.02,0.00212,0.248827535387845,0.048033430271864,0.00188349481680363,0.01,0.01,0.01,0.0,0.0,0.0,0.149269552893858,0.033107519813366,0.000503094490859781,299,299,299 -"302","IAR_LU_modified_mix","Right kydney cortex",30,0.097,0.02,0.00212,0.151607823307439,0.0342364378609477,0.00204368795416302,0.01,0.01,0.01,0.0,0.0,0.0,0.0762064458544891,0.0274568438882678,0.000194776269611553,299,299,299 -"303","IAR_LU_modified_mix","Right kydney cortex",50,0.097,0.02,0.00212,0.125960981401414,0.0286867772578075,0.00207984351985909,0.01,0.01,0.01,0.0,0.0,0.0,0.0477410849778633,0.0220333334458629,0.000119565433226195,299,299,299 -"304","IAR_LU_modified_mix","Right kydney cortex",100,0.097,0.02,0.00212,0.109362773523813,0.0209818010211308,0.00210003319968129,0.01,0.01,0.01,0.0,0.0,0.0,0.0203094933614173,0.00819641576176799,5.52133247059982e-05,299,299,299 -"305","IAR_LU_modified_mix","Right kydney cortex",200,0.097,0.02,0.00212,0.102568055468329,0.0195499671391283,0.00210914474464573,0.01,0.01,0.01,0.0,0.0,0.0,0.00996242367557439,0.00303162336859383,2.73320529798663e-05,299,299,299 -"306","IAR_LU_modified_mix","small intestine",10,0.69,0.029,0.00131,0.701198745993371,0.0376646732319215,0.00123518735746814,0.01,0.01,0.01,0.0,0.0,0.0,0.0837909479652782,0.0142461690833718,0.000699424013110354,299,299,299 -"307","IAR_LU_modified_mix","small intestine",30,0.69,0.029,0.00131,0.689300841326672,0.0305668152861243,0.00132574584949807,0.01,0.01,0.01,0.0,0.0,0.0,0.0343183473999597,0.00387502876228319,0.000274594881305669,299,299,299 -"308","IAR_LU_modified_mix","small intestine",50,0.69,0.029,0.00131,0.689071387792248,0.0296139387993788,0.00131660701698079,0.01,0.01,0.01,0.0,0.0,0.0,0.0211282716804542,0.0023189052398669,0.000165773235811395,299,299,299 -"309","IAR_LU_modified_mix","small intestine",100,0.69,0.029,0.00131,0.689250067287498,0.0291660422905695,0.00131230086413988,0.01,0.01,0.01,0.0,0.0,0.0,0.0106146402663469,0.00118555620015251,8.30742237340875e-05,299,299,299 -"310","IAR_LU_modified_mix","small intestine",200,0.69,0.029,0.00131,0.689567485944398,0.0290651227894702,0.00131119397071469,0.01,0.01,0.01,0.0,0.0,0.0,0.00531401069854208,0.00059651399766035,4.16089073023098e-05,299,299,299 -"311","IAR_LU_modified_mix","spleen",10,0.2,0.03,0.00129999999999999,0.307621156848986,0.0469076155274879,0.00118060377355725,0.01,0.01,0.01,0.0,0.0,0.0,0.0988607322094869,0.0292955180646468,0.000309765659919692,299,299,299 -"312","IAR_LU_modified_mix","spleen",30,0.2,0.03,0.00129999999999999,0.226714852861466,0.0357507274073965,0.00127427679153086,0.01,0.01,0.01,0.0,0.0,0.0,0.0384383786913669,0.0165816848974677,0.000105970591118997,299,299,299 -"313","IAR_LU_modified_mix","spleen",50,0.2,0.03,0.00129999999999999,0.212838874320091,0.0322032454380028,0.00128726842825159,0.01,0.01,0.01,0.0,0.0,0.0,0.0239815393630376,0.00841063284965137,6.46131376919829e-05,299,299,299 -"314","IAR_LU_modified_mix","spleen",100,0.2,0.03,0.00129999999999999,0.203929273047352,0.0305801767530657,0.0012955980448668,0.01,0.01,0.01,0.0,0.0,0.0,0.0123598551177239,0.00374491573593368,3.22521110237516e-05,299,299,299 -"315","IAR_LU_modified_mix","spleen",200,0.2,0.03,0.00129999999999999,0.200648735685256,0.0301543535588632,0.00129883471269564,0.01,0.01,0.01,0.0,0.0,0.0,0.00652106017908323,0.00187787952801339,1.62570791579883e-05,299,299,299 -"316","IAR_LU_modified_mix","st wall",10,0.3,0.012,0.0015,0.36558236650486,0.0335549189134318,0.00144208949425923,0.01,0.01,0.01,0.0,0.0,0.0,0.148377716167429,0.0277486623352778,0.000514732496951213,299,299,299 -"317","IAR_LU_modified_mix","st wall",30,0.3,0.012,0.0015,0.308785205390333,0.0165956722196164,0.00151095355032825,0.01,0.01,0.01,0.0,0.0,0.0,0.072535645486854,0.00798484774825925,0.000207239260593192,299,299,299 -"318","IAR_LU_modified_mix","st wall",50,0.3,0.012,0.0015,0.300767315042576,0.0141314102739456,0.00151398764425479,0.01,0.01,0.01,0.0,0.0,0.0,0.0460143131318849,0.00347183699601678,0.000127512452398774,299,299,299 -"319","IAR_LU_modified_mix","st wall",100,0.3,0.012,0.0015,0.29866515126707,0.0127455062410037,0.00150805628363623,0.01,0.01,0.01,0.0,0.0,0.0,0.024654596619276,0.00159193563761587,6.64482208125383e-05,299,299,299 -"320","IAR_LU_modified_mix","st wall",200,0.3,0.012,0.0015,0.29850635433234,0.0122508143217796,0.00150430836509382,0.01,0.01,0.01,0.0,0.0,0.0,0.0128440615061395,0.000753066031083087,3.39695397671074e-05,299,299,299 -"321","IAR_LU_modified_mix","trans lower intestine",10,0.69,0.029,0.00130999999999999,0.701159101129457,0.0376796685724961,0.0012352715721896,0.01,0.01,0.01,0.0,0.0,0.0,0.0838446603479793,0.0142671505976251,0.000698586867626876,299,299,299 -"322","IAR_LU_modified_mix","trans lower intestine",30,0.69,0.029,0.00130999999999999,0.689280990007572,0.0305681351269233,0.00132577267971387,0.01,0.01,0.01,0.0,0.0,0.0,0.0343443420505457,0.00387820063383894,0.000274661368602537,299,299,299 -"323","IAR_LU_modified_mix","trans lower intestine",50,0.69,0.029,0.00130999999999999,0.689093861863916,0.0296110537390212,0.00131644237422315,0.01,0.01,0.01,0.0,0.0,0.0,0.0211285578989318,0.00231649664141576,0.000165651738363466,299,299,299 -"324","IAR_LU_modified_mix","trans lower intestine",100,0.69,0.029,0.00130999999999999,0.689256854677127,0.0291649150740799,0.00131223585918137,0.01,0.01,0.01,0.0,0.0,0.0,0.0106130448865661,0.00118580102346143,8.31630810802384e-05,299,299,299 -"325","IAR_LU_modified_mix","trans lower intestine",200,0.69,0.029,0.00130999999999999,0.689566841080693,0.0290653444493327,0.00131121026637596,0.01,0.01,0.01,0.0,0.0,0.0,0.00531405976841069,0.000594600258522409,4.16230901679743e-05,299,299,299 -"326","IAR_LU_modified_mix","Vein",10,1,0.1,0.00299999999999999,0.933593761897754,0.0981489626394891,9.6152179391423e-05,0.01,0.01,0.01,0.0,0.0,0.0,0.0215254478073352,0.00483459319123489,0.00026949890522783,299,299,299 -"327","IAR_LU_modified_mix","Vein",30,1,0.1,0.00299999999999999,0.978663125675657,0.0989257580393516,0.000105275523399884,0.01,0.01,0.01,0.0,0.0,0.0,0.00717703249976041,0.00256226754822786,0.000389459474472075,299,299,299 -"328","IAR_LU_modified_mix","Vein",50,1,0.1,0.00299999999999999,0.987516401238551,0.0993225357711021,0.000147484971973629,0.01,0.01,0.01,0.0,0.0,0.0,0.00427788573686546,0.00162109623799643,0.000553365867077396,299,299,299 -"329","IAR_LU_modified_mix","Vein",100,1,0.1,0.00299999999999999,0.993794422134329,0.0996324856702317,0.000656466531465015,0.01,0.01,0.01,0.0,0.0,0.0,0.00224062902080407,0.000844759432744937,0.000810756210816362,299,299,299 -"330","IAR_LU_modified_mix","Vein",200,1,0.1,0.00299999999999999,0.996854528450748,0.099808203506191,0.000942189885356755,0.01,0.01,0.01,0.0,0.0,0.0,0.00122018417072544,0.000427560599255016,0.000905192804034703,299,299,299 -"331","IAR_LU_modified_topopro","Artery",10,1,0.1,0.00299999999999999,0.92035647401652,0.125272817406689,0.000181720845862233,0.45,0.45,0.45,0.45,0.45,0.45,0.0224660880281578,0.0244335800895243,0.000580253884890183,299,299,299 -"332","IAR_LU_modified_topopro","Artery",30,1,0.1,0.00299999999999999,0.974303994592552,0.106099273415976,0.000177399153276724,0.45,0.45,0.45,0.45,0.45,0.45,0.00748959242380132,0.00829547642308901,0.000678898057155221,299,299,299 -"333","IAR_LU_modified_topopro","Artery",50,1,0.1,0.00299999999999999,0.984941576733294,0.103360683913922,0.000155910233527451,0.45,0.45,0.45,0.45,0.45,0.45,0.00447576445331793,0.00495498901620435,0.000644239667498075,299,299,299 -"334","IAR_LU_modified_topopro","Artery",100,1,0.1,0.00299999999999999,0.992841729039437,0.101349323826864,0.000128756548459845,0.45,0.45,0.45,0.45,0.45,0.45,0.00221529259008822,0.00248392321748498,0.00059616221943802,299,299,299 -"335","IAR_LU_modified_topopro","Artery",200,1,0.1,0.00299999999999999,0.996733417833381,0.100300500796704,0.000119815898517573,0.45,0.45,0.45,0.45,0.45,0.45,0.00117145725780955,0.0010088312565978,0.000632412135089655,299,299,299 -"336","IAR_LU_modified_topopro","asc lower intestine",10,0.69,0.029,0.00131,0.693578780504134,0.0415355532662142,0.00128103308321534,0.45,0.45,0.45,0.45,0.45,0.45,0.0970509533929983,0.0236823442169324,0.000819226976703706,299,299,299 -"337","IAR_LU_modified_topopro","asc lower intestine",30,0.69,0.029,0.00131,0.687810582166082,0.0307536147510959,0.0013382900074825,0.45,0.45,0.45,0.45,0.45,0.45,0.0353144143147495,0.00435917556566684,0.000286310629098516,299,299,299 -"338","IAR_LU_modified_topopro","asc lower intestine",50,0.69,0.029,0.00131,0.688721295105845,0.0296257289906534,0.00131893797782168,0.45,0.45,0.45,0.45,0.45,0.45,0.0212465084180936,0.00249048940612626,0.000169271398329773,299,299,299 -"339","IAR_LU_modified_topopro","asc lower intestine",100,0.69,0.029,0.00131,0.689845828253077,0.0290894790629384,0.001307501525805,0.45,0.45,0.45,0.45,0.45,0.45,0.0107195144339221,0.00127256025225725,8.483351662592e-05,299,299,299 -"340","IAR_LU_modified_topopro","asc lower intestine",200,0.69,0.029,0.00131,0.689825939977317,0.0290142120213539,0.00130847683836763,0.45,0.45,0.45,0.45,0.45,0.45,0.00555750265488881,0.000601294931615333,4.25435274843115e-05,299,299,299 -"341","IAR_LU_modified_topopro","Blood RA",10,1,0.1,0.00299999999999999,0.92035647401652,0.125272817406689,0.000181720845862233,0.45,0.45,0.45,0.45,0.45,0.45,0.0224660880281578,0.0244335800895243,0.000580253884890183,299,299,299 -"342","IAR_LU_modified_topopro","Blood RA",30,1,0.1,0.00299999999999999,0.974303994592552,0.106099273415976,0.000177399153276724,0.45,0.45,0.45,0.45,0.45,0.45,0.00748959242380132,0.00829547642308901,0.000678898057155221,299,299,299 -"343","IAR_LU_modified_topopro","Blood RA",50,1,0.1,0.00299999999999999,0.984941576733294,0.103360683913922,0.000155910233527451,0.45,0.45,0.45,0.45,0.45,0.45,0.00447576445331793,0.00495498901620435,0.000644239667498075,299,299,299 -"344","IAR_LU_modified_topopro","Blood RA",100,1,0.1,0.00299999999999999,0.992841729039437,0.101349323826864,0.000128756548459845,0.45,0.45,0.45,0.45,0.45,0.45,0.00221529259008822,0.00248392321748498,0.00059616221943802,299,299,299 -"345","IAR_LU_modified_topopro","Blood RA",200,1,0.1,0.00299999999999999,0.996733417833381,0.100300500796704,0.000119815898517573,0.45,0.45,0.45,0.45,0.45,0.45,0.00117145725780955,0.0010088312565978,0.000632412135089655,299,299,299 -"346","IAR_LU_modified_topopro","Blood RV",10,1,0.1,0.003,0.920296650622447,0.125293033588126,0.000183447331029076,0.45,0.45,0.45,0.45,0.45,0.45,0.0226806331224816,0.0244333472528567,0.000584106662250704,299,299,299 -"347","IAR_LU_modified_topopro","Blood RV",30,1,0.1,0.003,0.974303991283049,0.106099273671618,0.000177399100029965,0.45,0.45,0.45,0.45,0.45,0.45,0.00748957829912673,0.00829547736585587,0.000678897095895847,299,299,299 -"348","IAR_LU_modified_topopro","Blood RV",50,1,0.1,0.003,0.984941578599012,0.103360682474306,0.000155910408472978,0.45,0.45,0.45,0.45,0.45,0.45,0.00447576585770208,0.00495498740401099,0.000644237899348858,299,299,299 -"349","IAR_LU_modified_topopro","Blood RV",100,1,0.1,0.003,0.992841726733044,0.101349324599851,0.000128756832432632,0.45,0.45,0.45,0.45,0.45,0.45,0.00221528951841681,0.00248392277283552,0.000596162471686369,299,299,299 -"350","IAR_LU_modified_topopro","Blood RV",200,1,0.1,0.003,0.996733416462042,0.100300501347642,0.000119817129447202,0.45,0.45,0.45,0.45,0.45,0.45,0.00117145369846812,0.00100883159979159,0.000632414305364842,299,299,299 -"351","IAR_LU_modified_topopro","desc lower intestine",10,0.69,0.029,0.00131,0.69353255335075,0.0415612047930334,0.00128569612698868,0.45,0.45,0.45,0.45,0.45,0.45,0.0970827204927868,0.0237638891843294,0.000822921583808708,299,299,299 -"352","IAR_LU_modified_topopro","desc lower intestine",30,0.69,0.029,0.00131,0.687529033131503,0.0307864248323058,0.00133992030563751,0.45,0.45,0.45,0.45,0.45,0.45,0.035340761383201,0.00434360018542071,0.00028557595909565,299,299,299 -"353","IAR_LU_modified_topopro","desc lower intestine",50,0.69,0.029,0.00131,0.688938060964252,0.0296002490456439,0.00131726956556521,0.45,0.45,0.45,0.45,0.45,0.45,0.0212284246706342,0.00247366753913384,0.000167933611102375,299,299,299 -"354","IAR_LU_modified_topopro","desc lower intestine",100,0.69,0.029,0.00131,0.689803781014276,0.0290940234426647,0.00130741787888986,0.45,0.45,0.45,0.45,0.45,0.45,0.0110120008034572,0.00127088911766303,8.45797308420218e-05,299,299,299 -"355","IAR_LU_modified_topopro","desc lower intestine",200,0.69,0.029,0.00131,0.689784230390506,0.0290189623695888,0.00130868523568613,0.45,0.45,0.45,0.45,0.45,0.45,0.00553639486233176,0.000608258415769342,4.23025595359244e-05,299,299,299 -"356","IAR_LU_modified_topopro","esophagus",10,0.32,0.03,0.00167,0.398926936654307,0.0588713252075196,0.00154354861942928,0.45,0.45,0.45,0.45,0.45,0.45,0.124354467094499,0.0476506997030789,0.00052042935473135,299,299,299 -"357","IAR_LU_modified_topopro","esophagus",30,0.32,0.03,0.00167,0.330953766418143,0.036394693060028,0.00167461088683944,0.45,0.45,0.45,0.45,0.45,0.45,0.0399548834681909,0.0156808703863019,0.000161979902816445,299,299,299 -"358","IAR_LU_modified_topopro","esophagus",50,0.32,0.03,0.00167,0.327397496006251,0.0315355376164521,0.00166410503106644,0.45,0.45,0.45,0.45,0.45,0.45,0.0254894333299211,0.00717453365690831,9.86566930375474e-05,299,299,299 -"359","IAR_LU_modified_topopro","esophagus",100,0.32,0.03,0.00167,0.32226703944526,0.0301401289644474,0.00166634357788452,0.45,0.45,0.45,0.45,0.45,0.45,0.0136834762062218,0.00246460643082146,4.88671769751842e-05,299,299,299 -"360","IAR_LU_modified_topopro","esophagus",200,0.32,0.03,0.00167,0.320331698272811,0.0300252034037337,0.00166847809014597,0.45,0.45,0.45,0.45,0.45,0.45,0.00704808997232578,0.0012203287948119,2.40862938809799e-05,299,299,299 -"361","IAR_LU_modified_topopro","esophagus cont",10,0.32,0.03,0.00167,0.398926936654307,0.0588713252075196,0.00154354861942928,0.45,0.45,0.45,0.45,0.45,0.45,0.124354467094499,0.0476506997030789,0.00052042935473135,299,299,299 -"362","IAR_LU_modified_topopro","esophagus cont",30,0.32,0.03,0.00167,0.330953766418143,0.036394693060028,0.00167461088683944,0.45,0.45,0.45,0.45,0.45,0.45,0.0399548834681909,0.0156808703863019,0.000161979902816445,299,299,299 -"363","IAR_LU_modified_topopro","esophagus cont",50,0.32,0.03,0.00167,0.327397496006251,0.0315355376164521,0.00166410503106644,0.45,0.45,0.45,0.45,0.45,0.45,0.0254894333299211,0.00717453365690831,9.86566930375474e-05,299,299,299 -"364","IAR_LU_modified_topopro","esophagus cont",100,0.32,0.03,0.00167,0.32226703944526,0.0301401289644474,0.00166634357788452,0.45,0.45,0.45,0.45,0.45,0.45,0.0136834762062218,0.00246460643082146,4.88671769751842e-05,299,299,299 -"365","IAR_LU_modified_topopro","esophagus cont",200,0.32,0.03,0.00167,0.320331698272811,0.0300252034037337,0.00166847809014597,0.45,0.45,0.45,0.45,0.45,0.45,0.00704808997232578,0.0012203287948119,2.40862938809799e-05,299,299,299 -"366","IAR_LU_modified_topopro","Left kidney cortex",10,0.097,0.02,0.00212,0.275879760198796,0.0642623588071875,0.00181750745642748,0.45,0.45,0.45,0.45,0.45,0.45,0.185636096903067,0.0619577607804464,0.000603294190070171,299,299,299 -"367","IAR_LU_modified_topopro","Left kidney cortex",30,0.097,0.02,0.00212,0.159436749159631,0.0469348105973253,0.00203288915442743,0.45,0.45,0.45,0.45,0.45,0.45,0.100142398233387,0.0483836039095357,0.000246305038835589,299,299,299 -"368","IAR_LU_modified_topopro","Left kidney cortex",50,0.097,0.02,0.00212,0.125434307488605,0.0365494965007194,0.00207999886787401,0.45,0.45,0.45,0.45,0.45,0.45,0.0654540852835635,0.0346957474108831,0.000143494536008623,299,299,299 -"369","IAR_LU_modified_topopro","Left kidney cortex",100,0.097,0.02,0.00212,0.105310501866794,0.0241322303399197,0.00211013177332686,0.45,0.45,0.45,0.45,0.45,0.45,0.0231278340590651,0.0133327959130772,6.11226472762704e-05,299,299,299 -"370","IAR_LU_modified_topopro","Left kidney cortex",200,0.097,0.02,0.00212,0.100113058380308,0.0204321790737277,0.00211637119224563,0.45,0.45,0.45,0.45,0.45,0.45,0.0114321842012663,0.00367880504189419,2.87545709742803e-05,299,299,299 -"371","IAR_LU_modified_topopro","left kidney medulla",10,0.158,0.019,0.00209,0.318917416065618,0.0621095618305791,0.00178860003008236,0.45,0.45,0.45,0.45,0.45,0.45,0.189533101093446,0.0605375761371206,0.000660410162191124,299,299,299 -"372","IAR_LU_modified_topopro","left kidney medulla",30,0.158,0.019,0.00209,0.190749445565337,0.0372477326924959,0.00205053039921333,0.45,0.45,0.45,0.45,0.45,0.45,0.0808031451501109,0.0349133393996595,0.000222453870555396,299,299,299 -"373","IAR_LU_modified_topopro","left kidney medulla",50,0.158,0.019,0.00209,0.169372881342249,0.0278857998036769,0.00208326297404402,0.45,0.45,0.45,0.45,0.45,0.45,0.0433670931193238,0.0211177357401279,0.000122938979359554,299,299,299 -"374","IAR_LU_modified_topopro","left kidney medulla",100,0.158,0.019,0.00209,0.162374703281902,0.0207809712688809,0.0020894910923204,0.45,0.45,0.45,0.45,0.45,0.45,0.0230383307862557,0.005620650702712,6.52475984704075e-05,299,299,299 -"375","IAR_LU_modified_topopro","left kidney medulla",200,0.158,0.019,0.00209,0.159988751798143,0.0191680232180677,0.00208790626332965,0.45,0.45,0.45,0.45,0.45,0.45,0.0118001572678388,0.00212506778893592,3.1957301785576e-05,299,299,299 -"376","IAR_LU_modified_topopro","Liver",10,0.11,0.1,0.0015,0.255827144238669,0.0957949328224053,0.00130092643991093,0.45,0.45,0.45,0.45,0.45,0.45,0.133644073612816,0.0684386590799032,0.000379476628758943,299,299,299 -"377","IAR_LU_modified_topopro","Liver",30,0.11,0.1,0.0015,0.133802596180871,0.121405497015874,0.00147252862365529,0.45,0.45,0.45,0.45,0.45,0.45,0.0323313786170407,0.0504511851101522,8.92081827197948e-05,299,299,299 -"378","IAR_LU_modified_topopro","Liver",50,0.11,0.1,0.0015,0.118729927642186,0.11773946935276,0.00148881545258651,0.45,0.45,0.45,0.45,0.45,0.45,0.0167411687834778,0.0426333639052342,4.73600868068698e-05,299,299,299 -"379","IAR_LU_modified_topopro","Liver",100,0.11,0.1,0.0015,0.112266606855168,0.105433216396753,0.00149419894599423,0.45,0.45,0.45,0.45,0.45,0.45,0.00902108432024771,0.030662316383553,2.42747200177698e-05,299,299,299 -"380","IAR_LU_modified_topopro","Liver",200,0.11,0.1,0.0015,0.110995126491855,0.0973924440504551,0.00149623920986603,0.45,0.45,0.45,0.45,0.45,0.45,0.00518590399827883,0.0106183419451747,1.20619999134246e-05,299,299,299 -"381","IAR_LU_modified_topopro","Myocardium LV",10,0.15,0.08,0.0024,0.306954852656124,0.0943009987827146,0.00202784262785305,0.45,0.45,0.45,0.45,0.45,0.45,0.165573396841783,0.065781153268606,0.000643267096890125,299,299,299 -"382","IAR_LU_modified_topopro","Myocardium LV",30,0.15,0.08,0.0024,0.169757489610859,0.10488807783077,0.00236635931265902,0.45,0.45,0.45,0.45,0.45,0.45,0.0385001014665415,0.0467473435871219,0.000156089122595165,299,299,299 -"383","IAR_LU_modified_topopro","Myocardium LV",50,0.15,0.08,0.0024,0.157582473207419,0.0909293847910689,0.00238707119337443,0.45,0.45,0.45,0.45,0.45,0.45,0.0195579333675529,0.0339628137746176,8.62803715047694e-05,299,299,299 -"384","IAR_LU_modified_topopro","Myocardium LV",100,0.15,0.08,0.0024,0.151716774259533,0.0816144176516515,0.002396175011365,0.45,0.45,0.45,0.45,0.45,0.45,0.0104863901246036,0.0157070807330071,4.33034596143587e-05,299,299,299 -"385","IAR_LU_modified_topopro","Myocardium LV",200,0.15,0.08,0.0024,0.150182177448741,0.0804860661827032,0.0023987486740328,0.45,0.45,0.45,0.45,0.45,0.45,0.00550732604342893,0.00694404313739923,2.18581503502004e-05,299,299,299 -"386","IAR_LU_modified_topopro","myocardium ra",10,0.07,0.07,0.0015,0.233345797803224,0.0758206228669585,0.00130187536524909,0.45,0.45,0.45,0.45,0.45,0.45,0.133957644380287,0.066388571559589,0.000363650445363682,299,299,299 -"387","IAR_LU_modified_topopro","myocardium ra",30,0.07,0.07,0.0015,0.108856126532739,0.0964456670697446,0.0014567334689066,0.45,0.45,0.45,0.45,0.45,0.45,0.0440157368882964,0.0596090389915254,0.000103224107835832,299,299,299 -"388","IAR_LU_modified_topopro","myocardium ra",50,0.07,0.07,0.0015,0.0854880561907263,0.0973144944749237,0.00148281482291791,0.45,0.45,0.45,0.45,0.45,0.45,0.0207373834323344,0.0497994361924948,5.42735308861248e-05,299,299,299 -"389","IAR_LU_modified_topopro","myocardium ra",100,0.07,0.07,0.0015,0.0745374604485976,0.0807036222064792,0.00149478405306962,0.45,0.45,0.45,0.45,0.45,0.45,0.00997544057913432,0.0315117637210663,2.58398414525695e-05,299,299,299 -"390","IAR_LU_modified_topopro","myocardium ra",200,0.07,0.07,0.0015,0.070924223444913,0.0715684911066608,0.00149809258018433,0.45,0.45,0.45,0.45,0.45,0.45,0.00539980707410929,0.0133990279370298,1.28312643370667e-05,299,299,299 -"391","IAR_LU_modified_topopro","myocardium RV",10,0.15,0.08,0.0024,0.306954852656124,0.0943009987827146,0.00202784262785305,0.45,0.45,0.45,0.45,0.45,0.45,0.165573396841783,0.065781153268606,0.000643267096890125,299,299,299 -"392","IAR_LU_modified_topopro","myocardium RV",30,0.15,0.08,0.0024,0.169757489610859,0.10488807783077,0.00236635931265902,0.45,0.45,0.45,0.45,0.45,0.45,0.0385001014665415,0.0467473435871219,0.000156089122595165,299,299,299 -"393","IAR_LU_modified_topopro","myocardium RV",50,0.15,0.08,0.0024,0.157582473207419,0.0909293847910689,0.00238707119337443,0.45,0.45,0.45,0.45,0.45,0.45,0.0195579333675529,0.0339628137746176,8.62803715047694e-05,299,299,299 -"394","IAR_LU_modified_topopro","myocardium RV",100,0.15,0.08,0.0024,0.151716774259533,0.0816144176516515,0.002396175011365,0.45,0.45,0.45,0.45,0.45,0.45,0.0104863901246036,0.0157070807330071,4.33034596143587e-05,299,299,299 -"395","IAR_LU_modified_topopro","myocardium RV",200,0.15,0.08,0.0024,0.150182177448741,0.0804860661827032,0.0023987486740328,0.45,0.45,0.45,0.45,0.45,0.45,0.00550732604342893,0.00694404313739923,2.18581503502004e-05,299,299,299 -"396","IAR_LU_modified_topopro","pancreas",10,0.15,0.01,0.00129999999999999,0.280147618787791,0.0550963471623122,0.00116554559543274,0.45,0.45,0.45,0.45,0.45,0.45,0.154200671687761,0.0601150850496964,0.000411333431647301,299,299,299 -"397","IAR_LU_modified_topopro","pancreas",30,0.15,0.01,0.00129999999999999,0.180292442524659,0.0283670218235359,0.00128220682523432,0.45,0.45,0.45,0.45,0.45,0.45,0.0758183523997101,0.0373025951640522,0.000154889895612203,299,299,299 -"398","IAR_LU_modified_topopro","pancreas",50,0.15,0.01,0.00129999999999999,0.160883491285031,0.0172849139656884,0.00130037131461184,0.45,0.45,0.45,0.45,0.45,0.45,0.0520817767720244,0.0152607616127078,0.000103316331968376,299,299,299 -"399","IAR_LU_modified_topopro","pancreas",100,0.15,0.01,0.00129999999999999,0.154976949063361,0.0120069271284118,0.00129977292515898,0.45,0.45,0.45,0.45,0.45,0.45,0.0334646725252195,0.00446344579568468,6.40649593388859e-05,299,299,299 -"400","IAR_LU_modified_topopro","pancreas",200,0.15,0.01,0.00129999999999999,0.155286959430167,0.0101428890293175,0.00129270742735421,0.45,0.45,0.45,0.45,0.45,0.45,0.0172333080337744,0.00153439739326154,3.24157917287038e-05,299,299,299 -"401","IAR_LU_modified_topopro","pericardium",10,0.07,0.00999999999999999,0.003,0.304246595967149,0.0630491156685354,0.00235482700518371,0.45,0.45,0.45,0.45,0.45,0.45,0.260685324735516,0.0637178985095701,0.000993597879656733,299,299,299 -"402","IAR_LU_modified_topopro","pericardium",30,0.07,0.00999999999999999,0.003,0.176641493642551,0.0520279343575831,0.0028348649822054,0.45,0.45,0.45,0.45,0.45,0.45,0.207967296454401,0.0596888181268739,0.000571521838568284,299,299,299 -"403","IAR_LU_modified_topopro","pericardium",50,0.07,0.00999999999999999,0.003,0.146227380203304,0.042647287703342,0.00291329895112631,0.45,0.45,0.45,0.45,0.45,0.45,0.159901072514046,0.0522232847404345,0.000369579678167213,299,299,299 -"404","IAR_LU_modified_topopro","pericardium",100,0.07,0.00999999999999999,0.003,0.137535248314898,0.0274694017620213,0.0029193188543007,0.45,0.45,0.45,0.45,0.45,0.45,0.131305938197915,0.0405847885689576,0.000236989816000259,299,299,299 -"405","IAR_LU_modified_topopro","pericardium",200,0.07,0.00999999999999999,0.003,0.106876601462374,0.0141821859583173,0.00295175861415913,0.45,0.45,0.45,0.45,0.45,0.45,0.0866370026871013,0.0154683273621364,0.000137465282729351,299,299,299 -"406","IAR_LU_modified_topopro","right kidney medulla",10,0.158,0.019,0.00209,0.318917416065618,0.0621095618305791,0.00178860003008236,0.45,0.45,0.45,0.45,0.45,0.45,0.189533101093446,0.0605375761371206,0.000660410162191124,299,299,299 -"407","IAR_LU_modified_topopro","right kidney medulla",30,0.158,0.019,0.00209,0.190749445565337,0.0372477326924959,0.00205053039921333,0.45,0.45,0.45,0.45,0.45,0.45,0.0808031451501109,0.0349133393996595,0.000222453870555396,299,299,299 -"408","IAR_LU_modified_topopro","right kidney medulla",50,0.158,0.019,0.00209,0.169372881342249,0.0278857998036769,0.00208326297404402,0.45,0.45,0.45,0.45,0.45,0.45,0.0433670931193238,0.0211177357401279,0.000122938979359554,299,299,299 -"409","IAR_LU_modified_topopro","right kidney medulla",100,0.158,0.019,0.00209,0.162374703281902,0.0207809712688809,0.0020894910923204,0.45,0.45,0.45,0.45,0.45,0.45,0.0230383307862557,0.005620650702712,6.52475984704075e-05,299,299,299 -"410","IAR_LU_modified_topopro","right kidney medulla",200,0.158,0.019,0.00209,0.159988751798143,0.0191680232180677,0.00208790626332965,0.45,0.45,0.45,0.45,0.45,0.45,0.0118001572678388,0.00212506778893592,3.1957301785576e-05,299,299,299 -"411","IAR_LU_modified_topopro","Right kydney cortex",10,0.097,0.02,0.00212,0.275879760198796,0.0642623588071875,0.00181750745642748,0.45,0.45,0.45,0.45,0.45,0.45,0.185636096903067,0.0619577607804464,0.000603294190070171,299,299,299 -"412","IAR_LU_modified_topopro","Right kydney cortex",30,0.097,0.02,0.00212,0.159436749159631,0.0469348105973253,0.00203288915442743,0.45,0.45,0.45,0.45,0.45,0.45,0.100142398233387,0.0483836039095357,0.000246305038835589,299,299,299 -"413","IAR_LU_modified_topopro","Right kydney cortex",50,0.097,0.02,0.00212,0.125434307488605,0.0365494965007194,0.00207999886787401,0.45,0.45,0.45,0.45,0.45,0.45,0.0654540852835635,0.0346957474108831,0.000143494536008623,299,299,299 -"414","IAR_LU_modified_topopro","Right kydney cortex",100,0.097,0.02,0.00212,0.105310501866794,0.0241322303399197,0.00211013177332686,0.45,0.45,0.45,0.45,0.45,0.45,0.0231278340590651,0.0133327959130772,6.11226472762704e-05,299,299,299 -"415","IAR_LU_modified_topopro","Right kydney cortex",200,0.097,0.02,0.00212,0.100113058380308,0.0204321790737277,0.00211637119224563,0.45,0.45,0.45,0.45,0.45,0.45,0.0114321842012663,0.00367880504189419,2.87545709742803e-05,299,299,299 -"416","IAR_LU_modified_topopro","small intestine",10,0.69,0.029,0.00131,0.694262245048376,0.041376031786243,0.00127575746503216,0.45,0.45,0.45,0.45,0.45,0.45,0.0967837138191552,0.0233612728169214,0.000821652336598365,299,299,299 -"417","IAR_LU_modified_topopro","small intestine",30,0.69,0.029,0.00131,0.687722331121821,0.0307580006808991,0.00134021784981736,0.45,0.45,0.45,0.45,0.45,0.45,0.0351426096506969,0.00435469175637002,0.000284059232762604,299,299,299 -"418","IAR_LU_modified_topopro","small intestine",50,0.69,0.029,0.00131,0.68908448667331,0.0295719444686926,0.00131656193442396,0.45,0.45,0.45,0.45,0.45,0.45,0.0214793767768495,0.00247568869798116,0.000168319670616108,299,299,299 -"419","IAR_LU_modified_topopro","small intestine",100,0.69,0.029,0.00131,0.689765613332017,0.0290940329273443,0.00130808320972436,0.45,0.45,0.45,0.45,0.45,0.45,0.0109523316691925,0.00123761959754598,8.5316967356735e-05,299,299,299 -"420","IAR_LU_modified_topopro","small intestine",200,0.69,0.029,0.00131,0.689905499433019,0.0290056437597644,0.00130824381017983,0.45,0.45,0.45,0.45,0.45,0.45,0.00544972908667523,0.000598861686247944,4.18259481209846e-05,299,299,299 -"421","IAR_LU_modified_topopro","spleen",10,0.2,0.03,0.00129999999999999,0.319868006115112,0.063392313341736,0.00114701986395022,0.45,0.45,0.45,0.45,0.45,0.45,0.127028194828194,0.0542166947340963,0.000388299783289906,299,299,299 -"422","IAR_LU_modified_topopro","spleen",30,0.2,0.03,0.00129999999999999,0.215360997563175,0.0442606501281254,0.00130354720611688,0.45,0.45,0.45,0.45,0.45,0.45,0.0365624032335726,0.0261446003020259,0.000105551124736129,299,299,299 -"423","IAR_LU_modified_topopro","spleen",50,0.2,0.03,0.00129999999999999,0.208856498625777,0.0349379828827892,0.00129997254980305,0.45,0.45,0.45,0.45,0.45,0.45,0.0232436380421739,0.0134864153624437,6.61171024217637e-05,299,299,299 -"424","IAR_LU_modified_topopro","spleen",100,0.2,0.03,0.00129999999999999,0.204200673121755,0.0304239196137196,0.00129577459955986,0.45,0.45,0.45,0.45,0.45,0.45,0.0129647113395538,0.00465726530553315,3.35882997092888e-05,299,299,299 -"425","IAR_LU_modified_topopro","spleen",200,0.2,0.03,0.00129999999999999,0.200822327913181,0.0300525395093674,0.00129839806116424,0.45,0.45,0.45,0.45,0.45,0.45,0.00653017924354621,0.00186535860535101,1.63191536785758e-05,299,299,299 -"426","IAR_LU_modified_topopro","st wall",10,0.3,0.012,0.0015,0.398249536075877,0.0414327592705561,0.0013308464645949,0.45,0.45,0.45,0.45,0.45,0.45,0.179875566567662,0.0488900917459887,0.000607086675688919,299,299,299 -"427","IAR_LU_modified_topopro","st wall",30,0.3,0.012,0.0015,0.304981866410044,0.019062815360902,0.00152406395152592,0.45,0.45,0.45,0.45,0.45,0.45,0.0863985064932302,0.0159978388575776,0.000239113806683646,299,299,299 -"428","IAR_LU_modified_topopro","st wall",50,0.3,0.012,0.0015,0.303869758313058,0.0142369519703813,0.00151399551647258,0.45,0.45,0.45,0.45,0.45,0.45,0.05621027771121,0.00488788692716998,0.000149801012378724,299,299,299 -"429","IAR_LU_modified_topopro","st wall",100,0.3,0.012,0.0015,0.305112114866144,0.0122592880475803,0.00149760569421531,0.45,0.45,0.45,0.45,0.45,0.45,0.0273933903749877,0.00163482678247482,7.13546414172466e-05,299,299,299 -"430","IAR_LU_modified_topopro","st wall",200,0.3,0.012,0.0015,0.301896746555565,0.0120195655148351,0.00149805858945093,0.45,0.45,0.45,0.45,0.45,0.45,0.0139779415391202,0.000700939984225378,3.50081487540217e-05,299,299,299 -"431","IAR_LU_modified_topopro","trans lower intestine",10,0.69,0.029,0.00130999999999999,0.693178885237798,0.0415791676918557,0.0012877057786336,0.45,0.45,0.45,0.45,0.45,0.45,0.0968563027027587,0.0237449984222352,0.000825061448241474,299,299,299 -"432","IAR_LU_modified_topopro","trans lower intestine",30,0.69,0.029,0.00130999999999999,0.687355419209049,0.0307945973352347,0.00134083836319301,0.45,0.45,0.45,0.45,0.45,0.45,0.0346999752926432,0.00430590939666401,0.000281486176019419,299,299,299 -"433","IAR_LU_modified_topopro","trans lower intestine",50,0.69,0.029,0.00130999999999999,0.688922163392087,0.0295911195710815,0.00131794686365502,0.45,0.45,0.45,0.45,0.45,0.45,0.0211777668762992,0.0024591080293894,0.000167887957689605,299,299,299 -"434","IAR_LU_modified_topopro","trans lower intestine",100,0.69,0.029,0.00130999999999999,0.689976252210824,0.0290643775264531,0.00130712971409723,0.45,0.45,0.45,0.45,0.45,0.45,0.0111596605740458,0.00127230067708064,8.6055448007924e-05,299,299,299 -"435","IAR_LU_modified_topopro","trans lower intestine",200,0.69,0.029,0.00130999999999999,0.689888170406535,0.0290018785916859,0.00130847256340122,0.45,0.45,0.45,0.45,0.45,0.45,0.00546502050565497,0.000593775344251464,4.23249708031501e-05,299,299,299 -"436","IAR_LU_modified_topopro","Vein",10,1,0.1,0.00299999999999999,0.920340948544868,0.125267602952588,0.000182829755987327,0.45,0.45,0.45,0.45,0.45,0.45,0.0225948248460019,0.0244450623949952,0.000583405196732458,299,299,299 -"437","IAR_LU_modified_topopro","Vein",30,1,0.1,0.00299999999999999,0.974304007878179,0.106099271208312,0.00017739920965156,0.45,0.45,0.45,0.45,0.45,0.45,0.0074896310418671,0.00829547616520967,0.000678898150509279,299,299,299 -"438","IAR_LU_modified_topopro","Vein",50,1,0.1,0.00299999999999999,0.984941554598225,0.103360680622716,0.000155910848324994,0.45,0.45,0.45,0.45,0.45,0.45,0.00447571056831266,0.00495498786932744,0.000644242026928185,299,299,299 -"439","IAR_LU_modified_topopro","Vein",100,1,0.1,0.00299999999999999,0.992841725680271,0.101349324298109,0.000128757028592843,0.45,0.45,0.45,0.45,0.45,0.45,0.00221528819623711,0.0024839226995908,0.000596162110415501,299,299,299 -"440","IAR_LU_modified_topopro","Vein",200,1,0.1,0.00299999999999999,0.996733416187604,0.100300502391623,0.000119817078027757,0.45,0.45,0.45,0.45,0.45,0.45,0.00117146069783939,0.00100883111028152,0.000632413732960071,299,299,299 -"441","IAR_LU_segmented_2step","Artery",10,1,0.1,0.00299999999999999,0.921258294041451,0.0983174229518652,0.000602377539349993,0.45,0.45,0.45,0.45,0.45,0.45,0.0258235599804078,0.00488173576584753,0.000954240122983693,299,299,299 -"442","IAR_LU_segmented_2step","Artery",30,1,0.1,0.00299999999999999,0.976019933219864,0.0994829647762301,0.00060239305244365,0.45,0.45,0.45,0.45,0.45,0.45,0.00833101268219634,0.00160385964996264,0.000954268289514292,299,299,299 -"443","IAR_LU_segmented_2step","Artery",50,1,0.1,0.00299999999999999,0.98599487225535,0.0996813109863689,0.000602405603200741,0.45,0.45,0.45,0.45,0.45,0.45,0.00494309800733521,0.000986358091235049,0.000954266532348308,299,299,299 -"444","IAR_LU_segmented_2step","Artery",100,1,0.1,0.00299999999999999,0.993268900338893,0.0998299735833625,0.000602442811986694,0.45,0.45,0.45,0.45,0.45,0.45,0.00241285763280533,0.000513921040446995,0.000954286483399826,299,299,299 -"445","IAR_LU_segmented_2step","Artery",200,1,0.1,0.00299999999999999,0.996782474408809,0.0999083722402424,0.000602417326124585,0.45,0.45,0.45,0.45,0.45,0.45,0.00119135923054532,0.000267557047285326,0.000954060412685357,299,299,299 -"446","IAR_LU_segmented_2step","asc lower intestine",10,0.69,0.029,0.00131,0.690373035820094,0.0320610845759972,0.00128397090175435,0.45,0.45,0.45,0.45,0.45,0.45,0.111830765201228,0.0149363990134043,0.0010310750352814,299,299,299 -"447","IAR_LU_segmented_2step","asc lower intestine",30,0.69,0.029,0.00131,0.688190385607032,0.0294222676858039,0.00132700874616123,0.45,0.45,0.45,0.45,0.45,0.45,0.0448734637691971,0.00411936458229695,0.000393814792063893,299,299,299 -"448","IAR_LU_segmented_2step","asc lower intestine",50,0.69,0.029,0.00131,0.688983137072148,0.0291736871195673,0.00131674147785283,0.45,0.45,0.45,0.45,0.45,0.45,0.0269406505113919,0.00243185752511053,0.000231513954749497,299,299,299 -"449","IAR_LU_segmented_2step","asc lower intestine",100,0.69,0.029,0.00131,0.689404252989227,0.029066163092573,0.00131311787679812,0.45,0.45,0.45,0.45,0.45,0.45,0.0134745367049808,0.00120919315577138,0.000114727932084214,299,299,299 -"450","IAR_LU_segmented_2step","asc lower intestine",200,0.69,0.029,0.00131,0.689565491171274,0.0290364333672251,0.00131259560662869,0.45,0.45,0.45,0.45,0.45,0.45,0.00673757581944161,0.000603840898929335,5.72226395519967e-05,299,299,299 -"451","IAR_LU_segmented_2step","Blood RA",10,1,0.1,0.00299999999999999,0.921258294041451,0.0983174229518652,0.000602377539349993,0.45,0.45,0.45,0.45,0.45,0.45,0.0258235599804078,0.00488173576584753,0.000954240122983693,299,299,299 -"452","IAR_LU_segmented_2step","Blood RA",30,1,0.1,0.00299999999999999,0.976019933219864,0.0994829647762301,0.00060239305244365,0.45,0.45,0.45,0.45,0.45,0.45,0.00833101268219634,0.00160385964996264,0.000954268289514292,299,299,299 -"453","IAR_LU_segmented_2step","Blood RA",50,1,0.1,0.00299999999999999,0.98599487225535,0.0996813109863689,0.000602405603200741,0.45,0.45,0.45,0.45,0.45,0.45,0.00494309800733521,0.000986358091235049,0.000954266532348308,299,299,299 -"454","IAR_LU_segmented_2step","Blood RA",100,1,0.1,0.00299999999999999,0.993268900338893,0.0998299735833625,0.000602442811986694,0.45,0.45,0.45,0.45,0.45,0.45,0.00241285763280533,0.000513921040446995,0.000954286483399826,299,299,299 -"455","IAR_LU_segmented_2step","Blood RA",200,1,0.1,0.00299999999999999,0.996782474408809,0.0999083722402424,0.000602417326124585,0.45,0.45,0.45,0.45,0.45,0.45,0.00119135923054532,0.000267557047285326,0.000954060412685357,299,299,299 -"456","IAR_LU_segmented_2step","Blood RV",10,1,0.1,0.003,0.921258294005175,0.0983174229498556,0.000602377539314825,0.45,0.45,0.45,0.45,0.45,0.45,0.0258235599273312,0.0048817357689704,0.000954240122896554,299,299,299 -"457","IAR_LU_segmented_2step","Blood RV",30,1,0.1,0.003,0.976019933224227,0.0994829647759296,0.000602393052438452,0.45,0.45,0.45,0.45,0.45,0.45,0.0083310126686943,0.0016038596496585,0.000954268289514534,299,299,299 -"458","IAR_LU_segmented_2step","Blood RV",50,1,0.1,0.003,0.985994872256549,0.0996813109859528,0.000602405603200741,0.45,0.45,0.45,0.45,0.45,0.45,0.00494309801013262,0.000986358092526008,0.000954266532348308,299,299,299 -"459","IAR_LU_segmented_2step","Blood RV",100,1,0.1,0.003,0.993268900338895,0.0998299735833862,0.000602442811986694,0.45,0.45,0.45,0.45,0.45,0.45,0.00241285763266283,0.00051392104017594,0.000954286483399826,299,299,299 -"460","IAR_LU_segmented_2step","Blood RV",200,1,0.1,0.003,0.996782474408774,0.0999083722401707,0.000602417326124585,0.45,0.45,0.45,0.45,0.45,0.45,0.00119135923032626,0.000267557047652887,0.000954060412685357,299,299,299 -"461","IAR_LU_segmented_2step","desc lower intestine",10,0.69,0.029,0.00131,0.690373037187929,0.032061084511974,0.0012839709016351,0.45,0.45,0.45,0.45,0.45,0.45,0.111830764423804,0.0149363990086909,0.0010310750351664,299,299,299 -"462","IAR_LU_segmented_2step","desc lower intestine",30,0.69,0.029,0.00131,0.688190385604399,0.0294222676864886,0.00132700874615634,0.45,0.45,0.45,0.45,0.45,0.45,0.0448734637614442,0.00411936458331029,0.000393814791852722,299,299,299 -"463","IAR_LU_segmented_2step","desc lower intestine",50,0.69,0.029,0.00131,0.688983137070003,0.0291736871196476,0.00131674147781799,0.45,0.45,0.45,0.45,0.45,0.45,0.0269406505267064,0.00243185752517155,0.000231513954746746,299,299,299 -"464","IAR_LU_segmented_2step","desc lower intestine",100,0.69,0.029,0.00131,0.689404252988794,0.0290661630927041,0.00131311787679321,0.45,0.45,0.45,0.45,0.45,0.45,0.0134745367105457,0.00120919315606283,0.0001147279321005,299,299,299 -"465","IAR_LU_segmented_2step","desc lower intestine",200,0.69,0.029,0.00131,0.689565491168261,0.0290364333673394,0.00131259560662137,0.45,0.45,0.45,0.45,0.45,0.45,0.00673757582228583,0.000603840898965895,5.72226395589749e-05,299,299,299 -"466","IAR_LU_segmented_2step","esophagus",10,0.32,0.03,0.00167,0.340586263973398,0.0395260493762899,0.00169537630410881,0.45,0.45,0.45,0.45,0.45,0.45,0.144394990192821,0.0289361367063141,0.000699310473838228,299,299,299 -"467","IAR_LU_segmented_2step","esophagus",30,0.32,0.03,0.00167,0.321987926674666,0.0319222091970032,0.00167589442416234,0.45,0.45,0.45,0.45,0.45,0.45,0.0506566204651877,0.0111320504680191,0.000225181332906699,299,299,299 -"468","IAR_LU_segmented_2step","esophagus",50,0.32,0.03,0.00167,0.320433792735222,0.0306484294173753,0.00167205798914533,0.45,0.45,0.45,0.45,0.45,0.45,0.030400652601224,0.00593603846174356,0.000134201428225459,299,299,299 -"469","IAR_LU_segmented_2step","esophagus",100,0.32,0.03,0.00167,0.319848880176539,0.03018634984756,0.00167069900564771,0.45,0.45,0.45,0.45,0.45,0.45,0.0151616073789282,0.00289360407093111,6.69010973810829e-05,299,299,299 -"470","IAR_LU_segmented_2step","esophagus",200,0.32,0.03,0.00167,0.319780244452183,0.0300697046349972,0.00167049624614464,0.45,0.45,0.45,0.45,0.45,0.45,0.00757222827911344,0.00144131399200067,3.34227716805246e-05,299,299,299 -"471","IAR_LU_segmented_2step","esophagus cont",10,0.32,0.03,0.00167,0.340586263973398,0.0395260493762899,0.00169537630410881,0.45,0.45,0.45,0.45,0.45,0.45,0.144394990192821,0.0289361367063141,0.000699310473838228,299,299,299 -"472","IAR_LU_segmented_2step","esophagus cont",30,0.32,0.03,0.00167,0.321987926674666,0.0319222091970032,0.00167589442416234,0.45,0.45,0.45,0.45,0.45,0.45,0.0506566204651877,0.0111320504680191,0.000225181332906699,299,299,299 -"473","IAR_LU_segmented_2step","esophagus cont",50,0.32,0.03,0.00167,0.320433792735222,0.0306484294173753,0.00167205798914533,0.45,0.45,0.45,0.45,0.45,0.45,0.030400652601224,0.00593603846174356,0.000134201428225459,299,299,299 -"474","IAR_LU_segmented_2step","esophagus cont",100,0.32,0.03,0.00167,0.319848880176539,0.03018634984756,0.00167069900564771,0.45,0.45,0.45,0.45,0.45,0.45,0.0151616073789282,0.00289360407093111,6.69010973810829e-05,299,299,299 -"475","IAR_LU_segmented_2step","esophagus cont",200,0.32,0.03,0.00167,0.319780244452183,0.0300697046349972,0.00167049624614464,0.45,0.45,0.45,0.45,0.45,0.45,0.00757222827911344,0.00144131399200067,3.34227716805246e-05,299,299,299 -"476","IAR_LU_segmented_2step","Left kidney cortex",10,0.097,0.02,0.00212,0.170083391326229,0.0362607784128459,0.00214004719496282,0.45,0.45,0.45,0.45,0.45,0.45,0.168104195513681,0.0383928312387471,0.000693964401384033,299,299,299 -"477","IAR_LU_segmented_2step","Left kidney cortex",30,0.097,0.02,0.00212,0.112526750081267,0.0324422518181432,0.0021297407037008,0.45,0.45,0.45,0.45,0.45,0.45,0.071762920718918,0.0299939350792029,0.000230468547854172,299,299,299 -"478","IAR_LU_segmented_2step","Left kidney cortex",50,0.097,0.02,0.00212,0.10294341594501,0.0276749873194382,0.00212486470550974,0.45,0.45,0.45,0.45,0.45,0.45,0.0445721609688734,0.0223523515043956,0.000137434850582313,299,299,299 -"479","IAR_LU_segmented_2step","Left kidney cortex",100,0.097,0.02,0.00212,0.0979365844202808,0.0222618598591827,0.00212288817087808,0.45,0.45,0.45,0.45,0.45,0.45,0.0226855112845619,0.0094189431786872,6.85394294758574e-05,299,299,299 -"480","IAR_LU_segmented_2step","Left kidney cortex",200,0.097,0.02,0.00212,0.0965888281696063,0.0206966235189306,0.00212243012687663,0.45,0.45,0.45,0.45,0.45,0.45,0.0113984606619312,0.003773564449597,3.42474968787025e-05,299,299,299 -"481","IAR_LU_segmented_2step","left kidney medulla",10,0.158,0.019,0.00209,0.214897364750887,0.0349323808857953,0.00210934037383571,0.45,0.45,0.45,0.45,0.45,0.45,0.176570100929705,0.0357038663180629,0.000728386366312476,299,299,299 -"482","IAR_LU_segmented_2step","left kidney medulla",30,0.158,0.019,0.00209,0.1657109940179,0.0270906706245067,0.00210327080298252,0.45,0.45,0.45,0.45,0.45,0.45,0.0725100593788847,0.0225768947405185,0.000242646564228503,299,299,299 -"483","IAR_LU_segmented_2step","left kidney medulla",50,0.158,0.019,0.00209,0.159840360106385,0.0226243076257691,0.00209789750114162,0.45,0.45,0.45,0.45,0.45,0.45,0.0449934074887979,0.0129995305341982,0.000144591388188289,299,299,299 -"484","IAR_LU_segmented_2step","left kidney medulla",100,0.158,0.019,0.00209,0.157128036252483,0.0199765644524694,0.00209573127130611,0.45,0.45,0.45,0.45,0.45,0.45,0.0229312108930269,0.00451773115368034,7.20856679148625e-05,299,299,299 -"485","IAR_LU_segmented_2step","left kidney medulla",200,0.158,0.019,0.00209,0.156502788562749,0.01944662223736,0.00209523459722322,0.45,0.45,0.45,0.45,0.45,0.45,0.0115545577659798,0.00215365037568976,3.60164249883863e-05,299,299,299 -"486","IAR_LU_segmented_2step","Liver",10,0.11,0.1,0.0015,0.144577570411426,0.0600041637865293,0.00152084809188092,0.45,0.45,0.45,0.45,0.45,0.45,0.123335225696709,0.0417372816084262,0.000472993211159269,299,299,299 -"487","IAR_LU_segmented_2step","Liver",30,0.11,0.1,0.0015,0.112815078932074,0.0768823300474684,0.00150154707211704,0.45,0.45,0.45,0.45,0.45,0.45,0.0402419901201215,0.0310439867234663,0.000152137743344338,299,299,299 -"488","IAR_LU_segmented_2step","Liver",50,0.11,0.1,0.0015,0.1099576380775,0.0845663044192014,0.00150017699860271,0.45,0.45,0.45,0.45,0.45,0.45,0.0218836166694104,0.022477885458141,9.09784274199351e-05,299,299,299 -"489","IAR_LU_segmented_2step","Liver",100,0.11,0.1,0.0015,0.10944935129917,0.0916622252527853,0.00149980895512081,0.45,0.45,0.45,0.45,0.45,0.45,0.010208281089791,0.0124943171981403,4.54189474712779e-05,299,299,299 -"490","IAR_LU_segmented_2step","Liver",200,0.11,0.1,0.0015,0.109652146434559,0.0956035913947621,0.00149983471124947,0.45,0.45,0.45,0.45,0.45,0.45,0.00504024948517217,0.00673413090644371,2.26988859055568e-05,299,299,299 -"491","IAR_LU_segmented_2step","Myocardium LV",10,0.15,0.08,0.0024,0.216176462093417,0.0587745064264794,0.00236368743581685,0.45,0.45,0.45,0.45,0.45,0.45,0.171881507598995,0.0401426060790872,0.00083406866022113,299,299,299 -"492","IAR_LU_segmented_2step","Myocardium LV",30,0.15,0.08,0.0024,0.157092624615292,0.0735422874811554,0.00241303581609851,0.45,0.45,0.45,0.45,0.45,0.45,0.054239386775933,0.0290662382493536,0.00029635766628923,299,299,299 -"493","IAR_LU_segmented_2step","Myocardium LV",50,0.15,0.08,0.0024,0.152059688939565,0.0774471556451954,0.00240494096841768,0.45,0.45,0.45,0.45,0.45,0.45,0.0288164349419838,0.0222586680361696,0.000176237551477804,299,299,299 -"494","IAR_LU_segmented_2step","Myocardium LV",100,0.15,0.08,0.0024,0.150244355906902,0.0802205089580956,0.00240130488986735,0.45,0.45,0.45,0.45,0.45,0.45,0.0129998410911865,0.0141228435254751,8.77945387539921e-05,299,299,299 -"495","IAR_LU_segmented_2step","Myocardium LV",200,0.15,0.08,0.0024,0.149981615838326,0.0805727786392947,0.00240036245148733,0.45,0.45,0.45,0.45,0.45,0.45,0.00636500187260487,0.0083863709891494,4.38595760806971e-05,299,299,299 -"496","IAR_LU_segmented_2step","myocardium ra",10,0.07,0.07,0.0015,0.119350871187795,0.0526522113471146,0.00151975238387796,0.45,0.45,0.45,0.45,0.45,0.45,0.122175673607144,0.0433817113789841,0.000451902244673881,299,299,299 -"497","IAR_LU_segmented_2step","myocardium ra",30,0.07,0.07,0.0015,0.0792678235673555,0.0630122253969336,0.00150135088654914,0.45,0.45,0.45,0.45,0.45,0.45,0.0453965721112215,0.0370205317703307,0.000145531665798083,299,299,299 -"498","IAR_LU_segmented_2step","myocardium ra",50,0.07,0.07,0.0015,0.0732403881564398,0.0670725405856644,0.00150012323561766,0.45,0.45,0.45,0.45,0.45,0.45,0.0252082854080656,0.031219546230532,8.70510202022302e-05,299,299,299 -"499","IAR_LU_segmented_2step","myocardium ra",100,0.07,0.07,0.0015,0.0706178298624483,0.0704430265419414,0.00149980568738501,0.45,0.45,0.45,0.45,0.45,0.45,0.0111951905157038,0.0218907234720239,4.34633528226247e-05,299,299,299 -"500","IAR_LU_segmented_2step","myocardium ra",200,0.07,0.07,0.0015,0.0700882021755177,0.0711624170940203,0.00149983895305835,0.45,0.45,0.45,0.45,0.45,0.45,0.00530076418974235,0.0136048479725231,2.17222536755328e-05,299,299,299 -"501","IAR_LU_segmented_2step","myocardium RV",10,0.15,0.08,0.0024,0.216176462093417,0.0587745064264794,0.00236368743581685,0.45,0.45,0.45,0.45,0.45,0.45,0.171881507598995,0.0401426060790872,0.00083406866022113,299,299,299 -"502","IAR_LU_segmented_2step","myocardium RV",30,0.15,0.08,0.0024,0.157092624615292,0.0735422874811554,0.00241303581609851,0.45,0.45,0.45,0.45,0.45,0.45,0.054239386775933,0.0290662382493536,0.00029635766628923,299,299,299 -"503","IAR_LU_segmented_2step","myocardium RV",50,0.15,0.08,0.0024,0.152059688939565,0.0774471556451954,0.00240494096841768,0.45,0.45,0.45,0.45,0.45,0.45,0.0288164349419838,0.0222586680361696,0.000176237551477804,299,299,299 -"504","IAR_LU_segmented_2step","myocardium RV",100,0.15,0.08,0.0024,0.150244355906902,0.0802205089580956,0.00240130488986735,0.45,0.45,0.45,0.45,0.45,0.45,0.0129998410911865,0.0141228435254751,8.77945387539921e-05,299,299,299 -"505","IAR_LU_segmented_2step","myocardium RV",200,0.15,0.08,0.0024,0.149981615838326,0.0805727786392947,0.00240036245148733,0.45,0.45,0.45,0.45,0.45,0.45,0.00636500187260487,0.0083863709891494,4.38595760806971e-05,299,299,299 -"506","IAR_LU_segmented_2step","pancreas",10,0.15,0.01,0.00129999999999999,0.167366769534782,0.0306978926979998,0.00134733544815708,0.45,0.45,0.45,0.45,0.45,0.45,0.138138076806016,0.0353119819659889,0.000431649675978663,299,299,299 -"507","IAR_LU_segmented_2step","pancreas",30,0.15,0.01,0.00129999999999999,0.141203985588467,0.0176354726093115,0.00133082551202286,0.45,0.45,0.45,0.45,0.45,0.45,0.0600511085386784,0.0196812578308465,0.000139043274945453,299,299,299 -"508","IAR_LU_segmented_2step","pancreas",50,0.15,0.01,0.00129999999999999,0.137697420917372,0.0134860811681421,0.00132993185853207,0.45,0.45,0.45,0.45,0.45,0.45,0.0376186380241066,0.00990391939690809,8.31806812154377e-05,299,299,299 -"509","IAR_LU_segmented_2step","pancreas",100,0.15,0.01,0.00129999999999999,0.136229323219863,0.0115476660390234,0.00132978575875502,0.45,0.45,0.45,0.45,0.45,0.45,0.0195144380514801,0.00241788894796007,4.15321586456171e-05,299,299,299 -"510","IAR_LU_segmented_2step","pancreas",200,0.15,0.01,0.00129999999999999,0.136024845707517,0.0112236005383082,0.00132987961477637,0.45,0.45,0.45,0.45,0.45,0.45,0.00985292081870204,0.00107217148365358,2.07569285081239e-05,299,299,299 -"511","IAR_LU_segmented_2step","pericardium",10,0.07,0.00999999999999999,0.003,0.22320565207551,0.0265364476482412,0.00273701082230784,0.45,0.45,0.45,0.45,0.45,0.45,0.23206537977111,0.0359088326115604,0.00088504212200084,299,299,299 -"512","IAR_LU_segmented_2step","pericardium",30,0.07,0.00999999999999999,0.003,0.104347274972772,0.0256374434531395,0.00304612925895245,0.45,0.45,0.45,0.45,0.45,0.45,0.114261684103799,0.0332933654950249,0.00039105626191339,299,299,299 -"513","IAR_LU_segmented_2step","pericardium",50,0.07,0.00999999999999999,0.003,0.0814011586963573,0.0244933209869785,0.00304009046144298,0.45,0.45,0.45,0.45,0.45,0.45,0.0795667664506302,0.0304103420804633,0.000238152536499515,299,299,299 -"514","IAR_LU_segmented_2step","pericardium",100,0.07,0.00999999999999999,0.003,0.0642156773233244,0.0204405944701307,0.00303324788669806,0.45,0.45,0.45,0.45,0.45,0.45,0.0448553819665871,0.0232832527732592,0.000118500604743613,299,299,299 -"515","IAR_LU_segmented_2step","pericardium",200,0.07,0.00999999999999999,0.003,0.0580112863869371,0.0143446319848522,0.00303117957616411,0.45,0.45,0.45,0.45,0.45,0.45,0.0239540291900973,0.00980730019759861,5.91963411917844e-05,299,299,299 -"516","IAR_LU_segmented_2step","right kidney medulla",10,0.158,0.019,0.00209,0.214897364750887,0.0349323808857953,0.00210934037383571,0.45,0.45,0.45,0.45,0.45,0.45,0.176570100929705,0.0357038663180629,0.000728386366312476,299,299,299 -"517","IAR_LU_segmented_2step","right kidney medulla",30,0.158,0.019,0.00209,0.1657109940179,0.0270906706245067,0.00210327080298252,0.45,0.45,0.45,0.45,0.45,0.45,0.0725100593788847,0.0225768947405185,0.000242646564228503,299,299,299 -"518","IAR_LU_segmented_2step","right kidney medulla",50,0.158,0.019,0.00209,0.159840360106385,0.0226243076257691,0.00209789750114162,0.45,0.45,0.45,0.45,0.45,0.45,0.0449934074887979,0.0129995305341982,0.000144591388188289,299,299,299 -"519","IAR_LU_segmented_2step","right kidney medulla",100,0.158,0.019,0.00209,0.157128036252483,0.0199765644524694,0.00209573127130611,0.45,0.45,0.45,0.45,0.45,0.45,0.0229312108930269,0.00451773115368034,7.20856679148625e-05,299,299,299 -"520","IAR_LU_segmented_2step","right kidney medulla",200,0.158,0.019,0.00209,0.156502788562749,0.01944662223736,0.00209523459722322,0.45,0.45,0.45,0.45,0.45,0.45,0.0115545577659798,0.00215365037568976,3.60164249883863e-05,299,299,299 -"521","IAR_LU_segmented_2step","Right kydney cortex",10,0.097,0.02,0.00212,0.170083391326229,0.0362607784128459,0.00214004719496282,0.45,0.45,0.45,0.45,0.45,0.45,0.168104195513681,0.0383928312387471,0.000693964401384033,299,299,299 -"522","IAR_LU_segmented_2step","Right kydney cortex",30,0.097,0.02,0.00212,0.112526750081267,0.0324422518181432,0.0021297407037008,0.45,0.45,0.45,0.45,0.45,0.45,0.071762920718918,0.0299939350792029,0.000230468547854172,299,299,299 -"523","IAR_LU_segmented_2step","Right kydney cortex",50,0.097,0.02,0.00212,0.10294341594501,0.0276749873194382,0.00212486470550974,0.45,0.45,0.45,0.45,0.45,0.45,0.0445721609688734,0.0223523515043956,0.000137434850582313,299,299,299 -"524","IAR_LU_segmented_2step","Right kydney cortex",100,0.097,0.02,0.00212,0.0979365844202808,0.0222618598591827,0.00212288817087808,0.45,0.45,0.45,0.45,0.45,0.45,0.0226855112845619,0.0094189431786872,6.85394294758574e-05,299,299,299 -"525","IAR_LU_segmented_2step","Right kydney cortex",200,0.097,0.02,0.00212,0.0965888281696063,0.0206966235189306,0.00212243012687663,0.45,0.45,0.45,0.45,0.45,0.45,0.0113984606619312,0.003773564449597,3.42474968787025e-05,299,299,299 -"526","IAR_LU_segmented_2step","small intestine",10,0.69,0.029,0.00131,0.690373037070898,0.0320610845226397,0.00128397090175435,0.45,0.45,0.45,0.45,0.45,0.45,0.111830764549477,0.0149363990351109,0.0010310750352814,299,299,299 -"527","IAR_LU_segmented_2step","small intestine",30,0.69,0.029,0.00131,0.688190385608461,0.0294222676855826,0.00132700874616123,0.45,0.45,0.45,0.45,0.45,0.45,0.0448734637901488,0.00411936458263747,0.000393814792063893,299,299,299 -"528","IAR_LU_segmented_2step","small intestine",50,0.69,0.029,0.00131,0.68898313707029,0.0291736871197262,0.00131674147785283,0.45,0.45,0.45,0.45,0.45,0.45,0.0269406505091751,0.00243185752491584,0.000231513954749497,299,299,299 -"529","IAR_LU_segmented_2step","small intestine",100,0.69,0.029,0.00131,0.68940425299248,0.0290661630924925,0.00131311787679812,0.45,0.45,0.45,0.45,0.45,0.45,0.0134745367108107,0.00120919315590461,0.000114727932084214,299,299,299 -"530","IAR_LU_segmented_2step","small intestine",200,0.69,0.029,0.00131,0.689565491157383,0.0290364333708514,0.00131259560662869,0.45,0.45,0.45,0.45,0.45,0.45,0.00673757580906278,0.000603840896646575,5.72226395519967e-05,299,299,299 -"531","IAR_LU_segmented_2step","spleen",10,0.2,0.03,0.00129999999999999,0.224602362890799,0.0422543737942781,0.00131869223769686,0.45,0.45,0.45,0.45,0.45,0.45,0.127234911609303,0.0341611217172608,0.000459161541284809,299,299,299 -"532","IAR_LU_segmented_2step","spleen",30,0.2,0.03,0.00129999999999999,0.203576863495816,0.0339539200173157,0.00130108907088979,0.45,0.45,0.45,0.45,0.45,0.45,0.044331214464624,0.017617566481108,0.000147366538355311,299,299,299 -"533","IAR_LU_segmented_2step","spleen",50,0.2,0.03,0.00129999999999999,0.201083469438403,0.0314320549693185,0.00130009526398064,0.45,0.45,0.45,0.45,0.45,0.45,0.0264945321235979,0.00973436499772472,8.81308203353264e-05,299,299,299 -"534","IAR_LU_segmented_2step","spleen",100,0.2,0.03,0.00129999999999999,0.20007115163649,0.0303418337778117,0.001299928493873,0.45,0.45,0.45,0.45,0.45,0.45,0.0131754362709165,0.00435303846028546,4.39969723252588e-05,299,299,299 -"535","IAR_LU_segmented_2step","spleen",200,0.2,0.03,0.00129999999999999,0.199885784150361,0.0301070126211822,0.00130002911399547,0.45,0.45,0.45,0.45,0.45,0.45,0.00657087134211547,0.00215138858402903,2.19877335574001e-05,299,299,299 -"536","IAR_LU_segmented_2step","st wall",10,0.3,0.012,0.0015,0.297910726506523,0.0238987755166635,0.00157773932710541,0.45,0.45,0.45,0.45,0.45,0.45,0.166898578530855,0.026413197787185,0.000614593950499859,299,299,299 -"537","IAR_LU_segmented_2step","st wall",30,0.3,0.012,0.0015,0.283533465909088,0.0146267868916472,0.00155214816764873,0.45,0.45,0.45,0.45,0.45,0.45,0.0667707036118569,0.0078453694765802,0.00019551156370717,299,299,299 -"538","IAR_LU_segmented_2step","st wall",50,0.3,0.012,0.0015,0.282913643368102,0.0133565032690983,0.00154952132488848,0.45,0.45,0.45,0.45,0.45,0.45,0.0412585327424046,0.0029662403323633,0.00011668052444887,299,299,299 -"539","IAR_LU_segmented_2step","st wall",100,0.3,0.012,0.0015,0.282957489855073,0.0129414790127824,0.0015486735829641,0.45,0.45,0.45,0.45,0.45,0.45,0.0209295866586312,0.00131275199125169,5.81996976856253e-05,299,299,299 -"540","IAR_LU_segmented_2step","st wall",200,0.3,0.012,0.0015,0.283111805846317,0.0128396414258269,0.00154860379618769,0.45,0.45,0.45,0.45,0.45,0.45,0.010504025040381,0.000633726930733129,2.90796048726369e-05,299,299,299 -"541","IAR_LU_segmented_2step","trans lower intestine",10,0.69,0.029,0.00130999999999999,0.69037303749125,0.0320610844836358,0.00128397090178629,0.45,0.45,0.45,0.45,0.45,0.45,0.111830763771563,0.0149363989976124,0.00103107503559299,299,299,299 -"542","IAR_LU_segmented_2step","trans lower intestine",30,0.69,0.029,0.00130999999999999,0.688190385593539,0.0294222676872454,0.00132700874615982,0.45,0.45,0.45,0.45,0.45,0.45,0.0448734637558478,0.00411936458168369,0.000393814791967693,299,299,299 -"543","IAR_LU_segmented_2step","trans lower intestine",50,0.69,0.029,0.00130999999999999,0.68898313706239,0.0291736871209134,0.00131674147788471,0.45,0.45,0.45,0.45,0.45,0.45,0.0269406505338101,0.0024318575254413,0.000231513954838717,299,299,299 -"544","IAR_LU_segmented_2step","trans lower intestine",100,0.69,0.029,0.00130999999999999,0.689404252989508,0.0290661630925507,0.00131311787679501,0.45,0.45,0.45,0.45,0.45,0.45,0.0134745367049696,0.00120919315574895,0.000114727932099834,299,299,299 -"545","IAR_LU_segmented_2step","trans lower intestine",200,0.69,0.029,0.00130999999999999,0.689565491165205,0.0290364333675362,0.0013125956066485,0.45,0.45,0.45,0.45,0.45,0.45,0.00673757582406111,0.000603840899001961,5.72226395704009e-05,299,299,299 -"546","IAR_LU_segmented_2step","Vein",10,1,0.1,0.00299999999999999,0.921258294006205,0.0983174229514582,0.000602377539365262,0.45,0.45,0.45,0.45,0.45,0.45,0.0258235599431163,0.00488173576858925,0.000954240122974581,299,299,299 -"547","IAR_LU_segmented_2step","Vein",30,1,0.1,0.00299999999999999,0.976019933221361,0.0994829647765158,0.00060239305244365,0.45,0.45,0.45,0.45,0.45,0.45,0.00833101267682292,0.00160385964963576,0.000954268289514292,299,299,299 -"548","IAR_LU_segmented_2step","Vein",50,1,0.1,0.00299999999999999,0.98599487225747,0.0996813109862223,0.000602405603200741,0.45,0.45,0.45,0.45,0.45,0.45,0.00494309800725367,0.00098635809134973,0.000954266532348308,299,299,299 -"549","IAR_LU_segmented_2step","Vein",100,1,0.1,0.00299999999999999,0.993268900336901,0.0998299735834051,0.000602442811986694,0.45,0.45,0.45,0.45,0.45,0.45,0.00241285763307656,0.000513921040160147,0.000954286483399826,299,299,299 -"550","IAR_LU_segmented_2step","Vein",200,1,0.1,0.00299999999999999,0.996782474408715,0.099908372240112,0.000602417326124585,0.45,0.45,0.45,0.45,0.45,0.45,0.00119135923034317,0.00026755704762974,0.000954060412685357,299,299,299 -"551","IAR_LU_segmented_3step","Artery",10,1,0.1,0.00299999999999999,0.921258295754633,0.0983173943519328,0.000602377539349993,0.45,0.45,0.45,0.45,0.45,0.45,0.0258235874512208,0.00488176105229651,0.000954240122983693,299,299,299 -"552","IAR_LU_segmented_3step","Artery",30,1,0.1,0.00299999999999999,0.976019921591105,0.0994829388946097,0.00060239305244365,0.45,0.45,0.45,0.45,0.45,0.45,0.00833093060793743,0.00160385306213362,0.000954268289514292,299,299,299 -"553","IAR_LU_segmented_3step","Artery",50,1,0.1,0.00299999999999999,0.985994865014497,0.0996813363124957,0.000602405603200741,0.45,0.45,0.45,0.45,0.45,0.45,0.00494311872660846,0.000986368951807364,0.000954266532348308,299,299,299 -"554","IAR_LU_segmented_3step","Artery",100,1,0.1,0.00299999999999999,0.993268930016578,0.0998299053887308,0.000602442811986694,0.45,0.45,0.45,0.45,0.45,0.45,0.00241282801486426,0.000513907366461962,0.000954286483399826,299,299,299 -"555","IAR_LU_segmented_3step","Artery",200,1,0.1,0.00299999999999999,0.996782670892671,0.0999081619683577,0.000602417326124585,0.45,0.45,0.45,0.45,0.45,0.45,0.00119125287475698,0.000267526451585604,0.000954060412685357,299,299,299 -"556","IAR_LU_segmented_3step","asc lower intestine",10,0.69,0.029,0.00131,0.690372912460308,0.0320609988287597,0.00128397090175435,0.45,0.45,0.45,0.45,0.45,0.45,0.111831070178776,0.0149362639331092,0.0010310750352814,299,299,299 -"557","IAR_LU_segmented_3step","asc lower intestine",30,0.69,0.029,0.00131,0.688190453018247,0.0294222458071772,0.00132700874616123,0.45,0.45,0.45,0.45,0.45,0.45,0.0448734379198449,0.00411935738276174,0.000393814792063893,299,299,299 -"558","IAR_LU_segmented_3step","asc lower intestine",50,0.69,0.029,0.00131,0.688983156886655,0.0291736810771982,0.00131674147785283,0.45,0.45,0.45,0.45,0.45,0.45,0.0269406517217619,0.00243185875713279,0.000231513954749497,299,299,299 -"559","IAR_LU_segmented_3step","asc lower intestine",100,0.69,0.029,0.00131,0.689404263283331,0.029066159884122,0.00131311787679812,0.45,0.45,0.45,0.45,0.45,0.45,0.013474531543109,0.00120919095640661,0.000114727932084214,299,299,299 -"560","IAR_LU_segmented_3step","asc lower intestine",200,0.69,0.029,0.00131,0.689565493192121,0.0290364327596902,0.00131259560662869,0.45,0.45,0.45,0.45,0.45,0.45,0.00673757540019296,0.000603840709682258,5.72226395519967e-05,299,299,299 -"561","IAR_LU_segmented_3step","Blood RA",10,1,0.1,0.00299999999999999,0.921258295754633,0.0983173943519328,0.000602377539349993,0.45,0.45,0.45,0.45,0.45,0.45,0.0258235874512208,0.00488176105229651,0.000954240122983693,299,299,299 -"562","IAR_LU_segmented_3step","Blood RA",30,1,0.1,0.00299999999999999,0.976019921591105,0.0994829388946097,0.00060239305244365,0.45,0.45,0.45,0.45,0.45,0.45,0.00833093060793743,0.00160385306213362,0.000954268289514292,299,299,299 -"563","IAR_LU_segmented_3step","Blood RA",50,1,0.1,0.00299999999999999,0.985994865014497,0.0996813363124957,0.000602405603200741,0.45,0.45,0.45,0.45,0.45,0.45,0.00494311872660846,0.000986368951807364,0.000954266532348308,299,299,299 -"564","IAR_LU_segmented_3step","Blood RA",100,1,0.1,0.00299999999999999,0.993268930016578,0.0998299053887308,0.000602442811986694,0.45,0.45,0.45,0.45,0.45,0.45,0.00241282801486426,0.000513907366461962,0.000954286483399826,299,299,299 -"565","IAR_LU_segmented_3step","Blood RA",200,1,0.1,0.00299999999999999,0.996782670892671,0.0999081619683577,0.000602417326124585,0.45,0.45,0.45,0.45,0.45,0.45,0.00119125287475698,0.000267526451585604,0.000954060412685357,299,299,299 -"566","IAR_LU_segmented_3step","Blood RV",10,1,0.1,0.003,0.921258295752512,0.0983173943497697,0.000602377539314825,0.45,0.45,0.45,0.45,0.45,0.45,0.0258235874592633,0.00488176105309786,0.000954240122896554,299,299,299 -"567","IAR_LU_segmented_3step","Blood RV",30,1,0.1,0.003,0.976019921589139,0.0994829388944177,0.000602393052438452,0.45,0.45,0.45,0.45,0.45,0.45,0.00833093061417054,0.00160385306136018,0.000954268289514534,299,299,299 -"568","IAR_LU_segmented_3step","Blood RV",50,1,0.1,0.003,0.985994865012998,0.0996813363124673,0.000602405603200741,0.45,0.45,0.45,0.45,0.45,0.45,0.00494311872708252,0.000986368951628139,0.000954266532348308,299,299,299 -"569","IAR_LU_segmented_3step","Blood RV",100,1,0.1,0.003,0.993268930010737,0.0998299053836721,0.000602442811986694,0.45,0.45,0.45,0.45,0.45,0.45,0.00241282801400462,0.00051390736455086,0.000954286483399826,299,299,299 -"570","IAR_LU_segmented_3step","Blood RV",200,1,0.1,0.003,0.996782670893716,0.0999081619681687,0.000602417326124585,0.45,0.45,0.45,0.45,0.45,0.45,0.00119125287335306,0.000267526451785148,0.000954060412685357,299,299,299 -"571","IAR_LU_segmented_3step","desc lower intestine",10,0.69,0.029,0.00131,0.690372912834237,0.0320609988208121,0.0012839709016351,0.45,0.45,0.45,0.45,0.45,0.45,0.111831069984292,0.014936263933469,0.0010310750351664,299,299,299 -"572","IAR_LU_segmented_3step","desc lower intestine",30,0.69,0.029,0.00131,0.688190453039754,0.0294222458055492,0.00132700874615634,0.45,0.45,0.45,0.45,0.45,0.45,0.0448734379014875,0.00411935738152716,0.000393814791852722,299,299,299 -"573","IAR_LU_segmented_3step","desc lower intestine",50,0.69,0.029,0.00131,0.68898315689181,0.0291736810768264,0.00131674147781799,0.45,0.45,0.45,0.45,0.45,0.45,0.026940651717003,0.00243185875705343,0.000231513954746746,299,299,299 -"574","IAR_LU_segmented_3step","desc lower intestine",100,0.69,0.029,0.00131,0.689404263283869,0.0290661598843801,0.00131311787679321,0.45,0.45,0.45,0.45,0.45,0.45,0.0134745315463702,0.00120919095682723,0.0001147279321005,299,299,299 -"575","IAR_LU_segmented_3step","desc lower intestine",200,0.69,0.029,0.00131,0.689565493196492,0.0290364327594458,0.00131259560662137,0.45,0.45,0.45,0.45,0.45,0.45,0.00673757540289692,0.000603840709761317,5.72226395589749e-05,299,299,299 -"576","IAR_LU_segmented_3step","esophagus",10,0.32,0.03,0.00167,0.340945084086408,0.0389023404303584,0.00169537630410881,0.45,0.45,0.45,0.45,0.45,0.45,0.144635683945777,0.0286326238444777,0.000699310473838228,299,299,299 -"577","IAR_LU_segmented_3step","esophagus",30,0.32,0.03,0.00167,0.321988091257538,0.0319220181956339,0.00167589442416234,0.45,0.45,0.45,0.45,0.45,0.45,0.0506565805728629,0.0111319456463969,0.000225181332906699,299,299,299 -"578","IAR_LU_segmented_3step","esophagus",50,0.32,0.03,0.00167,0.320433872266412,0.0306483607194531,0.00167205798914533,0.45,0.45,0.45,0.45,0.45,0.45,0.0304006723054444,0.00593603112211131,0.000134201428225459,299,299,299 -"579","IAR_LU_segmented_3step","esophagus",100,0.32,0.03,0.00167,0.319848898719663,0.0301863357937562,0.00167069900564771,0.45,0.45,0.45,0.45,0.45,0.45,0.0151616180035821,0.00289360760166667,6.69010973810829e-05,299,299,299 -"580","IAR_LU_segmented_3step","esophagus",200,0.32,0.03,0.00167,0.319780248609411,0.0300697010262038,0.00167049624614464,0.45,0.45,0.45,0.45,0.45,0.45,0.00757222634309929,0.00144131091763197,3.34227716805246e-05,299,299,299 -"581","IAR_LU_segmented_3step","esophagus cont",10,0.32,0.03,0.00167,0.340945084086408,0.0389023404303584,0.00169537630410881,0.45,0.45,0.45,0.45,0.45,0.45,0.144635683945777,0.0286326238444777,0.000699310473838228,299,299,299 -"582","IAR_LU_segmented_3step","esophagus cont",30,0.32,0.03,0.00167,0.321988091257538,0.0319220181956339,0.00167589442416234,0.45,0.45,0.45,0.45,0.45,0.45,0.0506565805728629,0.0111319456463969,0.000225181332906699,299,299,299 -"583","IAR_LU_segmented_3step","esophagus cont",50,0.32,0.03,0.00167,0.320433872266412,0.0306483607194531,0.00167205798914533,0.45,0.45,0.45,0.45,0.45,0.45,0.0304006723054444,0.00593603112211131,0.000134201428225459,299,299,299 -"584","IAR_LU_segmented_3step","esophagus cont",100,0.32,0.03,0.00167,0.319848898719663,0.0301863357937562,0.00167069900564771,0.45,0.45,0.45,0.45,0.45,0.45,0.0151616180035821,0.00289360760166667,6.69010973810829e-05,299,299,299 -"585","IAR_LU_segmented_3step","esophagus cont",200,0.32,0.03,0.00167,0.319780248609411,0.0300697010262038,0.00167049624614464,0.45,0.45,0.45,0.45,0.45,0.45,0.00757222634309929,0.00144131091763197,3.34227716805246e-05,299,299,299 -"586","IAR_LU_segmented_3step","Left kidney cortex",10,0.097,0.02,0.00212,0.171166452972381,0.0327373606940212,0.00214004719496282,0.45,0.45,0.45,0.45,0.45,0.45,0.168408251172229,0.0370219089901412,0.000693964401384033,299,299,299 -"587","IAR_LU_segmented_3step","Left kidney cortex",30,0.097,0.02,0.00212,0.112527007907574,0.0318089332204069,0.0021297407037008,0.45,0.45,0.45,0.45,0.45,0.45,0.0717629422528089,0.0295588826080511,0.000230468547854172,299,299,299 -"588","IAR_LU_segmented_3step","Left kidney cortex",50,0.097,0.02,0.00212,0.102943504878459,0.0273586068848391,0.00212486470550974,0.45,0.45,0.45,0.45,0.45,0.45,0.0445721614984707,0.0219954324959227,0.000137434850582313,299,299,299 -"589","IAR_LU_segmented_3step","Left kidney cortex",100,0.097,0.02,0.00212,0.0979366717504519,0.0222619035498679,0.00212288817087808,0.45,0.45,0.45,0.45,0.45,0.45,0.0226855370063872,0.00941940682395472,6.85394294758574e-05,299,299,299 -"590","IAR_LU_segmented_3step","Left kidney cortex",200,0.097,0.02,0.00212,0.0965888681061081,0.0206965918812656,0.00212243012687663,0.45,0.45,0.45,0.45,0.45,0.45,0.0113984885320567,0.00377358064677238,3.42474968787025e-05,299,299,299 -"591","IAR_LU_segmented_3step","left kidney medulla",10,0.158,0.019,0.00209,0.215538601333811,0.0330584554041069,0.00210934037383571,0.45,0.45,0.45,0.45,0.45,0.45,0.176417627966443,0.0347242884028947,0.000728386366312476,299,299,299 -"592","IAR_LU_segmented_3step","left kidney medulla",30,0.158,0.019,0.00209,0.165711065937012,0.0267740275565235,0.00210327080298252,0.45,0.45,0.45,0.45,0.45,0.45,0.0725100854055339,0.0222142824675598,0.000242646564228503,299,299,299 -"593","IAR_LU_segmented_3step","left kidney medulla",50,0.158,0.019,0.00209,0.159840423247182,0.0226243769919891,0.00209789750114162,0.45,0.45,0.45,0.45,0.45,0.45,0.0449934407960539,0.0129999351650522,0.000144591388188289,299,299,299 -"594","IAR_LU_segmented_3step","left kidney medulla",100,0.158,0.019,0.00209,0.157128073731818,0.0199765335425257,0.00209573127130611,0.45,0.45,0.45,0.45,0.45,0.45,0.0229312099738713,0.00451769065546987,7.20856679148625e-05,299,299,299 -"595","IAR_LU_segmented_3step","left kidney medulla",200,0.158,0.019,0.00209,0.156502806502535,0.0194466127262563,0.00209523459722322,0.45,0.45,0.45,0.45,0.45,0.45,0.0115545662188956,0.0021536510498884,3.60164249883863e-05,299,299,299 -"596","IAR_LU_segmented_3step","Liver",10,0.11,0.1,0.0015,0.146082882050709,0.0559478804902679,0.00152084809188092,0.45,0.45,0.45,0.45,0.45,0.45,0.12417523764379,0.0423510319114557,0.000472993211159269,299,299,299 -"597","IAR_LU_segmented_3step","Liver",30,0.11,0.1,0.0015,0.113015747107183,0.0764337988942673,0.00150154707211704,0.45,0.45,0.45,0.45,0.45,0.45,0.0404962619170089,0.0315961478906252,0.000152137743344338,299,299,299 -"598","IAR_LU_segmented_3step","Liver",50,0.11,0.1,0.0015,0.109957685341215,0.0845663398058661,0.00150017699860271,0.45,0.45,0.45,0.45,0.45,0.45,0.0218837188774183,0.0224781408265878,9.09784274199351e-05,299,299,299 -"599","IAR_LU_segmented_3step","Liver",100,0.11,0.1,0.0015,0.109449356101409,0.0916623226685859,0.00149980895512081,0.45,0.45,0.45,0.45,0.45,0.45,0.0102082812165326,0.0124943114146282,4.54189474712779e-05,299,299,299 -"600","IAR_LU_segmented_3step","Liver",200,0.11,0.1,0.0015,0.109652152384101,0.0956036971815278,0.00149983471124947,0.45,0.45,0.45,0.45,0.45,0.45,0.00504025274062746,0.00673413785148666,2.26988859055568e-05,299,299,299 -"601","IAR_LU_segmented_3step","Myocardium LV",10,0.15,0.08,0.0024,0.218725790194539,0.0547508734828805,0.00236368743581685,0.45,0.45,0.45,0.45,0.45,0.45,0.173307670922309,0.0407132053461866,0.00083406866022113,299,299,299 -"602","IAR_LU_segmented_3step","Myocardium LV",30,0.15,0.08,0.0024,0.15709341513436,0.0735415179568476,0.00241303581609851,0.45,0.45,0.45,0.45,0.45,0.45,0.0542399153967502,0.0290675249231126,0.00029635766628923,299,299,299 -"603","IAR_LU_segmented_3step","Myocardium LV",50,0.15,0.08,0.0024,0.152059800495971,0.0774470116480437,0.00240494096841768,0.45,0.45,0.45,0.45,0.45,0.45,0.0288166633191096,0.0222588618081745,0.000176237551477804,299,299,299 -"604","IAR_LU_segmented_3step","Myocardium LV",100,0.15,0.08,0.0024,0.150244353227827,0.0802204699765195,0.00240130488986735,0.45,0.45,0.45,0.45,0.45,0.45,0.0129998357697389,0.0141227897926447,8.77945387539921e-05,299,299,299 -"605","IAR_LU_segmented_3step","Myocardium LV",200,0.15,0.08,0.0024,0.149981615758688,0.0805727770677274,0.00240036245148733,0.45,0.45,0.45,0.45,0.45,0.45,0.00636500204507123,0.00838636265504018,4.38595760806971e-05,299,299,299 -"606","IAR_LU_segmented_3step","myocardium ra",10,0.07,0.07,0.0015,0.120487721848812,0.0474274141714872,0.00151975238387796,0.45,0.45,0.45,0.45,0.45,0.45,0.12292676009053,0.0432757721627324,0.000451902244673881,299,299,299 -"607","IAR_LU_segmented_3step","myocardium ra",30,0.07,0.07,0.0015,0.0794953920685382,0.061701170887567,0.00150135088654914,0.45,0.45,0.45,0.45,0.45,0.45,0.0456443486701864,0.0375179871485709,0.000145531665798083,299,299,299 -"608","IAR_LU_segmented_3step","myocardium ra",50,0.07,0.07,0.0015,0.0733075060795099,0.0668946641370623,0.00150012323561766,0.45,0.45,0.45,0.45,0.45,0.45,0.0253334139193964,0.0313903609700114,8.70510202022302e-05,299,299,299 -"609","IAR_LU_segmented_3step","myocardium ra",100,0.07,0.07,0.0015,0.0706178530327893,0.0704430355516514,0.00149980568738501,0.45,0.45,0.45,0.45,0.45,0.45,0.0111952191897268,0.0218910314178087,4.34633528226247e-05,299,299,299 -"610","IAR_LU_segmented_3step","myocardium ra",200,0.07,0.07,0.0015,0.0700882022200132,0.0711624063551851,0.00149983895305835,0.45,0.45,0.45,0.45,0.45,0.45,0.00530076622265709,0.0136048747365511,2.17222536755328e-05,299,299,299 -"611","IAR_LU_segmented_3step","myocardium RV",10,0.15,0.08,0.0024,0.218725790194539,0.0547508734828805,0.00236368743581685,0.45,0.45,0.45,0.45,0.45,0.45,0.173307670922309,0.0407132053461866,0.00083406866022113,299,299,299 -"612","IAR_LU_segmented_3step","myocardium RV",30,0.15,0.08,0.0024,0.15709341513436,0.0735415179568476,0.00241303581609851,0.45,0.45,0.45,0.45,0.45,0.45,0.0542399153967502,0.0290675249231126,0.00029635766628923,299,299,299 -"613","IAR_LU_segmented_3step","myocardium RV",50,0.15,0.08,0.0024,0.152059800495971,0.0774470116480437,0.00240494096841768,0.45,0.45,0.45,0.45,0.45,0.45,0.0288166633191096,0.0222588618081745,0.000176237551477804,299,299,299 -"614","IAR_LU_segmented_3step","myocardium RV",100,0.15,0.08,0.0024,0.150244353227827,0.0802204699765195,0.00240130488986735,0.45,0.45,0.45,0.45,0.45,0.45,0.0129998357697389,0.0141227897926447,8.77945387539921e-05,299,299,299 -"615","IAR_LU_segmented_3step","myocardium RV",200,0.15,0.08,0.0024,0.149981615758688,0.0805727770677274,0.00240036245148733,0.45,0.45,0.45,0.45,0.45,0.45,0.00636500204507123,0.00838636265504018,4.38595760806971e-05,299,299,299 -"616","IAR_LU_segmented_3step","pancreas",10,0.15,0.01,0.00129999999999999,0.167876087744328,0.0290823779532465,0.00134733544815708,0.45,0.45,0.45,0.45,0.45,0.45,0.13799145865135,0.0341902078471574,0.000431649675978663,299,299,299 -"617","IAR_LU_segmented_3step","pancreas",30,0.15,0.01,0.00129999999999999,0.141237488923537,0.0173188232665482,0.00133082551202286,0.45,0.45,0.45,0.45,0.45,0.45,0.0599867928753009,0.019107620391262,0.000139043274945453,299,299,299 -"618","IAR_LU_segmented_3step","pancreas",50,0.15,0.01,0.00129999999999999,0.137697382006501,0.013486111899636,0.00132993185853207,0.45,0.45,0.45,0.45,0.45,0.45,0.0376187112217656,0.00990407677614883,8.31806812154377e-05,299,299,299 -"619","IAR_LU_segmented_3step","pancreas",100,0.15,0.01,0.00129999999999999,0.136229323640244,0.0115476620033599,0.00132978575875502,0.45,0.45,0.45,0.45,0.45,0.45,0.019514431169108,0.00241787556317726,4.15321586456171e-05,299,299,299 -"620","IAR_LU_segmented_3step","pancreas",200,0.15,0.01,0.00129999999999999,0.136024834420005,0.0112236045300272,0.00132987961477637,0.45,0.45,0.45,0.45,0.45,0.45,0.00985291999759062,0.00107217005947319,2.07569285081239e-05,299,299,299 -"621","IAR_LU_segmented_3step","pericardium",10,0.07,0.00999999999999999,0.003,0.226261705952676,0.0237795489644494,0.00273701082230784,0.45,0.45,0.45,0.45,0.45,0.45,0.232027240194557,0.0336731897895805,0.00088504212200084,299,299,299 -"622","IAR_LU_segmented_3step","pericardium",30,0.07,0.00999999999999999,0.003,0.104611777513852,0.0196860800407026,0.00304612925895245,0.45,0.45,0.45,0.45,0.45,0.45,0.114299017507708,0.0278397487831849,0.00039105626191339,299,299,299 -"623","IAR_LU_segmented_3step","pericardium",50,0.07,0.00999999999999999,0.003,0.0816066699634704,0.0194934718185086,0.00304009046144298,0.45,0.45,0.45,0.45,0.45,0.45,0.0795483736488436,0.0250992834625371,0.000238152536499515,299,299,299 -"624","IAR_LU_segmented_3step","pericardium",100,0.07,0.00999999999999999,0.003,0.0642026522852465,0.0194902394274878,0.00303324788669806,0.45,0.45,0.45,0.45,0.45,0.45,0.0448738243520826,0.0219106454708596,0.000118500604743613,299,299,299 -"625","IAR_LU_segmented_3step","pericardium",200,0.07,0.00999999999999999,0.003,0.058011320597936,0.0143446673004006,0.00303117957616411,0.45,0.45,0.45,0.45,0.45,0.45,0.0239540324724296,0.00980769094663703,5.91963411917844e-05,299,299,299 -"626","IAR_LU_segmented_3step","right kidney medulla",10,0.158,0.019,0.00209,0.215538601333811,0.0330584554041069,0.00210934037383571,0.45,0.45,0.45,0.45,0.45,0.45,0.176417627966443,0.0347242884028947,0.000728386366312476,299,299,299 -"627","IAR_LU_segmented_3step","right kidney medulla",30,0.158,0.019,0.00209,0.165711065937012,0.0267740275565235,0.00210327080298252,0.45,0.45,0.45,0.45,0.45,0.45,0.0725100854055339,0.0222142824675598,0.000242646564228503,299,299,299 -"628","IAR_LU_segmented_3step","right kidney medulla",50,0.158,0.019,0.00209,0.159840423247182,0.0226243769919891,0.00209789750114162,0.45,0.45,0.45,0.45,0.45,0.45,0.0449934407960539,0.0129999351650522,0.000144591388188289,299,299,299 -"629","IAR_LU_segmented_3step","right kidney medulla",100,0.158,0.019,0.00209,0.157128073731818,0.0199765335425257,0.00209573127130611,0.45,0.45,0.45,0.45,0.45,0.45,0.0229312099738713,0.00451769065546987,7.20856679148625e-05,299,299,299 -"630","IAR_LU_segmented_3step","right kidney medulla",200,0.158,0.019,0.00209,0.156502806502535,0.0194466127262563,0.00209523459722322,0.45,0.45,0.45,0.45,0.45,0.45,0.0115545662188956,0.0021536510498884,3.60164249883863e-05,299,299,299 -"631","IAR_LU_segmented_3step","Right kydney cortex",10,0.097,0.02,0.00212,0.171166452972381,0.0327373606940212,0.00214004719496282,0.45,0.45,0.45,0.45,0.45,0.45,0.168408251172229,0.0370219089901412,0.000693964401384033,299,299,299 -"632","IAR_LU_segmented_3step","Right kydney cortex",30,0.097,0.02,0.00212,0.112527007907574,0.0318089332204069,0.0021297407037008,0.45,0.45,0.45,0.45,0.45,0.45,0.0717629422528089,0.0295588826080511,0.000230468547854172,299,299,299 -"633","IAR_LU_segmented_3step","Right kydney cortex",50,0.097,0.02,0.00212,0.102943504878459,0.0273586068848391,0.00212486470550974,0.45,0.45,0.45,0.45,0.45,0.45,0.0445721614984707,0.0219954324959227,0.000137434850582313,299,299,299 -"634","IAR_LU_segmented_3step","Right kydney cortex",100,0.097,0.02,0.00212,0.0979366717504519,0.0222619035498679,0.00212288817087808,0.45,0.45,0.45,0.45,0.45,0.45,0.0226855370063872,0.00941940682395472,6.85394294758574e-05,299,299,299 -"635","IAR_LU_segmented_3step","Right kydney cortex",200,0.097,0.02,0.00212,0.0965888681061081,0.0206965918812656,0.00212243012687663,0.45,0.45,0.45,0.45,0.45,0.45,0.0113984885320567,0.00377358064677238,3.42474968787025e-05,299,299,299 -"636","IAR_LU_segmented_3step","small intestine",10,0.69,0.029,0.00131,0.690372912356873,0.0320609988950055,0.00128397090175435,0.45,0.45,0.45,0.45,0.45,0.45,0.111831070379349,0.0149362639486584,0.0010310750352814,299,299,299 -"637","IAR_LU_segmented_3step","small intestine",30,0.69,0.029,0.00131,0.688190453015561,0.0294222458063855,0.00132700874616123,0.45,0.45,0.45,0.45,0.45,0.45,0.0448734379425795,0.00411935738385784,0.000393814792063893,299,299,299 -"638","IAR_LU_segmented_3step","small intestine",50,0.69,0.029,0.00131,0.688983156880932,0.0291736810769727,0.00131674147785283,0.45,0.45,0.45,0.45,0.45,0.45,0.026940651716611,0.00243185875699742,0.000231513954749497,299,299,299 -"639","IAR_LU_segmented_3step","small intestine",100,0.69,0.029,0.00131,0.689404263282608,0.0290661598842716,0.00131311787679812,0.45,0.45,0.45,0.45,0.45,0.45,0.0134745315497881,0.00120919095739295,0.000114727932084214,299,299,299 -"640","IAR_LU_segmented_3step","small intestine",200,0.69,0.029,0.00131,0.68956549319335,0.0290364327596369,0.00131259560662869,0.45,0.45,0.45,0.45,0.45,0.45,0.00673757540024816,0.000603840709655209,5.72226395519967e-05,299,299,299 -"641","IAR_LU_segmented_3step","spleen",10,0.2,0.03,0.00129999999999999,0.225215079244018,0.0408475941745436,0.00131869223769686,0.45,0.45,0.45,0.45,0.45,0.45,0.127374549590845,0.0338321181453734,0.000459161541284809,299,299,299 -"642","IAR_LU_segmented_3step","spleen",30,0.2,0.03,0.00129999999999999,0.203576978248672,0.0339539416807976,0.00130108907088979,0.45,0.45,0.45,0.45,0.45,0.45,0.0443312368356655,0.0176179137760107,0.000147366538355311,299,299,299 -"643","IAR_LU_segmented_3step","spleen",50,0.2,0.03,0.00129999999999999,0.201083539263729,0.0314319351028402,0.00130009526398064,0.45,0.45,0.45,0.45,0.45,0.45,0.026494577015459,0.0097343797369095,8.81308203353264e-05,299,299,299 -"644","IAR_LU_segmented_3step","spleen",100,0.2,0.03,0.00129999999999999,0.200071168884838,0.0303418014706331,0.001299928493873,0.45,0.45,0.45,0.45,0.45,0.45,0.0131754519827359,0.00435303381837777,4.39969723252588e-05,299,299,299 -"645","IAR_LU_segmented_3step","spleen",200,0.2,0.03,0.00129999999999999,0.199885789613915,0.0301070023107681,0.00130002911399547,0.45,0.45,0.45,0.45,0.45,0.45,0.00657087505150261,0.00215139132638464,2.19877335574001e-05,299,299,299 -"646","IAR_LU_segmented_3step","st wall",10,0.3,0.012,0.0015,0.298324938833872,0.0239344077578617,0.00157773932710541,0.45,0.45,0.45,0.45,0.45,0.45,0.16670974705843,0.0264709436324007,0.000614593950499859,299,299,299 -"647","IAR_LU_segmented_3step","st wall",30,0.3,0.012,0.0015,0.283533448008898,0.0146267906410416,0.00155214816764873,0.45,0.45,0.45,0.45,0.45,0.45,0.0667707702398052,0.00784535598914983,0.00019551156370717,299,299,299 -"648","IAR_LU_segmented_3step","st wall",50,0.3,0.012,0.0015,0.282913610595332,0.013356509669699,0.00154952132488848,0.45,0.45,0.45,0.45,0.45,0.45,0.0412585585926891,0.00296623318505363,0.00011668052444887,299,299,299 -"649","IAR_LU_segmented_3step","st wall",100,0.3,0.012,0.0015,0.282957467763654,0.0129414830257878,0.0015486735829641,0.45,0.45,0.45,0.45,0.45,0.45,0.0209295851952189,0.0013127509371942,5.81996976856253e-05,299,299,299 -"650","IAR_LU_segmented_3step","st wall",200,0.3,0.012,0.0015,0.283111796582806,0.0128396431053783,0.00154860379618769,0.45,0.45,0.45,0.45,0.45,0.45,0.0105040225309021,0.000633726038726297,2.90796048726369e-05,299,299,299 -"651","IAR_LU_segmented_3step","trans lower intestine",10,0.69,0.029,0.00130999999999999,0.690372912514732,0.0320609988154312,0.00128397090178629,0.45,0.45,0.45,0.45,0.45,0.45,0.11183107022349,0.0149362639063537,0.00103107503559299,299,299,299 -"652","IAR_LU_segmented_3step","trans lower intestine",30,0.69,0.029,0.00130999999999999,0.688190453028525,0.0294222458062765,0.00132700874615982,0.45,0.45,0.45,0.45,0.45,0.45,0.0448734379048314,0.00411935738241528,0.000393814791967693,299,299,299 -"653","IAR_LU_segmented_3step","trans lower intestine",50,0.69,0.029,0.00130999999999999,0.688983156885389,0.0291736810770989,0.00131674147788471,0.45,0.45,0.45,0.45,0.45,0.45,0.0269406517148853,0.00243185875753381,0.000231513954838717,299,299,299 -"654","IAR_LU_segmented_3step","trans lower intestine",100,0.69,0.029,0.00130999999999999,0.689404263284667,0.0290661598842918,0.00131311787679501,0.45,0.45,0.45,0.45,0.45,0.45,0.0134745315495576,0.00120919095747282,0.000114727932099834,299,299,299 -"655","IAR_LU_segmented_3step","trans lower intestine",200,0.69,0.029,0.00130999999999999,0.689565493192237,0.0290364327597635,0.0013125956066485,0.45,0.45,0.45,0.45,0.45,0.45,0.00673757540531011,0.000603840709857747,5.72226395704009e-05,299,299,299 -"656","IAR_LU_segmented_3step","Vein",10,1,0.1,0.00299999999999999,0.921258295769297,0.0983173943529829,0.000602377539365262,0.45,0.45,0.45,0.45,0.45,0.45,0.0258235874429731,0.00488176105242994,0.000954240122974581,299,299,299 -"657","IAR_LU_segmented_3step","Vein",30,1,0.1,0.00299999999999999,0.976019921590824,0.099482938894657,0.00060239305244365,0.45,0.45,0.45,0.45,0.45,0.45,0.00833093061148117,0.00160385306162368,0.000954268289514292,299,299,299 -"658","IAR_LU_segmented_3step","Vein",50,1,0.1,0.00299999999999999,0.985994865012448,0.0996813363124073,0.000602405603200741,0.45,0.45,0.45,0.45,0.45,0.45,0.00494311872646144,0.000986368952043478,0.000954266532348308,299,299,299 -"659","IAR_LU_segmented_3step","Vein",100,1,0.1,0.00299999999999999,0.993268929663768,0.0998299060636546,0.000602442811986694,0.45,0.45,0.45,0.45,0.45,0.45,0.00241282790462813,0.000513906117480587,0.000954286483399826,299,299,299 -"660","IAR_LU_segmented_3step","Vein",200,1,0.1,0.00299999999999999,0.996782670893754,0.099908161968246,0.000602417326124585,0.45,0.45,0.45,0.45,0.45,0.45,0.00119125287281276,0.00026752645150961,0.000954060412685357,299,299,299 -"661","IAR_LU_subtracted","Artery",10,1,0.1,0.00299999999999999,0.868045922384154,0.0985985293146783,0.000602377539349993,0.45,0.45,0.45,0.45,0.45,0.45,0.112435321659538,0.00440048348345655,0.000954240122983693,299,299,299 -"662","IAR_LU_subtracted","Artery",30,1,0.1,0.00299999999999999,0.957942477947069,0.0996184418318211,0.00060239305244365,0.45,0.45,0.45,0.45,0.45,0.45,0.0334473349549559,0.00133438593579269,0.000954268289514292,299,299,299 -"663","IAR_LU_subtracted","Artery",50,1,0.1,0.00299999999999999,0.974974772688727,0.0997749955437601,0.000602405603200741,0.45,0.45,0.45,0.45,0.45,0.45,0.0196506919534024,0.000799331220696613,0.000954266532348308,299,299,299 -"664","IAR_LU_subtracted","Artery",100,1,0.1,0.00299999999999999,0.987563371296034,0.0998909406437503,0.000602442811986694,0.45,0.45,0.45,0.45,0.45,0.45,0.00967550352535155,0.000393844438217049,0.000954286483399826,299,299,299 -"665","IAR_LU_subtracted","Artery",200,1,0.1,0.00299999999999999,0.993800432483572,0.0999475578953041,0.000602417326124585,0.45,0.45,0.45,0.45,0.45,0.45,0.00480131473460813,0.000192683440753476,0.000954060412685357,299,299,299 -"666","IAR_LU_subtracted","asc lower intestine",10,0.69,0.029,0.00131,0.649071571634918,0.0374643243946707,0.00128397090175435,0.45,0.45,0.45,0.45,0.45,0.45,0.187010914797289,0.0225038113704148,0.0010310750352814,299,299,299 -"667","IAR_LU_subtracted","asc lower intestine",30,0.69,0.029,0.00131,0.681939176199502,0.0302945345470063,0.00132700874616123,0.45,0.45,0.45,0.45,0.45,0.45,0.0603891142506458,0.00615614452380217,0.000393814792063893,299,299,299 -"668","IAR_LU_subtracted","asc lower intestine",50,0.69,0.029,0.00131,0.686488325346289,0.0294805288041424,0.00131674147785283,0.45,0.45,0.45,0.45,0.45,0.45,0.0350265291359118,0.00317717209134006,0.000231513954749497,299,299,299 -"669","IAR_LU_subtracted","asc lower intestine",100,0.69,0.029,0.00131,0.688499643316709,0.0291663813610362,0.00131311787679812,0.45,0.45,0.45,0.45,0.45,0.45,0.0172978748913048,0.00151214165314084,0.000114727932084214,299,299,299 -"670","IAR_LU_subtracted","asc lower intestine",200,0.69,0.029,0.00131,0.689091142138651,0.0290838262951937,0.00131259560662869,0.45,0.45,0.45,0.45,0.45,0.45,0.00862471112757458,0.000746769041441657,5.72226395519967e-05,299,299,299 -"671","IAR_LU_subtracted","Blood RA",10,1,0.1,0.00299999999999999,0.868045922384154,0.0985985293146783,0.000602377539349993,0.45,0.45,0.45,0.45,0.45,0.45,0.112435321659538,0.00440048348345655,0.000954240122983693,299,299,299 -"672","IAR_LU_subtracted","Blood RA",30,1,0.1,0.00299999999999999,0.957942477947069,0.0996184418318211,0.00060239305244365,0.45,0.45,0.45,0.45,0.45,0.45,0.0334473349549559,0.00133438593579269,0.000954268289514292,299,299,299 -"673","IAR_LU_subtracted","Blood RA",50,1,0.1,0.00299999999999999,0.974974772688727,0.0997749955437601,0.000602405603200741,0.45,0.45,0.45,0.45,0.45,0.45,0.0196506919534024,0.000799331220696613,0.000954266532348308,299,299,299 -"674","IAR_LU_subtracted","Blood RA",100,1,0.1,0.00299999999999999,0.987563371296034,0.0998909406437503,0.000602442811986694,0.45,0.45,0.45,0.45,0.45,0.45,0.00967550352535155,0.000393844438217049,0.000954286483399826,299,299,299 -"675","IAR_LU_subtracted","Blood RA",200,1,0.1,0.00299999999999999,0.993800432483572,0.0999475578953041,0.000602417326124585,0.45,0.45,0.45,0.45,0.45,0.45,0.00480131473460813,0.000192683440753476,0.000954060412685357,299,299,299 -"676","IAR_LU_subtracted","Blood RV",10,1,0.1,0.003,0.868045922388077,0.0985985293170771,0.000602377539314825,0.45,0.45,0.45,0.45,0.45,0.45,0.112435321636501,0.00440048348198392,0.000954240122896554,299,299,299 -"677","IAR_LU_subtracted","Blood RV",30,1,0.1,0.003,0.957942477946737,0.0996184418317999,0.000602393052438452,0.45,0.45,0.45,0.45,0.45,0.45,0.033447334956949,0.00133438593586357,0.000954268289514534,299,299,299 -"678","IAR_LU_subtracted","Blood RV",50,1,0.1,0.003,0.974974772688138,0.0997749955437326,0.000602405603200741,0.45,0.45,0.45,0.45,0.45,0.45,0.0196506919536509,0.000799331220799176,0.000954266532348308,299,299,299 -"679","IAR_LU_subtracted","Blood RV",100,1,0.1,0.003,0.987563371296049,0.0998909406438783,0.000602442811986694,0.45,0.45,0.45,0.45,0.45,0.45,0.00967550352526221,0.000393844437553459,0.000954286483399826,299,299,299 -"680","IAR_LU_subtracted","Blood RV",200,1,0.1,0.003,0.993800432483625,0.0999475578955035,0.000602417326124585,0.45,0.45,0.45,0.45,0.45,0.45,0.00480131473462409,0.000192683440854932,0.000954060412685357,299,299,299 -"681","IAR_LU_subtracted","desc lower intestine",10,0.69,0.029,0.00131,0.649071571625974,0.0374643243918038,0.0012839709016351,0.45,0.45,0.45,0.45,0.45,0.45,0.187010914855941,0.0225038113819589,0.0010310750351664,299,299,299 -"682","IAR_LU_subtracted","desc lower intestine",30,0.69,0.029,0.00131,0.681939176203194,0.030294534546328,0.00132700874615634,0.45,0.45,0.45,0.45,0.45,0.45,0.0603891142121709,0.00615614452364872,0.000393814791852722,299,299,299 -"683","IAR_LU_subtracted","desc lower intestine",50,0.69,0.029,0.00131,0.686488325351207,0.0294805288036491,0.00131674147781799,0.45,0.45,0.45,0.45,0.45,0.45,0.0350265291360364,0.00317717209129982,0.000231513954746746,299,299,299 -"684","IAR_LU_subtracted","desc lower intestine",100,0.69,0.029,0.00131,0.688499643317253,0.029166381360917,0.00131311787679321,0.45,0.45,0.45,0.45,0.45,0.45,0.0172978748932321,0.00151214165342676,0.0001147279321005,299,299,299 -"685","IAR_LU_subtracted","desc lower intestine",200,0.69,0.029,0.00131,0.689091142140118,0.02908382629515,0.00131259560662137,0.45,0.45,0.45,0.45,0.45,0.45,0.00862471112793025,0.000746769041292778,5.72226395589749e-05,299,299,299 -"686","IAR_LU_subtracted","esophagus",10,0.32,0.03,0.00167,0.298330817075282,0.0478246753714885,0.00169537630410881,0.45,0.45,0.45,0.45,0.45,0.45,0.186559711972025,0.0358367649259609,0.000699310473838228,299,299,299 -"687","IAR_LU_subtracted","esophagus",30,0.32,0.03,0.00167,0.313367488935735,0.0353086925805384,0.00167589442416234,0.45,0.45,0.45,0.45,0.45,0.45,0.0697310741767941,0.01750019170197,0.000225181332906699,299,299,299 -"688","IAR_LU_subtracted","esophagus",50,0.32,0.03,0.00167,0.317127604763594,0.0320171438787851,0.00167205798914533,0.45,0.45,0.45,0.45,0.45,0.45,0.0406027688015824,0.00927812869110153,0.000134201428225459,299,299,299 -"689","IAR_LU_subtracted","esophagus",100,0.32,0.03,0.00167,0.318810590850789,0.0305459994582878,0.00167069900564771,0.45,0.45,0.45,0.45,0.45,0.45,0.0201363964589113,0.00396261967353236,6.69010973810829e-05,299,299,299 -"690","IAR_LU_subtracted","esophagus",200,0.32,0.03,0.00167,0.319373079061628,0.0301899562016912,0.00167049624614464,0.45,0.45,0.45,0.45,0.45,0.45,0.0100446243584475,0.00191465872338672,3.34227716805246e-05,299,299,299 -"691","IAR_LU_subtracted","esophagus cont",10,0.32,0.03,0.00167,0.298330817075282,0.0478246753714885,0.00169537630410881,0.45,0.45,0.45,0.45,0.45,0.45,0.186559711972025,0.0358367649259609,0.000699310473838228,299,299,299 -"692","IAR_LU_subtracted","esophagus cont",30,0.32,0.03,0.00167,0.313367488935735,0.0353086925805384,0.00167589442416234,0.45,0.45,0.45,0.45,0.45,0.45,0.0697310741767941,0.01750019170197,0.000225181332906699,299,299,299 -"693","IAR_LU_subtracted","esophagus cont",50,0.32,0.03,0.00167,0.317127604763594,0.0320171438787851,0.00167205798914533,0.45,0.45,0.45,0.45,0.45,0.45,0.0406027688015824,0.00927812869110153,0.000134201428225459,299,299,299 -"694","IAR_LU_subtracted","esophagus cont",100,0.32,0.03,0.00167,0.318810590850789,0.0305459994582878,0.00167069900564771,0.45,0.45,0.45,0.45,0.45,0.45,0.0201363964589113,0.00396261967353236,6.69010973810829e-05,299,299,299 -"695","IAR_LU_subtracted","esophagus cont",200,0.32,0.03,0.00167,0.319373079061628,0.0301899562016912,0.00167049624614464,0.45,0.45,0.45,0.45,0.45,0.45,0.0100446243584475,0.00191465872338672,3.34227716805246e-05,299,299,299 -"696","IAR_LU_subtracted","Left kidney cortex",10,0.097,0.02,0.00212,0.14213979402731,0.0516239847830045,0.00214004719496282,0.45,0.45,0.45,0.45,0.45,0.45,0.158085677025204,0.0439945158267697,0.000693964401384033,299,299,299 -"697","IAR_LU_subtracted","Left kidney cortex",30,0.097,0.02,0.00212,0.0959338993097258,0.0420674391434868,0.0021297407037008,0.45,0.45,0.45,0.45,0.45,0.45,0.0739900026008641,0.0375303377351247,0.000230468547854172,299,299,299 -"698","IAR_LU_subtracted","Left kidney cortex",50,0.097,0.02,0.00212,0.0934315763431255,0.0340972382270603,0.00212486470550974,0.45,0.45,0.45,0.45,0.45,0.45,0.0500162693148626,0.0291160218598072,0.000137434850582313,299,299,299 -"699","IAR_LU_subtracted","Left kidney cortex",100,0.097,0.02,0.00212,0.0945576430053885,0.0249352943322664,0.00212288817087808,0.45,0.45,0.45,0.45,0.45,0.45,0.0260691727759818,0.0148441465104737,6.85394294758574e-05,299,299,299 -"700","IAR_LU_subtracted","Left kidney cortex",200,0.097,0.02,0.00212,0.0952975146331108,0.0214206497432682,0.00212243012687663,0.45,0.45,0.45,0.45,0.45,0.45,0.0128746185695077,0.00497159905944298,3.42474968787025e-05,299,299,299 -"701","IAR_LU_subtracted","left kidney medulla",10,0.158,0.019,0.00209,0.179099288028231,0.0482195956241905,0.00210934037383571,0.45,0.45,0.45,0.45,0.45,0.45,0.173901182630869,0.0430434816693402,0.000728386366312476,299,299,299 -"702","IAR_LU_subtracted","left kidney medulla",30,0.158,0.019,0.00209,0.149852727318598,0.0336478370603615,0.00210327080298252,0.45,0.45,0.45,0.45,0.45,0.45,0.081471885999975,0.0294636447791161,0.000242646564228503,299,299,299 -"703","IAR_LU_subtracted","left kidney medulla",50,0.158,0.019,0.00209,0.152083542364696,0.0260759822074301,0.00209789750114162,0.45,0.45,0.45,0.45,0.45,0.45,0.0514396254060103,0.0189502415057605,0.000144591388188289,299,299,299 -"704","IAR_LU_subtracted","left kidney medulla",100,0.158,0.019,0.00209,0.154245618481177,0.0209707843980588,0.00209573127130611,0.45,0.45,0.45,0.45,0.45,0.45,0.0255469057806363,0.00644713982295025,7.20856679148625e-05,299,299,299 -"705","IAR_LU_subtracted","left kidney medulla",200,0.158,0.019,0.00209,0.154953783957048,0.0198168666853734,0.00209523459722322,0.45,0.45,0.45,0.45,0.45,0.45,0.0127402035219187,0.00249340492966497,3.60164249883863e-05,299,299,299 -"706","IAR_LU_subtracted","Liver",10,0.11,0.1,0.0015,0.121102796262656,0.0634637023292287,0.00152084809188092,0.45,0.45,0.45,0.45,0.45,0.45,0.130105575340284,0.0425007401607272,0.000472993211159269,299,299,299 -"707","IAR_LU_subtracted","Liver",30,0.11,0.1,0.0015,0.0977558608603766,0.0724781854232728,0.00150154707211704,0.45,0.45,0.45,0.45,0.45,0.45,0.0613502493964698,0.034666306804501,0.000152137743344338,299,299,299 -"708","IAR_LU_subtracted","Liver",50,0.11,0.1,0.0015,0.100463203481405,0.0787945272430514,0.00150017699860271,0.45,0.45,0.45,0.45,0.45,0.45,0.0409980511902564,0.0284510570921832,9.09784274199351e-05,299,299,299 -"709","IAR_LU_subtracted","Liver",100,0.11,0.1,0.0015,0.105490313170251,0.0868785527973936,0.00149980895512081,0.45,0.45,0.45,0.45,0.45,0.45,0.0208767035787053,0.0189325400054299,4.54189474712779e-05,299,299,299 -"710","IAR_LU_subtracted","Liver",200,0.11,0.1,0.0015,0.107911734542008,0.0926665405232451,0.00149983471124947,0.45,0.45,0.45,0.45,0.45,0.45,0.010493763751019,0.0109829786476278,2.26988859055568e-05,299,299,299 -"711","IAR_LU_subtracted","Myocardium LV",10,0.15,0.08,0.0024,0.18117656197736,0.0608480933171104,0.00236368743581685,0.45,0.45,0.45,0.45,0.45,0.45,0.184591896904083,0.0423777378906302,0.00083406866022113,299,299,299 -"712","IAR_LU_subtracted","Myocardium LV",30,0.15,0.08,0.0024,0.135455819197712,0.0694301289033337,0.00241303581609851,0.45,0.45,0.45,0.45,0.45,0.45,0.0900714015502255,0.0344690491181341,0.00029635766628923,299,299,299 -"713","IAR_LU_subtracted","Myocardium LV",50,0.15,0.08,0.0024,0.138545124410159,0.0733679478841999,0.00240494096841768,0.45,0.45,0.45,0.45,0.45,0.45,0.0612905842727721,0.0293934752547605,0.000176237551477804,299,299,299 -"714","IAR_LU_subtracted","Myocardium LV",100,0.15,0.08,0.0024,0.145564204173756,0.0781560546050807,0.00240130488986735,0.45,0.45,0.45,0.45,0.45,0.45,0.0307895196530896,0.0218220991047788,8.77945387539921e-05,299,299,299 -"715","IAR_LU_subtracted","Myocardium LV",200,0.15,0.08,0.0024,0.148714772596565,0.0805762053100926,0.00240036245148733,0.45,0.45,0.45,0.45,0.45,0.45,0.0145240155122644,0.0147743447447439,4.38595760806971e-05,299,299,299 -"716","IAR_LU_subtracted","myocardium ra",10,0.07,0.07,0.0015,0.10186810798305,0.0606534117311725,0.00151975238387796,0.45,0.45,0.45,0.45,0.45,0.45,0.120898300340911,0.0434847654606971,0.000451902244673881,299,299,299 -"717","IAR_LU_subtracted","myocardium ra",30,0.07,0.07,0.0015,0.0669092818312048,0.0629092386288161,0.00150135088654914,0.45,0.45,0.45,0.45,0.45,0.45,0.05467533607346,0.0390189481601652,0.000145531665798083,299,299,299 -"718","IAR_LU_subtracted","myocardium ra",50,0.07,0.07,0.0015,0.0649047689569669,0.0657124808261645,0.00150012323561766,0.45,0.45,0.45,0.45,0.45,0.45,0.0373547816491121,0.0345082797190195,8.70510202022302e-05,299,299,299 -"719","IAR_LU_subtracted","myocardium ra",100,0.07,0.07,0.0015,0.0673614139938931,0.0697335469292888,0.00149980568738501,0.45,0.45,0.45,0.45,0.45,0.45,0.0196998246819315,0.0271665305647647,4.34633528226247e-05,299,299,299 -"720","IAR_LU_subtracted","myocardium ra",200,0.07,0.07,0.0015,0.0692312276466145,0.0716133033330059,0.00149983895305835,0.45,0.45,0.45,0.45,0.45,0.45,0.00928973196376031,0.0191722698037651,2.17222536755328e-05,299,299,299 -"721","IAR_LU_subtracted","myocardium RV",10,0.15,0.08,0.0024,0.18117656197736,0.0608480933171104,0.00236368743581685,0.45,0.45,0.45,0.45,0.45,0.45,0.184591896904083,0.0423777378906302,0.00083406866022113,299,299,299 -"722","IAR_LU_subtracted","myocardium RV",30,0.15,0.08,0.0024,0.135455819197712,0.0694301289033337,0.00241303581609851,0.45,0.45,0.45,0.45,0.45,0.45,0.0900714015502255,0.0344690491181341,0.00029635766628923,299,299,299 -"723","IAR_LU_subtracted","myocardium RV",50,0.15,0.08,0.0024,0.138545124410159,0.0733679478841999,0.00240494096841768,0.45,0.45,0.45,0.45,0.45,0.45,0.0612905842727721,0.0293934752547605,0.000176237551477804,299,299,299 -"724","IAR_LU_subtracted","myocardium RV",100,0.15,0.08,0.0024,0.145564204173756,0.0781560546050807,0.00240130488986735,0.45,0.45,0.45,0.45,0.45,0.45,0.0307895196530896,0.0218220991047788,8.77945387539921e-05,299,299,299 -"725","IAR_LU_subtracted","myocardium RV",200,0.15,0.08,0.0024,0.148714772596565,0.0805762053100926,0.00240036245148733,0.45,0.45,0.45,0.45,0.45,0.45,0.0145240155122644,0.0147743447447439,4.38595760806971e-05,299,299,299 -"726","IAR_LU_subtracted","pancreas",10,0.15,0.01,0.00129999999999999,0.145973572791277,0.0418322359345869,0.00134733544815708,0.45,0.45,0.45,0.45,0.45,0.45,0.133409111984285,0.0427515729870689,0.000431649675978663,299,299,299 -"727","IAR_LU_subtracted","pancreas",30,0.15,0.01,0.00129999999999999,0.128614984268459,0.0196787383317491,0.00133082551202286,0.45,0.45,0.45,0.45,0.45,0.45,0.0591082064465484,0.0231057149671265,0.000139043274945453,299,299,299 -"728","IAR_LU_subtracted","pancreas",50,0.15,0.01,0.00129999999999999,0.129890010988128,0.014418840532864,0.00132993185853207,0.45,0.45,0.45,0.45,0.45,0.45,0.0358391575513234,0.0125046852807563,8.31806812154377e-05,299,299,299 -"729","IAR_LU_subtracted","pancreas",100,0.15,0.01,0.00129999999999999,0.130754692398513,0.0119016729036151,0.00132978575875502,0.45,0.45,0.45,0.45,0.45,0.45,0.0179785444573827,0.00250589698561192,4.15321586456171e-05,299,299,299 -"730","IAR_LU_subtracted","pancreas",200,0.15,0.01,0.00129999999999999,0.131107657691518,0.0115757199693789,0.00132987961477637,0.45,0.45,0.45,0.45,0.45,0.45,0.00899900314885932,0.00109942059007681,2.07569285081239e-05,299,299,299 -"731","IAR_LU_subtracted","pericardium",10,0.07,0.00999999999999999,0.003,0.182005007344476,0.0449399513343394,0.00273701082230784,0.45,0.45,0.45,0.45,0.45,0.45,0.199393895082264,0.0446081430054895,0.00088504212200084,299,299,299 -"732","IAR_LU_subtracted","pericardium",30,0.07,0.00999999999999999,0.003,0.0767264387057665,0.0483395662495535,0.00304612925895245,0.45,0.45,0.45,0.45,0.45,0.45,0.0884446645225644,0.0443972230787564,0.00039105626191339,299,299,299 -"733","IAR_LU_subtracted","pericardium",50,0.07,0.00999999999999999,0.003,0.060765317251112,0.0422176464039951,0.00304009046144298,0.45,0.45,0.45,0.45,0.45,0.45,0.0613396076316471,0.0421072613162647,0.000238152536499515,299,299,299 -"734","IAR_LU_subtracted","pericardium",100,0.07,0.00999999999999999,0.003,0.0523575780666355,0.0289300542806783,0.00303324788669806,0.45,0.45,0.45,0.45,0.45,0.45,0.0371516507191181,0.0324742655660579,0.000118500604743613,299,299,299 -"735","IAR_LU_subtracted","pericardium",200,0.07,0.00999999999999999,0.003,0.0514683102067133,0.0168738578171833,0.00303117957616411,0.45,0.45,0.45,0.45,0.45,0.45,0.0206465635019397,0.0152473956782957,5.91963411917844e-05,299,299,299 -"736","IAR_LU_subtracted","right kidney medulla",10,0.158,0.019,0.00209,0.179099288028231,0.0482195956241905,0.00210934037383571,0.45,0.45,0.45,0.45,0.45,0.45,0.173901182630869,0.0430434816693402,0.000728386366312476,299,299,299 -"737","IAR_LU_subtracted","right kidney medulla",30,0.158,0.019,0.00209,0.149852727318598,0.0336478370603615,0.00210327080298252,0.45,0.45,0.45,0.45,0.45,0.45,0.081471885999975,0.0294636447791161,0.000242646564228503,299,299,299 -"738","IAR_LU_subtracted","right kidney medulla",50,0.158,0.019,0.00209,0.152083542364696,0.0260759822074301,0.00209789750114162,0.45,0.45,0.45,0.45,0.45,0.45,0.0514396254060103,0.0189502415057605,0.000144591388188289,299,299,299 -"739","IAR_LU_subtracted","right kidney medulla",100,0.158,0.019,0.00209,0.154245618481177,0.0209707843980588,0.00209573127130611,0.45,0.45,0.45,0.45,0.45,0.45,0.0255469057806363,0.00644713982295025,7.20856679148625e-05,299,299,299 -"740","IAR_LU_subtracted","right kidney medulla",200,0.158,0.019,0.00209,0.154953783957048,0.0198168666853734,0.00209523459722322,0.45,0.45,0.45,0.45,0.45,0.45,0.0127402035219187,0.00249340492966497,3.60164249883863e-05,299,299,299 -"741","IAR_LU_subtracted","Right kydney cortex",10,0.097,0.02,0.00212,0.14213979402731,0.0516239847830045,0.00214004719496282,0.45,0.45,0.45,0.45,0.45,0.45,0.158085677025204,0.0439945158267697,0.000693964401384033,299,299,299 -"742","IAR_LU_subtracted","Right kydney cortex",30,0.097,0.02,0.00212,0.0959338993097258,0.0420674391434868,0.0021297407037008,0.45,0.45,0.45,0.45,0.45,0.45,0.0739900026008641,0.0375303377351247,0.000230468547854172,299,299,299 -"743","IAR_LU_subtracted","Right kydney cortex",50,0.097,0.02,0.00212,0.0934315763431255,0.0340972382270603,0.00212486470550974,0.45,0.45,0.45,0.45,0.45,0.45,0.0500162693148626,0.0291160218598072,0.000137434850582313,299,299,299 -"744","IAR_LU_subtracted","Right kydney cortex",100,0.097,0.02,0.00212,0.0945576430053885,0.0249352943322664,0.00212288817087808,0.45,0.45,0.45,0.45,0.45,0.45,0.0260691727759818,0.0148441465104737,6.85394294758574e-05,299,299,299 -"745","IAR_LU_subtracted","Right kydney cortex",200,0.097,0.02,0.00212,0.0952975146331108,0.0214206497432682,0.00212243012687663,0.45,0.45,0.45,0.45,0.45,0.45,0.0128746185695077,0.00497159905944298,3.42474968787025e-05,299,299,299 -"746","IAR_LU_subtracted","small intestine",10,0.69,0.029,0.00131,0.649071571639429,0.037464324397123,0.00128397090175435,0.45,0.45,0.45,0.45,0.45,0.45,0.187010914793362,0.0225038113743857,0.0010310750352814,299,299,299 -"747","IAR_LU_subtracted","small intestine",30,0.69,0.029,0.00131,0.681939176198207,0.0302945345465633,0.00132700874616123,0.45,0.45,0.45,0.45,0.45,0.45,0.0603891142492399,0.00615614452326418,0.000393814792063893,299,299,299 -"748","IAR_LU_subtracted","small intestine",50,0.69,0.029,0.00131,0.686488325345437,0.0294805288039652,0.00131674147785283,0.45,0.45,0.45,0.45,0.45,0.45,0.0350265291349697,0.00317717209152528,0.000231513954749497,299,299,299 -"749","IAR_LU_subtracted","small intestine",100,0.69,0.029,0.00131,0.688499643316856,0.029166381361068,0.00131311787679812,0.45,0.45,0.45,0.45,0.45,0.45,0.0172978748915505,0.00151214165319551,0.000114727932084214,299,299,299 -"750","IAR_LU_subtracted","small intestine",200,0.69,0.029,0.00131,0.689091142138875,0.0290838262952531,0.00131259560662869,0.45,0.45,0.45,0.45,0.45,0.45,0.00862471112761152,0.000746769041454522,5.72226395519967e-05,299,299,299 -"751","IAR_LU_subtracted","spleen",10,0.2,0.03,0.00129999999999999,0.192961858260559,0.0492597470738909,0.00131869223769686,0.45,0.45,0.45,0.45,0.45,0.45,0.14672006477452,0.0390143038859564,0.000459161541284809,299,299,299 -"752","IAR_LU_subtracted","spleen",30,0.2,0.03,0.00129999999999999,0.195619974063773,0.0378660228770973,0.00130108907088979,0.45,0.45,0.45,0.45,0.45,0.45,0.0582480816426133,0.0230396606877878,0.000147366538355311,299,299,299 -"753","IAR_LU_subtracted","spleen",50,0.2,0.03,0.00129999999999999,0.198125993490742,0.0334346769905656,0.00130009526398064,0.45,0.45,0.45,0.45,0.45,0.45,0.033860026554998,0.0141196943300376,8.81308203353264e-05,299,299,299 -"754","IAR_LU_subtracted","spleen",100,0.2,0.03,0.00129999999999999,0.199199769344964,0.0308742355909984,0.001299928493873,0.45,0.45,0.45,0.45,0.45,0.45,0.0167658026535138,0.00575644302154389,4.39969723252588e-05,299,299,299 -"755","IAR_LU_subtracted","spleen",200,0.2,0.03,0.00129999999999999,0.199585281953296,0.0302681533889609,0.00130002911399547,0.45,0.45,0.45,0.45,0.45,0.45,0.00835864747465978,0.00272874833953629,2.19877335574001e-05,299,299,299 -"756","IAR_LU_subtracted","st wall",10,0.3,0.012,0.0015,0.262694585680195,0.0319185653801386,0.00157773932710541,0.45,0.45,0.45,0.45,0.45,0.45,0.172890946488421,0.0349074029422235,0.000614593950499859,299,299,299 -"757","IAR_LU_subtracted","st wall",30,0.3,0.012,0.0015,0.271112584934838,0.0157552797151743,0.00155214816764873,0.45,0.45,0.45,0.45,0.45,0.45,0.0670076659202155,0.0109054102082447,0.00019551156370717,299,299,299 -"758","IAR_LU_subtracted","st wall",50,0.3,0.012,0.0015,0.273986799953669,0.013806573219354,0.00154952132488848,0.45,0.45,0.45,0.45,0.45,0.45,0.0398746950657118,0.00322902951392831,0.00011668052444887,299,299,299 -"759","IAR_LU_subtracted","st wall",100,0.3,0.012,0.0015,0.275412083141614,0.0133114999997825,0.0015486735829641,0.45,0.45,0.45,0.45,0.45,0.45,0.0199011338224045,0.00132338051992791,5.81996976856253e-05,299,299,299 -"760","IAR_LU_subtracted","st wall",200,0.3,0.012,0.0015,0.275903272911037,0.0131993048909566,0.00154860379618769,0.45,0.45,0.45,0.45,0.45,0.45,0.00994694081242093,0.000634013714884041,2.90796048726369e-05,299,299,299 -"761","IAR_LU_subtracted","trans lower intestine",10,0.69,0.029,0.00130999999999999,0.649071571567166,0.037464324385318,0.00128397090178629,0.45,0.45,0.45,0.45,0.45,0.45,0.187010915027799,0.0225038113468096,0.00103107503559299,299,299,299 -"762","IAR_LU_subtracted","trans lower intestine",30,0.69,0.029,0.00130999999999999,0.681939176203752,0.0302945345463009,0.00132700874615982,0.45,0.45,0.45,0.45,0.45,0.45,0.0603891142173648,0.00615614452231295,0.000393814791967693,299,299,299 -"763","IAR_LU_subtracted","trans lower intestine",50,0.69,0.029,0.00130999999999999,0.686488325340787,0.0294805288049083,0.00131674147788471,0.45,0.45,0.45,0.45,0.45,0.45,0.0350265291502769,0.00317717209269235,0.000231513954838717,299,299,299 -"764","IAR_LU_subtracted","trans lower intestine",100,0.69,0.029,0.00130999999999999,0.688499643316927,0.0291663813609283,0.00131311787679501,0.45,0.45,0.45,0.45,0.45,0.45,0.0172978748928733,0.00151214165340536,0.000114727932099834,299,299,299 -"765","IAR_LU_subtracted","trans lower intestine",200,0.69,0.029,0.00130999999999999,0.689091142135544,0.0290838262954833,0.0013125956066485,0.45,0.45,0.45,0.45,0.45,0.45,0.0086247111300983,0.000746769041458226,5.72226395704009e-05,299,299,299 -"766","IAR_LU_subtracted","Vein",10,1,0.1,0.00299999999999999,0.868045922383658,0.0985985293150582,0.000602377539365262,0.45,0.45,0.45,0.45,0.45,0.45,0.112435321603995,0.00440048348201647,0.000954240122974581,299,299,299 -"767","IAR_LU_subtracted","Vein",30,1,0.1,0.00299999999999999,0.957942477946852,0.0996184418326707,0.00060239305244365,0.45,0.45,0.45,0.45,0.45,0.45,0.0334473349561743,0.00133438593435031,0.000954268289514292,299,299,299 -"768","IAR_LU_subtracted","Vein",50,1,0.1,0.00299999999999999,0.974974772688412,0.0997749955436001,0.000602405603200741,0.45,0.45,0.45,0.45,0.45,0.45,0.0196506919525737,0.000799331221169125,0.000954266532348308,299,299,299 -"769","IAR_LU_subtracted","Vein",100,1,0.1,0.00299999999999999,0.987563371296023,0.0998909406437419,0.000602442811986694,0.45,0.45,0.45,0.45,0.45,0.45,0.00967550352550441,0.000393844437618856,0.000954286483399826,299,299,299 -"770","IAR_LU_subtracted","Vein",200,1,0.1,0.00299999999999999,0.993800432483541,0.0999475578951229,0.000602417326124585,0.45,0.45,0.45,0.45,0.45,0.45,0.00480131473453758,0.000192683440678621,0.000954060412685357,299,299,299 -"771","OGC_AmsterdamUMC_Bayesian_biexp","Artery",10,1,0.1,0.00299999999999999,0.914296491555338,0.124951038793113,0.000341385836346878,0.45,0.45,0.45,0.45,0.45,0.45,0.0338708793554179,0.0264916209809969,0.000759817538796138,299,299,299 -"772","OGC_AmsterdamUMC_Bayesian_biexp","Artery",30,1,0.1,0.00299999999999999,0.973099807358183,0.107393310942733,0.000232219877437837,0.45,0.45,0.45,0.45,0.45,0.45,0.00780496299937427,0.0074829521952279,0.00043041785307833,299,299,299 -"773","OGC_AmsterdamUMC_Bayesian_biexp","Artery",50,1,0.1,0.00299999999999999,0.984111285718873,0.104286408561905,0.000213374220328371,0.45,0.45,0.45,0.45,0.45,0.45,0.00467667444727816,0.00434410118359876,0.000410079720796856,299,299,299 -"774","OGC_AmsterdamUMC_Bayesian_biexp","Artery",100,1,0.1,0.00299999999999999,0.992309612905833,0.102048030144424,0.000179453382811866,0.45,0.45,0.45,0.45,0.45,0.45,0.00230378284786357,0.0021258030726679,0.000377336398764356,299,299,299 -"775","OGC_AmsterdamUMC_Bayesian_biexp","Artery",200,1,0.1,0.00299999999999999,0.996293986630143,0.100989063013544,0.00015368212515944,0.45,0.45,0.45,0.45,0.45,0.45,0.00114638308696868,0.00105306099406643,0.000356019702228346,299,299,299 -"776","OGC_AmsterdamUMC_Bayesian_biexp","asc lower intestine",10,0.69,0.029,0.00131,0.694246808778769,0.0332124281614618,0.00115662969455558,0.45,0.45,0.45,0.45,0.45,0.45,0.110159746203623,0.0193048930533793,0.000818020501222016,299,299,299 -"777","OGC_AmsterdamUMC_Bayesian_biexp","asc lower intestine",30,0.69,0.029,0.00131,0.690033147644459,0.0293545237816436,0.00129905886269543,0.45,0.45,0.45,0.45,0.45,0.45,0.036083088630791,0.00362951393892406,0.000284878762206832,299,299,299 -"778","OGC_AmsterdamUMC_Bayesian_biexp","asc lower intestine",50,0.69,0.029,0.00131,0.689921467398159,0.029138651533785,0.00130314910724909,0.45,0.45,0.45,0.45,0.45,0.45,0.0213772215849651,0.00213834289461457,0.00016610479346135,299,299,299 -"779","OGC_AmsterdamUMC_Bayesian_biexp","asc lower intestine",100,0.69,0.029,0.00131,0.689705414601575,0.0291477643601371,0.0013080534895242,0.45,0.45,0.45,0.45,0.45,0.45,0.0108249806858387,0.00129122051220513,8.27804115283052e-05,299,299,299 -"780","OGC_AmsterdamUMC_Bayesian_biexp","asc lower intestine",200,0.69,0.029,0.00131,0.689676530218629,0.0290763054841384,0.00130801784811619,0.45,0.45,0.45,0.45,0.45,0.45,0.00583323341091172,0.000767401324572525,4.21804967296496e-05,299,299,299 -"781","OGC_AmsterdamUMC_Bayesian_biexp","Blood RA",10,1,0.1,0.00299999999999999,0.914296491555338,0.124951038793113,0.000341385836346878,0.45,0.45,0.45,0.45,0.45,0.45,0.0338708793554179,0.0264916209809969,0.000759817538796138,299,299,299 -"782","OGC_AmsterdamUMC_Bayesian_biexp","Blood RA",30,1,0.1,0.00299999999999999,0.973099807358183,0.107393310942733,0.000232219877437837,0.45,0.45,0.45,0.45,0.45,0.45,0.00780496299937427,0.0074829521952279,0.00043041785307833,299,299,299 -"783","OGC_AmsterdamUMC_Bayesian_biexp","Blood RA",50,1,0.1,0.00299999999999999,0.984111285718873,0.104286408561905,0.000213374220328371,0.45,0.45,0.45,0.45,0.45,0.45,0.00467667444727816,0.00434410118359876,0.000410079720796856,299,299,299 -"784","OGC_AmsterdamUMC_Bayesian_biexp","Blood RA",100,1,0.1,0.00299999999999999,0.992309612905833,0.102048030144424,0.000179453382811866,0.45,0.45,0.45,0.45,0.45,0.45,0.00230378284786357,0.0021258030726679,0.000377336398764356,299,299,299 -"785","OGC_AmsterdamUMC_Bayesian_biexp","Blood RA",200,1,0.1,0.00299999999999999,0.996293986630143,0.100989063013544,0.00015368212515944,0.45,0.45,0.45,0.45,0.45,0.45,0.00114638308696868,0.00105306099406643,0.000356019702228346,299,299,299 -"786","OGC_AmsterdamUMC_Bayesian_biexp","Blood RV",10,1,0.1,0.003,0.914297401004746,0.124952391582887,0.000341385315837157,0.45,0.45,0.45,0.45,0.45,0.45,0.0338704200880721,0.0264919309675768,0.000759817497225985,299,299,299 -"787","OGC_AmsterdamUMC_Bayesian_biexp","Blood RV",30,1,0.1,0.003,0.973099598376866,0.107393352119341,0.000232219992515836,0.45,0.45,0.45,0.45,0.45,0.45,0.00780473426493649,0.00748303413275565,0.000430417814946813,299,299,299 -"788","OGC_AmsterdamUMC_Bayesian_biexp","Blood RV",50,1,0.1,0.003,0.984110980162476,0.104286733344672,0.000213374085275976,0.45,0.45,0.45,0.45,0.45,0.45,0.00467665532925233,0.00434422535404416,0.000410079794992667,299,299,299 -"789","OGC_AmsterdamUMC_Bayesian_biexp","Blood RV",100,1,0.1,0.003,0.992309672842335,0.102048011852143,0.000179453249523488,0.45,0.45,0.45,0.45,0.45,0.45,0.00230376286511362,0.00212585312384098,0.0003773364651911,299,299,299 -"790","OGC_AmsterdamUMC_Bayesian_biexp","Blood RV",200,1,0.1,0.003,0.996293917212231,0.100989102049737,0.000153682190571484,0.45,0.45,0.45,0.45,0.45,0.45,0.0011463180878882,0.00105305653525395,0.000356019214536034,299,299,299 -"791","OGC_AmsterdamUMC_Bayesian_biexp","desc lower intestine",10,0.69,0.029,0.00131,0.694246845378351,0.0332125427670004,0.00115663122095504,0.45,0.45,0.45,0.45,0.45,0.45,0.110160150700988,0.0193048206014305,0.000818021742499563,299,299,299 -"792","OGC_AmsterdamUMC_Bayesian_biexp","desc lower intestine",30,0.69,0.029,0.00131,0.690033102633023,0.0293545254824597,0.00129905896131927,0.45,0.45,0.45,0.45,0.45,0.45,0.0360830639131271,0.00362951206875517,0.000284879125083764,299,299,299 -"793","OGC_AmsterdamUMC_Bayesian_biexp","desc lower intestine",50,0.69,0.029,0.00131,0.689855673695442,0.0291428811190877,0.00130360554367507,0.45,0.45,0.45,0.45,0.45,0.45,0.0213154090326844,0.0021325877974294,0.000165776474780529,299,299,299 -"794","OGC_AmsterdamUMC_Bayesian_biexp","desc lower intestine",100,0.69,0.029,0.00131,0.689705423019645,0.029147764170286,0.0013080534599478,0.45,0.45,0.45,0.45,0.45,0.45,0.0108249733952305,0.00129122098709657,8.27803296124957e-05,299,299,299 -"795","OGC_AmsterdamUMC_Bayesian_biexp","desc lower intestine",200,0.69,0.029,0.00131,0.689676538098746,0.0290763056742895,0.00130801775791647,0.45,0.45,0.45,0.45,0.45,0.45,0.00583319664850218,0.000767398183974445,4.21801838019575e-05,299,299,299 -"796","OGC_AmsterdamUMC_Bayesian_biexp","esophagus",10,0.32,0.03,0.00167,0.360637899450531,0.150015035300945,0.00154163012889772,0.45,0.45,0.45,0.45,0.45,0.45,0.145804400624309,0.408781901041917,0.000573900089132158,299,299,299 -"797","OGC_AmsterdamUMC_Bayesian_biexp","esophagus",30,0.32,0.03,0.00167,0.324529872967669,0.0317518374749041,0.00165212464195461,0.45,0.45,0.45,0.45,0.45,0.45,0.0414528790987675,0.0103045951447145,0.000164116794767313,299,299,299 -"798","OGC_AmsterdamUMC_Bayesian_biexp","esophagus",50,0.32,0.03,0.00167,0.321549234493634,0.0304971461578369,0.00166183273930351,0.45,0.45,0.45,0.45,0.45,0.45,0.0241327106085618,0.00522281089218448,9.5709457545869e-05,299,299,299 -"799","OGC_AmsterdamUMC_Bayesian_biexp","esophagus",100,0.32,0.03,0.00167,0.320358986396952,0.0301033633872045,0.00166686163779349,0.45,0.45,0.45,0.45,0.45,0.45,0.0118402073184446,0.0024750605047479,4.70827199323266e-05,299,299,299 -"800","OGC_AmsterdamUMC_Bayesian_biexp","esophagus",200,0.32,0.03,0.00167,0.320077349575714,0.0300206336245331,0.00166866751965742,0.45,0.45,0.45,0.45,0.45,0.45,0.00588722515360254,0.00122081272855179,2.34329155568217e-05,299,299,299 -"801","OGC_AmsterdamUMC_Bayesian_biexp","esophagus cont",10,0.32,0.03,0.00167,0.360637899450531,0.150015035300945,0.00154163012889772,0.45,0.45,0.45,0.45,0.45,0.45,0.145804400624309,0.408781901041917,0.000573900089132158,299,299,299 -"802","OGC_AmsterdamUMC_Bayesian_biexp","esophagus cont",30,0.32,0.03,0.00167,0.324529872967669,0.0317518374749041,0.00165212464195461,0.45,0.45,0.45,0.45,0.45,0.45,0.0414528790987675,0.0103045951447145,0.000164116794767313,299,299,299 -"803","OGC_AmsterdamUMC_Bayesian_biexp","esophagus cont",50,0.32,0.03,0.00167,0.321549234493634,0.0304971461578369,0.00166183273930351,0.45,0.45,0.45,0.45,0.45,0.45,0.0241327106085618,0.00522281089218448,9.5709457545869e-05,299,299,299 -"804","OGC_AmsterdamUMC_Bayesian_biexp","esophagus cont",100,0.32,0.03,0.00167,0.320358986396952,0.0301033633872045,0.00166686163779349,0.45,0.45,0.45,0.45,0.45,0.45,0.0118402073184446,0.0024750605047479,4.70827199323266e-05,299,299,299 -"805","OGC_AmsterdamUMC_Bayesian_biexp","esophagus cont",200,0.32,0.03,0.00167,0.320077349575714,0.0300206336245331,0.00166866751965742,0.45,0.45,0.45,0.45,0.45,0.45,0.00588722515360254,0.00122081272855179,2.34329155568217e-05,299,299,299 -"806","OGC_AmsterdamUMC_Bayesian_biexp","Left kidney cortex",10,0.097,0.02,0.00212,0.188596572685199,0.385831039883312,0.00189897609609498,0.45,0.45,0.45,0.45,0.45,0.45,0.198632494096536,0.722936113519617,0.000578513574841219,299,299,299 -"807","OGC_AmsterdamUMC_Bayesian_biexp","Left kidney cortex",30,0.097,0.02,0.00212,0.141555513319658,0.17712340325286,0.00204073967739921,0.45,0.45,0.45,0.45,0.45,0.45,0.111543619821617,0.465680625794026,0.000257701453860321,299,299,299 -"808","OGC_AmsterdamUMC_Bayesian_biexp","Left kidney cortex",50,0.097,0.02,0.00212,0.118643922081606,0.0421244291772527,0.00207969517502297,0.45,0.45,0.45,0.45,0.45,0.45,0.0678075161062481,0.14086594416881,0.000152120320312512,299,299,299 -"809","OGC_AmsterdamUMC_Bayesian_biexp","Left kidney cortex",100,0.097,0.02,0.00212,0.100892171431045,0.0228352809862843,0.00211127104503827,0.45,0.45,0.45,0.45,0.45,0.45,0.0233124510593522,0.0197315452249424,6.31243655675189e-05,299,299,299 -"810","OGC_AmsterdamUMC_Bayesian_biexp","Left kidney cortex",200,0.097,0.02,0.00212,0.0979494403439556,0.0203223996833872,0.00211717788580963,0.45,0.45,0.45,0.45,0.45,0.45,0.0105263254249096,0.00334817852355355,2.95709044563407e-05,299,299,299 -"811","OGC_AmsterdamUMC_Bayesian_biexp","left kidney medulla",10,0.158,0.019,0.00209,0.253952864002308,0.304950429151423,0.00184048044876738,0.45,0.45,0.45,0.45,0.45,0.45,0.214213197637933,0.626011038245362,0.000641541700037926,299,299,299 -"812","OGC_AmsterdamUMC_Bayesian_biexp","left kidney medulla",30,0.158,0.019,0.00209,0.190171130178663,0.0511649495124037,0.00202203579587968,0.45,0.45,0.45,0.45,0.45,0.45,0.10459577771387,0.179584363579514,0.00027313693132376,299,299,299 -"813","OGC_AmsterdamUMC_Bayesian_biexp","left kidney medulla",50,0.158,0.019,0.00209,0.168047576006992,0.0329672911242216,0.00206752781385879,0.45,0.45,0.45,0.45,0.45,0.45,0.0512709641268927,0.126949727330615,0.000142980386093099,299,299,299 -"814","OGC_AmsterdamUMC_Bayesian_biexp","left kidney medulla",100,0.158,0.019,0.00209,0.160311837881477,0.0195051664051028,0.0020832233100509,0.45,0.45,0.45,0.45,0.45,0.45,0.0220990967930741,0.00402428297219528,6.45335266457197e-05,299,299,299 -"815","OGC_AmsterdamUMC_Bayesian_biexp","left kidney medulla",200,0.158,0.019,0.00209,0.158557258249577,0.0191206454505599,0.00208778234601869,0.45,0.45,0.45,0.45,0.45,0.45,0.0107178685553389,0.00195416181473647,3.17220496353745e-05,299,299,299 -"816","OGC_AmsterdamUMC_Bayesian_biexp","Liver",10,0.11,0.1,0.0015,0.170376564882108,0.469616209489762,0.00136302767202211,0.45,0.45,0.45,0.45,0.45,0.45,0.138211368776015,0.731976840414104,0.000361913909318564,299,299,299 -"817","OGC_AmsterdamUMC_Bayesian_biexp","Liver",30,0.11,0.1,0.0015,0.11810940657777,0.227068026042997,0.0014860402075791,0.45,0.45,0.45,0.45,0.45,0.45,0.0342593875584427,0.390847594433051,9.96091018932598e-05,299,299,299 -"818","OGC_AmsterdamUMC_Bayesian_biexp","Liver",50,0.11,0.1,0.0015,0.112169947194152,0.131862486304358,0.00149587941679805,0.45,0.45,0.45,0.45,0.45,0.45,0.0153976558796226,0.168625986104975,5.11568481112502e-05,299,299,299 -"819","OGC_AmsterdamUMC_Bayesian_biexp","Liver",100,0.11,0.1,0.0015,0.110516960663717,0.104566165417941,0.00149817275530986,0.45,0.45,0.45,0.45,0.45,0.45,0.00752550525764433,0.0281966308117207,2.46815644447154e-05,299,299,299 -"820","OGC_AmsterdamUMC_Bayesian_biexp","Liver",200,0.11,0.1,0.0015,0.110097109059224,0.101175495734664,0.00149922432315367,0.45,0.45,0.45,0.45,0.45,0.45,0.00376626520198992,0.0116170123481358,1.22063280870859e-05,299,299,299 -"821","OGC_AmsterdamUMC_Bayesian_biexp","Myocardium LV",10,0.15,0.08,0.0024,0.246528057993086,0.348133573670134,0.00209292204576382,0.45,0.45,0.45,0.45,0.45,0.45,0.181136487063064,0.627154956139103,0.000656664356996355,299,299,299 -"822","OGC_AmsterdamUMC_Bayesian_biexp","Myocardium LV",30,0.15,0.08,0.0024,0.158668838613204,0.150740461102485,0.00238012869761748,0.45,0.45,0.45,0.45,0.45,0.45,0.0443353824331391,0.290507087513729,0.000184759298657244,299,299,299 -"823","OGC_AmsterdamUMC_Bayesian_biexp","Myocardium LV",50,0.15,0.08,0.0024,0.151909831264822,0.0991014776301079,0.00239319000458008,0.45,0.45,0.45,0.45,0.45,0.45,0.0178980966389395,0.159015209142849,9.10430294136255e-05,299,299,299 -"824","OGC_AmsterdamUMC_Bayesian_biexp","Myocardium LV",100,0.15,0.08,0.0024,0.150454060272023,0.0818373819943648,0.00239709009607841,0.45,0.45,0.45,0.45,0.45,0.45,0.00854549598591259,0.0146137633049668,4.39787671840434e-05,299,299,299 -"825","OGC_AmsterdamUMC_Bayesian_biexp","Myocardium LV",200,0.15,0.08,0.0024,0.150083028962968,0.0805213406256401,0.00239877336481973,0.45,0.45,0.45,0.45,0.45,0.45,0.00424830284517062,0.00705220839059697,2.18885732842309e-05,299,299,299 -"826","OGC_AmsterdamUMC_Bayesian_biexp","myocardium ra",10,0.07,0.07,0.0015,0.132992854081483,0.461997483376288,0.00136831570972518,0.45,0.45,0.45,0.45,0.45,0.45,0.140522743944648,0.734010313718581,0.000346091519424476,299,299,299 -"827","OGC_AmsterdamUMC_Bayesian_biexp","myocardium ra",30,0.07,0.07,0.0015,0.0884517939449098,0.289658964780844,0.0014676259819499,0.45,0.45,0.45,0.45,0.45,0.45,0.0508441257041168,0.529373222441277,0.000119387045545757,299,299,299 -"828","OGC_AmsterdamUMC_Bayesian_biexp","myocardium ra",50,0.07,0.07,0.0015,0.0761265927150077,0.156862196421825,0.00148987685522847,0.45,0.45,0.45,0.45,0.45,0.45,0.0242266882566584,0.309458478938769,6.34852979630936e-05,299,299,299 -"829","OGC_AmsterdamUMC_Bayesian_biexp","myocardium ra",100,0.07,0.07,0.0015,0.0709638888897991,0.0784496324481009,0.00149743190633742,0.45,0.45,0.45,0.45,0.45,0.45,0.00811747399978573,0.0469212398862685,2.52774164583531e-05,299,299,299 -"830","OGC_AmsterdamUMC_Bayesian_biexp","myocardium ra",200,0.07,0.07,0.0015,0.0701854186634233,0.0715583354856421,0.00149905296281753,0.45,0.45,0.45,0.45,0.45,0.45,0.00403493989933669,0.0129671102252917,1.23364517371494e-05,299,299,299 -"831","OGC_AmsterdamUMC_Bayesian_biexp","myocardium RV",10,0.15,0.08,0.0024,0.246528057993086,0.348133573670134,0.00209292204576382,0.45,0.45,0.45,0.45,0.45,0.45,0.181136487063064,0.627154956139103,0.000656664356996355,299,299,299 -"832","OGC_AmsterdamUMC_Bayesian_biexp","myocardium RV",30,0.15,0.08,0.0024,0.158668838613204,0.150740461102485,0.00238012869761748,0.45,0.45,0.45,0.45,0.45,0.45,0.0443353824331391,0.290507087513729,0.000184759298657244,299,299,299 -"833","OGC_AmsterdamUMC_Bayesian_biexp","myocardium RV",50,0.15,0.08,0.0024,0.151909831264822,0.0991014776301079,0.00239319000458008,0.45,0.45,0.45,0.45,0.45,0.45,0.0178980966389395,0.159015209142849,9.10430294136255e-05,299,299,299 -"834","OGC_AmsterdamUMC_Bayesian_biexp","myocardium RV",100,0.15,0.08,0.0024,0.150454060272023,0.0818373819943648,0.00239709009607841,0.45,0.45,0.45,0.45,0.45,0.45,0.00854549598591259,0.0146137633049668,4.39787671840434e-05,299,299,299 -"835","OGC_AmsterdamUMC_Bayesian_biexp","myocardium RV",200,0.15,0.08,0.0024,0.150083028962968,0.0805213406256401,0.00239877336481973,0.45,0.45,0.45,0.45,0.45,0.45,0.00424830284517062,0.00705220839059697,2.18885732842309e-05,299,299,299 -"836","OGC_AmsterdamUMC_Bayesian_biexp","pancreas",10,0.15,0.01,0.00129999999999999,0.177581724321138,0.43065718969884,0.00125654974398315,0.45,0.45,0.45,0.45,0.45,0.45,0.165637117410062,0.745081523961432,0.000402663506351594,299,299,299 -"837","OGC_AmsterdamUMC_Bayesian_biexp","pancreas",30,0.15,0.01,0.00129999999999999,0.176565399528607,0.0605254346275223,0.00126098577319189,0.45,0.45,0.45,0.45,0.45,0.45,0.0941306062972586,0.26112658574032,0.000185523030805802,299,299,299 -"838","OGC_AmsterdamUMC_Bayesian_biexp","pancreas",50,0.15,0.01,0.00129999999999999,0.169797776388179,0.0172281215928433,0.00126914664260273,0.45,0.45,0.45,0.45,0.45,0.45,0.0691911662849515,0.0530402156979167,0.000129620496323605,299,299,299 -"839","OGC_AmsterdamUMC_Bayesian_biexp","pancreas",100,0.15,0.01,0.00129999999999999,0.156843915754002,0.0102744645346462,0.00128825630219321,0.45,0.45,0.45,0.45,0.45,0.45,0.0330983274466555,0.00280593527748534,6.19639236378919e-05,299,299,299 -"840","OGC_AmsterdamUMC_Bayesian_biexp","pancreas",200,0.15,0.01,0.00129999999999999,0.151525028767084,0.0100578225668435,0.00129696544759154,0.45,0.45,0.45,0.45,0.45,0.45,0.0150042143805674,0.00127728832085491,2.90654102466401e-05,299,299,299 -"841","OGC_AmsterdamUMC_Bayesian_biexp","pericardium",10,0.07,0.00999999999999999,0.003,0.211255537581016,0.249229775871576,0.00250125413556506,0.45,0.45,0.45,0.45,0.45,0.45,0.261211569379197,0.559657730577179,0.000882896050374514,299,299,299 -"842","OGC_AmsterdamUMC_Bayesian_biexp","pericardium",30,0.07,0.00999999999999999,0.003,0.129163583048985,0.267009677446907,0.00288255604574022,0.45,0.45,0.45,0.45,0.45,0.45,0.17935605322893,0.595048801434633,0.000417501553796525,299,299,299 -"843","OGC_AmsterdamUMC_Bayesian_biexp","pericardium",50,0.07,0.00999999999999999,0.003,0.117317522254229,0.229011081795502,0.0029314606487806,0.45,0.45,0.45,0.45,0.45,0.45,0.148570783679304,0.554095364539563,0.000298907038283006,299,299,299 -"844","OGC_AmsterdamUMC_Bayesian_biexp","pericardium",100,0.07,0.00999999999999999,0.003,0.116118730669429,0.0999844203861992,0.00294503908419238,0.45,0.45,0.45,0.45,0.45,0.45,0.115927313526193,0.331589357967683,0.000200447722297107,299,299,299 -"845","OGC_AmsterdamUMC_Bayesian_biexp","pericardium",200,0.07,0.00999999999999999,0.003,0.0985240401785247,0.0153444939154568,0.00296476284362889,0.45,0.45,0.45,0.45,0.45,0.45,0.0771271956803151,0.0234254542116207,0.000123398388298247,299,299,299 -"846","OGC_AmsterdamUMC_Bayesian_biexp","right kidney medulla",10,0.158,0.019,0.00209,0.253952864002308,0.304950429151423,0.00184048044876738,0.45,0.45,0.45,0.45,0.45,0.45,0.214213197637933,0.626011038245362,0.000641541700037926,299,299,299 -"847","OGC_AmsterdamUMC_Bayesian_biexp","right kidney medulla",30,0.158,0.019,0.00209,0.190171130178663,0.0511649495124037,0.00202203579587968,0.45,0.45,0.45,0.45,0.45,0.45,0.10459577771387,0.179584363579514,0.00027313693132376,299,299,299 -"848","OGC_AmsterdamUMC_Bayesian_biexp","right kidney medulla",50,0.158,0.019,0.00209,0.168047576006992,0.0329672911242216,0.00206752781385879,0.45,0.45,0.45,0.45,0.45,0.45,0.0512709641268927,0.126949727330615,0.000142980386093099,299,299,299 -"849","OGC_AmsterdamUMC_Bayesian_biexp","right kidney medulla",100,0.158,0.019,0.00209,0.160311837881477,0.0195051664051028,0.0020832233100509,0.45,0.45,0.45,0.45,0.45,0.45,0.0220990967930741,0.00402428297219528,6.45335266457197e-05,299,299,299 -"850","OGC_AmsterdamUMC_Bayesian_biexp","right kidney medulla",200,0.158,0.019,0.00209,0.158557258249577,0.0191206454505599,0.00208778234601869,0.45,0.45,0.45,0.45,0.45,0.45,0.0107178685553389,0.00195416181473647,3.17220496353745e-05,299,299,299 -"851","OGC_AmsterdamUMC_Bayesian_biexp","Right kydney cortex",10,0.097,0.02,0.00212,0.188596572685199,0.385831039883312,0.00189897609609498,0.45,0.45,0.45,0.45,0.45,0.45,0.198632494096536,0.722936113519617,0.000578513574841219,299,299,299 -"852","OGC_AmsterdamUMC_Bayesian_biexp","Right kydney cortex",30,0.097,0.02,0.00212,0.141555513319658,0.17712340325286,0.00204073967739921,0.45,0.45,0.45,0.45,0.45,0.45,0.111543619821617,0.465680625794026,0.000257701453860321,299,299,299 -"853","OGC_AmsterdamUMC_Bayesian_biexp","Right kydney cortex",50,0.097,0.02,0.00212,0.118643922081606,0.0421244291772527,0.00207969517502297,0.45,0.45,0.45,0.45,0.45,0.45,0.0678075161062481,0.14086594416881,0.000152120320312512,299,299,299 -"854","OGC_AmsterdamUMC_Bayesian_biexp","Right kydney cortex",100,0.097,0.02,0.00212,0.100892171431045,0.0228352809862843,0.00211127104503827,0.45,0.45,0.45,0.45,0.45,0.45,0.0233124510593522,0.0197315452249424,6.31243655675189e-05,299,299,299 -"855","OGC_AmsterdamUMC_Bayesian_biexp","Right kydney cortex",200,0.097,0.02,0.00212,0.0979494403439556,0.0203223996833872,0.00211717788580963,0.45,0.45,0.45,0.45,0.45,0.45,0.0105263254249096,0.00334817852355355,2.95709044563407e-05,299,299,299 -"856","OGC_AmsterdamUMC_Bayesian_biexp","small intestine",10,0.69,0.029,0.00131,0.694246360658053,0.0332125553132146,0.00115663016547754,0.45,0.45,0.45,0.45,0.45,0.45,0.110159259316649,0.0193048143897897,0.000818020512686296,299,299,299 -"857","OGC_AmsterdamUMC_Bayesian_biexp","small intestine",30,0.69,0.029,0.00131,0.690033088055209,0.0293545333482025,0.00129905906199326,0.45,0.45,0.45,0.45,0.45,0.45,0.0360830894438484,0.00362952375376617,0.000284878708553556,299,299,299 -"858","OGC_AmsterdamUMC_Bayesian_biexp","small intestine",50,0.69,0.029,0.00131,0.689921486203945,0.0291386488646149,0.00130314885737654,0.45,0.45,0.45,0.45,0.45,0.45,0.0213772482384634,0.00213834833191147,0.00016610478799147,299,299,299 -"859","OGC_AmsterdamUMC_Bayesian_biexp","small intestine",100,0.69,0.029,0.00131,0.689787379406689,0.0291336831256088,0.00130679586340067,0.45,0.45,0.45,0.45,0.45,0.45,0.0108805102554908,0.0012833541569494,8.28438476605137e-05,299,299,299 -"860","OGC_AmsterdamUMC_Bayesian_biexp","small intestine",200,0.69,0.029,0.00131,0.689676541245555,0.0290763054757247,0.00130801778345195,0.45,0.45,0.45,0.45,0.45,0.45,0.00583322921862559,0.000767400913297244,4.21803596038404e-05,299,299,299 -"861","OGC_AmsterdamUMC_Bayesian_biexp","spleen",10,0.2,0.03,0.00129999999999999,0.252378410002267,0.233718646050262,0.00119059786898657,0.45,0.45,0.45,0.45,0.45,0.45,0.143855248399429,0.502476062586288,0.000408972864282049,299,299,299 -"862","OGC_AmsterdamUMC_Bayesian_biexp","spleen",30,0.2,0.03,0.00129999999999999,0.206891201646101,0.0391651098808692,0.00128264117770245,0.45,0.45,0.45,0.45,0.45,0.45,0.0390714113206133,0.0577794578547973,0.000116384817598468,299,299,299 -"863","OGC_AmsterdamUMC_Bayesian_biexp","spleen",50,0.2,0.03,0.00129999999999999,0.202242372508398,0.0312880376598558,0.00129258240323802,0.45,0.45,0.45,0.45,0.45,0.45,0.0221743225017492,0.00880333853639113,6.60228502625122e-05,299,299,299 -"864","OGC_AmsterdamUMC_Bayesian_biexp","spleen",100,0.2,0.03,0.00129999999999999,0.200493108698575,0.0302484422333146,0.00129737230400495,0.45,0.45,0.45,0.45,0.45,0.45,0.0107432935350786,0.00383175326077784,3.20545640691115e-05,299,299,299 -"865","OGC_AmsterdamUMC_Bayesian_biexp","spleen",200,0.2,0.03,0.00129999999999999,0.2000920443937,0.0300527202364231,0.00129896878525322,0.45,0.45,0.45,0.45,0.45,0.45,0.00532447796635576,0.00186704596028927,1.58938321517461e-05,299,299,299 -"866","OGC_AmsterdamUMC_Bayesian_biexp","st wall",10,0.3,0.012,0.0015,0.342171653732148,0.169021111769008,0.00137658979771026,0.45,0.45,0.45,0.45,0.45,0.45,0.209121239054118,0.464911517650575,0.000634230099480539,299,299,299 -"867","OGC_AmsterdamUMC_Bayesian_biexp","st wall",30,0.3,0.012,0.0015,0.322622542108482,0.0163119559447378,0.00144210772050894,0.45,0.45,0.45,0.45,0.45,0.45,0.0995249294874889,0.0358945966856197,0.000264951211719173,299,299,299 -"868","OGC_AmsterdamUMC_Bayesian_biexp","st wall",50,0.3,0.012,0.0015,0.307380239713298,0.0123840142302169,0.00147963560215619,0.45,0.45,0.45,0.45,0.45,0.45,0.0543986230945646,0.00311908608212234,0.000143578936921841,299,299,299 -"869","OGC_AmsterdamUMC_Bayesian_biexp","st wall",100,0.3,0.012,0.0015,0.301693691231062,0.0120871111509783,0.00149429686700861,0.45,0.45,0.45,0.45,0.45,0.45,0.0263415216139092,0.00143226934515234,6.96702203754273e-05,299,299,299 -"870","OGC_AmsterdamUMC_Bayesian_biexp","st wall",200,0.3,0.012,0.0015,0.300260349126461,0.0120289058061544,0.00149847883633801,0.45,0.45,0.45,0.45,0.45,0.45,0.0131909252941061,0.000701134900800486,3.49408339753062e-05,299,299,299 -"871","OGC_AmsterdamUMC_Bayesian_biexp","trans lower intestine",10,0.69,0.029,0.00130999999999999,0.694259683027242,0.0332121262581744,0.00115651817908036,0.45,0.45,0.45,0.45,0.45,0.45,0.11017656415909,0.0193052051533991,0.000818178301615205,299,299,299 -"872","OGC_AmsterdamUMC_Bayesian_biexp","trans lower intestine",30,0.69,0.029,0.00130999999999999,0.690033167699518,0.0293545217522552,0.00129905853784076,0.45,0.45,0.45,0.45,0.45,0.45,0.036083058729084,0.00362951389776666,0.000284878311839241,299,299,299 -"873","OGC_AmsterdamUMC_Bayesian_biexp","trans lower intestine",50,0.69,0.029,0.00130999999999999,0.689921506074573,0.0291386465936453,0.0013031486571486,0.45,0.45,0.45,0.45,0.45,0.45,0.0213772426772885,0.00213834747992634,0.000166104827306889,299,299,299 -"874","OGC_AmsterdamUMC_Bayesian_biexp","trans lower intestine",100,0.69,0.029,0.00130999999999999,0.689705435319841,0.0291477639759397,0.00130805336484234,0.45,0.45,0.45,0.45,0.45,0.45,0.0108250110017957,0.0012912220707904,8.27806112880171e-05,299,299,299 -"875","OGC_AmsterdamUMC_Bayesian_biexp","trans lower intestine",200,0.69,0.029,0.00130999999999999,0.689703364774609,0.0290729200975083,0.0013079275799941,0.45,0.45,0.45,0.45,0.45,0.45,0.0057973136397047,0.000764637348817088,4.20153078500508e-05,299,299,299 -"876","OGC_AmsterdamUMC_Bayesian_biexp","Vein",10,1,0.1,0.00299999999999999,0.914295867026791,0.124952449208066,0.000341386376995397,0.45,0.45,0.45,0.45,0.45,0.45,0.033870556357192,0.0264921360903649,0.000759818054968653,299,299,299 -"877","OGC_AmsterdamUMC_Bayesian_biexp","Vein",30,1,0.1,0.00299999999999999,0.973099780568972,0.107393408056422,0.000232219949442385,0.45,0.45,0.45,0.45,0.45,0.45,0.00780476201787954,0.00748295051395532,0.000430417878162574,299,299,299 -"878","OGC_AmsterdamUMC_Bayesian_biexp","Vein",50,1,0.1,0.00299999999999999,0.984111118518383,0.104286700344162,0.000213374328770124,0.45,0.45,0.45,0.45,0.45,0.45,0.00467685321257514,0.00434424421111718,0.000410079679040286,299,299,299 -"879","OGC_AmsterdamUMC_Bayesian_biexp","Vein",100,1,0.1,0.00299999999999999,0.992309696276133,0.102047954866857,0.000179453478078494,0.45,0.45,0.45,0.45,0.45,0.45,0.00230377417751352,0.00212580311791353,0.000377336365917817,299,299,299 -"880","OGC_AmsterdamUMC_Bayesian_biexp","Vein",200,1,0.1,0.00299999999999999,0.996293961868916,0.100989052773125,0.000153682306312602,0.45,0.45,0.45,0.45,0.45,0.45,0.00114635413380225,0.0010530293970243,0.000356019850089775,299,299,299 -"881","OGC_AmsterdamUMC_biexp","Artery",10,1,0.1,0.00299999999999999,0.916551204416989,0.122369011945018,0.000273066806868795,0.45,0.45,0.45,0.45,0.45,0.45,0.0227251910785163,0.0234330402970799,0.000525988236826141,299,299,299 -"882","OGC_AmsterdamUMC_biexp","Artery",30,1,0.1,0.00299999999999999,0.973161260978649,0.10654669843169,0.000228130802991582,0.45,0.45,0.45,0.45,0.45,0.45,0.00782859221131808,0.00645782892908593,0.000431214165202723,299,299,299 -"883","OGC_AmsterdamUMC_biexp","Artery",50,1,0.1,0.00299999999999999,0.984189738175199,0.103791606376352,0.000208198211823357,0.45,0.45,0.45,0.45,0.45,0.45,0.0046830337641484,0.00375278688446861,0.000406133269658223,299,299,299 -"884","OGC_AmsterdamUMC_biexp","Artery",100,1,0.1,0.00299999999999999,0.992359928068325,0.10181117133177,0.000175728220305858,0.45,0.45,0.45,0.45,0.45,0.45,0.00229602457471637,0.0018352080684285,0.000373115272077105,299,299,299 -"885","OGC_AmsterdamUMC_biexp","Artery",200,1,0.1,0.00299999999999999,0.996323154092639,0.100873285145009,0.000149761277399738,0.45,0.45,0.45,0.45,0.45,0.45,0.00113622008026348,0.000908483034149541,0.0003523857739893,299,299,299 -"886","OGC_AmsterdamUMC_biexp","asc lower intestine",10,0.69,0.029,0.00131,0.694830688531838,0.0326249863604666,0.00114655138542055,0.45,0.45,0.45,0.45,0.45,0.45,0.0978007798077074,0.0170421542867141,0.00074426190292453,299,299,299 -"887","OGC_AmsterdamUMC_biexp","asc lower intestine",30,0.69,0.029,0.00131,0.689570850554634,0.0293846834593745,0.00130099623058546,0.45,0.45,0.45,0.45,0.45,0.45,0.0358332140742521,0.00328309904723427,0.000279782024748395,299,299,299 -"888","OGC_AmsterdamUMC_biexp","asc lower intestine",50,0.69,0.029,0.00131,0.68982569362266,0.0291500977518991,0.00130432508924539,0.45,0.45,0.45,0.45,0.45,0.45,0.0213881941208833,0.0019024829657527,0.000166083415100297,299,299,299 -"889","OGC_AmsterdamUMC_biexp","asc lower intestine",100,0.69,0.029,0.00131,0.689946565171096,0.0290467790735175,0.00130699632921778,0.45,0.45,0.45,0.45,0.45,0.45,0.0106631625297783,0.000938640327346139,8.26562863313582e-05,299,299,299 -"890","OGC_AmsterdamUMC_biexp","asc lower intestine",200,0.69,0.029,0.00131,0.689981335122987,0.0290165319422673,0.00130845678093965,0.45,0.45,0.45,0.45,0.45,0.45,0.00532704595643484,0.00046772177618261,4.12831236659919e-05,299,299,299 -"891","OGC_AmsterdamUMC_biexp","Blood RA",10,1,0.1,0.00299999999999999,0.916551204416989,0.122369011945018,0.000273066806868795,0.45,0.45,0.45,0.45,0.45,0.45,0.0227251910785163,0.0234330402970799,0.000525988236826141,299,299,299 -"892","OGC_AmsterdamUMC_biexp","Blood RA",30,1,0.1,0.00299999999999999,0.973161260978649,0.10654669843169,0.000228130802991582,0.45,0.45,0.45,0.45,0.45,0.45,0.00782859221131808,0.00645782892908593,0.000431214165202723,299,299,299 -"893","OGC_AmsterdamUMC_biexp","Blood RA",50,1,0.1,0.00299999999999999,0.984189738175199,0.103791606376352,0.000208198211823357,0.45,0.45,0.45,0.45,0.45,0.45,0.0046830337641484,0.00375278688446861,0.000406133269658223,299,299,299 -"894","OGC_AmsterdamUMC_biexp","Blood RA",100,1,0.1,0.00299999999999999,0.992359928068325,0.10181117133177,0.000175728220305858,0.45,0.45,0.45,0.45,0.45,0.45,0.00229602457471637,0.0018352080684285,0.000373115272077105,299,299,299 -"895","OGC_AmsterdamUMC_biexp","Blood RA",200,1,0.1,0.00299999999999999,0.996323154092639,0.100873285145009,0.000149761277399738,0.45,0.45,0.45,0.45,0.45,0.45,0.00113622008026348,0.000908483034149541,0.0003523857739893,299,299,299 -"896","OGC_AmsterdamUMC_biexp","Blood RV",10,1,0.1,0.003,0.916551204477061,0.122369011950598,0.000273066803012016,0.45,0.45,0.45,0.45,0.45,0.45,0.0227251914120853,0.0234330403592379,0.000525988248231766,299,299,299 -"897","OGC_AmsterdamUMC_biexp","Blood RV",30,1,0.1,0.003,0.973161260787835,0.106546698466594,0.000228130843033075,0.45,0.45,0.45,0.45,0.45,0.45,0.0078285922138933,0.00645782890351296,0.000431214372101425,299,299,299 -"898","OGC_AmsterdamUMC_biexp","Blood RV",50,1,0.1,0.003,0.984189738173453,0.103791606376294,0.000208198245221205,0.45,0.45,0.45,0.45,0.45,0.45,0.00468303351061325,0.00375278684341751,0.000406133457828171,299,299,299 -"899","OGC_AmsterdamUMC_biexp","Blood RV",100,1,0.1,0.003,0.992359928406606,0.101811171259488,0.000175728107883654,0.45,0.45,0.45,0.45,0.45,0.45,0.00229602425602299,0.00183520810771947,0.000373114811370238,299,299,299 -"900","OGC_AmsterdamUMC_biexp","Blood RV",200,1,0.1,0.003,0.996323154043503,0.100873285154226,0.000149761334226485,0.45,0.45,0.45,0.45,0.45,0.45,0.0011362202179319,0.000908483065035726,0.000352386145881468,299,299,299 -"901","OGC_AmsterdamUMC_biexp","desc lower intestine",10,0.69,0.029,0.00131,0.694830688306291,0.0326249863621617,0.00114655138827578,0.45,0.45,0.45,0.45,0.45,0.45,0.0978007793640295,0.0170421542714422,0.000744261900488319,299,299,299 -"902","OGC_AmsterdamUMC_biexp","desc lower intestine",30,0.69,0.029,0.00131,0.689570850526864,0.029384683464532,0.0013009962306133,0.45,0.45,0.45,0.45,0.45,0.45,0.0358332145166679,0.00328309907506283,0.000279782027560119,299,299,299 -"903","OGC_AmsterdamUMC_biexp","desc lower intestine",50,0.69,0.029,0.00131,0.689825693551577,0.0291500977561171,0.00130432508986481,0.45,0.45,0.45,0.45,0.45,0.45,0.0213881941750843,0.00190248296579918,0.00016608341577808,299,299,299 -"904","OGC_AmsterdamUMC_biexp","desc lower intestine",100,0.69,0.029,0.00131,0.689946565084964,0.0290467790793416,0.00130699633001302,0.45,0.45,0.45,0.45,0.45,0.45,0.0106631624492495,0.000938640323571297,8.26562859037306e-05,299,299,299 -"905","OGC_AmsterdamUMC_biexp","desc lower intestine",200,0.69,0.029,0.00131,0.689981335136009,0.0290165319415151,0.00130845678084101,0.45,0.45,0.45,0.45,0.45,0.45,0.0053270460155283,0.000467721779019385,4.12831240551719e-05,299,299,299 -"906","OGC_AmsterdamUMC_biexp","esophagus",10,0.32,0.03,0.00167,0.354705480389262,0.0473833476608593,0.00153198019182536,0.45,0.45,0.45,0.45,0.45,0.45,0.137749939788292,0.0472409043102502,0.000533877598583494,299,299,299 -"907","OGC_AmsterdamUMC_biexp","esophagus",30,0.32,0.03,0.00167,0.323201589358344,0.0315809860579912,0.00165554120515616,0.45,0.45,0.45,0.45,0.45,0.45,0.0403072185419254,0.00893525483720027,0.00015820636234845,299,299,299 -"908","OGC_AmsterdamUMC_biexp","esophagus",50,0.32,0.03,0.00167,0.321129497580445,0.030548639640733,0.00166345901917572,0.45,0.45,0.45,0.45,0.45,0.45,0.0237323439776132,0.00468168235212985,9.37147518572373e-05,299,299,299 -"909","OGC_AmsterdamUMC_biexp","esophagus",100,0.32,0.03,0.00167,0.320280006138234,0.0301512754913706,0.00166747654598143,0.45,0.45,0.45,0.45,0.45,0.45,0.0117336921411727,0.00221904834434368,4.65224800482904e-05,299,299,299 -"910","OGC_AmsterdamUMC_biexp","esophagus",200,0.32,0.03,0.00167,0.320069642648256,0.030047939733871,0.00166892194429283,0.45,0.45,0.45,0.45,0.45,0.45,0.00584712392635801,0.00109546564782228,2.32146303289027e-05,299,299,299 -"911","OGC_AmsterdamUMC_biexp","esophagus cont",10,0.32,0.03,0.00167,0.354705480389262,0.0473833476608593,0.00153198019182536,0.45,0.45,0.45,0.45,0.45,0.45,0.137749939788292,0.0472409043102502,0.000533877598583494,299,299,299 -"912","OGC_AmsterdamUMC_biexp","esophagus cont",30,0.32,0.03,0.00167,0.323201589358344,0.0315809860579912,0.00165554120515616,0.45,0.45,0.45,0.45,0.45,0.45,0.0403072185419254,0.00893525483720027,0.00015820636234845,299,299,299 -"913","OGC_AmsterdamUMC_biexp","esophagus cont",50,0.32,0.03,0.00167,0.321129497580445,0.030548639640733,0.00166345901917572,0.45,0.45,0.45,0.45,0.45,0.45,0.0237323439776132,0.00468168235212985,9.37147518572373e-05,299,299,299 -"914","OGC_AmsterdamUMC_biexp","esophagus cont",100,0.32,0.03,0.00167,0.320280006138234,0.0301512754913706,0.00166747654598143,0.45,0.45,0.45,0.45,0.45,0.45,0.0117336921411727,0.00221904834434368,4.65224800482904e-05,299,299,299 -"915","OGC_AmsterdamUMC_biexp","esophagus cont",200,0.32,0.03,0.00167,0.320069642648256,0.030047939733871,0.00166892194429283,0.45,0.45,0.45,0.45,0.45,0.45,0.00584712392635801,0.00109546564782228,2.32146303289027e-05,299,299,299 -"916","OGC_AmsterdamUMC_biexp","Left kidney cortex",10,0.097,0.02,0.00212,0.2148105377081,0.0487963568495767,0.00180421269859133,0.45,0.45,0.45,0.45,0.45,0.45,0.209309135268436,0.0669015647143579,0.000588336343347944,299,299,299 -"917","OGC_AmsterdamUMC_biexp","Left kidney cortex",30,0.097,0.02,0.00212,0.146123885205131,0.0373755524225729,0.00202046535882605,0.45,0.45,0.45,0.45,0.45,0.45,0.110848492366364,0.04877666816789,0.000246047390509527,299,299,299 -"918","OGC_AmsterdamUMC_biexp","Left kidney cortex",50,0.097,0.02,0.00212,0.114091178865341,0.0306272982674573,0.00208475182665721,0.45,0.45,0.45,0.45,0.45,0.45,0.064994913794702,0.0366758241940987,0.000145885088018764,299,299,299 -"919","OGC_AmsterdamUMC_biexp","Left kidney cortex",100,0.097,0.02,0.00212,0.100082483097346,0.0217012846057203,0.00211233362767267,0.45,0.45,0.45,0.45,0.45,0.45,0.022263981665253,0.00829489525871493,5.9911493759657e-05,299,299,299 -"920","OGC_AmsterdamUMC_biexp","Left kidney cortex",200,0.097,0.02,0.00212,0.0977201096113241,0.0203704427744955,0.00211773849426202,0.45,0.45,0.45,0.45,0.45,0.45,0.0103898391865378,0.00309514793102558,2.89432490155649e-05,299,299,299 -"921","OGC_AmsterdamUMC_biexp","left kidney medulla",10,0.158,0.019,0.00209,0.277052826290319,0.0434335812083184,0.00174987911491906,0.45,0.45,0.45,0.45,0.45,0.45,0.215413208541891,0.0610132755885743,0.000654646483328416,299,299,299 -"922","OGC_AmsterdamUMC_biexp","left kidney medulla",30,0.158,0.019,0.00209,0.185983092632004,0.0302582799936771,0.00202389214446307,0.45,0.45,0.45,0.45,0.45,0.45,0.103473937799966,0.0376625252245158,0.000263126852971238,299,299,299 -"923","OGC_AmsterdamUMC_biexp","left kidney medulla",50,0.158,0.019,0.00209,0.165498695949482,0.0224982445301877,0.00207086299443277,0.45,0.45,0.45,0.45,0.45,0.45,0.0477938940481895,0.0166104586174518,0.00013310763237306,299,299,299 -"924","OGC_AmsterdamUMC_biexp","left kidney medulla",100,0.158,0.019,0.00209,0.159741157526869,0.0195635450173089,0.00208454849886483,0.45,0.45,0.45,0.45,0.45,0.45,0.0217945168049873,0.00378660527925079,6.31887376202441e-05,299,299,299 -"925","OGC_AmsterdamUMC_biexp","left kidney medulla",200,0.158,0.019,0.00209,0.158391248282066,0.0191546653722228,0.00208829309020907,0.45,0.45,0.45,0.45,0.45,0.45,0.0106514311539535,0.0017870044264751,3.11905633716254e-05,299,299,299 -"926","OGC_AmsterdamUMC_biexp","Liver",10,0.11,0.1,0.0015,0.168781483710098,0.0998946664266393,0.0013498050183832,0.45,0.45,0.45,0.45,0.45,0.45,0.122995139274488,0.0772265009198665,0.000337252957986261,299,299,299 -"927","OGC_AmsterdamUMC_biexp","Liver",30,0.11,0.1,0.0015,0.114188731736888,0.115331619534224,0.00148632594936495,0.45,0.45,0.45,0.45,0.45,0.45,0.0216959423795506,0.0557579468019812,8.43750873327471e-05,299,299,299 -"928","OGC_AmsterdamUMC_biexp","Liver",50,0.11,0.1,0.0015,0.111084793289577,0.110147712355781,0.00149517257250774,0.45,0.45,0.45,0.45,0.45,0.45,0.01183413282986,0.0399148213895639,4.8761702300905e-05,299,299,299 -"929","OGC_AmsterdamUMC_biexp","Liver",100,0.11,0.1,0.0015,0.110231190403675,0.103476574388879,0.0014982923573173,0.45,0.45,0.45,0.45,0.45,0.45,0.00588808517047419,0.0205159283218359,2.43744136435469e-05,299,299,299 -"930","OGC_AmsterdamUMC_biexp","Liver",200,0.11,0.1,0.0015,0.1100470782725,0.101125031030003,0.00149929708375471,0.45,0.45,0.45,0.45,0.45,0.45,0.00293209185601329,0.00988546801948204,1.21465617474882e-05,299,299,299 -"931","OGC_AmsterdamUMC_biexp","Myocardium LV",10,0.15,0.08,0.0024,0.231050934614615,0.0918109124612231,0.00210156488326174,0.45,0.45,0.45,0.45,0.45,0.45,0.16328457467878,0.0740143427520423,0.000597823975653223,299,299,299 -"932","OGC_AmsterdamUMC_biexp","Myocardium LV",30,0.15,0.08,0.0024,0.154139538104581,0.0938792386194375,0.00238288874920667,0.45,0.45,0.45,0.45,0.45,0.45,0.0290480598568536,0.0455341861546974,0.000152632768816471,299,299,299 -"933","OGC_AmsterdamUMC_biexp","Myocardium LV",50,0.15,0.08,0.0024,0.15115355891339,0.0860986665681959,0.00239348258776536,0.45,0.45,0.45,0.45,0.45,0.45,0.0156713928831147,0.0272104113084599,8.8104507105354e-05,299,299,299 -"934","OGC_AmsterdamUMC_biexp","Myocardium LV",100,0.15,0.08,0.0024,0.150283499713373,0.0817402508977409,0.00239745921048469,0.45,0.45,0.45,0.45,0.45,0.45,0.0077061027385642,0.0125940079355904,4.36999482749641e-05,299,299,299 -"935","OGC_AmsterdamUMC_biexp","Myocardium LV",200,0.15,0.08,0.0024,0.150069318927198,0.0805473449808135,0.00239890817229748,0.45,0.45,0.45,0.45,0.45,0.45,0.00382375516428169,0.00608744535227897,2.17541336207165e-05,299,299,299 -"936","OGC_AmsterdamUMC_biexp","myocardium ra",10,0.07,0.07,0.0015,0.140842582474029,0.0815154419321809,0.00133683779290497,0.45,0.45,0.45,0.45,0.45,0.45,0.133651654726981,0.0787637500133576,0.000337383058598956,299,299,299 -"937","OGC_AmsterdamUMC_biexp","myocardium ra",30,0.07,0.07,0.0015,0.0829284043873291,0.0925385612868686,0.00146970569880693,0.45,0.45,0.45,0.45,0.45,0.45,0.040894147264683,0.0669997325413034,0.00010234659109373,299,299,299 -"938","OGC_AmsterdamUMC_biexp","myocardium ra",50,0.07,0.07,0.0015,0.072923245672355,0.086543488787249,0.00149141826884349,0.45,0.45,0.45,0.45,0.45,0.45,0.0155435838870278,0.050860948922495,5.15890939821251e-05,299,299,299 -"939","OGC_AmsterdamUMC_biexp","myocardium ra",100,0.07,0.07,0.0015,0.070524437875184,0.0753318595008239,0.00149772019600704,0.45,0.45,0.45,0.45,0.45,0.45,0.00682514888448031,0.025139239611477,2.45968000885053e-05,299,299,299 -"940","OGC_AmsterdamUMC_biexp","myocardium ra",200,0.07,0.07,0.0015,0.0701212467432704,0.0714929242888122,0.00149916064828103,0.45,0.45,0.45,0.45,0.45,0.45,0.00338190541112971,0.0111832331213025,1.22606190149771e-05,299,299,299 -"941","OGC_AmsterdamUMC_biexp","myocardium RV",10,0.15,0.08,0.0024,0.231050934614615,0.0918109124612231,0.00210156488326174,0.45,0.45,0.45,0.45,0.45,0.45,0.16328457467878,0.0740143427520423,0.000597823975653223,299,299,299 -"942","OGC_AmsterdamUMC_biexp","myocardium RV",30,0.15,0.08,0.0024,0.154139538104581,0.0938792386194375,0.00238288874920667,0.45,0.45,0.45,0.45,0.45,0.45,0.0290480598568536,0.0455341861546974,0.000152632768816471,299,299,299 -"943","OGC_AmsterdamUMC_biexp","myocardium RV",50,0.15,0.08,0.0024,0.15115355891339,0.0860986665681959,0.00239348258776536,0.45,0.45,0.45,0.45,0.45,0.45,0.0156713928831147,0.0272104113084599,8.8104507105354e-05,299,299,299 -"944","OGC_AmsterdamUMC_biexp","myocardium RV",100,0.15,0.08,0.0024,0.150283499713373,0.0817402508977409,0.00239745921048469,0.45,0.45,0.45,0.45,0.45,0.45,0.0077061027385642,0.0125940079355904,4.36999482749641e-05,299,299,299 -"945","OGC_AmsterdamUMC_biexp","myocardium RV",200,0.15,0.08,0.0024,0.150069318927198,0.0805473449808135,0.00239890817229748,0.45,0.45,0.45,0.45,0.45,0.45,0.00382375516428169,0.00608744535227897,2.17541336207165e-05,299,299,299 -"946","OGC_AmsterdamUMC_biexp","pancreas",10,0.15,0.01,0.00129999999999999,0.184853535610611,0.0474378705656416,0.00120984216661857,0.45,0.45,0.45,0.45,0.45,0.45,0.161104187646429,0.0669702421956942,0.000392891369414266,299,299,299 -"947","OGC_AmsterdamUMC_biexp","pancreas",30,0.15,0.01,0.00129999999999999,0.1758987150233,0.0213648978673952,0.0012561175701719,0.45,0.45,0.45,0.45,0.45,0.45,0.0959617612998877,0.0372699012998766,0.00018463821702496,299,299,299 -"948","OGC_AmsterdamUMC_biexp","pancreas",50,0.15,0.01,0.00129999999999999,0.166798142533227,0.0139339848239637,0.00127239422373439,0.45,0.45,0.45,0.45,0.45,0.45,0.0681687338425591,0.0204281200559457,0.000125570308752639,299,299,299 -"949","OGC_AmsterdamUMC_biexp","pancreas",100,0.15,0.01,0.00129999999999999,0.155050447560094,0.0103148716578063,0.00129097893352421,0.45,0.45,0.45,0.45,0.45,0.45,0.0319693578528234,0.00247522256148057,5.97694054006783e-05,299,299,299 -"950","OGC_AmsterdamUMC_biexp","pancreas",200,0.15,0.01,0.00129999999999999,0.151155511078491,0.0100771654020746,0.00129758916819627,0.45,0.45,0.45,0.45,0.45,0.45,0.01486591983984,0.00114131889925594,2.84629910683132e-05,299,299,299 -"951","OGC_AmsterdamUMC_biexp","pericardium",10,0.07,0.00999999999999999,0.003,0.262616475802028,0.0308625180597483,0.00230293995321135,0.45,0.45,0.45,0.45,0.45,0.45,0.288611721740561,0.0557288601070258,0.000959963395181612,299,299,299 -"952","OGC_AmsterdamUMC_biexp","pericardium",30,0.07,0.00999999999999999,0.003,0.171752736546838,0.0258191200871392,0.00279901103476943,0.45,0.45,0.45,0.45,0.45,0.45,0.188837545487512,0.0473569013409168,0.000422023702062297,299,299,299 -"953","OGC_AmsterdamUMC_biexp","pericardium",50,0.07,0.00999999999999999,0.003,0.154585152777794,0.0269701085601376,0.00286376703903012,0.45,0.45,0.45,0.45,0.45,0.45,0.156425793643098,0.0489644773433195,0.000304246897964977,299,299,299 -"954","OGC_AmsterdamUMC_biexp","pericardium",100,0.07,0.00999999999999999,0.003,0.130337929311287,0.0221023076365671,0.00291708995451447,0.45,0.45,0.45,0.45,0.45,0.45,0.119422596085694,0.0390373666690182,0.000200857412897068,299,299,299 -"955","OGC_AmsterdamUMC_biexp","pericardium",200,0.07,0.00999999999999999,0.003,0.0981124920664315,0.01363368266491,0.00296220821462304,0.45,0.45,0.45,0.45,0.45,0.45,0.0749749651464143,0.0203675508518603,0.000119612766836194,299,299,299 -"956","OGC_AmsterdamUMC_biexp","right kidney medulla",10,0.158,0.019,0.00209,0.277052826290319,0.0434335812083184,0.00174987911491906,0.45,0.45,0.45,0.45,0.45,0.45,0.215413208541891,0.0610132755885743,0.000654646483328416,299,299,299 -"957","OGC_AmsterdamUMC_biexp","right kidney medulla",30,0.158,0.019,0.00209,0.185983092632004,0.0302582799936771,0.00202389214446307,0.45,0.45,0.45,0.45,0.45,0.45,0.103473937799966,0.0376625252245158,0.000263126852971238,299,299,299 -"958","OGC_AmsterdamUMC_biexp","right kidney medulla",50,0.158,0.019,0.00209,0.165498695949482,0.0224982445301877,0.00207086299443277,0.45,0.45,0.45,0.45,0.45,0.45,0.0477938940481895,0.0166104586174518,0.00013310763237306,299,299,299 -"959","OGC_AmsterdamUMC_biexp","right kidney medulla",100,0.158,0.019,0.00209,0.159741157526869,0.0195635450173089,0.00208454849886483,0.45,0.45,0.45,0.45,0.45,0.45,0.0217945168049873,0.00378660527925079,6.31887376202441e-05,299,299,299 -"960","OGC_AmsterdamUMC_biexp","right kidney medulla",200,0.158,0.019,0.00209,0.158391248282066,0.0191546653722228,0.00208829309020907,0.45,0.45,0.45,0.45,0.45,0.45,0.0106514311539535,0.0017870044264751,3.11905633716254e-05,299,299,299 -"961","OGC_AmsterdamUMC_biexp","Right kydney cortex",10,0.097,0.02,0.00212,0.2148105377081,0.0487963568495767,0.00180421269859133,0.45,0.45,0.45,0.45,0.45,0.45,0.209309135268436,0.0669015647143579,0.000588336343347944,299,299,299 -"962","OGC_AmsterdamUMC_biexp","Right kydney cortex",30,0.097,0.02,0.00212,0.146123885205131,0.0373755524225729,0.00202046535882605,0.45,0.45,0.45,0.45,0.45,0.45,0.110848492366364,0.04877666816789,0.000246047390509527,299,299,299 -"963","OGC_AmsterdamUMC_biexp","Right kydney cortex",50,0.097,0.02,0.00212,0.114091178865341,0.0306272982674573,0.00208475182665721,0.45,0.45,0.45,0.45,0.45,0.45,0.064994913794702,0.0366758241940987,0.000145885088018764,299,299,299 -"964","OGC_AmsterdamUMC_biexp","Right kydney cortex",100,0.097,0.02,0.00212,0.100082483097346,0.0217012846057203,0.00211233362767267,0.45,0.45,0.45,0.45,0.45,0.45,0.022263981665253,0.00829489525871493,5.9911493759657e-05,299,299,299 -"965","OGC_AmsterdamUMC_biexp","Right kydney cortex",200,0.097,0.02,0.00212,0.0977201096113241,0.0203704427744955,0.00211773849426202,0.45,0.45,0.45,0.45,0.45,0.45,0.0103898391865378,0.00309514793102558,2.89432490155649e-05,299,299,299 -"966","OGC_AmsterdamUMC_biexp","small intestine",10,0.69,0.029,0.00131,0.694830687906111,0.0326249863850724,0.001146551391007,0.45,0.45,0.45,0.45,0.45,0.45,0.0978007791606039,0.0170421543207036,0.000744261895530268,299,299,299 -"967","OGC_AmsterdamUMC_biexp","small intestine",30,0.69,0.029,0.00131,0.689570850315831,0.0293846834755066,0.00130099623277285,0.45,0.45,0.45,0.45,0.45,0.45,0.0358332141325587,0.00328309905455554,0.000279782025078523,299,299,299 -"968","OGC_AmsterdamUMC_biexp","small intestine",50,0.69,0.029,0.00131,0.689825693573063,0.0291500977548317,0.0013043250896893,0.45,0.45,0.45,0.45,0.45,0.45,0.0213881941310553,0.00190248296633076,0.000166083414640446,299,299,299 -"969","OGC_AmsterdamUMC_biexp","small intestine",100,0.69,0.029,0.00131,0.68994656517302,0.0290467790735891,0.00130699632918918,0.45,0.45,0.45,0.45,0.45,0.45,0.0106631625130881,0.000938640325588028,8.26562859975714e-05,299,299,299 -"970","OGC_AmsterdamUMC_biexp","small intestine",200,0.69,0.029,0.00131,0.689981335140809,0.0290165319414175,0.00130845678076352,0.45,0.45,0.45,0.45,0.45,0.45,0.00532704601832268,0.000467721780395998,4.1283123962599e-05,299,299,299 -"971","OGC_AmsterdamUMC_biexp","spleen",10,0.2,0.03,0.00129999999999999,0.248565345872263,0.0568790590809539,0.00117109082310806,0.45,0.45,0.45,0.45,0.45,0.45,0.138108152592245,0.0614284067605453,0.000385048669212005,299,299,299 -"972","OGC_AmsterdamUMC_biexp","spleen",30,0.2,0.03,0.00129999999999999,0.204799212322826,0.0344032230756975,0.00128537474230259,0.45,0.45,0.45,0.45,0.45,0.45,0.0373889502807019,0.0196932990153424,0.000109827153921283,299,299,299 -"973","OGC_AmsterdamUMC_biexp","spleen",50,0.2,0.03,0.00129999999999999,0.201678467795085,0.0312420978469793,0.00129383894795446,0.45,0.45,0.45,0.45,0.45,0.45,0.0214546726422535,0.0077523763498131,6.40824451508019e-05,299,299,299 -"974","OGC_AmsterdamUMC_biexp","spleen",100,0.2,0.03,0.00129999999999999,0.20040747359065,0.0303107930918353,0.00129785077922554,0.45,0.45,0.45,0.45,0.45,0.45,0.0104719587309842,0.00342852469585086,3.15725299307934e-05,299,299,299 -"975","OGC_AmsterdamUMC_biexp","spleen",200,0.2,0.03,0.00129999999999999,0.200098827653497,0.0300920084049103,0.00129915169076204,0.45,0.45,0.45,0.45,0.45,0.45,0.00519380978047521,0.00166907680512249,1.57069706717535e-05,299,299,299 -"976","OGC_AmsterdamUMC_biexp","st wall",10,0.3,0.012,0.0015,0.361593393686145,0.0323328748012714,0.00130132220666322,0.45,0.45,0.45,0.45,0.45,0.45,0.208350215148267,0.0514342217408351,0.000612311819072441,299,299,299 -"977","OGC_AmsterdamUMC_biexp","st wall",30,0.3,0.012,0.0015,0.316719659160763,0.0137022551884621,0.00145359061242711,0.45,0.45,0.45,0.45,0.45,0.45,0.0970529464093194,0.00856485498776069,0.000254686991328844,299,299,299 -"978","OGC_AmsterdamUMC_biexp","st wall",50,0.3,0.012,0.0015,0.305193533818909,0.0124323700210719,0.00148436640149277,0.45,0.45,0.45,0.45,0.45,0.45,0.053613759973711,0.00282298876439099,0.000140362193961726,299,299,299 -"979","OGC_AmsterdamUMC_biexp","st wall",100,0.3,0.012,0.0015,0.3011193322049,0.0121135942239775,0.00149571619204976,0.45,0.45,0.45,0.45,0.45,0.45,0.0261843319002159,0.00129074569132032,6.85575356626846e-05,299,299,299 -"980","OGC_AmsterdamUMC_biexp","st wall",200,0.3,0.012,0.0015,0.300225825318409,0.0120334534978712,0.00149864155647832,0.45,0.45,0.45,0.45,0.45,0.45,0.0130262845926758,0.000630340215988195,3.40956211098914e-05,299,299,299 -"981","OGC_AmsterdamUMC_biexp","trans lower intestine",10,0.69,0.029,0.00130999999999999,0.694830688564467,0.032624986312475,0.00114655138620799,0.45,0.45,0.45,0.45,0.45,0.45,0.0978007790483066,0.017042154071943,0.000744261894497508,299,299,299 -"982","OGC_AmsterdamUMC_biexp","trans lower intestine",30,0.69,0.029,0.00130999999999999,0.689570850550309,0.0293846834605323,0.00130099623067048,0.45,0.45,0.45,0.45,0.45,0.45,0.03583321437894,0.00328309906489773,0.000279782027780018,299,299,299 -"983","OGC_AmsterdamUMC_biexp","trans lower intestine",50,0.69,0.029,0.00130999999999999,0.689825693412246,0.0291500977660697,0.00130432509126435,0.45,0.45,0.45,0.45,0.45,0.45,0.0213881942331915,0.00190248296909735,0.000166083415658577,299,299,299 -"984","OGC_AmsterdamUMC_biexp","trans lower intestine",100,0.69,0.029,0.00130999999999999,0.689946565157839,0.0290467790741476,0.00130699632927992,0.45,0.45,0.45,0.45,0.45,0.45,0.0106631624923704,0.000938640325039952,8.2656285973903e-05,299,299,299 -"985","OGC_AmsterdamUMC_biexp","trans lower intestine",200,0.69,0.029,0.00130999999999999,0.689981335112322,0.0290165319430504,0.00130845678104043,0.45,0.45,0.45,0.45,0.45,0.45,0.00532704598651555,0.000467721780481497,4.1283123603074e-05,299,299,299 -"986","OGC_AmsterdamUMC_biexp","Vein",10,1,0.1,0.00299999999999999,0.916551204244533,0.122369011974545,0.000273066816835779,0.45,0.45,0.45,0.45,0.45,0.45,0.022725191121915,0.0234330403198178,0.000525988259691735,299,299,299 -"987","OGC_AmsterdamUMC_biexp","Vein",30,1,0.1,0.00299999999999999,0.973161261240563,0.106546698361441,0.000228130761062279,0.45,0.45,0.45,0.45,0.45,0.45,0.00782859243617106,0.0064578289415521,0.000431214198209649,299,299,299 -"988","OGC_AmsterdamUMC_biexp","Vein",50,1,0.1,0.00299999999999999,0.984189738028885,0.103791606406811,0.000208198255818229,0.45,0.45,0.45,0.45,0.45,0.45,0.00468303362319796,0.00375278684718259,0.000406133264965843,299,299,299 -"989","OGC_AmsterdamUMC_biexp","Vein",100,1,0.1,0.00299999999999999,0.992359928276546,0.101811171283772,0.000175728187662851,0.45,0.45,0.45,0.45,0.45,0.45,0.00229602432637319,0.00183520806791812,0.000373115337318807,299,299,299 -"990","OGC_AmsterdamUMC_biexp","Vein",200,1,0.1,0.00299999999999999,0.996323153986104,0.100873285167583,0.000149761440764175,0.45,0.45,0.45,0.45,0.45,0.45,0.00113622001644103,0.00090848307766313,0.000352385760028282,299,299,299 -"991","OGC_AmsterdamUMC_biexp_segmented","Artery",10,1,0.1,0.00299999999999999,0.89187652895809,0.130371770516281,0.000532739646128184,0.45,0.45,0.45,0.45,0.45,0.45,0.0603329212170224,0.0338595994748754,0.000876166916139467,299,299,299 -"992","OGC_AmsterdamUMC_biexp_segmented","Artery",30,1,0.1,0.00299999999999999,0.963958649017849,0.108709609163987,0.000532747467797313,0.45,0.45,0.45,0.45,0.45,0.45,0.0201116860529649,0.00814087200682786,0.000876181456030473,299,299,299 -"993","OGC_AmsterdamUMC_biexp_segmented","Artery",50,1,0.1,0.00299999999999999,0.97816921696173,0.105139058114017,0.000549427490684811,0.45,0.45,0.45,0.45,0.45,0.45,0.0125526161570658,0.00468981671653349,0.000912813853531625,299,299,299 -"994","OGC_AmsterdamUMC_biexp_segmented","Artery",100,1,0.1,0.00299999999999999,0.989084383490558,0.102522060781948,0.000549477159445701,0.45,0.45,0.45,0.45,0.45,0.45,0.00627640558821837,0.00226259175006359,0.000912855515978945,299,299,299 -"995","OGC_AmsterdamUMC_biexp_segmented","Artery",200,1,0.1,0.00299999999999999,0.994541921036986,0.101255042864892,0.000549569685652002,0.45,0.45,0.45,0.45,0.45,0.45,0.00313858362490246,0.00111235352017906,0.000913010145476883,299,299,299 -"996","OGC_AmsterdamUMC_biexp_segmented","asc lower intestine",10,0.69,0.029,0.00131,0.661034109551995,0.0519537390180236,0.00131067694624179,0.45,0.45,0.45,0.45,0.45,0.45,0.143273359410903,0.00746591757058437,0.000965452623261198,299,299,299 -"997","OGC_AmsterdamUMC_biexp_segmented","asc lower intestine",30,0.69,0.029,0.00131,0.677766188296272,0.0500107152091792,0.00136286457292459,0.45,0.45,0.45,0.45,0.45,0.45,0.0442643529688101,0.000185589786252479,0.000322790073010869,299,299,299 -"998","OGC_AmsterdamUMC_biexp_segmented","asc lower intestine",50,0.69,0.029,0.00131,0.680228686572044,0.0500000000118474,0.00135564782187268,0.45,0.45,0.45,0.45,0.45,0.45,0.0260317923438205,1.40320085058926e-10,0.000190041408090366,299,299,299 -"999","OGC_AmsterdamUMC_biexp_segmented","asc lower intestine",100,0.69,0.029,0.00131,0.681374427365553,0.0500000000003099,0.00135334951496678,0.45,0.45,0.45,0.45,0.45,0.45,0.0128991835119707,1.00907554152635e-12,9.41499541476281e-05,299,299,299 -"1000","OGC_AmsterdamUMC_biexp_segmented","asc lower intestine",200,0.69,0.029,0.00131,0.681731199287339,0.0500000000001251,0.0013531962139409,0.45,0.45,0.45,0.45,0.45,0.45,0.00643133843394598,1.04042199865913e-13,4.69285815264881e-05,299,299,299 -"1001","OGC_AmsterdamUMC_biexp_segmented","Blood RA",10,1,0.1,0.00299999999999999,0.89187652895809,0.130371770516281,0.000532739646128184,0.45,0.45,0.45,0.45,0.45,0.45,0.0603329212170224,0.0338595994748754,0.000876166916139467,299,299,299 -"1002","OGC_AmsterdamUMC_biexp_segmented","Blood RA",30,1,0.1,0.00299999999999999,0.963958649017849,0.108709609163987,0.000532747467797313,0.45,0.45,0.45,0.45,0.45,0.45,0.0201116860529649,0.00814087200682786,0.000876181456030473,299,299,299 -"1003","OGC_AmsterdamUMC_biexp_segmented","Blood RA",50,1,0.1,0.00299999999999999,0.97816921696173,0.105139058114017,0.000549427490684811,0.45,0.45,0.45,0.45,0.45,0.45,0.0125526161570658,0.00468981671653349,0.000912813853531625,299,299,299 -"1004","OGC_AmsterdamUMC_biexp_segmented","Blood RA",100,1,0.1,0.00299999999999999,0.989084383490558,0.102522060781948,0.000549477159445701,0.45,0.45,0.45,0.45,0.45,0.45,0.00627640558821837,0.00226259175006359,0.000912855515978945,299,299,299 -"1005","OGC_AmsterdamUMC_biexp_segmented","Blood RA",200,1,0.1,0.00299999999999999,0.994541921036986,0.101255042864892,0.000549569685652002,0.45,0.45,0.45,0.45,0.45,0.45,0.00313858362490246,0.00111235352017906,0.000913010145476883,299,299,299 -"1006","OGC_AmsterdamUMC_biexp_segmented","Blood RV",10,1,0.1,0.003,0.89187652895809,0.130371770521945,0.000532739646128184,0.45,0.45,0.45,0.45,0.45,0.45,0.0603329212170224,0.0338595995146847,0.000876166916139467,299,299,299 -"1007","OGC_AmsterdamUMC_biexp_segmented","Blood RV",30,1,0.1,0.003,0.963958649017849,0.108709609162974,0.000532747467797313,0.45,0.45,0.45,0.45,0.45,0.45,0.0201116860529649,0.00814087200609997,0.000876181456030473,299,299,299 -"1008","OGC_AmsterdamUMC_biexp_segmented","Blood RV",50,1,0.1,0.003,0.97816921696173,0.105139058114271,0.000549427490684811,0.45,0.45,0.45,0.45,0.45,0.45,0.0125526161570658,0.0046898167166192,0.000912813853531625,299,299,299 -"1009","OGC_AmsterdamUMC_biexp_segmented","Blood RV",100,1,0.1,0.003,0.989084383490558,0.102522060782086,0.000549477159445701,0.45,0.45,0.45,0.45,0.45,0.45,0.00627640558821837,0.00226259175040105,0.000912855515978945,299,299,299 -"1010","OGC_AmsterdamUMC_biexp_segmented","Blood RV",200,1,0.1,0.003,0.994541921036986,0.10125504286489,0.000549569685652002,0.45,0.45,0.45,0.45,0.45,0.45,0.00313858362490246,0.00111235352008543,0.000913010145476883,299,299,299 -"1011","OGC_AmsterdamUMC_biexp_segmented","desc lower intestine",10,0.69,0.029,0.00131,0.661034109543676,0.0519537390427511,0.00131067694617946,0.45,0.45,0.45,0.45,0.45,0.45,0.143273359483562,0.00746591763226972,0.000965452623351917,299,299,299 -"1012","OGC_AmsterdamUMC_biexp_segmented","desc lower intestine",30,0.69,0.029,0.00131,0.677766188255513,0.0500107152093789,0.00136286457330544,0.45,0.45,0.45,0.45,0.45,0.45,0.0442643529054461,0.00018558978971045,0.000322790072591844,299,299,299 -"1013","OGC_AmsterdamUMC_biexp_segmented","desc lower intestine",50,0.69,0.029,0.00131,0.68022868657494,0.0500000000118474,0.00135564782184761,0.45,0.45,0.45,0.45,0.45,0.45,0.0260317923174537,1.4032007815239e-10,0.000190041407906453,299,299,299 -"1014","OGC_AmsterdamUMC_biexp_segmented","desc lower intestine",100,0.69,0.029,0.00131,0.6813744273752,0.0500000000003099,0.00135334951488224,0.45,0.45,0.45,0.45,0.45,0.45,0.0128991835089443,1.00907554152635e-12,9.41499540600846e-05,299,299,299 -"1015","OGC_AmsterdamUMC_biexp_segmented","desc lower intestine",200,0.69,0.029,0.00131,0.681731199292581,0.0500000000001251,0.0013531962138951,0.45,0.45,0.45,0.45,0.45,0.45,0.0064313384229787,1.04042230662964e-13,4.6928581419636e-05,299,299,299 -"1016","OGC_AmsterdamUMC_biexp_segmented","esophagus",10,0.32,0.03,0.00167,0.299578686896399,0.132769823712057,0.00168980800820372,0.45,0.45,0.45,0.45,0.45,0.45,0.149762288927687,0.32984986456084,0.000548090902016987,299,299,299 -"1017","OGC_AmsterdamUMC_biexp_segmented","esophagus",30,0.32,0.03,0.00167,0.313170236463335,0.0516203124175616,0.00168195485542747,0.45,0.45,0.45,0.45,0.45,0.45,0.0486290067293564,0.01501020130752,0.000178975234852931,299,299,299 -"1018","OGC_AmsterdamUMC_biexp_segmented","esophagus",50,0.32,0.03,0.00167,0.31488847851361,0.0500821437323555,0.00167998254113713,0.45,0.45,0.45,0.45,0.45,0.45,0.02898245005215,0.000997701518239156,0.000106701729986798,299,299,299 -"1019","OGC_AmsterdamUMC_biexp_segmented","esophagus",100,0.32,0.03,0.00167,0.315755920776668,0.0500000015315932,0.00167952947907849,0.45,0.45,0.45,0.45,0.45,0.45,0.0144405690372401,4.49183117367308e-09,5.31665315365844e-05,299,299,299 -"1020","OGC_AmsterdamUMC_biexp_segmented","esophagus",200,0.32,0.03,0.00167,0.316057259131808,0.0500000001130876,0.00167962601706896,0.45,0.45,0.45,0.45,0.45,0.45,0.0072110136583362,1.36073541825413e-09,2.65481541866544e-05,299,299,299 -"1021","OGC_AmsterdamUMC_biexp_segmented","esophagus cont",10,0.32,0.03,0.00167,0.299578686896399,0.132769823712057,0.00168980800820372,0.45,0.45,0.45,0.45,0.45,0.45,0.149762288927687,0.32984986456084,0.000548090902016987,299,299,299 -"1022","OGC_AmsterdamUMC_biexp_segmented","esophagus cont",30,0.32,0.03,0.00167,0.313170236463335,0.0516203124175616,0.00168195485542747,0.45,0.45,0.45,0.45,0.45,0.45,0.0486290067293564,0.01501020130752,0.000178975234852931,299,299,299 -"1023","OGC_AmsterdamUMC_biexp_segmented","esophagus cont",50,0.32,0.03,0.00167,0.31488847851361,0.0500821437323555,0.00167998254113713,0.45,0.45,0.45,0.45,0.45,0.45,0.02898245005215,0.000997701518239156,0.000106701729986798,299,299,299 -"1024","OGC_AmsterdamUMC_biexp_segmented","esophagus cont",100,0.32,0.03,0.00167,0.315755920776668,0.0500000015315932,0.00167952947907849,0.45,0.45,0.45,0.45,0.45,0.45,0.0144405690372401,4.49183117367308e-09,5.31665315365844e-05,299,299,299 -"1025","OGC_AmsterdamUMC_biexp_segmented","esophagus cont",200,0.32,0.03,0.00167,0.316057259131808,0.0500000001130876,0.00167962601706896,0.45,0.45,0.45,0.45,0.45,0.45,0.0072110136583362,1.36073541825413e-09,2.65481541866544e-05,299,299,299 -"1026","OGC_AmsterdamUMC_biexp_segmented","Left kidney cortex",10,0.097,0.02,0.00212,0.0770289257365628,0.290009001953962,0.00212883317155661,0.45,0.45,0.45,0.45,0.45,0.45,0.166304018024042,0.603644499495657,0.00051616801847906,299,299,299 -"1027","OGC_AmsterdamUMC_biexp_segmented","Left kidney cortex",30,0.097,0.02,0.00212,0.0870000968545719,0.151929914388419,0.0021359301733605,0.45,0.45,0.45,0.45,0.45,0.45,0.0574976409055934,0.364025907839904,0.000176993129917423,299,299,299 -"1028","OGC_AmsterdamUMC_biexp_segmented","Left kidney cortex",50,0.097,0.02,0.00212,0.0889780037469703,0.061805558817787,0.00213387593192174,0.45,0.45,0.45,0.45,0.45,0.45,0.0342843737704229,0.0818597418959281,0.000105632673759659,299,299,299 -"1029","OGC_AmsterdamUMC_biexp_segmented","Left kidney cortex",100,0.097,0.02,0.00212,0.0899830331937219,0.0513588295468723,0.00213333518395996,0.45,0.45,0.45,0.45,0.45,0.45,0.0170840339210639,0.0173947389701512,5.26615544157948e-05,299,299,299 -"1030","OGC_AmsterdamUMC_biexp_segmented","Left kidney cortex",200,0.097,0.02,0.00212,0.0903344617802364,0.0500000042404332,0.00213338192941296,0.45,0.45,0.45,0.45,0.45,0.45,0.00853089075327522,1.84990926686926e-08,2.63008101231868e-05,299,299,299 -"1031","OGC_AmsterdamUMC_biexp_segmented","left kidney medulla",10,0.158,0.019,0.00209,0.131137655472228,0.23929273655041,0.00211294106858926,0.45,0.45,0.45,0.45,0.45,0.45,0.168355074392517,0.51806573149938,0.000552807844610286,299,299,299 -"1032","OGC_AmsterdamUMC_biexp_segmented","left kidney medulla",30,0.158,0.019,0.00209,0.142171494963177,0.0695125128780473,0.00212004729340849,0.45,0.45,0.45,0.45,0.45,0.45,0.0573389805736233,0.134611155772767,0.000187357474017551,299,299,299 -"1033","OGC_AmsterdamUMC_biexp_segmented","left kidney medulla",50,0.158,0.019,0.00209,0.144230450313924,0.0602733335257936,0.0021176750832144,0.45,0.45,0.45,0.45,0.45,0.45,0.0341675563935529,0.12341684421226,0.00011175436277293,299,299,299 -"1034","OGC_AmsterdamUMC_biexp_segmented","left kidney medulla",100,0.158,0.019,0.00209,0.145267407398938,0.0500000044107411,0.00211702242995272,0.45,0.45,0.45,0.45,0.45,0.45,0.0170205002442602,2.78908812166402e-08,5.56977222247853e-05,299,299,299 -"1035","OGC_AmsterdamUMC_biexp_segmented","left kidney medulla",200,0.158,0.019,0.00209,0.145626005001748,0.0500000006964344,0.00211705269269561,0.45,0.45,0.45,0.45,0.45,0.45,0.00849828677625711,3.37636833357999e-09,2.78144870865059e-05,299,299,299 -"1036","OGC_AmsterdamUMC_biexp_segmented","Liver",10,0.11,0.1,0.0015,0.0972321801659825,0.35559843435101,0.00150859052204052,0.45,0.45,0.45,0.45,0.45,0.45,0.134839808929966,0.632502439816993,0.000367327987709817,299,299,299 -"1037","OGC_AmsterdamUMC_biexp_segmented","Liver",30,0.11,0.1,0.0015,0.107694887153018,0.226173724263367,0.00150016928920599,0.45,0.45,0.45,0.45,0.45,0.45,0.0451472711617818,0.380098790845709,0.000121950650671429,299,299,299 -"1038","OGC_AmsterdamUMC_biexp_segmented","Liver",50,0.11,0.1,0.0015,0.108918954664912,0.137632134381599,0.00149957574189822,0.45,0.45,0.45,0.45,0.45,0.45,0.0269925765528699,0.173220331526938,7.29050804512238e-05,299,299,299 -"1039","OGC_AmsterdamUMC_biexp_segmented","Liver",100,0.11,0.1,0.0015,0.109571576926182,0.10728000421186,0.00149959253645644,0.45,0.45,0.45,0.45,0.45,0.45,0.0134700792856065,0.0365535919006858,3.63764396721475e-05,299,299,299 -"1040","OGC_AmsterdamUMC_biexp_segmented","Liver",200,0.11,0.1,0.0015,0.109813662467211,0.102101719440497,0.00149974766327095,0.45,0.45,0.45,0.45,0.45,0.45,0.00672998368978822,0.0157372078248851,1.81728271900004e-05,299,299,299 -"1041","OGC_AmsterdamUMC_biexp_segmented","Myocardium LV",10,0.15,0.08,0.0024,0.138704738853772,0.29533039001213,0.00236585206256623,0.45,0.45,0.45,0.45,0.45,0.45,0.183735146154628,0.574050740063509,0.000643157597359619,299,299,299 -"1042","OGC_AmsterdamUMC_biexp_segmented","Myocardium LV",30,0.15,0.08,0.0024,0.145604279544077,0.179147800604903,0.00240394816245491,0.45,0.45,0.45,0.45,0.45,0.45,0.063461484601297,0.317296307372968,0.000220884399725328,299,299,299 -"1043","OGC_AmsterdamUMC_biexp_segmented","Myocardium LV",50,0.15,0.08,0.0024,0.148050213963908,0.111074470877663,0.00240084656501886,0.45,0.45,0.45,0.45,0.45,0.45,0.0377614890581242,0.164533235328792,0.00013167032202768,299,299,299 -"1044","OGC_AmsterdamUMC_biexp_segmented","Myocardium LV",100,0.15,0.08,0.0024,0.149292946222617,0.0853647552024634,0.00239978981206487,0.45,0.45,0.45,0.45,0.45,0.45,0.0187958126455879,0.0272583269087562,6.55998923448369e-05,299,299,299 -"1045","OGC_AmsterdamUMC_biexp_segmented","Myocardium LV",200,0.15,0.08,0.0024,0.149712430350138,0.0814472116112704,0.00239973845264743,0.45,0.45,0.45,0.45,0.45,0.45,0.00938188303282705,0.011367113115482,3.27555805181391e-05,299,299,299 -"1046","OGC_AmsterdamUMC_biexp_segmented","myocardium ra",10,0.07,0.07,0.0015,0.0578936886535005,0.331287936090609,0.00150745703740933,0.45,0.45,0.45,0.45,0.45,0.45,0.133663508201973,0.620007223240229,0.000349561522849492,299,299,299 -"1047","OGC_AmsterdamUMC_biexp_segmented","myocardium ra",30,0.07,0.07,0.0015,0.0677475633979726,0.252860531918122,0.00150007469297444,0.45,0.45,0.45,0.45,0.45,0.45,0.0451277322847106,0.462488933259553,0.000116654443267633,299,299,299 -"1048","OGC_AmsterdamUMC_biexp_segmented","myocardium ra",50,0.07,0.07,0.0015,0.068936524801532,0.153221079980056,0.00149956512826645,0.45,0.45,0.45,0.45,0.45,0.45,0.0269874814666128,0.288290130918818,6.97554513344443e-05,299,299,299 -"1049","OGC_AmsterdamUMC_biexp_segmented","myocardium ra",100,0.07,0.07,0.0015,0.0695745982637905,0.0851832608134713,0.00149960544347793,0.45,0.45,0.45,0.45,0.45,0.45,0.0134691574388598,0.0574276101213015,3.48091848323947e-05,299,299,299 -"1050","OGC_AmsterdamUMC_biexp_segmented","myocardium ra",200,0.07,0.07,0.0015,0.0698130767438865,0.0732437488492484,0.00149975991644965,0.45,0.45,0.45,0.45,0.45,0.45,0.00672980083126172,0.0176595729765593,1.73906364708644e-05,299,299,299 -"1051","OGC_AmsterdamUMC_biexp_segmented","myocardium RV",10,0.15,0.08,0.0024,0.138704738853772,0.29533039001213,0.00236585206256623,0.45,0.45,0.45,0.45,0.45,0.45,0.183735146154628,0.574050740063509,0.000643157597359619,299,299,299 -"1052","OGC_AmsterdamUMC_biexp_segmented","myocardium RV",30,0.15,0.08,0.0024,0.145604279544077,0.179147800604903,0.00240394816245491,0.45,0.45,0.45,0.45,0.45,0.45,0.063461484601297,0.317296307372968,0.000220884399725328,299,299,299 -"1053","OGC_AmsterdamUMC_biexp_segmented","myocardium RV",50,0.15,0.08,0.0024,0.148050213963908,0.111074470877663,0.00240084656501886,0.45,0.45,0.45,0.45,0.45,0.45,0.0377614890581242,0.164533235328792,0.00013167032202768,299,299,299 -"1054","OGC_AmsterdamUMC_biexp_segmented","myocardium RV",100,0.15,0.08,0.0024,0.149292946222617,0.0853647552024634,0.00239978981206487,0.45,0.45,0.45,0.45,0.45,0.45,0.0187958126455879,0.0272583269087562,6.55998923448369e-05,299,299,299 -"1055","OGC_AmsterdamUMC_biexp_segmented","myocardium RV",200,0.15,0.08,0.0024,0.149712430350138,0.0814472116112704,0.00239973845264743,0.45,0.45,0.45,0.45,0.45,0.45,0.00938188303282705,0.011367113115482,3.27555805181391e-05,299,299,299 -"1056","OGC_AmsterdamUMC_biexp_segmented","pancreas",10,0.15,0.01,0.00129999999999999,0.100244765420066,0.266741520832647,0.00137548084876521,0.45,0.45,0.45,0.45,0.45,0.45,0.129912389751765,0.562164105737666,0.000344116696880167,299,299,299 -"1057","OGC_AmsterdamUMC_biexp_segmented","pancreas",30,0.15,0.01,0.00129999999999999,0.110360760973366,0.0661716722087468,0.00136667398578444,0.45,0.45,0.45,0.45,0.45,0.45,0.0433110167586883,0.140789670312433,0.000113720557310474,299,299,299 -"1058","OGC_AmsterdamUMC_biexp_segmented","pancreas",50,0.15,0.01,0.00129999999999999,0.111480583752563,0.0539705038259079,0.00136624929746589,0.45,0.45,0.45,0.45,0.45,0.45,0.0259040670714904,0.0479429254670281,6.80011412344266e-05,299,299,299 -"1059","OGC_AmsterdamUMC_biexp_segmented","pancreas",100,0.15,0.01,0.00129999999999999,0.112080763535825,0.0500000065580185,0.00136632895052346,0.45,0.45,0.45,0.45,0.45,0.45,0.0129294848715759,1.69774639357237e-08,3.39338191967857e-05,299,299,299 -"1060","OGC_AmsterdamUMC_biexp_segmented","pancreas",200,0.15,0.01,0.00129999999999999,0.112304748300198,0.050000000728181,0.0013664952449501,0.45,0.45,0.45,0.45,0.45,0.45,0.00646040206372423,6.32502873391021e-09,1.69533243857183e-05,299,299,299 -"1061","OGC_AmsterdamUMC_biexp_segmented","pericardium",10,0.07,0.00999999999999999,0.003,0.0520383050852133,0.17871463052579,0.00290810073173622,0.45,0.45,0.45,0.45,0.45,0.45,0.209231800764477,0.422831401538199,0.000739849912636431,299,299,299 -"1062","OGC_AmsterdamUMC_biexp_segmented","pericardium",30,0.07,0.00999999999999999,0.003,0.0344582030632704,0.193439082301208,0.00306329837568757,0.45,0.45,0.45,0.45,0.45,0.45,0.0804795684271075,0.466549615994945,0.000279719698417709,299,299,299 -"1063","OGC_AmsterdamUMC_biexp_segmented","pericardium",50,0.07,0.00999999999999999,0.003,0.0370860589999383,0.183326258829341,0.00306223557955883,0.45,0.45,0.45,0.45,0.45,0.45,0.0479655490509802,0.442363330135666,0.000167660569102541,299,299,299 -"1064","OGC_AmsterdamUMC_biexp_segmented","pericardium",100,0.07,0.00999999999999999,0.003,0.0387485065804243,0.106024067573401,0.00306070920381438,0.45,0.45,0.45,0.45,0.45,0.45,0.023849433162107,0.267496955607805,8.35301202824561e-05,299,299,299 -"1065","OGC_AmsterdamUMC_biexp_segmented","pericardium",200,0.07,0.00999999999999999,0.003,0.0393008418149469,0.0500135454072159,0.00306053200851328,0.45,0.45,0.45,0.45,0.45,0.45,0.0118997768390481,0.000219338674816968,4.17111224394722e-05,299,299,299 -"1066","OGC_AmsterdamUMC_biexp_segmented","right kidney medulla",10,0.158,0.019,0.00209,0.131137655472228,0.23929273655041,0.00211294106858926,0.45,0.45,0.45,0.45,0.45,0.45,0.168355074392517,0.51806573149938,0.000552807844610286,299,299,299 -"1067","OGC_AmsterdamUMC_biexp_segmented","right kidney medulla",30,0.158,0.019,0.00209,0.142171494963177,0.0695125128780473,0.00212004729340849,0.45,0.45,0.45,0.45,0.45,0.45,0.0573389805736233,0.134611155772767,0.000187357474017551,299,299,299 -"1068","OGC_AmsterdamUMC_biexp_segmented","right kidney medulla",50,0.158,0.019,0.00209,0.144230450313924,0.0602733335257936,0.0021176750832144,0.45,0.45,0.45,0.45,0.45,0.45,0.0341675563935529,0.12341684421226,0.00011175436277293,299,299,299 -"1069","OGC_AmsterdamUMC_biexp_segmented","right kidney medulla",100,0.158,0.019,0.00209,0.145267407398938,0.0500000044107411,0.00211702242995272,0.45,0.45,0.45,0.45,0.45,0.45,0.0170205002442602,2.78908812166402e-08,5.56977222247853e-05,299,299,299 -"1070","OGC_AmsterdamUMC_biexp_segmented","right kidney medulla",200,0.158,0.019,0.00209,0.145626005001748,0.0500000006964344,0.00211705269269561,0.45,0.45,0.45,0.45,0.45,0.45,0.00849828677625711,3.37636833357999e-09,2.78144870865059e-05,299,299,299 -"1071","OGC_AmsterdamUMC_biexp_segmented","Right kydney cortex",10,0.097,0.02,0.00212,0.0770289257365628,0.290009001953962,0.00212883317155661,0.45,0.45,0.45,0.45,0.45,0.45,0.166304018024042,0.603644499495657,0.00051616801847906,299,299,299 -"1072","OGC_AmsterdamUMC_biexp_segmented","Right kydney cortex",30,0.097,0.02,0.00212,0.0870000968545719,0.151929914388419,0.0021359301733605,0.45,0.45,0.45,0.45,0.45,0.45,0.0574976409055934,0.364025907839904,0.000176993129917423,299,299,299 -"1073","OGC_AmsterdamUMC_biexp_segmented","Right kydney cortex",50,0.097,0.02,0.00212,0.0889780037469703,0.061805558817787,0.00213387593192174,0.45,0.45,0.45,0.45,0.45,0.45,0.0342843737704229,0.0818597418959281,0.000105632673759659,299,299,299 -"1074","OGC_AmsterdamUMC_biexp_segmented","Right kydney cortex",100,0.097,0.02,0.00212,0.0899830331937219,0.0513588295468723,0.00213333518395996,0.45,0.45,0.45,0.45,0.45,0.45,0.0170840339210639,0.0173947389701512,5.26615544157948e-05,299,299,299 -"1075","OGC_AmsterdamUMC_biexp_segmented","Right kydney cortex",200,0.097,0.02,0.00212,0.0903344617802364,0.0500000042404332,0.00213338192941296,0.45,0.45,0.45,0.45,0.45,0.45,0.00853089075327522,1.84990926686926e-08,2.63008101231868e-05,299,299,299 -"1076","OGC_AmsterdamUMC_biexp_segmented","small intestine",10,0.69,0.029,0.00131,0.661034109551995,0.0519537390164872,0.00131067694624179,0.45,0.45,0.45,0.45,0.45,0.45,0.143273359410903,0.0074659175711477,0.000965452623261198,299,299,299 -"1077","OGC_AmsterdamUMC_biexp_segmented","small intestine",30,0.69,0.029,0.00131,0.677766188296272,0.0500107152091894,0.00136286457292459,0.45,0.45,0.45,0.45,0.45,0.45,0.0442643529688101,0.000185589786428744,0.000322790073010869,299,299,299 -"1078","OGC_AmsterdamUMC_biexp_segmented","small intestine",50,0.69,0.029,0.00131,0.680228686572044,0.0500000000118474,0.00135564782187268,0.45,0.45,0.45,0.45,0.45,0.45,0.0260317923438205,1.40320084211226e-10,0.000190041408090366,299,299,299 -"1079","OGC_AmsterdamUMC_biexp_segmented","small intestine",100,0.69,0.029,0.00131,0.681374427365553,0.0500000000003099,0.00135334951496678,0.45,0.45,0.45,0.45,0.45,0.45,0.0128991835119707,1.00907554152635e-12,9.41499541476281e-05,299,299,299 -"1080","OGC_AmsterdamUMC_biexp_segmented","small intestine",200,0.69,0.029,0.00131,0.681731199287339,0.0500000000001251,0.0013531962139409,0.45,0.45,0.45,0.45,0.45,0.45,0.00643133843394598,1.04042199865913e-13,4.69285815264881e-05,299,299,299 -"1081","OGC_AmsterdamUMC_biexp_segmented","spleen",10,0.2,0.03,0.00129999999999999,0.18520392281551,0.209255851356637,0.00131436647515706,0.45,0.45,0.45,0.45,0.45,0.45,0.128284620714988,0.43795050055203,0.000366856183513939,299,299,299 -"1082","OGC_AmsterdamUMC_biexp_segmented","spleen",30,0.2,0.03,0.00129999999999999,0.195921638044614,0.0570791154895169,0.00130408703951844,0.45,0.45,0.45,0.45,0.45,0.45,0.0419884764569373,0.0531685484918258,0.000119667429133032,299,299,299 -"1083","OGC_AmsterdamUMC_biexp_segmented","spleen",50,0.2,0.03,0.00129999999999999,0.197041413325606,0.0504893716375674,0.00130363013865361,0.45,0.45,0.45,0.45,0.45,0.45,0.0251082366944411,0.00383960153192709,7.15383551583112e-05,299,299,299 -"1084","OGC_AmsterdamUMC_biexp_segmented","spleen",100,0.2,0.03,0.00129999999999999,0.197638649057216,0.0500000097397441,0.0013037149142624,0.45,0.45,0.45,0.45,0.45,0.45,0.0125312243299692,1.90669760189101e-08,3.5694004704467e-05,299,299,299 -"1085","OGC_AmsterdamUMC_biexp_segmented","spleen",200,0.2,0.03,0.00129999999999999,0.197860311649606,0.050000009538866,0.00130389290756918,0.45,0.45,0.45,0.45,0.45,0.45,0.00626126043010556,1.66111763089958e-08,1.78317987728703e-05,299,299,299 -"1086","OGC_AmsterdamUMC_biexp_segmented","st wall",10,0.3,0.012,0.0015,0.224968563584563,0.152728411143095,0.00164792160735107,0.45,0.45,0.45,0.45,0.45,0.45,0.147842246989045,0.375057604026138,0.000489535231234454,299,299,299 -"1087","OGC_AmsterdamUMC_biexp_segmented","st wall",30,0.3,0.012,0.0015,0.238787520936113,0.0523502353354238,0.00163390334662365,0.45,0.45,0.45,0.45,0.45,0.45,0.048525316538426,0.0309648568654976,0.000160157639209458,299,299,299 -"1088","OGC_AmsterdamUMC_biexp_segmented","st wall",50,0.3,0.012,0.0015,0.240378264028766,0.0500000002507408,0.00163237397051999,0.45,0.45,0.45,0.45,0.45,0.45,0.0289474376095694,2.28400922500028e-09,9.5559900702868e-05,299,299,299 -"1089","OGC_AmsterdamUMC_biexp_segmented","st wall",100,0.3,0.012,0.0015,0.241188415913859,0.0500000000085327,0.00163207076247144,0.45,0.45,0.45,0.45,0.45,0.45,0.0144296581809571,2.55196631854657e-11,4.76338814555705e-05,299,299,299 -"1090","OGC_AmsterdamUMC_biexp_segmented","st wall",200,0.3,0.012,0.0015,0.241472821664073,0.050000000003392,0.00163218547366257,0.45,0.45,0.45,0.45,0.45,0.45,0.00720667286447567,2.68542354759096e-12,2.37887610442069e-05,299,299,299 -"1091","OGC_AmsterdamUMC_biexp_segmented","trans lower intestine",10,0.69,0.029,0.00130999999999999,0.661034109428733,0.051953739032677,0.00131067694715308,0.45,0.45,0.45,0.45,0.45,0.45,0.143273359446166,0.00746591768148673,0.000965452622732951,299,299,299 -"1092","OGC_AmsterdamUMC_biexp_segmented","trans lower intestine",30,0.69,0.029,0.00130999999999999,0.677766188297563,0.0500107152094703,0.00136286457295964,0.45,0.45,0.45,0.45,0.45,0.45,0.0442643528902771,0.000185589791293374,0.000322790072283088,299,299,299 -"1093","OGC_AmsterdamUMC_biexp_segmented","trans lower intestine",50,0.69,0.029,0.00130999999999999,0.680228686551908,0.0500000000118474,0.00135564782204329,0.45,0.45,0.45,0.45,0.45,0.45,0.0260317923637547,1.40320090168179e-10,0.000190041408458065,299,299,299 -"1094","OGC_AmsterdamUMC_biexp_segmented","trans lower intestine",100,0.69,0.029,0.00130999999999999,0.681374427368473,0.0500000000003099,0.00135334951494511,0.45,0.45,0.45,0.45,0.45,0.45,0.0128991835128633,1.00907554152635e-12,9.41499541220862e-05,299,299,299 -"1095","OGC_AmsterdamUMC_biexp_segmented","trans lower intestine",200,0.69,0.029,0.00130999999999999,0.681731199274704,0.0500000000001251,0.00135319621405087,0.45,0.45,0.45,0.45,0.45,0.45,0.00643133843132689,1.04042199865913e-13,4.69285814418112e-05,299,299,299 -"1096","OGC_AmsterdamUMC_biexp_segmented","Vein",10,1,0.1,0.00299999999999999,0.89187652895809,0.130371770524695,0.000532739646128184,0.45,0.45,0.45,0.45,0.45,0.45,0.0603329212170224,0.0338595995383155,0.000876166916139467,299,299,299 -"1097","OGC_AmsterdamUMC_biexp_segmented","Vein",30,1,0.1,0.00299999999999999,0.963958649017849,0.108709609163886,0.000532747467797313,0.45,0.45,0.45,0.45,0.45,0.45,0.0201116860529649,0.00814087200746512,0.000876181456030473,299,299,299 -"1098","OGC_AmsterdamUMC_biexp_segmented","Vein",50,1,0.1,0.00299999999999999,0.97816921696173,0.105139058114482,0.000549427490684811,0.45,0.45,0.45,0.45,0.45,0.45,0.0125526161570658,0.00468981671679721,0.000912813853531625,299,299,299 -"1099","OGC_AmsterdamUMC_biexp_segmented","Vein",100,1,0.1,0.00299999999999999,0.989084383490558,0.102522060782067,0.000549477159445701,0.45,0.45,0.45,0.45,0.45,0.45,0.00627640558821837,0.00226259175037519,0.000912855515978945,299,299,299 -"1100","OGC_AmsterdamUMC_biexp_segmented","Vein",200,1,0.1,0.00299999999999999,0.994541921036986,0.101255042864984,0.000549569685652002,0.45,0.45,0.45,0.45,0.45,0.45,0.00313858362490246,0.00111235352002846,0.000913010145476883,299,299,299 -"1101","PV_MUMC_biexp","Artery",10,1,0.1,0.00299999999999999,0.911157661208258,0.123643660010133,0.000607355415641274,0.45,0.45,0.45,0.45,0.45,0.45,0.026370429591592,0.0234808191450651,0.000781512767273926,299,299,299 -"1102","PV_MUMC_biexp","Artery",30,1,0.1,0.00299999999999999,0.971237368286232,0.106940870680017,0.000607372598717673,0.45,0.45,0.45,0.45,0.45,0.45,0.00908754536836415,0.00648210009381864,0.000781528535341981,299,299,299 -"1103","PV_MUMC_biexp","Artery",50,1,0.1,0.00299999999999999,0.982984250169882,0.104032609128781,0.000607380534286713,0.45,0.45,0.45,0.45,0.45,0.45,0.00546001928066582,0.00376732124518195,0.000781521963607196,299,299,299 -"1104","PV_MUMC_biexp","Artery",100,1,0.1,0.00299999999999999,0.991733932625788,0.101934073426922,0.000607404386458529,0.45,0.45,0.45,0.45,0.45,0.45,0.00268925596160975,0.00184607816692797,0.000781542209010902,299,299,299 -"1105","PV_MUMC_biexp","Artery",200,1,0.1,0.00299999999999999,0.99602265687933,0.100931454917891,0.000607227933379224,0.45,0.45,0.45,0.45,0.45,0.45,0.00133610299033914,0.000915147387853727,0.000780813589540255,299,299,299 -"1106","PV_MUMC_biexp","asc lower intestine",10,0.69,0.029,0.00131,0.691470348442192,0.0320827827770493,0.00124871997099421,0.45,0.45,0.45,0.45,0.45,0.45,0.105711327862916,0.0160018733645475,0.000901831520780432,299,299,299 -"1107","PV_MUMC_biexp","asc lower intestine",30,0.69,0.029,0.00131,0.688093183614171,0.0294562213763849,0.00132700814797154,0.45,0.45,0.45,0.45,0.45,0.45,0.0452600702218041,0.00371662172542782,0.00039381399431472,299,299,299 -"1108","PV_MUMC_biexp","asc lower intestine",50,0.69,0.029,0.00131,0.688966038440429,0.029199601596073,0.00131674145667986,0.45,0.45,0.45,0.45,0.45,0.45,0.0271841976242685,0.0021834868114162,0.000231514013534254,299,299,299 -"1109","PV_MUMC_biexp","asc lower intestine",100,0.69,0.029,0.00131,0.689413085208427,0.0290804523150075,0.00131311782214893,0.45,0.45,0.45,0.45,0.45,0.45,0.0135989073526535,0.00108324352490203,0.000114727925771987,299,299,299 -"1110","PV_MUMC_biexp","asc lower intestine",200,0.69,0.029,0.00131,0.689573180926678,0.0290430944880149,0.00131259557708985,0.45,0.45,0.45,0.45,0.45,0.45,0.00680047675905179,0.000540559071221946,5.72226175968247e-05,299,299,299 -"1111","PV_MUMC_biexp","Blood RA",10,1,0.1,0.00299999999999999,0.911157661208258,0.123643660010133,0.000607355415641274,0.45,0.45,0.45,0.45,0.45,0.45,0.026370429591592,0.0234808191450651,0.000781512767273926,299,299,299 -"1112","PV_MUMC_biexp","Blood RA",30,1,0.1,0.00299999999999999,0.971237368286232,0.106940870680017,0.000607372598717673,0.45,0.45,0.45,0.45,0.45,0.45,0.00908754536836415,0.00648210009381864,0.000781528535341981,299,299,299 -"1113","PV_MUMC_biexp","Blood RA",50,1,0.1,0.00299999999999999,0.982984250169882,0.104032609128781,0.000607380534286713,0.45,0.45,0.45,0.45,0.45,0.45,0.00546001928066582,0.00376732124518195,0.000781521963607196,299,299,299 -"1114","PV_MUMC_biexp","Blood RA",100,1,0.1,0.00299999999999999,0.991733932625788,0.101934073426922,0.000607404386458529,0.45,0.45,0.45,0.45,0.45,0.45,0.00268925596160975,0.00184607816692797,0.000781542209010902,299,299,299 -"1115","PV_MUMC_biexp","Blood RA",200,1,0.1,0.00299999999999999,0.99602265687933,0.100931454917891,0.000607227933379224,0.45,0.45,0.45,0.45,0.45,0.45,0.00133610299033914,0.000915147387853727,0.000780813589540255,299,299,299 -"1116","PV_MUMC_biexp","Blood RV",10,1,0.1,0.003,0.911157661205427,0.123643660013595,0.000607355415641274,0.45,0.45,0.45,0.45,0.45,0.45,0.0263704296062989,0.0234808191539726,0.000781512767273926,299,299,299 -"1117","PV_MUMC_biexp","Blood RV",30,1,0.1,0.003,0.971237368284705,0.106940870680865,0.000607372598717673,0.45,0.45,0.45,0.45,0.45,0.45,0.00908754537244282,0.00648210009371694,0.000781528535341981,299,299,299 -"1118","PV_MUMC_biexp","Blood RV",50,1,0.1,0.003,0.982984250166763,0.104032609128906,0.000607380534286713,0.45,0.45,0.45,0.45,0.45,0.45,0.00546001928424493,0.00376732124561751,0.000781521963607196,299,299,299 -"1119","PV_MUMC_biexp","Blood RV",100,1,0.1,0.003,0.991733932625732,0.101934073427047,0.000607404386458529,0.45,0.45,0.45,0.45,0.45,0.45,0.00268925596027005,0.00184607816688224,0.000781542209010902,299,299,299 -"1120","PV_MUMC_biexp","Blood RV",200,1,0.1,0.003,0.996022656879395,0.100931454917885,0.000607227933379224,0.45,0.45,0.45,0.45,0.45,0.45,0.00133610299058227,0.00091514738792123,0.000780813589540255,299,299,299 -"1121","PV_MUMC_biexp","desc lower intestine",10,0.69,0.029,0.00131,0.691470348438474,0.0320827827803892,0.00124871997066846,0.45,0.45,0.45,0.45,0.45,0.45,0.105711327913523,0.0160018733571079,0.000901831520760143,299,299,299 -"1122","PV_MUMC_biexp","desc lower intestine",30,0.69,0.029,0.00131,0.688093183608034,0.029456221376894,0.0013270081480873,0.45,0.45,0.45,0.45,0.45,0.45,0.0452600702369857,0.00371662172759421,0.000393813994419125,299,299,299 -"1123","PV_MUMC_biexp","desc lower intestine",50,0.69,0.029,0.00131,0.688966038440901,0.0291996015957491,0.00131674145666527,0.45,0.45,0.45,0.45,0.45,0.45,0.0271841976084912,0.00218348680950215,0.000231514013492556,299,299,299 -"1124","PV_MUMC_biexp","desc lower intestine",100,0.69,0.029,0.00131,0.689413085205758,0.0290804523152126,0.00131311782216352,0.45,0.45,0.45,0.45,0.45,0.45,0.0135989073563255,0.00108324352514479,0.00011472792578306,299,299,299 -"1125","PV_MUMC_biexp","desc lower intestine",200,0.69,0.029,0.00131,0.689573180931052,0.0290430944877037,0.00131259557707978,0.45,0.45,0.45,0.45,0.45,0.45,0.00680047675835751,0.000540559071153575,5.72226175969141e-05,299,299,299 -"1126","PV_MUMC_biexp","esophagus",10,0.32,0.03,0.00167,0.341951256652346,0.0443082102156922,0.00165164120861557,0.45,0.45,0.45,0.45,0.45,0.45,0.136646889254368,0.0422238468182239,0.000613120728096095,299,299,299 -"1127","PV_MUMC_biexp","esophagus",30,0.32,0.03,0.00167,0.321738000238034,0.0318901122330195,0.00167589391557833,0.45,0.45,0.45,0.45,0.45,0.45,0.0512324652322236,0.0100071517612241,0.000225181513106075,299,299,299 -"1128","PV_MUMC_biexp","esophagus",50,0.32,0.03,0.00167,0.320438404116627,0.0306881621515803,0.0016720578247672,0.45,0.45,0.45,0.45,0.45,0.45,0.0308272011734793,0.00536029641161523,0.000134201495889235,299,299,299 -"1129","PV_MUMC_biexp","esophagus",100,0.32,0.03,0.00167,0.319901550187616,0.0302186887532524,0.00167069892645762,0.45,0.45,0.45,0.45,0.45,0.45,0.0154217190168373,0.00260173291987668,6.69010926615098e-05,299,299,299 -"1130","PV_MUMC_biexp","esophagus",200,0.32,0.03,0.00167,0.319817809868591,0.0300872710754051,0.00167049620333745,0.45,0.45,0.45,0.45,0.45,0.45,0.00771274352229113,0.00129345861655773,3.34227542018821e-05,299,299,299 -"1131","PV_MUMC_biexp","esophagus cont",10,0.32,0.03,0.00167,0.341951256652346,0.0443082102156922,0.00165164120861557,0.45,0.45,0.45,0.45,0.45,0.45,0.136646889254368,0.0422238468182239,0.000613120728096095,299,299,299 -"1132","PV_MUMC_biexp","esophagus cont",30,0.32,0.03,0.00167,0.321738000238034,0.0318901122330195,0.00167589391557833,0.45,0.45,0.45,0.45,0.45,0.45,0.0512324652322236,0.0100071517612241,0.000225181513106075,299,299,299 -"1133","PV_MUMC_biexp","esophagus cont",50,0.32,0.03,0.00167,0.320438404116627,0.0306881621515803,0.0016720578247672,0.45,0.45,0.45,0.45,0.45,0.45,0.0308272011734793,0.00536029641161523,0.000134201495889235,299,299,299 -"1134","PV_MUMC_biexp","esophagus cont",100,0.32,0.03,0.00167,0.319901550187616,0.0302186887532524,0.00167069892645762,0.45,0.45,0.45,0.45,0.45,0.45,0.0154217190168373,0.00260173291987668,6.69010926615098e-05,299,299,299 -"1135","PV_MUMC_biexp","esophagus cont",200,0.32,0.03,0.00167,0.319817809868591,0.0300872710754051,0.00167049620333745,0.45,0.45,0.45,0.45,0.45,0.45,0.00771274352229113,0.00129345861655773,3.34227542018821e-05,299,299,299 -"1136","PV_MUMC_biexp","Left kidney cortex",10,0.097,0.02,0.00212,0.220417076000319,0.0571029768448487,0.00196142630039163,0.45,0.45,0.45,0.45,0.45,0.45,0.227476267626386,0.0729478358934064,0.000476707393277127,299,299,299 -"1137","PV_MUMC_biexp","Left kidney cortex",30,0.097,0.02,0.00212,0.111610836530415,0.0396706310262654,0.00211129988129422,0.45,0.45,0.45,0.45,0.45,0.45,0.0688152496428461,0.0495971560408634,0.000201428915040513,299,299,299 -"1138","PV_MUMC_biexp","Left kidney cortex",50,0.097,0.02,0.00212,0.102266476525456,0.0297379126182991,0.00212210157066183,0.45,0.45,0.45,0.45,0.45,0.45,0.0439513706234316,0.0327823563797905,0.000131842621606404,299,299,299 -"1139","PV_MUMC_biexp","Left kidney cortex",100,0.097,0.02,0.00212,0.0976935027412244,0.0221486147583032,0.00212288813907007,0.45,0.45,0.45,0.45,0.45,0.45,0.0228519196727884,0.008359825422111,6.85394224388675e-05,299,299,299 -"1140","PV_MUMC_biexp","Left kidney cortex",200,0.097,0.02,0.00212,0.0965382138667791,0.0206882791377273,0.00212243008601598,0.45,0.45,0.45,0.45,0.45,0.45,0.0115319784046807,0.00346321897263116,3.42475058530339e-05,299,299,299 -"1141","PV_MUMC_biexp","left kidney medulla",10,0.158,0.019,0.00209,0.24120386329387,0.0509911843093028,0.00196778935813256,0.45,0.45,0.45,0.45,0.45,0.45,0.193488008898608,0.0657191990616205,0.000536034428490282,299,299,299 -"1142","PV_MUMC_biexp","left kidney medulla",30,0.158,0.019,0.00209,0.164814850462982,0.0291251142303587,0.00209685190600965,0.45,0.45,0.45,0.45,0.45,0.45,0.0712489389975971,0.0332296869821639,0.000229607461650821,299,299,299 -"1143","PV_MUMC_biexp","left kidney medulla",50,0.158,0.019,0.00209,0.159241670908134,0.0229677251921808,0.00209748613587334,0.45,0.45,0.45,0.45,0.45,0.45,0.0452036482346777,0.0163302426902368,0.00014339747354893,299,299,299 -"1144","PV_MUMC_biexp","left kidney medulla",100,0.158,0.019,0.00209,0.156984698748645,0.0199561875274044,0.00209573123449385,0.45,0.45,0.45,0.45,0.45,0.45,0.0231479275981785,0.00415813495079401,7.20856548546837e-05,299,299,299 -"1145","PV_MUMC_biexp","left kidney medulla",200,0.158,0.019,0.00209,0.156461546723381,0.0194381289374098,0.00209523456298188,0.45,0.45,0.45,0.45,0.45,0.45,0.0116921889457988,0.00197122244647025,3.60164165725836e-05,299,299,299 -"1146","PV_MUMC_biexp","Liver",10,0.11,0.1,0.0015,0.156096041950495,0.103004334953046,0.00143196282270513,0.45,0.45,0.45,0.45,0.45,0.45,0.110349251520112,0.0779961628143732,0.000358196217736956,299,299,299 -"1147","PV_MUMC_biexp","Liver",30,0.11,0.1,0.0015,0.116101779636099,0.1138229593791,0.00149777113036028,0.45,0.45,0.45,0.45,0.45,0.45,0.034776317507387,0.0600988513603365,0.000144925790948956,299,299,299 -"1148","PV_MUMC_biexp","Liver",50,0.11,0.1,0.0015,0.111612534570894,0.109841008435211,0.00150002526959645,0.45,0.45,0.45,0.45,0.45,0.45,0.0190068115405264,0.0441056576363389,9.05346431726557e-05,299,299,299 -"1149","PV_MUMC_biexp","Liver",100,0.11,0.1,0.0015,0.11025104441505,0.103810736875319,0.00149980894457395,0.45,0.45,0.45,0.45,0.45,0.45,0.00905977798222036,0.0236768256802226,4.54189359484425e-05,299,299,299 -"1150","PV_MUMC_biexp","Liver",200,0.11,0.1,0.0015,0.110022352713976,0.101269696328069,0.0014998347111719,0.45,0.45,0.45,0.45,0.45,0.45,0.0044943742719744,0.0114224658712206,2.26988794968306e-05,299,299,299 -"1151","PV_MUMC_biexp","Myocardium LV",10,0.15,0.08,0.0024,0.23174539274573,0.0906384604791835,0.00217540162548494,0.45,0.45,0.45,0.45,0.45,0.45,0.153842017133662,0.0756179003253372,0.000591423054588914,299,299,299 -"1152","PV_MUMC_biexp","Myocardium LV",30,0.15,0.08,0.0024,0.158168138690538,0.0933063148802885,0.00239930181407727,0.45,0.45,0.45,0.45,0.45,0.45,0.0489165297851719,0.049880735145211,0.000271077988216888,299,299,299 -"1153","PV_MUMC_biexp","Myocardium LV",50,0.15,0.08,0.0024,0.152084744420527,0.0869119825645677,0.00240374888679818,0.45,0.45,0.45,0.45,0.45,0.45,0.0271201467982294,0.0328951026205723,0.000173096890311616,299,299,299 -"1154","PV_MUMC_biexp","Myocardium LV",100,0.15,0.08,0.0024,0.150290059805964,0.0822822498107925,0.00240130466480788,0.45,0.45,0.45,0.45,0.45,0.45,0.0129706534619757,0.0161498294765764,8.77944422191819e-05,299,299,299 -"1155","PV_MUMC_biexp","Myocardium LV",200,0.15,0.08,0.0024,0.150002427028265,0.0807405911439673,0.00240036233092014,0.45,0.45,0.45,0.45,0.45,0.45,0.00641679887217117,0.00769652091390619,4.38595540374184e-05,299,299,299 -"1156","PV_MUMC_biexp","myocardium ra",10,0.07,0.07,0.0015,0.128345687194747,0.0825316505228132,0.00140833862248053,0.45,0.45,0.45,0.45,0.45,0.45,0.114737913407162,0.0798040133006487,0.000322847727404802,299,299,299 -"1157","PV_MUMC_biexp","myocardium ra",30,0.07,0.07,0.0015,0.0808769411594791,0.093179188822108,0.00149089305452715,0.45,0.45,0.45,0.45,0.45,0.45,0.0404412487711946,0.0680662255269266,0.000129511673752725,299,299,299 -"1158","PV_MUMC_biexp","myocardium ra",50,0.07,0.07,0.0015,0.0738186548068268,0.0870087926746789,0.00149857823558983,0.45,0.45,0.45,0.45,0.45,0.45,0.023244544317497,0.0544978802925074,8.40169485215999e-05,299,299,299 -"1159","PV_MUMC_biexp","myocardium ra",100,0.07,0.07,0.0015,0.0707073237714697,0.0759757339514294,0.0014998056841726,0.45,0.45,0.45,0.45,0.45,0.45,0.0105581939281603,0.0292975136083979,4.34633510601474e-05,299,299,299 -"1160","PV_MUMC_biexp","myocardium ra",200,0.07,0.07,0.0015,0.070115739623736,0.0717332279515257,0.00149983895466135,0.45,0.45,0.45,0.45,0.45,0.45,0.00507917209030401,0.0131396922117831,2.17222451683666e-05,299,299,299 -"1161","PV_MUMC_biexp","myocardium RV",10,0.15,0.08,0.0024,0.23174539274573,0.0906384604791835,0.00217540162548494,0.45,0.45,0.45,0.45,0.45,0.45,0.153842017133662,0.0756179003253372,0.000591423054588914,299,299,299 -"1162","PV_MUMC_biexp","myocardium RV",30,0.15,0.08,0.0024,0.158168138690538,0.0933063148802885,0.00239930181407727,0.45,0.45,0.45,0.45,0.45,0.45,0.0489165297851719,0.049880735145211,0.000271077988216888,299,299,299 -"1163","PV_MUMC_biexp","myocardium RV",50,0.15,0.08,0.0024,0.152084744420527,0.0869119825645677,0.00240374888679818,0.45,0.45,0.45,0.45,0.45,0.45,0.0271201467982294,0.0328951026205723,0.000173096890311616,299,299,299 -"1164","PV_MUMC_biexp","myocardium RV",100,0.15,0.08,0.0024,0.150290059805964,0.0822822498107925,0.00240130466480788,0.45,0.45,0.45,0.45,0.45,0.45,0.0129706534619757,0.0161498294765764,8.77944422191819e-05,299,299,299 -"1165","PV_MUMC_biexp","myocardium RV",200,0.15,0.08,0.0024,0.150002427028265,0.0807405911439673,0.00240036233092014,0.45,0.45,0.45,0.45,0.45,0.45,0.00641679887217117,0.00769652091390619,4.38595540374184e-05,299,299,299 -"1166","PV_MUMC_biexp","pancreas",10,0.15,0.01,0.00129999999999999,0.170823203204389,0.0484396671293969,0.00128341130108195,0.45,0.45,0.45,0.45,0.45,0.45,0.135276785103213,0.0693648067906324,0.000342833111852961,299,299,299 -"1167","PV_MUMC_biexp","pancreas",30,0.15,0.01,0.00129999999999999,0.139357428753803,0.0211791605193582,0.00132956207649237,0.45,0.45,0.45,0.45,0.45,0.45,0.0600015004474031,0.0343714821910045,0.000136158605057219,299,299,299 -"1168","PV_MUMC_biexp","pancreas",50,0.15,0.01,0.00129999999999999,0.136832912331991,0.0133451533082555,0.00132993178960967,0.45,0.45,0.45,0.45,0.45,0.45,0.0378707541645237,0.0118353435907057,8.31807200994293e-05,299,299,299 -"1169","PV_MUMC_biexp","pancreas",100,0.15,0.01,0.00129999999999999,0.13591079011917,0.011464130733693,0.00132978574256788,0.45,0.45,0.45,0.45,0.45,0.45,0.019496680742444,0.00219037196718289,4.15321836208148e-05,299,299,299 -"1170","PV_MUMC_biexp","pancreas",200,0.15,0.01,0.00129999999999999,0.135796421465576,0.0111580957885994,0.00132987960122183,0.45,0.45,0.45,0.45,0.45,0.45,0.00982799371378257,0.000979299181915567,2.07569431281731e-05,299,299,299 -"1171","PV_MUMC_biexp","pericardium",10,0.07,0.00999999999999999,0.003,0.391019540038776,0.044643914104375,0.00245103379176744,0.45,0.45,0.45,0.45,0.45,0.45,0.345288990615877,0.0685553221727792,0.000589805944574225,299,299,299 -"1172","PV_MUMC_biexp","pericardium",30,0.07,0.00999999999999999,0.003,0.279254963167638,0.0272516182326572,0.00286523068505902,0.45,0.45,0.45,0.45,0.45,0.45,0.326984869731808,0.0497742750374417,0.000202391605500055,299,299,299 -"1173","PV_MUMC_biexp","pericardium",50,0.07,0.00999999999999999,0.003,0.197907121793284,0.0171779174735046,0.00292567942662698,0.45,0.45,0.45,0.45,0.45,0.45,0.257892241602723,0.0314712950254075,0.000122141208493828,299,299,299 -"1174","PV_MUMC_biexp","pericardium",100,0.07,0.00999999999999999,0.003,0.101454392147406,0.0102999034458522,0.0029683983156719,0.45,0.45,0.45,0.45,0.45,0.45,0.0986460636016255,0.00484404848123746,5.80586216740766e-05,299,299,299 -"1175","PV_MUMC_biexp","pericardium",200,0.07,0.00999999999999999,0.003,0.0764077555060485,0.0099589090676984,0.00298894164686365,0.45,0.45,0.45,0.45,0.45,0.45,0.016170934406564,0.00205930827894513,2.4606310997004e-05,299,299,299 -"1176","PV_MUMC_biexp","right kidney medulla",10,0.158,0.019,0.00209,0.24120386329387,0.0509911843093028,0.00196778935813256,0.45,0.45,0.45,0.45,0.45,0.45,0.193488008898608,0.0657191990616205,0.000536034428490282,299,299,299 -"1177","PV_MUMC_biexp","right kidney medulla",30,0.158,0.019,0.00209,0.164814850462982,0.0291251142303587,0.00209685190600965,0.45,0.45,0.45,0.45,0.45,0.45,0.0712489389975971,0.0332296869821639,0.000229607461650821,299,299,299 -"1178","PV_MUMC_biexp","right kidney medulla",50,0.158,0.019,0.00209,0.159241670908134,0.0229677251921808,0.00209748613587334,0.45,0.45,0.45,0.45,0.45,0.45,0.0452036482346777,0.0163302426902368,0.00014339747354893,299,299,299 -"1179","PV_MUMC_biexp","right kidney medulla",100,0.158,0.019,0.00209,0.156984698748645,0.0199561875274044,0.00209573123449385,0.45,0.45,0.45,0.45,0.45,0.45,0.0231479275981785,0.00415813495079401,7.20856548546837e-05,299,299,299 -"1180","PV_MUMC_biexp","right kidney medulla",200,0.158,0.019,0.00209,0.156461546723381,0.0194381289374098,0.00209523456298188,0.45,0.45,0.45,0.45,0.45,0.45,0.0116921889457988,0.00197122244647025,3.60164165725836e-05,299,299,299 -"1181","PV_MUMC_biexp","Right kydney cortex",10,0.097,0.02,0.00212,0.220417076000319,0.0571029768448487,0.00196142630039163,0.45,0.45,0.45,0.45,0.45,0.45,0.227476267626386,0.0729478358934064,0.000476707393277127,299,299,299 -"1182","PV_MUMC_biexp","Right kydney cortex",30,0.097,0.02,0.00212,0.111610836530415,0.0396706310262654,0.00211129988129422,0.45,0.45,0.45,0.45,0.45,0.45,0.0688152496428461,0.0495971560408634,0.000201428915040513,299,299,299 -"1183","PV_MUMC_biexp","Right kydney cortex",50,0.097,0.02,0.00212,0.102266476525456,0.0297379126182991,0.00212210157066183,0.45,0.45,0.45,0.45,0.45,0.45,0.0439513706234316,0.0327823563797905,0.000131842621606404,299,299,299 -"1184","PV_MUMC_biexp","Right kydney cortex",100,0.097,0.02,0.00212,0.0976935027412244,0.0221486147583032,0.00212288813907007,0.45,0.45,0.45,0.45,0.45,0.45,0.0228519196727884,0.008359825422111,6.85394224388675e-05,299,299,299 -"1185","PV_MUMC_biexp","Right kydney cortex",200,0.097,0.02,0.00212,0.0965382138667791,0.0206882791377273,0.00212243008601598,0.45,0.45,0.45,0.45,0.45,0.45,0.0115319784046807,0.00346321897263116,3.42475058530339e-05,299,299,299 -"1186","PV_MUMC_biexp","small intestine",10,0.69,0.029,0.00131,0.691470348425927,0.0320827827806415,0.00124871997099421,0.45,0.45,0.45,0.45,0.45,0.45,0.105711327887533,0.016001873378134,0.000901831520780432,299,299,299 -"1187","PV_MUMC_biexp","small intestine",30,0.69,0.029,0.00131,0.688093183610048,0.0294562213769231,0.00132700814797154,0.45,0.45,0.45,0.45,0.45,0.45,0.0452600702287884,0.0037166217265589,0.00039381399431472,299,299,299 -"1188","PV_MUMC_biexp","small intestine",50,0.69,0.029,0.00131,0.688966038442785,0.0291996015955794,0.00131674145667986,0.45,0.45,0.45,0.45,0.45,0.45,0.027184197603594,0.00218348680956759,0.000231514013534254,299,299,299 -"1189","PV_MUMC_biexp","small intestine",100,0.69,0.029,0.00131,0.689413085207519,0.0290804523150365,0.00131311782214893,0.45,0.45,0.45,0.45,0.45,0.45,0.0135989073510044,0.00108324352463396,0.000114727925771987,299,299,299 -"1190","PV_MUMC_biexp","small intestine",200,0.69,0.029,0.00131,0.68957318092911,0.0290430944878304,0.00131259557708985,0.45,0.45,0.45,0.45,0.45,0.45,0.0068004767604521,0.000540559071379342,5.72226175968247e-05,299,299,299 -"1191","PV_MUMC_biexp","spleen",10,0.2,0.03,0.00129999999999999,0.225876447681667,0.0575696359776324,0.00127966060384555,0.45,0.45,0.45,0.45,0.45,0.45,0.118602073944037,0.062520158480083,0.000393628482668222,299,299,299 -"1192","PV_MUMC_biexp","spleen",30,0.2,0.03,0.00129999999999999,0.203121072306131,0.0348456914497528,0.00130102510958467,0.45,0.45,0.45,0.45,0.45,0.45,0.0446268922956713,0.0210587094438441,0.000147164603791659,299,299,299 -"1193","PV_MUMC_biexp","spleen",50,0.2,0.03,0.00129999999999999,0.201082893667275,0.0314005146720823,0.00130009513988208,0.45,0.45,0.45,0.45,0.45,0.45,0.0267655318154766,0.0084356309709076,8.81308491758965e-05,299,299,299 -"1194","PV_MUMC_biexp","spleen",100,0.2,0.03,0.00129999999999999,0.200152032734671,0.0303879420503012,0.00129992844970833,0.45,0.45,0.45,0.45,0.45,0.45,0.0133442316652335,0.00389581230793204,4.39969606570532e-05,299,299,299 -"1195","PV_MUMC_biexp","spleen",200,0.2,0.03,0.00129999999999999,0.199941650919663,0.0301350345500522,0.00130002908549186,0.45,0.45,0.45,0.45,0.45,0.45,0.00666620755141141,0.00192377586272549,2.19877190353903e-05,299,299,299 -"1196","PV_MUMC_biexp","st wall",10,0.3,0.012,0.0015,0.298023904016928,0.0321774338838152,0.00153452580530155,0.45,0.45,0.45,0.45,0.45,0.45,0.161634014328888,0.0492747590086314,0.000533257004546953,299,299,299 -"1197","PV_MUMC_biexp","st wall",30,0.3,0.012,0.0015,0.282564165732307,0.0143589906421383,0.0015521476980438,0.45,0.45,0.45,0.45,0.45,0.45,0.0672954043174911,0.00604975921241117,0.000195511671547606,299,299,299 -"1198","PV_MUMC_biexp","st wall",50,0.3,0.012,0.0015,0.282485950207945,0.0132910251735412,0.00154952110824206,0.45,0.45,0.45,0.45,0.45,0.45,0.0414670585791545,0.00269394728308602,0.000116680545563146,299,299,299 -"1199","PV_MUMC_biexp","st wall",100,0.3,0.012,0.0015,0.282721607034729,0.0128953989042575,0.00154867348929894,0.45,0.45,0.45,0.45,0.45,0.45,0.0210071304061686,0.00120056802082814,5.81997124889235e-05,299,299,299 -"1200","PV_MUMC_biexp","st wall",200,0.3,0.012,0.0015,0.282901507396517,0.0127926313384841,0.00154860370649833,0.45,0.45,0.45,0.45,0.45,0.45,0.0105397038722219,0.000580337571786342,2.9079611017769e-05,299,299,299 -"1201","PV_MUMC_biexp","trans lower intestine",10,0.69,0.029,0.00130999999999999,0.69147034850835,0.0320827827705391,0.00124871997062398,0.45,0.45,0.45,0.45,0.45,0.45,0.105711327778677,0.0160018733594873,0.000901831520052427,299,299,299 -"1202","PV_MUMC_biexp","trans lower intestine",30,0.69,0.029,0.00130999999999999,0.688093183592201,0.0294562213780215,0.0013270081480987,0.45,0.45,0.45,0.45,0.45,0.45,0.0452600702314974,0.0037166217263804,0.00039381399452838,299,299,299 -"1203","PV_MUMC_biexp","trans lower intestine",50,0.69,0.029,0.00130999999999999,0.688966038447113,0.0291996015955392,0.00131674145662316,0.45,0.45,0.45,0.45,0.45,0.45,0.0271841976254947,0.00218348681124656,0.000231514013569066,299,299,299 -"1204","PV_MUMC_biexp","trans lower intestine",100,0.69,0.029,0.00130999999999999,0.689413085205192,0.0290804523152176,0.00131311782217142,0.45,0.45,0.45,0.45,0.45,0.45,0.0135989073535134,0.00108324352525754,0.000114727925798872,299,299,299 -"1205","PV_MUMC_biexp","trans lower intestine",200,0.69,0.029,0.00130999999999999,0.689573180928788,0.0290430944879027,0.00131259557706545,0.45,0.45,0.45,0.45,0.45,0.45,0.00680047676072954,0.000540559071296888,5.72226175924109e-05,299,299,299 -"1206","PV_MUMC_biexp","Vein",10,1,0.1,0.00299999999999999,0.911157661201933,0.123643660019881,0.000607355415641274,0.45,0.45,0.45,0.45,0.45,0.45,0.0263704296071724,0.0234808191547324,0.000781512767273926,299,299,299 -"1207","PV_MUMC_biexp","Vein",30,1,0.1,0.00299999999999999,0.971237368284223,0.106940870680377,0.000607372598717673,0.45,0.45,0.45,0.45,0.45,0.45,0.00908754536827744,0.00648210009257791,0.000781528535341981,299,299,299 -"1208","PV_MUMC_biexp","Vein",50,1,0.1,0.00299999999999999,0.982984250165467,0.104032609129434,0.000607380534286713,0.45,0.45,0.45,0.45,0.45,0.45,0.00546001928016874,0.00376732124549515,0.000781521963607196,299,299,299 -"1209","PV_MUMC_biexp","Vein",100,1,0.1,0.00299999999999999,0.991733932627642,0.101934073426748,0.000607404386458529,0.45,0.45,0.45,0.45,0.45,0.45,0.00268925596046031,0.00184607816687764,0.000781542209010902,299,299,299 -"1210","PV_MUMC_biexp","Vein",200,1,0.1,0.00299999999999999,0.996022656879185,0.100931454917881,0.000607227933379224,0.45,0.45,0.45,0.45,0.45,0.45,0.00133610299004237,0.00091514738790242,0.000780813589540255,299,299,299 -"1211","PvH_KB_NKI_IVIMfit","Artery",10,1,0.1,0.00299999999999999,0.925854765740672,0.122594446175348,0.000574991619531873,0.45,0.45,0.45,0.45,0.45,0.45,0.0581968702826341,0.16338266599376,0.000860131480490684,299,299,299 -"1212","PvH_KB_NKI_IVIMfit","Artery",30,1,0.1,0.00299999999999999,0.975434046263813,0.106084352342321,0.000574989635117283,0.45,0.45,0.45,0.45,0.45,0.45,0.0193986641365219,0.0502272821523288,0.000860129451432506,299,299,299 -"1213","PvH_KB_NKI_IVIMfit","Artery",50,1,0.1,0.00299999999999999,0.985264177302766,0.1035116627474,0.000574987648133532,0.45,0.45,0.45,0.45,0.45,0.45,0.0116639576048978,0.0297635282059204,0.000860127422073134,299,299,299 -"1214","PvH_KB_NKI_IVIMfit","Artery",100,1,0.1,0.00299999999999999,0.992631985415158,0.101706371823852,0.000574982669398246,0.45,0.45,0.45,0.45,0.45,0.45,0.00584397242277973,0.0147530238753376,0.000860122347364691,299,299,299 -"1215","PvH_KB_NKI_IVIMfit","Artery",200,1,0.1,0.00299999999999999,0.996315722324709,0.10084120596656,0.000574972663309995,0.45,0.45,0.45,0.45,0.45,0.45,0.00292541862788362,0.00734598250269145,0.000860112192396902,299,299,299 -"1216","PvH_KB_NKI_IVIMfit","asc lower intestine",10,0.69,0.029,0.00131,0.680218362444095,0.0500663182494933,0.00145020569396961,0.45,0.45,0.45,0.45,0.45,0.45,0.18320141147568,0.238940197069378,0.00107227605518526,299,299,299 -"1217","PvH_KB_NKI_IVIMfit","asc lower intestine",30,0.69,0.029,0.00131,0.676680511546324,0.03411776348862,0.00139504564681615,0.45,0.45,0.45,0.45,0.45,0.45,0.065965120993601,0.0695342477735909,0.000430833853766582,299,299,299 -"1218","PvH_KB_NKI_IVIMfit","asc lower intestine",50,0.69,0.029,0.00131,0.683651184865244,0.0318790831019141,0.00134158593671561,0.45,0.45,0.45,0.45,0.45,0.45,0.031483838344407,0.0409943521607107,0.000218127540832125,299,299,299 -"1219","PvH_KB_NKI_IVIMfit","asc lower intestine",100,0.69,0.029,0.00131,0.685021723698742,0.0304649311635959,0.00132963191638665,0.45,0.45,0.45,0.45,0.45,0.45,0.0151528426021628,0.0204282695180872,0.00010491631501074,299,299,299 -"1220","PvH_KB_NKI_IVIMfit","asc lower intestine",200,0.69,0.029,0.00131,0.685125407692503,0.0298136345250442,0.00132919801634713,0.45,0.45,0.45,0.45,0.45,0.45,0.00755023567893948,0.0102124659620521,5.21741063712151e-05,299,299,299 -"1221","PvH_KB_NKI_IVIMfit","Blood RA",10,1,0.1,0.00299999999999999,0.925854765740672,0.122594446175348,0.000574991619531873,0.45,0.45,0.45,0.45,0.45,0.45,0.0581968702826341,0.16338266599376,0.000860131480490684,299,299,299 -"1222","PvH_KB_NKI_IVIMfit","Blood RA",30,1,0.1,0.00299999999999999,0.975434046263813,0.106084352342321,0.000574989635117283,0.45,0.45,0.45,0.45,0.45,0.45,0.0193986641365219,0.0502272821523288,0.000860129451432506,299,299,299 -"1223","PvH_KB_NKI_IVIMfit","Blood RA",50,1,0.1,0.00299999999999999,0.985264177302766,0.1035116627474,0.000574987648133532,0.45,0.45,0.45,0.45,0.45,0.45,0.0116639576048978,0.0297635282059204,0.000860127422073134,299,299,299 -"1224","PvH_KB_NKI_IVIMfit","Blood RA",100,1,0.1,0.00299999999999999,0.992631985415158,0.101706371823852,0.000574982669398246,0.45,0.45,0.45,0.45,0.45,0.45,0.00584397242277973,0.0147530238753376,0.000860122347364691,299,299,299 -"1225","PvH_KB_NKI_IVIMfit","Blood RA",200,1,0.1,0.00299999999999999,0.996315722324709,0.10084120596656,0.000574972663309995,0.45,0.45,0.45,0.45,0.45,0.45,0.00292541862788362,0.00734598250269145,0.000860112192396902,299,299,299 -"1226","PvH_KB_NKI_IVIMfit","Blood RV",10,1,0.1,0.003,0.925854765740672,0.122594446175349,0.000574991619531873,0.45,0.45,0.45,0.45,0.45,0.45,0.0581968702826341,0.16338266599376,0.000860131480490684,299,299,299 -"1227","PvH_KB_NKI_IVIMfit","Blood RV",30,1,0.1,0.003,0.975434046263813,0.106084352342321,0.000574989635117283,0.45,0.45,0.45,0.45,0.45,0.45,0.0193986641365219,0.0502272821523288,0.000860129451432506,299,299,299 -"1228","PvH_KB_NKI_IVIMfit","Blood RV",50,1,0.1,0.003,0.985264177302766,0.103511662747401,0.000574987648133532,0.45,0.45,0.45,0.45,0.45,0.45,0.0116639576048978,0.0297635282059204,0.000860127422073134,299,299,299 -"1229","PvH_KB_NKI_IVIMfit","Blood RV",100,1,0.1,0.003,0.992631985415158,0.101706371823852,0.000574982669398246,0.45,0.45,0.45,0.45,0.45,0.45,0.00584397242277973,0.0147530238753376,0.000860122347364691,299,299,299 -"1230","PvH_KB_NKI_IVIMfit","Blood RV",200,1,0.1,0.003,0.996315722324709,0.10084120596656,0.000574972663309995,0.45,0.45,0.45,0.45,0.45,0.45,0.00292541862788362,0.00734598250269145,0.000860112192396902,299,299,299 -"1231","PvH_KB_NKI_IVIMfit","desc lower intestine",10,0.69,0.029,0.00131,0.680218362444095,0.0500663182494931,0.00145020569396961,0.45,0.45,0.45,0.45,0.45,0.45,0.183201411475679,0.238940197069379,0.00107227605518525,299,299,299 -"1232","PvH_KB_NKI_IVIMfit","desc lower intestine",30,0.69,0.029,0.00131,0.676680511546324,0.03411776348862,0.00139504564681615,0.45,0.45,0.45,0.45,0.45,0.45,0.0659651209936009,0.0695342477735909,0.000430833853766582,299,299,299 -"1233","PvH_KB_NKI_IVIMfit","desc lower intestine",50,0.69,0.029,0.00131,0.683651184865244,0.0318790831019141,0.00134158593671561,0.45,0.45,0.45,0.45,0.45,0.45,0.031483838344407,0.0409943521607107,0.000218127540832125,299,299,299 -"1234","PvH_KB_NKI_IVIMfit","desc lower intestine",100,0.69,0.029,0.00131,0.685021723698742,0.030464931163596,0.00132963191638665,0.45,0.45,0.45,0.45,0.45,0.45,0.0151528426021628,0.0204282695180872,0.00010491631501074,299,299,299 -"1235","PvH_KB_NKI_IVIMfit","desc lower intestine",200,0.69,0.029,0.00131,0.685125407692503,0.0298136345250442,0.00132919801634713,0.45,0.45,0.45,0.45,0.45,0.45,0.00755023567893948,0.0102124659620521,5.2174106371215e-05,299,299,299 -"1236","PvH_KB_NKI_IVIMfit","esophagus",10,0.32,0.03,0.00167,0.29841059274169,0.0442917245746802,0.00187408166083415,0.45,0.45,0.45,0.45,0.45,0.45,0.184008516163715,0.548526724845917,0.000802631212510903,299,299,299 -"1237","PvH_KB_NKI_IVIMfit","esophagus",30,0.32,0.03,0.00167,0.313531066218477,0.0430413742767113,0.00168684044245015,0.45,0.45,0.45,0.45,0.45,0.45,0.0710064243302227,0.170195578630213,0.000230630539852498,299,299,299 -"1238","PvH_KB_NKI_IVIMfit","esophagus",50,0.32,0.03,0.00167,0.317578815938024,0.0366509096410508,0.00167311412934981,0.45,0.45,0.45,0.45,0.45,0.45,0.0404456721798995,0.0899370095778668,0.000132104288440074,299,299,299 -"1239","PvH_KB_NKI_IVIMfit","esophagus",100,0.32,0.03,0.00167,0.318448941931438,0.0330389958676046,0.00167079957042429,0.45,0.45,0.45,0.45,0.45,0.45,0.0199938893842113,0.0441125999132166,6.52412848437791e-05,299,299,299 -"1240","PvH_KB_NKI_IVIMfit","esophagus",200,0.32,0.03,0.00167,0.318325957819888,0.0315293748842576,0.00167183204686577,0.45,0.45,0.45,0.45,0.45,0.45,0.00999687327785092,0.0220004280760452,3.25799640736595e-05,299,299,299 -"1241","PvH_KB_NKI_IVIMfit","esophagus cont",10,0.32,0.03,0.00167,0.29841059274169,0.0442917245746802,0.00187408166083415,0.45,0.45,0.45,0.45,0.45,0.45,0.184008516163715,0.548526724845917,0.000802631212510903,299,299,299 -"1242","PvH_KB_NKI_IVIMfit","esophagus cont",30,0.32,0.03,0.00167,0.313531066218477,0.0430413742767113,0.00168684044245015,0.45,0.45,0.45,0.45,0.45,0.45,0.0710064243302227,0.170195578630213,0.000230630539852498,299,299,299 -"1243","PvH_KB_NKI_IVIMfit","esophagus cont",50,0.32,0.03,0.00167,0.317578815938024,0.0366509096410508,0.00167311412934981,0.45,0.45,0.45,0.45,0.45,0.45,0.0404456721798995,0.0899370095778668,0.000132104288440074,299,299,299 -"1244","PvH_KB_NKI_IVIMfit","esophagus cont",100,0.32,0.03,0.00167,0.318448941931438,0.0330389958676046,0.00167079957042429,0.45,0.45,0.45,0.45,0.45,0.45,0.0199938893842113,0.0441125999132166,6.52412848437791e-05,299,299,299 -"1245","PvH_KB_NKI_IVIMfit","esophagus cont",200,0.32,0.03,0.00167,0.318325957819888,0.0315293748842576,0.00167183204686577,0.45,0.45,0.45,0.45,0.45,0.45,0.00999687327785092,0.0220004280760452,3.25799640736595e-05,299,299,299 -"1246","PvH_KB_NKI_IVIMfit","Left kidney cortex",10,0.097,0.02,0.00212,0.137208356725514,0.0328556971324846,0.00234326664289797,0.45,0.45,0.45,0.45,0.45,0.45,0.15082347496435,0.709808610584414,0.000864240976087832,299,299,299 -"1247","PvH_KB_NKI_IVIMfit","Left kidney cortex",30,0.097,0.02,0.00212,0.0992412318439564,0.0541673413725415,0.00214700894107657,0.45,0.45,0.45,0.45,0.45,0.45,0.0755136199052382,0.714891073500594,0.000274973775845307,299,299,299 -"1248","PvH_KB_NKI_IVIMfit","Left kidney cortex",50,0.097,0.02,0.00212,0.0949976583740269,0.0352799627988735,0.00212503830893963,0.45,0.45,0.45,0.45,0.45,0.45,0.05273380889146,0.514843545827012,0.000151034004693661,299,299,299 -"1249","PvH_KB_NKI_IVIMfit","Left kidney cortex",100,0.097,0.02,0.00212,0.0945738449819955,0.0377584763249772,0.00212098430091707,0.45,0.45,0.45,0.45,0.45,0.45,0.0282686751362,0.195276335283525,7.39915972157195e-05,299,299,299 -"1250","PvH_KB_NKI_IVIMfit","Left kidney cortex",200,0.097,0.02,0.00212,0.09440985913665,0.0257008245150506,0.00212206065941023,0.45,0.45,0.45,0.45,0.45,0.45,0.0141025883395057,0.0756451362928356,3.68974365660527e-05,299,299,299 -"1251","PvH_KB_NKI_IVIMfit","left kidney medulla",10,0.158,0.019,0.00209,0.172769410759528,-0.0129025903180061,0.00231850649703214,0.45,0.45,0.45,0.45,0.45,0.45,0.167588199078237,0.881872268074511,0.000848804581955418,299,299,299 -"1252","PvH_KB_NKI_IVIMfit","left kidney medulla",30,0.158,0.019,0.00209,0.149260396785261,0.0838122057649798,0.00212653844272449,0.45,0.45,0.45,0.45,0.45,0.45,0.0846050158116964,0.756780752576388,0.000292908118231183,299,299,299 -"1253","PvH_KB_NKI_IVIMfit","left kidney medulla",50,0.158,0.019,0.00209,0.150537693871634,0.0320429234340867,0.00210117866439973,0.45,0.45,0.45,0.45,0.45,0.45,0.0558407026206822,0.238929110798656,0.00015795927517406,299,299,299 -"1254","PvH_KB_NKI_IVIMfit","left kidney medulla",100,0.158,0.019,0.00209,0.152330432578386,0.0263377429259093,0.00209634314665668,0.45,0.45,0.45,0.45,0.45,0.45,0.0275597380910475,0.0953262700118966,7.72066050910961e-05,299,299,299 -"1255","PvH_KB_NKI_IVIMfit","left kidney medulla",200,0.158,0.019,0.00209,0.152214803867475,0.0226013390728155,0.00209731568778259,0.45,0.45,0.45,0.45,0.45,0.45,0.0137429741491781,0.0460334488348233,3.84859139679403e-05,299,299,299 -"1256","PvH_KB_NKI_IVIMfit","Liver",10,0.11,0.1,0.0015,0.130553125135909,0.0509693625828437,0.0016065178196472,0.45,0.45,0.45,0.45,0.45,0.45,0.129706715815292,0.792719308738518,0.000572920768415419,299,299,299 -"1257","PvH_KB_NKI_IVIMfit","Liver",30,0.11,0.1,0.0015,0.110278145674883,0.149442129088004,0.00150011017405457,0.45,0.45,0.45,0.45,0.45,0.45,0.0601392900256081,0.625749782983355,0.000145272381840614,299,299,299 -"1258","PvH_KB_NKI_IVIMfit","Liver",50,0.11,0.1,0.0015,0.110399658585875,0.156527047310139,0.00149684450774862,0.45,0.45,0.45,0.45,0.45,0.45,0.0376036872310902,0.425066413433666,8.60313303494503e-05,299,299,299 -"1259","PvH_KB_NKI_IVIMfit","Liver",100,0.11,0.1,0.0015,0.110613242728435,0.113081530764667,0.00149725968516574,0.45,0.45,0.45,0.45,0.45,0.45,0.0187819737007067,0.139029982910973,4.28771429001848e-05,299,299,299 -"1260","PvH_KB_NKI_IVIMfit","Liver",200,0.11,0.1,0.0015,0.110409079705549,0.104936964791345,0.00149834160010346,0.45,0.45,0.45,0.45,0.45,0.45,0.00940444951440735,0.0672001936578303,2.14439959817085e-05,299,299,299 -"1261","PvH_KB_NKI_IVIMfit","Myocardium LV",10,0.15,0.08,0.0024,0.192025856189917,-0.0116385614260143,0.00259907377107704,0.45,0.45,0.45,0.45,0.45,0.45,0.179951896755359,0.653285559753479,0.000985415011828634,299,299,299 -"1262","PvH_KB_NKI_IVIMfit","Myocardium LV",30,0.15,0.08,0.0024,0.147972386415508,0.0861165427607028,0.0024674944945235,0.45,0.45,0.45,0.45,0.45,0.45,0.0975517459309261,0.440738077963084,0.000442366071987323,299,299,299 -"1263","PvH_KB_NKI_IVIMfit","Myocardium LV",50,0.15,0.08,0.0024,0.14844758544319,0.117368159099586,0.00240902650835479,0.45,0.45,0.45,0.45,0.45,0.45,0.0677149969447882,0.347462871948298,0.000216738591253995,299,299,299 -"1264","PvH_KB_NKI_IVIMfit","Myocardium LV",100,0.15,0.08,0.0024,0.150826921782195,0.0925669085492539,0.00239596194867005,0.45,0.45,0.45,0.45,0.45,0.45,0.0350209589736281,0.111206592869965,0.000102587631606259,299,299,299 -"1265","PvH_KB_NKI_IVIMfit","Myocardium LV",200,0.15,0.08,0.0024,0.151062767866115,0.0836181213359814,0.0023960480342215,0.45,0.45,0.45,0.45,0.45,0.45,0.0173407897911808,0.0492417148911839,5.08898087046965e-05,299,299,299 -"1266","PvH_KB_NKI_IVIMfit","myocardium ra",10,0.07,0.07,0.0015,0.104891587924175,0.00607975763165955,0.0016006526233169,0.45,0.45,0.45,0.45,0.45,0.45,0.118242882720712,0.784263691811179,0.000552215395037113,299,299,299 -"1267","PvH_KB_NKI_IVIMfit","myocardium ra",30,0.07,0.07,0.0015,0.0739083859817402,0.0645768275334392,0.0014995372849829,0.45,0.45,0.45,0.45,0.45,0.45,0.0552732082517841,0.772165078977779,0.000138751825608962,299,299,299 -"1268","PvH_KB_NKI_IVIMfit","myocardium ra",50,0.07,0.07,0.0015,0.0708663136362167,0.123754667071953,0.00149678850563412,0.45,0.45,0.45,0.45,0.45,0.45,0.0370810778303522,0.731555137917985,8.22913661782403e-05,299,299,299 -"1269","PvH_KB_NKI_IVIMfit","myocardium ra",100,0.07,0.07,0.0015,0.0706249468151481,0.0952858250331106,0.00149733160718627,0.45,0.45,0.45,0.45,0.45,0.45,0.0189664010793653,0.232113078306709,4.10318998599181e-05,299,299,299 -"1270","PvH_KB_NKI_IVIMfit","myocardium ra",200,0.07,0.07,0.0015,0.0704117897329917,0.0782860101683691,0.00149840262255921,0.45,0.45,0.45,0.45,0.45,0.45,0.00949705354554412,0.104550226230099,2.052244821904e-05,299,299,299 -"1271","PvH_KB_NKI_IVIMfit","myocardium RV",10,0.15,0.08,0.0024,0.192025856189917,-0.0116385614260143,0.00259907377107704,0.45,0.45,0.45,0.45,0.45,0.45,0.179951896755359,0.653285559753479,0.000985415011828634,299,299,299 -"1272","PvH_KB_NKI_IVIMfit","myocardium RV",30,0.15,0.08,0.0024,0.147972386415508,0.0861165427607028,0.0024674944945235,0.45,0.45,0.45,0.45,0.45,0.45,0.0975517459309261,0.440738077963084,0.000442366071987323,299,299,299 -"1273","PvH_KB_NKI_IVIMfit","myocardium RV",50,0.15,0.08,0.0024,0.14844758544319,0.117368159099586,0.00240902650835479,0.45,0.45,0.45,0.45,0.45,0.45,0.0677149969447882,0.347462871948298,0.000216738591253995,299,299,299 -"1274","PvH_KB_NKI_IVIMfit","myocardium RV",100,0.15,0.08,0.0024,0.150826921782195,0.0925669085492539,0.00239596194867005,0.45,0.45,0.45,0.45,0.45,0.45,0.0350209589736281,0.111206592869965,0.000102587631606259,299,299,299 -"1275","PvH_KB_NKI_IVIMfit","myocardium RV",200,0.15,0.08,0.0024,0.151062767866115,0.0836181213359814,0.0023960480342215,0.45,0.45,0.45,0.45,0.45,0.45,0.0173407897911808,0.0492417148911839,5.08898087046965e-05,299,299,299 -"1276","PvH_KB_NKI_IVIMfit","pancreas",10,0.15,0.01,0.00129999999999999,0.136937978548182,0.00740651793198569,0.0014215214212872,0.45,0.45,0.45,0.45,0.45,0.45,0.127266105496299,0.732213635772408,0.000486503747187268,299,299,299 -"1277","PvH_KB_NKI_IVIMfit","pancreas",30,0.15,0.01,0.00129999999999999,0.121887930651615,0.0763137640180288,0.00133959929142515,0.45,0.45,0.45,0.45,0.45,0.45,0.0568364469705239,0.636807478517948,0.000126780491704173,299,299,299 -"1278","PvH_KB_NKI_IVIMfit","pancreas",50,0.15,0.01,0.00129999999999999,0.122753935187266,0.0341776204631551,0.00133777754178323,0.45,0.45,0.45,0.45,0.45,0.45,0.0342667143936854,0.25609885196659,7.54325143220183e-05,299,299,299 -"1279","PvH_KB_NKI_IVIMfit","pancreas",100,0.15,0.01,0.00129999999999999,0.122866903165779,0.0198817713875208,0.00133844951393785,0.45,0.45,0.45,0.45,0.45,0.45,0.0171420721199015,0.115209943762463,3.76500896537364e-05,299,299,299 -"1280","PvH_KB_NKI_IVIMfit","pancreas",200,0.15,0.01,0.00129999999999999,0.122698908969178,0.0153586053551514,0.00133941675752602,0.45,0.45,0.45,0.45,0.45,0.45,0.00858477069866618,0.0566470440677396,1.8833704996794e-05,299,299,299 -"1281","PvH_KB_NKI_IVIMfit","pericardium",10,0.07,0.00999999999999999,0.003,0.200345432832572,0.0186626001573525,0.00287291963623568,0.45,0.45,0.45,0.45,0.45,0.45,0.191226965934387,0.511499382712566,0.000944685697624608,299,299,299 -"1282","PvH_KB_NKI_IVIMfit","pericardium",30,0.07,0.00999999999999999,0.003,0.0875410442211974,0.0439264206482478,0.00319637616853394,0.45,0.45,0.45,0.45,0.45,0.45,0.0985206186954527,0.520788624543118,0.000739212332980352,299,299,299 -"1283","PvH_KB_NKI_IVIMfit","pericardium",50,0.07,0.00999999999999999,0.003,0.0713588507505067,0.0343763501514692,0.0030838364312501,0.45,0.45,0.45,0.45,0.45,0.45,0.0723755425130893,0.468187571504604,0.000430508407815945,299,299,299 -"1284","PvH_KB_NKI_IVIMfit","pericardium",100,0.07,0.00999999999999999,0.003,0.0593432428582622,0.0319897344925359,0.00302450453014257,0.45,0.45,0.45,0.45,0.45,0.45,0.0457502568825803,0.346527742871074,0.000170492747418252,299,299,299 -"1285","PvH_KB_NKI_IVIMfit","pericardium",200,0.07,0.00999999999999999,0.003,0.0541407860947715,0.0270422083825517,0.00301893623987703,0.45,0.45,0.45,0.45,0.45,0.45,0.0277552901447244,0.292432776404661,8.24583932743335e-05,299,299,299 -"1286","PvH_KB_NKI_IVIMfit","right kidney medulla",10,0.158,0.019,0.00209,0.172769410759528,-0.0129025903180061,0.00231850649703214,0.45,0.45,0.45,0.45,0.45,0.45,0.167588199078237,0.881872268074511,0.000848804581955418,299,299,299 -"1287","PvH_KB_NKI_IVIMfit","right kidney medulla",30,0.158,0.019,0.00209,0.149260396785261,0.0838122057649798,0.00212653844272449,0.45,0.45,0.45,0.45,0.45,0.45,0.0846050158116964,0.756780752576388,0.000292908118231183,299,299,299 -"1288","PvH_KB_NKI_IVIMfit","right kidney medulla",50,0.158,0.019,0.00209,0.150537693871634,0.0320429234340867,0.00210117866439973,0.45,0.45,0.45,0.45,0.45,0.45,0.0558407026206822,0.238929110798656,0.00015795927517406,299,299,299 -"1289","PvH_KB_NKI_IVIMfit","right kidney medulla",100,0.158,0.019,0.00209,0.152330432578386,0.0263377429259093,0.00209634314665668,0.45,0.45,0.45,0.45,0.45,0.45,0.0275597380910475,0.0953262700118966,7.72066050910961e-05,299,299,299 -"1290","PvH_KB_NKI_IVIMfit","right kidney medulla",200,0.158,0.019,0.00209,0.152214803867475,0.0226013390728155,0.00209731568778259,0.45,0.45,0.45,0.45,0.45,0.45,0.0137429741491781,0.0460334488348233,3.84859139679403e-05,299,299,299 -"1291","PvH_KB_NKI_IVIMfit","Right kydney cortex",10,0.097,0.02,0.00212,0.137208356725514,0.0328556971324846,0.00234326664289797,0.45,0.45,0.45,0.45,0.45,0.45,0.15082347496435,0.709808610584414,0.000864240976087832,299,299,299 -"1292","PvH_KB_NKI_IVIMfit","Right kydney cortex",30,0.097,0.02,0.00212,0.0992412318439564,0.0541673413725415,0.00214700894107657,0.45,0.45,0.45,0.45,0.45,0.45,0.0755136199052382,0.714891073500594,0.000274973775845307,299,299,299 -"1293","PvH_KB_NKI_IVIMfit","Right kydney cortex",50,0.097,0.02,0.00212,0.0949976583740269,0.0352799627988735,0.00212503830893963,0.45,0.45,0.45,0.45,0.45,0.45,0.05273380889146,0.514843545827012,0.000151034004693661,299,299,299 -"1294","PvH_KB_NKI_IVIMfit","Right kydney cortex",100,0.097,0.02,0.00212,0.0945738449819955,0.0377584763249772,0.00212098430091707,0.45,0.45,0.45,0.45,0.45,0.45,0.0282686751362,0.195276335283525,7.39915972157195e-05,299,299,299 -"1295","PvH_KB_NKI_IVIMfit","Right kydney cortex",200,0.097,0.02,0.00212,0.09440985913665,0.0257008245150506,0.00212206065941023,0.45,0.45,0.45,0.45,0.45,0.45,0.0141025883395057,0.0756451362928356,3.68974365660527e-05,299,299,299 -"1296","PvH_KB_NKI_IVIMfit","small intestine",10,0.69,0.029,0.00131,0.680218362444095,0.0500663182494933,0.00145020569396961,0.45,0.45,0.45,0.45,0.45,0.45,0.18320141147568,0.238940197069378,0.00107227605518526,299,299,299 -"1297","PvH_KB_NKI_IVIMfit","small intestine",30,0.69,0.029,0.00131,0.676680511546324,0.03411776348862,0.00139504564681615,0.45,0.45,0.45,0.45,0.45,0.45,0.065965120993601,0.0695342477735909,0.000430833853766582,299,299,299 -"1298","PvH_KB_NKI_IVIMfit","small intestine",50,0.69,0.029,0.00131,0.683651184865244,0.0318790831019141,0.00134158593671561,0.45,0.45,0.45,0.45,0.45,0.45,0.031483838344407,0.0409943521607107,0.000218127540832125,299,299,299 -"1299","PvH_KB_NKI_IVIMfit","small intestine",100,0.69,0.029,0.00131,0.685021723698742,0.0304649311635959,0.00132963191638665,0.45,0.45,0.45,0.45,0.45,0.45,0.0151528426021628,0.0204282695180872,0.00010491631501074,299,299,299 -"1300","PvH_KB_NKI_IVIMfit","small intestine",200,0.69,0.029,0.00131,0.685125407692503,0.0298136345250442,0.00132919801634713,0.45,0.45,0.45,0.45,0.45,0.45,0.00755023567893948,0.0102124659620521,5.21741063712151e-05,299,299,299 -"1301","PvH_KB_NKI_IVIMfit","spleen",10,0.2,0.03,0.00129999999999999,0.19599662156176,0.0613021299109845,0.00140454927731428,0.45,0.45,0.45,0.45,0.45,0.45,0.142733288723022,0.865447287904048,0.000582749143091828,299,299,299 -"1302","PvH_KB_NKI_IVIMfit","spleen",30,0.2,0.03,0.00129999999999999,0.197871845000451,0.0577937712781124,0.00130150037459746,0.45,0.45,0.45,0.45,0.45,0.45,0.055408133031037,0.277217446552304,0.00013547179107877,299,299,299 -"1303","PvH_KB_NKI_IVIMfit","spleen",50,0.2,0.03,0.00129999999999999,0.199033284978018,0.0416870355859719,0.00129916879604953,0.45,0.45,0.45,0.45,0.45,0.45,0.0330237742731732,0.145965289641754,8.0485438606961e-05,299,299,299 -"1304","PvH_KB_NKI_IVIMfit","spleen",100,0.2,0.03,0.00129999999999999,0.19917657455647,0.0350155098095822,0.00129971733953303,0.45,0.45,0.45,0.45,0.45,0.45,0.0165151433454204,0.0707993903611688,4.01541066264376e-05,299,299,299 -"1305","PvH_KB_NKI_IVIMfit","spleen",200,0.2,0.03,0.00129999999999999,0.199026311814169,0.0324096874623236,0.00130069837749038,0.45,0.45,0.45,0.45,0.45,0.45,0.00827092761229601,0.0352168114201335,2.00852625417637e-05,299,299,299 -"1306","PvH_KB_NKI_IVIMfit","st wall",10,0.3,0.012,0.0015,0.248638297229233,0.036411695424523,0.00172921114226417,0.45,0.45,0.45,0.45,0.45,0.45,0.166347389770017,0.707332243192263,0.000685672723936133,299,299,299 -"1307","PvH_KB_NKI_IVIMfit","st wall",30,0.3,0.012,0.0015,0.258772026363496,0.0293822581865603,0.00157517600100472,0.45,0.45,0.45,0.45,0.45,0.45,0.0644388435309329,0.202407559113073,0.000186844089466446,299,299,299 -"1308","PvH_KB_NKI_IVIMfit","st wall",50,0.3,0.012,0.0015,0.261282486348394,0.0209857397911496,0.00156758941794651,0.45,0.45,0.45,0.45,0.45,0.45,0.0377177202881088,0.108793385587951,0.000109279996332855,299,299,299 -"1309","PvH_KB_NKI_IVIMfit","st wall",100,0.3,0.012,0.0015,0.261756786309685,0.0167953481082953,0.00156685824436581,0.45,0.45,0.45,0.45,0.45,0.45,0.0187674242305055,0.0531745626261237,5.42621275679737e-05,299,299,299 -"1310","PvH_KB_NKI_IVIMfit","st wall",200,0.3,0.012,0.0015,0.261595673443184,0.0150031541093374,0.00156794185426091,0.45,0.45,0.45,0.45,0.45,0.45,0.00939312930329243,0.0264999219499804,2.71220994549821e-05,299,299,299 -"1311","PvH_KB_NKI_IVIMfit","trans lower intestine",10,0.69,0.029,0.00130999999999999,0.680218362444095,0.0500663182494929,0.00145020569396961,0.45,0.45,0.45,0.45,0.45,0.45,0.183201411475679,0.238940197069379,0.00107227605518525,299,299,299 -"1312","PvH_KB_NKI_IVIMfit","trans lower intestine",30,0.69,0.029,0.00130999999999999,0.676680511546324,0.03411776348862,0.00139504564681615,0.45,0.45,0.45,0.45,0.45,0.45,0.0659651209936008,0.0695342477735909,0.000430833853766582,299,299,299 -"1313","PvH_KB_NKI_IVIMfit","trans lower intestine",50,0.69,0.029,0.00130999999999999,0.683651184865244,0.0318790831019141,0.00134158593671561,0.45,0.45,0.45,0.45,0.45,0.45,0.031483838344407,0.0409943521607107,0.000218127540832124,299,299,299 -"1314","PvH_KB_NKI_IVIMfit","trans lower intestine",100,0.69,0.029,0.00130999999999999,0.685021723698742,0.030464931163596,0.00132963191638665,0.45,0.45,0.45,0.45,0.45,0.45,0.0151528426021628,0.0204282695180872,0.00010491631501074,299,299,299 -"1315","PvH_KB_NKI_IVIMfit","trans lower intestine",200,0.69,0.029,0.00130999999999999,0.685125407692503,0.0298136345250442,0.00132919801634713,0.45,0.45,0.45,0.45,0.45,0.45,0.00755023567893948,0.0102124659620522,5.2174106371215e-05,299,299,299 -"1316","PvH_KB_NKI_IVIMfit","Vein",10,1,0.1,0.00299999999999999,0.925854765740672,0.122594446175348,0.000574991619531873,0.45,0.45,0.45,0.45,0.45,0.45,0.0581968702826341,0.16338266599376,0.000860131480490684,299,299,299 -"1317","PvH_KB_NKI_IVIMfit","Vein",30,1,0.1,0.00299999999999999,0.975434046263813,0.106084352342321,0.000574989635117283,0.45,0.45,0.45,0.45,0.45,0.45,0.0193986641365219,0.0502272821523288,0.000860129451432506,299,299,299 -"1318","PvH_KB_NKI_IVIMfit","Vein",50,1,0.1,0.00299999999999999,0.985264177302766,0.1035116627474,0.000574987648133532,0.45,0.45,0.45,0.45,0.45,0.45,0.0116639576048978,0.0297635282059204,0.000860127422073134,299,299,299 -"1319","PvH_KB_NKI_IVIMfit","Vein",100,1,0.1,0.00299999999999999,0.992631985415158,0.101706371823852,0.000574982669398246,0.45,0.45,0.45,0.45,0.45,0.45,0.00584397242277973,0.0147530238753376,0.000860122347364691,299,299,299 -"1320","PvH_KB_NKI_IVIMfit","Vein",200,1,0.1,0.00299999999999999,0.996315722324709,0.10084120596656,0.000574972663309995,0.45,0.45,0.45,0.45,0.45,0.45,0.00292541862788362,0.00734598250269145,0.000860112192396902,299,299,299 +"21","ETP_SRI_LinearFitting","Bone Marrow",10,0.145,0.05,0.00042999999999999,0.116117867637651,0.0182268496341909,0.000444035446761586,0.45,0.45,0.45,0.45,0.45,0.45,0.369722858267235,0.163373195791537,0.000405202413614121,299,299,299 +"22","ETP_SRI_LinearFitting","Bone Marrow",30,0.145,0.05,0.00042999999999999,0.148111745922174,0.0396949236880729,0.000415347650023237,0.45,0.45,0.45,0.45,0.45,0.45,0.112150400326473,0.179197889443821,0.000157567137614118,299,299,299 +"23","ETP_SRI_LinearFitting","Bone Marrow",50,0.145,0.05,0.00042999999999999,0.14827162774738,0.0489624061631287,0.000421034037452352,0.45,0.45,0.45,0.45,0.45,0.45,0.0670110238740367,0.204689244466435,9.45541378586913e-05,299,299,299 +"24","ETP_SRI_LinearFitting","Bone Marrow",100,0.145,0.05,0.00042999999999999,0.147162034677131,0.0306270961524121,0.000425452126528831,0.45,0.45,0.45,0.45,0.45,0.45,0.0334903058576423,0.0447520301986042,4.73187598151521e-05,299,299,299 +"25","ETP_SRI_LinearFitting","Bone Marrow",200,0.145,0.05,0.00042999999999999,0.146213033320508,0.026104062400746,0.000427709864405095,0.45,0.45,0.45,0.45,0.45,0.45,0.0167554524115372,0.0297534699527719,2.36756305655763e-05,299,299,299 +"26","ETP_SRI_LinearFitting","desc lower intestine",10,0.69,0.029,0.00130999999999999,-1.78046847362474,0.0165222897448009,0.0016441792429181,0.45,0.45,0.45,0.45,0.45,0.45,15.8239651221778,0.0700506422948943,0.00211653751766345,299,299,299 +"27","ETP_SRI_LinearFitting","desc lower intestine",30,0.69,0.029,0.00130999999999999,0.475373627248901,0.022456787601217,0.00136414593549871,0.45,0.45,0.45,0.45,0.45,0.45,1.76780563288552,0.0425455021045262,0.00106933510259241,299,299,299 +"28","ETP_SRI_LinearFitting","desc lower intestine",50,0.69,0.029,0.00130999999999999,0.670719339656506,0.0216164735545651,0.00128259234710564,0.45,0.45,0.45,0.45,0.45,0.45,0.164103675182257,0.031628897309478,0.000565757923733332,299,299,299 +"29","ETP_SRI_LinearFitting","desc lower intestine",100,0.69,0.029,0.00130999999999999,0.689682968828103,0.018072945218478,0.00128589506813888,0.45,0.45,0.45,0.45,0.45,0.45,0.0657882130636677,0.012931847502416,0.000272558015550553,299,299,299 +"30","ETP_SRI_LinearFitting","desc lower intestine",200,0.69,0.029,0.00130999999999999,0.6916765650872,0.0183295045447002,0.001295710009054,0.45,0.45,0.45,0.45,0.45,0.45,0.0318472093243258,0.0099451753900356,0.000135584729312215,299,299,299 +"31","ETP_SRI_LinearFitting","esophagus",10,0.32,0.03,0.00167,-16.8351405050354,0.00685265717668452,0.00187372141326849,0.45,0.45,0.45,0.45,0.45,0.45,276.052061050262,0.0267884503195051,0.00186996047282086,299,299,299 +"32","ETP_SRI_LinearFitting","esophagus",30,0.32,0.03,0.00167,0.266714751515287,0.0303808196938572,0.00164931975608782,0.45,0.45,0.45,0.45,0.45,0.45,0.406333159703618,0.119784575060654,0.000600457220228775,299,299,299 +"33","ETP_SRI_LinearFitting","esophagus",50,0.32,0.03,0.00167,0.313716356954611,0.0273642978256436,0.00164359893758489,0.45,0.45,0.45,0.45,0.45,0.45,0.182929019148033,0.0795334134326732,0.00034381408026237,299,299,299 +"34","ETP_SRI_LinearFitting","esophagus",100,0.32,0.03,0.00167,0.323715049568329,0.0260106093774844,0.0016523197077377,0.45,0.45,0.45,0.45,0.45,0.45,0.085484308493687,0.0413692194238238,0.000169854145357372,299,299,299 +"35","ETP_SRI_LinearFitting","esophagus",200,0.32,0.03,0.00167,0.323458156778321,0.0213128802430461,0.00166007725647971,0.45,0.45,0.45,0.45,0.45,0.45,0.042295623640524,0.016836795730898,8.4840305904279e-05,299,299,299 +"36","ETP_SRI_LinearFitting","esophagus cont",10,0.32,0.03,0.00167,-16.8351405050354,0.00685265717668452,0.00187372141326849,0.45,0.45,0.45,0.45,0.45,0.45,276.052061050262,0.0267884503195051,0.00186996047282086,299,299,299 +"37","ETP_SRI_LinearFitting","esophagus cont",30,0.32,0.03,0.00167,0.266714751515287,0.0303808196938572,0.00164931975608782,0.45,0.45,0.45,0.45,0.45,0.45,0.406333159703618,0.119784575060654,0.000600457220228775,299,299,299 +"38","ETP_SRI_LinearFitting","esophagus cont",50,0.32,0.03,0.00167,0.313716356954611,0.0273642978256436,0.00164359893758489,0.45,0.45,0.45,0.45,0.45,0.45,0.182929019148033,0.0795334134326732,0.00034381408026237,299,299,299 +"39","ETP_SRI_LinearFitting","esophagus cont",100,0.32,0.03,0.00167,0.323715049568329,0.0260106093774844,0.0016523197077377,0.45,0.45,0.45,0.45,0.45,0.45,0.085484308493687,0.0413692194238238,0.000169854145357372,299,299,299 +"40","ETP_SRI_LinearFitting","esophagus cont",200,0.32,0.03,0.00167,0.323458156778321,0.0213128802430461,0.00166007725647971,0.45,0.45,0.45,0.45,0.45,0.45,0.042295623640524,0.016836795730898,8.4840305904279e-05,299,299,299 +"41","ETP_SRI_LinearFitting","gall bladder",10,0,0.1,0.00299999999999999,-1.85992151767666,0.00377969396709443,0.00235060056537607,0.45,0.45,0.45,0.45,0.45,0.45,10.0245632946349,0.00287399348026661,0.00216471567245883,299,299,299 +"42","ETP_SRI_LinearFitting","gall bladder",30,0,0.1,0.00299999999999999,-1.49314937055134,0.00460978938921426,0.00315546633965737,0.45,0.45,0.45,0.45,0.45,0.45,7.1719874421373,0.00216864365546643,0.00153714953608308,299,299,299 +"43","ETP_SRI_LinearFitting","gall bladder",50,0,0.1,0.00299999999999999,-0.744141370159617,0.00458124498342508,0.00305876050314159,0.45,0.45,0.45,0.45,0.45,0.45,7.24423055616038,0.00191197573066958,0.00101871314160825,299,299,299 +"44","ETP_SRI_LinearFitting","gall bladder",100,0,0.1,0.00299999999999999,-0.0213175118967911,0.00501763264466335,0.00297652961922107,0.45,0.45,0.45,0.45,0.45,0.45,0.322551988879557,0.00458536215555954,0.000408490891370567,299,299,299 +"45","ETP_SRI_LinearFitting","gall bladder",200,0,0.1,0.00299999999999999,0.00583110671555169,0.00484229020350629,0.00297899694622867,0.45,0.45,0.45,0.45,0.45,0.45,0.138499524694262,0.00284372301601537,0.000198633654213719,299,299,299 +"46","ETP_SRI_LinearFitting","Left kidney cortex",10,0.097,0.02,0.00212,-14.3955595873973,0.00391705267140109,0.00228537543024786,0.45,0.45,0.45,0.45,0.45,0.45,192.598089159977,0.00284489934212906,0.0020791994015325,299,299,299 +"47","ETP_SRI_LinearFitting","Left kidney cortex",30,0.097,0.02,0.00212,-0.0428754799840204,0.00671743673875138,0.0021177062108811,0.45,0.45,0.45,0.45,0.45,0.45,0.980652959116608,0.02764652541098,0.000717331168492116,299,299,299 +"48","ETP_SRI_LinearFitting","Left kidney cortex",50,0.097,0.02,0.00212,0.0810014404866088,0.0208609783877286,0.002094456809827,0.45,0.45,0.45,0.45,0.45,0.45,0.280902600026116,0.162555556129203,0.000392930293069512,299,299,299 +"49","ETP_SRI_LinearFitting","Left kidney cortex",100,0.097,0.02,0.00212,0.101777729251112,0.0319661776619169,0.00210017649895717,0.45,0.45,0.45,0.45,0.45,0.45,0.125657669024395,0.19129049639463,0.000192523164576264,299,299,299 +"50","ETP_SRI_LinearFitting","Left kidney cortex",200,0.097,0.02,0.00212,0.10224030226737,0.0255774322867593,0.00210841272923396,0.45,0.45,0.45,0.45,0.45,0.45,0.0617374115601895,0.0657171942836725,9.60266343305832e-05,299,299,299 +"51","ETP_SRI_LinearFitting","left kidney medulla",10,0.158,0.019,0.00209,-3.11895454601443,0.00382272586211331,0.00222555907500432,0.45,0.45,0.45,0.45,0.45,0.45,17.302089867667,0.00262100544691147,0.00201304721946398,299,299,299 +"52","ETP_SRI_LinearFitting","left kidney medulla",30,0.158,0.019,0.00209,-0.0132327759769504,0.0190118327804773,0.00209352407031152,0.45,0.45,0.45,0.45,0.45,0.45,1.29784271003527,0.133264707763682,0.000765120322817147,299,299,299 +"53","ETP_SRI_LinearFitting","left kidney medulla",50,0.158,0.019,0.00209,0.139949230099125,0.0435122782064182,0.00206463411889175,0.45,0.45,0.45,0.45,0.45,0.45,0.277961931640109,0.272277018535852,0.000411061545542364,299,299,299 +"54","ETP_SRI_LinearFitting","left kidney medulla",100,0.158,0.019,0.00209,0.162111331451922,0.0284192061666898,0.00206967525982813,0.45,0.45,0.45,0.45,0.45,0.45,0.12275266286204,0.141684150651081,0.000200942901817927,299,299,299 +"55","ETP_SRI_LinearFitting","left kidney medulla",200,0.158,0.019,0.00209,0.162940320456035,0.0186331366956058,0.00207804214183691,0.45,0.45,0.45,0.45,0.45,0.45,0.0601910458682016,0.0195734768168526,0.000100188914072193,299,299,299 +"56","ETP_SRI_LinearFitting","Liver",10,0.11,0.1,0.0015,-3.67105854933764,0.0103322924138449,0.00161495986282209,0.45,0.45,0.45,0.45,0.45,0.45,50.5725151160169,0.100845172822066,0.00140857424525187,299,299,299 +"57","ETP_SRI_LinearFitting","Liver",30,0.11,0.1,0.0015,0.0969318407879205,0.0145642929149208,0.00147246699637093,0.45,0.45,0.45,0.45,0.45,0.45,0.269776485804268,0.0971893509566391,0.000377588902171262,299,299,299 +"58","ETP_SRI_LinearFitting","Liver",50,0.11,0.1,0.0015,0.112644420990274,0.0988492551721873,0.0014787002760584,0.45,0.45,0.45,0.45,0.45,0.45,0.150827871968332,0.380693459960368,0.000223664227770201,299,299,299 +"59","ETP_SRI_LinearFitting","Liver",100,0.11,0.1,0.0015,0.114915102854363,0.0889095920483081,0.00148764168516119,0.45,0.45,0.45,0.45,0.45,0.45,0.0738473058377525,0.328370788509957,0.000111502995637712,299,299,299 +"60","ETP_SRI_LinearFitting","Liver",200,0.11,0.1,0.0015,0.113341186733021,0.0725340532416588,0.00149339727236951,0.45,0.45,0.45,0.45,0.45,0.45,0.0368404978098108,0.138234643262059,5.57744401860227e-05,299,299,299 +"61","ETP_SRI_LinearFitting","muscle",10,0.1,0.0263,0.00137,-0.860857015764661,0.00995972461953884,0.00145816674264407,0.45,0.45,0.45,0.45,0.45,0.45,6.2352000203368,0.0983583628771448,0.00122305097875753,299,299,299 +"62","ETP_SRI_LinearFitting","muscle",30,0.1,0.0263,0.00137,0.0931425648530265,0.0120395000751911,0.00134332152944096,0.45,0.45,0.45,0.45,0.45,0.45,0.235987335525464,0.0650752312476383,0.000331296225795411,299,299,299 +"63","ETP_SRI_LinearFitting","muscle",50,0.1,0.0263,0.00137,0.103718921545366,0.0563602878545555,0.0013506374669928,0.45,0.45,0.45,0.45,0.45,0.45,0.134972910833964,0.261096293366599,0.000197098666697764,299,299,299 +"64","ETP_SRI_LinearFitting","muscle",100,0.1,0.0263,0.00137,0.104625893455271,0.0373633707190608,0.00135910263969407,0.45,0.45,0.45,0.45,0.45,0.45,0.0665395657853464,0.16774785723074,9.8391187446365e-05,299,299,299 +"65","ETP_SRI_LinearFitting","muscle",200,0.1,0.0263,0.00137,0.102998232114503,0.0281132052274422,0.00136424889681965,0.45,0.45,0.45,0.45,0.45,0.45,0.0332336780630866,0.0533194789980877,4.92246524214975e-05,299,299,299 +"66","ETP_SRI_LinearFitting","Myocardium LV",10,0.15,0.08,0.00239999999999999,-5.4100782940558,0.00941842252494743,0.0023822293893847,0.45,0.45,0.45,0.45,0.45,0.45,43.9350216703461,0.0978522441529858,0.00222629966744103,299,299,299 +"67","ETP_SRI_LinearFitting","Myocardium LV",30,0.15,0.08,0.00239999999999999,-0.593493538453779,0.0307395600063646,0.00247697353799738,0.45,0.45,0.45,0.45,0.45,0.45,4.68407782665974,0.268537532439528,0.0011501035746123,299,299,299 +"68","ETP_SRI_LinearFitting","Myocardium LV",50,0.15,0.08,0.00239999999999999,0.0920184554793499,0.0313742160547741,0.00238414363888919,0.45,0.45,0.45,0.45,0.45,0.45,0.464498483486437,0.152892132747705,0.000563768089555282,299,299,299 +"69","ETP_SRI_LinearFitting","Myocardium LV",100,0.15,0.08,0.00239999999999999,0.150567854592103,0.0514970030699618,0.00237618575855411,0.45,0.45,0.45,0.45,0.45,0.45,0.165469382787638,0.127123615513311,0.0002665350105812,299,299,299 +"70","ETP_SRI_LinearFitting","Myocardium LV",200,0.15,0.08,0.00239999999999999,0.155639734570644,0.0933876875035447,0.00238458919991069,0.45,0.45,0.45,0.45,0.45,0.45,0.0791306589370929,0.288726461627659,0.000132239370578106,299,299,299 +"71","ETP_SRI_LinearFitting","myocardium ra",10,0.07,0.07,0.00149999999999999,-1.65951665423362,0.0177238771115817,0.00160957265059348,0.45,0.45,0.45,0.45,0.45,0.45,13.1554017697514,0.183131672721441,0.00136088593186554,299,299,299 +"72","ETP_SRI_LinearFitting","myocardium ra",30,0.07,0.07,0.00149999999999999,0.0589564569081101,0.0296093937203634,0.00147279822346654,0.45,0.45,0.45,0.45,0.45,0.45,0.266937871380083,0.242638673913422,0.000360646166742376,299,299,299 +"73","ETP_SRI_LinearFitting","myocardium ra",50,0.07,0.07,0.00149999999999999,0.0732759014900856,0.0328371698735262,0.00147933187029512,0.45,0.45,0.45,0.45,0.45,0.45,0.1504150174967,0.216423076996619,0.000213945675661325,299,299,299 +"74","ETP_SRI_LinearFitting","myocardium ra",100,0.07,0.07,0.00149999999999999,0.0750672615582047,0.0677774461043488,0.00148810347075861,0.45,0.45,0.45,0.45,0.45,0.45,0.0738177865239,0.269492649198697,0.000106705818256414,299,299,299 +"75","ETP_SRI_LinearFitting","myocardium ra",200,0.07,0.07,0.00149999999999999,0.0733792311780604,0.0623676153801184,0.00149366381082312,0.45,0.45,0.45,0.45,0.45,0.45,0.0368411946796926,0.237445081999168,5.33779360572001e-05,299,299,299 +"76","ETP_SRI_LinearFitting","myocardium RV",10,0.15,0.08,0.0024,-5.4100782940561,0.0094184225249475,0.0023822293893847,0.45,0.45,0.45,0.45,0.45,0.45,43.9350216703497,0.0978522441529872,0.00222629966744103,299,299,299 +"77","ETP_SRI_LinearFitting","myocardium RV",30,0.15,0.08,0.0024,-0.593493538453782,0.0307395600063619,0.00247697353799738,0.45,0.45,0.45,0.45,0.45,0.45,4.68407782665976,0.268537532439499,0.0011501035746123,299,299,299 +"78","ETP_SRI_LinearFitting","myocardium RV",50,0.15,0.08,0.0024,0.0920184554793497,0.0313742160547733,0.00238414363888919,0.45,0.45,0.45,0.45,0.45,0.45,0.464498483486438,0.152892132747701,0.000563768089555283,299,299,299 +"79","ETP_SRI_LinearFitting","myocardium RV",100,0.15,0.08,0.0024,0.150567854592103,0.0514970030699646,0.00237618575855411,0.45,0.45,0.45,0.45,0.45,0.45,0.165469382787638,0.127123615513322,0.0002665350105812,299,299,299 +"80","ETP_SRI_LinearFitting","myocardium RV",200,0.15,0.08,0.0024,0.155639734570644,0.0933876875035398,0.0023845891999107,0.45,0.45,0.45,0.45,0.45,0.45,0.0791306589370929,0.288726461627615,0.000132239370578106,299,299,299 +"81","ETP_SRI_LinearFitting","pancreas",10,0.15,0.00999999999999999,0.00129999999999999,-0.650527215028878,0.00373368564161748,0.00138866565214997,0.45,0.45,0.45,0.45,0.45,0.45,4.93667394171624,0.00722474221217601,0.00119248691671331,299,299,299 +"82","ETP_SRI_LinearFitting","pancreas",30,0.15,0.00999999999999999,0.00129999999999999,0.141181390443557,0.0571022180430843,0.00127631910355573,0.45,0.45,0.45,0.45,0.45,0.45,0.223328699407368,0.30235917617171,0.000329779178430446,299,299,299 +"83","ETP_SRI_LinearFitting","pancreas",50,0.15,0.00999999999999999,0.00129999999999999,0.1510036083282,0.0152944083015561,0.00128385681159516,0.45,0.45,0.45,0.45,0.45,0.45,0.127982122939212,0.126325868230149,0.000196269231755713,299,299,299 +"84","ETP_SRI_LinearFitting","pancreas",100,0.15,0.00999999999999999,0.00129999999999999,0.151847983395745,0.0131626451974964,0.00129232113375324,0.45,0.45,0.45,0.45,0.45,0.45,0.0631293755739931,0.0377927362687652,9.79894642257458e-05,299,299,299 +"85","ETP_SRI_LinearFitting","pancreas",200,0.15,0.00999999999999999,0.00129999999999999,0.150332194355078,0.0109445926132955,0.00129741584499017,0.45,0.45,0.45,0.45,0.45,0.45,0.0315327839698718,0.00587272237819953,4.90247818549865e-05,299,299,299 +"86","ETP_SRI_LinearFitting","pericardium",10,0.07,0.01,0.003,-1.71069455396436,0.00413806480279475,0.00222002363044559,0.45,0.45,0.45,0.45,0.45,0.45,11.3461458015309,0.00796330900457344,0.00214350424805972,299,299,299 +"87","ETP_SRI_LinearFitting","pericardium",30,0.07,0.01,0.003,-2.91527744837183,0.00507173294709184,0.00321986504376209,0.45,0.45,0.45,0.45,0.45,0.45,18.8162955606329,0.00315892061105236,0.00176542899681745,299,299,299 +"88","ETP_SRI_LinearFitting","pericardium",50,0.07,0.01,0.003,-0.725107480466486,0.0146143161821088,0.00308436166182826,0.45,0.45,0.45,0.45,0.45,0.45,5.02892397652845,0.139670661799301,0.0011228429935268,299,299,299 +"89","ETP_SRI_LinearFitting","pericardium",100,0.07,0.01,0.003,0.0395072922651049,0.00739762781595697,0.00298132773142143,0.45,0.45,0.45,0.45,0.45,0.45,0.337660314112399,0.0265482442800792,0.000442399989892903,299,299,299 +"90","ETP_SRI_LinearFitting","pericardium",200,0.07,0.01,0.003,0.0717940918714241,0.0314985196375555,0.00298144117966044,0.45,0.45,0.45,0.45,0.45,0.45,0.139726244311711,0.210455939291134,0.000213771886702303,299,299,299 +"91","ETP_SRI_LinearFitting","right kidney medulla",10,0.158,0.019,0.00209,-3.11895454601443,0.00382272586211331,0.00222555907500432,0.45,0.45,0.45,0.45,0.45,0.45,17.302089867667,0.00262100544691147,0.00201304721946398,299,299,299 +"92","ETP_SRI_LinearFitting","right kidney medulla",30,0.158,0.019,0.00209,-0.0132327759769504,0.0190118327804773,0.00209352407031152,0.45,0.45,0.45,0.45,0.45,0.45,1.29784271003527,0.133264707763682,0.000765120322817147,299,299,299 +"93","ETP_SRI_LinearFitting","right kidney medulla",50,0.158,0.019,0.00209,0.139949230099125,0.0435122782064182,0.00206463411889175,0.45,0.45,0.45,0.45,0.45,0.45,0.277961931640109,0.272277018535852,0.000411061545542364,299,299,299 +"94","ETP_SRI_LinearFitting","right kidney medulla",100,0.158,0.019,0.00209,0.162111331451922,0.0284192061666898,0.00206967525982813,0.45,0.45,0.45,0.45,0.45,0.45,0.12275266286204,0.141684150651081,0.000200942901817927,299,299,299 +"95","ETP_SRI_LinearFitting","right kidney medulla",200,0.158,0.019,0.00209,0.162940320456035,0.0186331366956058,0.00207804214183691,0.45,0.45,0.45,0.45,0.45,0.45,0.0601910458682016,0.0195734768168526,0.000100188914072193,299,299,299 +"96","ETP_SRI_LinearFitting","Right kydney cortex",10,0.097,0.02,0.00212,-14.3955595873973,0.00391705267140109,0.00228537543024786,0.45,0.45,0.45,0.45,0.45,0.45,192.598089159977,0.00284489934212906,0.0020791994015325,299,299,299 +"97","ETP_SRI_LinearFitting","Right kydney cortex",30,0.097,0.02,0.00212,-0.0428754799840204,0.00671743673875138,0.0021177062108811,0.45,0.45,0.45,0.45,0.45,0.45,0.980652959116608,0.02764652541098,0.000717331168492116,299,299,299 +"98","ETP_SRI_LinearFitting","Right kydney cortex",50,0.097,0.02,0.00212,0.0810014404866088,0.0208609783877286,0.002094456809827,0.45,0.45,0.45,0.45,0.45,0.45,0.280902600026116,0.162555556129203,0.000392930293069512,299,299,299 +"99","ETP_SRI_LinearFitting","Right kydney cortex",100,0.097,0.02,0.00212,0.101777729251112,0.0319661776619169,0.00210017649895717,0.45,0.45,0.45,0.45,0.45,0.45,0.125657669024395,0.19129049639463,0.000192523164576264,299,299,299 +"100","ETP_SRI_LinearFitting","Right kydney cortex",200,0.097,0.02,0.00212,0.10224030226737,0.0255774322867593,0.00210841272923396,0.45,0.45,0.45,0.45,0.45,0.45,0.0617374115601895,0.0657171942836725,9.60266343305832e-05,299,299,299 +"101","ETP_SRI_LinearFitting","small intestine",10,0.69,0.029,0.00130999999999999,-1.78046847362465,0.0165222897448011,0.0016441792429181,0.45,0.45,0.45,0.45,0.45,0.45,15.8239651221768,0.0700506422948976,0.00211653751766344,299,299,299 +"102","ETP_SRI_LinearFitting","small intestine",30,0.69,0.029,0.00130999999999999,0.475373627248902,0.0224567876012169,0.00136414593549871,0.45,0.45,0.45,0.45,0.45,0.45,1.7678056328855,0.042545502104526,0.00106933510259241,299,299,299 +"103","ETP_SRI_LinearFitting","small intestine",50,0.69,0.029,0.00130999999999999,0.670719339656506,0.0216164735545652,0.00128259234710564,0.45,0.45,0.45,0.45,0.45,0.45,0.164103675182257,0.0316288973094783,0.000565757923733331,299,299,299 +"104","ETP_SRI_LinearFitting","small intestine",100,0.69,0.029,0.00130999999999999,0.689682968828103,0.018072945218478,0.00128589506813888,0.45,0.45,0.45,0.45,0.45,0.45,0.0657882130636677,0.0129318475024159,0.000272558015550553,299,299,299 +"105","ETP_SRI_LinearFitting","small intestine",200,0.69,0.029,0.00130999999999999,0.6916765650872,0.0183295045447003,0.001295710009054,0.45,0.45,0.45,0.45,0.45,0.45,0.0318472093243257,0.00994517539003592,0.000135584729312215,299,299,299 +"106","ETP_SRI_LinearFitting","spinal cord",10,0.178,0.0289,0.00040999999999999,0.148093501580028,0.0292563947202007,0.000431066198537147,0.45,0.45,0.45,0.45,0.45,0.45,0.366658075240839,0.212325866095387,0.000408067772246721,299,299,299 +"107","ETP_SRI_LinearFitting","spinal cord",30,0.178,0.0289,0.00040999999999999,0.180891830901849,0.0540058515816238,0.000395229050928713,0.45,0.45,0.45,0.45,0.45,0.45,0.110704766947413,0.315427979841332,0.000160878491740456,299,299,299 +"108","ETP_SRI_LinearFitting","spinal cord",50,0.178,0.0289,0.00040999999999999,0.181146187388676,0.0233224823499648,0.000400865180857791,0.45,0.45,0.45,0.45,0.45,0.45,0.0661307170940323,0.0531213531128126,9.67992503063237e-05,299,299,299 +"109","ETP_SRI_LinearFitting","spinal cord",100,0.178,0.0289,0.00040999999999999,0.180101566851349,0.01896302093591,0.000405369807238055,0.45,0.45,0.45,0.45,0.45,0.45,0.0330474250541417,0.0196395672481512,4.84424273778322e-05,299,299,299 +"110","ETP_SRI_LinearFitting","spinal cord",200,0.178,0.0289,0.00040999999999999,0.179183339551197,0.0187318063170974,0.000407669265641402,0.45,0.45,0.45,0.45,0.45,0.45,0.0165336499228023,0.0142591624740381,2.42381481638616e-05,299,299,299 +"111","ETP_SRI_LinearFitting","spleen",10,0.2,0.03,0.00129999999999999,-3.3740132522231,0.00553618298512768,0.00143433710820903,0.45,0.45,0.45,0.45,0.45,0.45,32.2937373001832,0.0199199575648861,0.00143622539626405,299,299,299 +"112","ETP_SRI_LinearFitting","spleen",30,0.2,0.03,0.00129999999999999,0.191616803068673,0.0524339373886503,0.00127246317690968,0.45,0.45,0.45,0.45,0.45,0.45,0.225231222917192,0.241188205504064,0.000351229948037188,299,299,299 +"113","ETP_SRI_LinearFitting","spleen",50,0.2,0.03,0.00129999999999999,0.202791755119256,0.039825290894353,0.0012798791928558,0.45,0.45,0.45,0.45,0.45,0.45,0.128062905075638,0.160615566355117,0.000208715871266267,299,299,299 +"114","ETP_SRI_LinearFitting","spleen",100,0.2,0.03,0.00129999999999999,0.204134185690545,0.0296901197338264,0.00128864343929708,0.45,0.45,0.45,0.45,0.45,0.45,0.063013883604555,0.059005431253839,0.000104155540475188,299,299,299 +"115","ETP_SRI_LinearFitting","spleen",200,0.2,0.03,0.00129999999999999,0.202743964725328,0.0217979487010552,0.0012939998603653,0.45,0.45,0.45,0.45,0.45,0.45,0.0314614070504959,0.0204643988878911,5.21071683813949e-05,299,299,299 +"116","ETP_SRI_LinearFitting","st wall",10,0.3,0.012,0.0015,-1.64610469307264,0.00469872580015414,0.0016722712729154,0.45,0.45,0.45,0.45,0.45,0.45,15.8055997491258,0.0116896306708754,0.00158171276921857,299,299,299 +"117","ETP_SRI_LinearFitting","st wall",30,0.3,0.012,0.0015,0.270890694864435,0.0145946544452254,0.00147533983907024,0.45,0.45,0.45,0.45,0.45,0.45,0.296176769896367,0.064457531124005,0.000487785371238241,299,299,299 +"118","ETP_SRI_LinearFitting","st wall",50,0.3,0.012,0.0015,0.29676404903463,0.0206118664406527,0.00147812190285612,0.45,0.45,0.45,0.45,0.45,0.45,0.154483980727086,0.138058215589315,0.000285387872646462,299,299,299 +"119","ETP_SRI_LinearFitting","st wall",100,0.3,0.012,0.0015,0.302162253072998,0.0127072898874613,0.00148765340763967,0.45,0.45,0.45,0.45,0.45,0.45,0.0742535435648723,0.00999336152068033,0.000141764252457752,299,299,299 +"120","ETP_SRI_LinearFitting","st wall",200,0.3,0.012,0.0015,0.301306786736074,0.0115839512910051,0.00149453131653136,0.45,0.45,0.45,0.45,0.45,0.45,0.0369195438104536,0.00392519589242604,7.08740730226029e-05,299,299,299 +"121","ETP_SRI_LinearFitting","Stomach Contents",10,0,0,0.003,-1.85992151767664,0.00377969396709442,0.00235060056537607,0.45,0.45,0.45,0.45,0.45,0.45,10.0245632946348,0.00287399348026659,0.00216471567245883,299,299,299 +"122","ETP_SRI_LinearFitting","Stomach Contents",30,0,0,0.003,-1.49314937055134,0.00460978938921426,0.00315546633965737,0.45,0.45,0.45,0.45,0.45,0.45,7.17198744213735,0.00216864365546639,0.00153714953608308,299,299,299 +"123","ETP_SRI_LinearFitting","Stomach Contents",50,0,0,0.003,-0.744141370159636,0.00458124498342509,0.00305876050314159,0.45,0.45,0.45,0.45,0.45,0.45,7.24423055616068,0.00191197573066964,0.00101871314160825,299,299,299 +"124","ETP_SRI_LinearFitting","Stomach Contents",100,0,0,0.003,-0.0213175118967908,0.00501763264466245,0.00297652961922107,0.45,0.45,0.45,0.45,0.45,0.45,0.322551988879557,0.00458536215555398,0.000408490891370567,299,299,299 +"125","ETP_SRI_LinearFitting","Stomach Contents",200,0,0,0.003,0.00583110671555218,0.00484229020350625,0.00297899694622867,0.45,0.45,0.45,0.45,0.45,0.45,0.138499524694262,0.00284372301601548,0.000198633654213719,299,299,299 +"126","ETP_SRI_LinearFitting","trans lower intestine",10,0.69,0.029,0.00130999999999999,-1.78046847362465,0.0165222897448011,0.0016441792429181,0.45,0.45,0.45,0.45,0.45,0.45,15.8239651221768,0.0700506422948976,0.00211653751766344,299,299,299 +"127","ETP_SRI_LinearFitting","trans lower intestine",30,0.69,0.029,0.00130999999999999,0.475373627248902,0.0224567876012169,0.00136414593549871,0.45,0.45,0.45,0.45,0.45,0.45,1.7678056328855,0.042545502104526,0.00106933510259241,299,299,299 +"128","ETP_SRI_LinearFitting","trans lower intestine",50,0.69,0.029,0.00130999999999999,0.670719339656506,0.0216164735545652,0.00128259234710564,0.45,0.45,0.45,0.45,0.45,0.45,0.164103675182257,0.0316288973094783,0.000565757923733331,299,299,299 +"129","ETP_SRI_LinearFitting","trans lower intestine",100,0.69,0.029,0.00130999999999999,0.689682968828103,0.018072945218478,0.00128589506813888,0.45,0.45,0.45,0.45,0.45,0.45,0.0657882130636677,0.0129318475024159,0.000272558015550553,299,299,299 +"130","ETP_SRI_LinearFitting","trans lower intestine",200,0.69,0.029,0.00130999999999999,0.6916765650872,0.0183295045447003,0.001295710009054,0.45,0.45,0.45,0.45,0.45,0.45,0.0318472093243257,0.00994517539003592,0.000135584729312215,299,299,299 +"131","ETP_SRI_LinearFitting","Vein",10,1,0.1,0.003,-0.219136684088274,0.0537322605747583,0.00133133896069262,0.45,0.45,0.45,0.45,0.45,0.45,7.04636261194312,0.205282331929603,0.00202899165966831,299,299,299 +"132","ETP_SRI_LinearFitting","Vein",30,1,0.1,0.003,0.593621105303909,0.0382494989565613,0.00133133896069262,0.45,0.45,0.45,0.45,0.45,0.45,2.34878753731438,0.0820324479335514,0.00202899165966831,299,299,299 +"133","ETP_SRI_LinearFitting","Vein",50,1,0.1,0.003,0.756172663182345,0.0344803011735524,0.00133133896069262,0.45,0.45,0.45,0.45,0.45,0.45,1.40927252238862,0.0748018161089435,0.00202899165966831,299,299,299 +"134","ETP_SRI_LinearFitting","Vein",100,1,0.1,0.003,0.878086331591172,0.0323340591843625,0.00133133896069262,0.45,0.45,0.45,0.45,0.45,0.45,0.704636261194313,0.0712090333536302,0.00202899165966831,299,299,299 +"135","ETP_SRI_LinearFitting","Vein",200,1,0.1,0.003,0.939043165795586,0.0276367938777587,0.00133133896069262,0.45,0.45,0.45,0.45,0.45,0.45,0.352318130597156,0.0537980905708716,0.00202899165966831,299,299,299 +"136","IAR_LU_biexp","Artery",10,1,0.1,0.00299999999999999,0.926470695284967,0.0982613762248633,0.000127034346810215,0.45,0.45,0.45,0.45,0.45,0.45,0.0215210674809254,0.00496152717204845,0.000371973810313032,299,299,299 +"137","IAR_LU_biexp","Artery",30,1,0.1,0.00299999999999999,0.977495351982512,0.0994484053254073,8.67768300711388e-05,0.45,0.45,0.45,0.45,0.45,0.45,0.00692461753206635,0.00165005168525004,0.000295520157175566,299,299,299 +"138","IAR_LU_biexp","Artery",50,1,0.1,0.00299999999999999,0.986847787845781,0.0996578523975426,7.50360360977392e-05,0.45,0.45,0.45,0.45,0.45,0.45,0.00411089364580979,0.00101750527909541,0.000278518466654476,299,299,299 +"139","IAR_LU_biexp","Artery",100,1,0.1,0.00299999999999999,0.993665235854952,0.0998164880988272,5.78826115470832e-05,0.45,0.45,0.45,0.45,0.45,0.45,0.00200378851223167,0.000529926879844168,0.000263826201637921,299,299,299 +"140","IAR_LU_biexp","Artery",200,1,0.1,0.00299999999999999,0.996952138241046,0.0999023540964743,4.82142681221824e-05,0.45,0.45,0.45,0.45,0.45,0.45,0.000991618406539713,0.000274814551382663,0.000256559604950207,299,299,299 +"141","IAR_LU_biexp","asc lower intestine",10,0.69,0.029,0.00131,0.697212667813802,0.0325023737543973,0.00113782850887353,0.45,0.45,0.45,0.45,0.45,0.45,0.0969149603782176,0.0150873112862165,0.000756515511525564,299,299,299 +"142","IAR_LU_biexp","asc lower intestine",30,0.69,0.029,0.00131,0.69004268764482,0.0293408736695956,0.0012973384897782,0.45,0.45,0.45,0.45,0.45,0.45,0.0360947594915144,0.00363625976059106,0.000283880193996514,299,299,299 +"143","IAR_LU_biexp","asc lower intestine",50,0.69,0.029,0.00131,0.690035515541243,0.0291115986631101,0.00130238539864508,0.45,0.45,0.45,0.45,0.45,0.45,0.0214722257869584,0.00211805855634755,0.000167872962552266,299,299,299 +"144","IAR_LU_biexp","asc lower intestine",100,0.69,0.029,0.00131,0.690016590582578,0.0290241717812075,0.00130617192285284,0.45,0.45,0.45,0.45,0.45,0.45,0.0106870876943316,0.00104662367033331,8.33919719431662e-05,299,299,299 +"145","IAR_LU_biexp","asc lower intestine",200,0.69,0.029,0.00131,0.690006715694352,0.0290045215205307,0.00130808718719813,0.45,0.45,0.45,0.45,0.45,0.45,0.00533599565675657,0.000521521540842884,4.16245932512474e-05,299,299,299 +"146","IAR_LU_biexp","Blood RA",10,1,0.1,0.00299999999999999,0.926470695284967,0.0982613762248633,0.000127034346810215,0.45,0.45,0.45,0.45,0.45,0.45,0.0215210674809254,0.00496152717204845,0.000371973810313032,299,299,299 +"147","IAR_LU_biexp","Blood RA",30,1,0.1,0.00299999999999999,0.977495351982512,0.0994484053254073,8.67768300711388e-05,0.45,0.45,0.45,0.45,0.45,0.45,0.00692461753206635,0.00165005168525004,0.000295520157175566,299,299,299 +"148","IAR_LU_biexp","Blood RA",50,1,0.1,0.00299999999999999,0.986847787845781,0.0996578523975426,7.50360360977392e-05,0.45,0.45,0.45,0.45,0.45,0.45,0.00411089364580979,0.00101750527909541,0.000278518466654476,299,299,299 +"149","IAR_LU_biexp","Blood RA",100,1,0.1,0.00299999999999999,0.993665235854952,0.0998164880988272,5.78826115470832e-05,0.45,0.45,0.45,0.45,0.45,0.45,0.00200378851223167,0.000529926879844168,0.000263826201637921,299,299,299 +"150","IAR_LU_biexp","Blood RA",200,1,0.1,0.00299999999999999,0.996952138241046,0.0999023540964743,4.82142681221824e-05,0.45,0.45,0.45,0.45,0.45,0.45,0.000991618406539713,0.000274814551382663,0.000256559604950207,299,299,299 +"151","IAR_LU_biexp","Blood RV",10,1,0.1,0.003,0.92647069528709,0.0982613762257002,0.000127034347081598,0.45,0.45,0.45,0.45,0.45,0.45,0.0215210674974187,0.0049615271733654,0.000371973812375611,299,299,299 +"152","IAR_LU_biexp","Blood RV",30,1,0.1,0.003,0.977495351986575,0.0994484053261729,8.6776830208335e-05,0.45,0.45,0.45,0.45,0.45,0.45,0.00692461752875168,0.00165005168400417,0.00029552015946517,299,299,299 +"153","IAR_LU_biexp","Blood RV",50,1,0.1,0.003,0.986847787847024,0.0996578523977876,7.50360360821851e-05,0.45,0.45,0.45,0.45,0.45,0.45,0.00411089364523165,0.00101750527880633,0.000278518469327793,299,299,299 +"154","IAR_LU_biexp","Blood RV",100,1,0.1,0.003,0.993665235855317,0.0998164880990098,5.78826114675235e-05,0.45,0.45,0.45,0.45,0.45,0.45,0.0020037885125151,0.000529926879857713,0.000263826199490928,299,299,299 +"155","IAR_LU_biexp","Blood RV",200,1,0.1,0.003,0.996952138241195,0.09990235409644,4.82142679154876e-05,0.45,0.45,0.45,0.45,0.45,0.45,0.000991618405480444,0.000274814551227168,0.000256559602777668,299,299,299 +"156","IAR_LU_biexp","Bone Marrow",10,0.145,0.05,0.00042999999999999,0.176740780672303,0.0540089831091912,0.000363716348688683,0.45,0.45,0.45,0.45,0.45,0.45,0.0852587487695938,0.0366595963716163,0.000166503588299024,299,299,299 +"157","IAR_LU_biexp","Bone Marrow",30,0.145,0.05,0.00042999999999999,0.149233679496813,0.0539265105647089,0.00041940038409175,0.45,0.45,0.45,0.45,0.45,0.45,0.0252535843040849,0.0245078649413232,5.25227979443979e-05,299,299,299 +"158","IAR_LU_biexp","Bone Marrow",50,0.145,0.05,0.00042999999999999,0.146286017278776,0.05238978695117,0.000426099436585099,0.45,0.45,0.45,0.45,0.45,0.45,0.014584667713233,0.0168389915356758,3.00479625708099e-05,299,299,299 +"159","IAR_LU_biexp","Bone Marrow",100,0.145,0.05,0.00042999999999999,0.145201004244698,0.0506900296376562,0.000428730645790094,0.45,0.45,0.45,0.45,0.45,0.45,0.00723200390835085,0.00811200529639074,1.48161185098679e-05,299,299,299 +"160","IAR_LU_biexp","Bone Marrow",200,0.145,0.05,0.00042999999999999,0.14500061088455,0.0501633815952204,0.000429485242120801,0.45,0.45,0.45,0.45,0.45,0.45,0.00361247196626089,0.00383770427477851,7.36884482043987e-06,299,299,299 +"161","IAR_LU_biexp","desc lower intestine",10,0.69,0.029,0.00130999999999999,0.697212667753261,0.0325023737699925,0.00113782850893536,0.45,0.45,0.45,0.45,0.45,0.45,0.0969149604948673,0.0150873113152046,0.000756515512144474,299,299,299 +"162","IAR_LU_biexp","desc lower intestine",30,0.69,0.029,0.00130999999999999,0.690042687675344,0.029340873667532,0.00129733848958154,0.45,0.45,0.45,0.45,0.45,0.45,0.0360947594288164,0.00363625975518695,0.000283880193698886,299,299,299 +"163","IAR_LU_biexp","desc lower intestine",50,0.69,0.029,0.00130999999999999,0.690035515512703,0.0291115986649377,0.00130238539883766,0.45,0.45,0.45,0.45,0.45,0.45,0.0214722257802339,0.00211805855621351,0.000167872962507838,299,299,299 +"164","IAR_LU_biexp","desc lower intestine",100,0.69,0.029,0.00130999999999999,0.690016590580974,0.0290241717814557,0.00130617192286365,0.45,0.45,0.45,0.45,0.45,0.45,0.0106870877008042,0.00104662367155585,8.33919720173329e-05,299,299,299 +"165","IAR_LU_biexp","desc lower intestine",200,0.69,0.029,0.00130999999999999,0.690006715699144,0.0290045215201361,0.0013080871871656,0.45,0.45,0.45,0.45,0.45,0.45,0.00533599565097016,0.000521521540851369,4.16245932350529e-05,299,299,299 +"166","IAR_LU_biexp","esophagus",10,0.32,0.03,0.00167,0.367683481778516,0.0387739018398963,0.00149968787236786,0.45,0.45,0.45,0.45,0.45,0.45,0.13792439279264,0.0287006753963587,0.000539607930515059,299,299,299 +"167","IAR_LU_biexp","esophagus",30,0.32,0.03,0.00167,0.324535978308174,0.0316992915604086,0.00165203935355163,0.45,0.45,0.45,0.45,0.45,0.45,0.0414146516511518,0.0102184984645872,0.000163809030656807,299,299,299 +"168","IAR_LU_biexp","esophagus",50,0.32,0.03,0.00167,0.321543302480474,0.0304981189821248,0.00166185943611624,0.45,0.45,0.45,0.45,0.45,0.45,0.0241291461101471,0.00522280148310428,9.57228599107441e-05,299,299,299 +"169","IAR_LU_biexp","esophagus",100,0.32,0.03,0.00167,0.320352103924269,0.030104494422445,0.00166689046118681,0.45,0.45,0.45,0.45,0.45,0.45,0.011843437619177,0.00247523171892804,4.71049549313541e-05,299,299,299 +"170","IAR_LU_biexp","esophagus",200,0.32,0.03,0.00167,0.320074329924909,0.0300211506482485,0.00166868318125144,0.45,0.45,0.45,0.45,0.45,0.45,0.00588728307576649,0.00122081473895999,2.34334011355982e-05,299,299,299 +"171","IAR_LU_biexp","esophagus cont",10,0.32,0.03,0.00167,0.367683481778516,0.0387739018398963,0.00149968787236786,0.45,0.45,0.45,0.45,0.45,0.45,0.13792439279264,0.0287006753963587,0.000539607930515059,299,299,299 +"172","IAR_LU_biexp","esophagus cont",30,0.32,0.03,0.00167,0.324535978308174,0.0316992915604086,0.00165203935355163,0.45,0.45,0.45,0.45,0.45,0.45,0.0414146516511518,0.0102184984645872,0.000163809030656807,299,299,299 +"173","IAR_LU_biexp","esophagus cont",50,0.32,0.03,0.00167,0.321543302480474,0.0304981189821248,0.00166185943611624,0.45,0.45,0.45,0.45,0.45,0.45,0.0241291461101471,0.00522280148310428,9.57228599107441e-05,299,299,299 +"174","IAR_LU_biexp","esophagus cont",100,0.32,0.03,0.00167,0.320352103924269,0.030104494422445,0.00166689046118681,0.45,0.45,0.45,0.45,0.45,0.45,0.011843437619177,0.00247523171892804,4.71049549313541e-05,299,299,299 +"175","IAR_LU_biexp","esophagus cont",200,0.32,0.03,0.00167,0.320074329924909,0.0300211506482485,0.00166868318125144,0.45,0.45,0.45,0.45,0.45,0.45,0.00588728307576649,0.00122081473895999,2.34334011355982e-05,299,299,299 +"176","IAR_LU_biexp","gall bladder",10,0,0.1,0.00299999999999999,0.208211800535893,0.0205168108734584,0.0023472678389317,0.45,0.45,0.45,0.45,0.45,0.45,0.267992114116154,0.0305984682673474,0.000835610066221838,299,299,299 +"177","IAR_LU_biexp","gall bladder",30,0,0.1,0.00299999999999999,0.0856841392388634,0.0157728605380351,0.00281677582076137,0.45,0.45,0.45,0.45,0.45,0.45,0.139774208382974,0.0253789862614376,0.000297644568723505,299,299,299 +"178","IAR_LU_biexp","gall bladder",50,0,0.1,0.00299999999999999,0.0570159245949867,0.0132605014012616,0.00288932901300977,0.45,0.45,0.45,0.45,0.45,0.45,0.0977047498238801,0.0218100971649904,0.000184089877104895,299,299,299 +"179","IAR_LU_biexp","gall bladder",100,0,0.1,0.00299999999999999,0.0313751644907913,0.0119308416845731,0.00294383229037391,0.45,0.45,0.45,0.45,0.45,0.45,0.0555318083762824,0.0192942961513599,9.3617652462337e-05,299,299,299 +"180","IAR_LU_biexp","gall bladder",200,0,0.1,0.00299999999999999,0.0165424018727123,0.0118983206731096,0.0029716889150812,0.45,0.45,0.45,0.45,0.45,0.45,0.0298560012279122,0.0192705009804575,4.72007466362524e-05,299,299,299 +"181","IAR_LU_biexp","Left kidney cortex",10,0.097,0.02,0.00212,0.210970906830311,0.0310310657601555,0.0018229470669625,0.45,0.45,0.45,0.45,0.45,0.45,0.203989004924902,0.0344674603310571,0.000586836581946663,299,299,299 +"182","IAR_LU_biexp","Left kidney cortex",30,0.097,0.02,0.00212,0.15768396635406,0.026659907618088,0.00200188081254989,0.45,0.45,0.45,0.45,0.45,0.45,0.114151568500584,0.02634118752992,0.000253815865698958,299,299,299 +"183","IAR_LU_biexp","Left kidney cortex",50,0.097,0.02,0.00212,0.121533306097951,0.0268595655306235,0.00207299933900311,0.45,0.45,0.45,0.45,0.45,0.45,0.0702050063177978,0.0225952613910742,0.000153941426857934,299,299,299 +"184","IAR_LU_biexp","Left kidney cortex",100,0.097,0.02,0.00212,0.100982702473657,0.021817155940103,0.00211092183513097,0.45,0.45,0.45,0.45,0.45,0.45,0.0231884312921043,0.00884130304693349,6.24363655216314e-05,299,299,299 +"185","IAR_LU_biexp","Left kidney cortex",200,0.097,0.02,0.00212,0.0979413174196692,0.020324544085,0.00211720394022434,0.45,0.45,0.45,0.45,0.45,0.45,0.0105242600178635,0.00334826593727098,2.95665782127649e-05,299,299,299 +"186","IAR_LU_biexp","left kidney medulla",10,0.158,0.019,0.00209,0.278725112606773,0.0299295278885064,0.00175491609632802,0.45,0.45,0.45,0.45,0.45,0.45,0.214439226663254,0.0320665409108846,0.000647003511378606,299,299,299 +"187","IAR_LU_biexp","left kidney medulla",30,0.158,0.019,0.00209,0.195052950980682,0.0261856057527599,0.00200837477713779,0.45,0.45,0.45,0.45,0.45,0.45,0.107212847396005,0.022730281214365,0.000274366547433729,299,299,299 +"188","IAR_LU_biexp","left kidney medulla",50,0.158,0.019,0.00209,0.168666540718204,0.0221312082872428,0.00206534831379977,0.45,0.45,0.45,0.45,0.45,0.45,0.0511197732075942,0.0130549070375701,0.000140951659190629,299,299,299 +"189","IAR_LU_biexp","left kidney medulla",100,0.158,0.019,0.00209,0.160303513865828,0.0195063936622692,0.00208325110527239,0.45,0.45,0.45,0.45,0.45,0.45,0.0220967456206984,0.00402437727812436,6.45285823366835e-05,299,299,299 +"190","IAR_LU_biexp","left kidney medulla",200,0.158,0.019,0.00209,0.158549311213423,0.0191219025592804,0.00208780922914557,0.45,0.45,0.45,0.45,0.45,0.45,0.0107171092868028,0.00195429170292147,3.17207823967746e-05,299,299,299 +"191","IAR_LU_biexp","Liver",10,0.11,0.1,0.0015,0.17150503347828,0.0585894869688638,0.00133082929506349,0.45,0.45,0.45,0.45,0.45,0.45,0.136516097304139,0.040090038616655,0.000354915450632941,299,299,299 +"192","IAR_LU_biexp","Liver",30,0.11,0.1,0.0015,0.116524922609641,0.0797461322710395,0.00147039590886351,0.45,0.45,0.45,0.45,0.45,0.45,0.0333445716851057,0.0273586641563357,9.54315771325179e-05,299,299,299 +"193","IAR_LU_biexp","Liver",50,0.11,0.1,0.0015,0.111213985993271,0.0871710843301268,0.00148797791711182,0.45,0.45,0.45,0.45,0.45,0.45,0.0154006163091042,0.0181177747169451,4.76546785250623e-05,299,299,299 +"194","IAR_LU_biexp","Liver",100,0.11,0.1,0.0015,0.110305056949762,0.0927872237401196,0.00149443585404214,0.45,0.45,0.45,0.45,0.45,0.45,0.00760367346398485,0.010636984816954,2.3490644652322e-05,299,299,299 +"195","IAR_LU_biexp","Liver",200,0.11,0.1,0.0015,0.110083101922637,0.0961088632553183,0.00149729667035132,0.45,0.45,0.45,0.45,0.45,0.45,0.00377409246386361,0.00589352197554721,1.16519052488367e-05,299,299,299 +"196","IAR_LU_biexp","muscle",10,0.1,0.0263,0.00137,0.172244871514116,0.0399312780146033,0.00121929341406824,0.45,0.45,0.45,0.45,0.45,0.45,0.146625613181723,0.0373566153011706,0.000349459208182211,299,299,299 +"197","IAR_LU_biexp","muscle",30,0.1,0.0263,0.00137,0.122794715324378,0.0344620977905092,0.00132646867799165,0.45,0.45,0.45,0.45,0.45,0.45,0.0614157999429061,0.0273659667376379,0.000134066597768731,299,299,299 +"198","IAR_LU_biexp","muscle",50,0.1,0.0263,0.00137,0.107470621841216,0.0314297624974908,0.00135479200023779,0.45,0.45,0.45,0.45,0.45,0.45,0.0300605133267775,0.0200462453710279,7.16381247343853e-05,299,299,299 +"199","IAR_LU_biexp","muscle",100,0.1,0.0263,0.00137,0.101423997190263,0.0275157021594774,0.00136617678351476,0.45,0.45,0.45,0.45,0.45,0.45,0.0126392462675113,0.00787839237857374,3.25991153072772e-05,299,299,299 +"200","IAR_LU_biexp","muscle",200,0.1,0.0263,0.00137,0.100318139909295,0.0265342832322392,0.00136868011224409,0.45,0.45,0.45,0.45,0.45,0.45,0.00607948313364601,0.00344999166780645,1.5791030965178e-05,299,299,299 +"201","IAR_LU_biexp","Myocardium LV",10,0.15,0.08,0.00239999999999999,0.270068426778573,0.051790092048778,0.00197677445786728,0.45,0.45,0.45,0.45,0.45,0.45,0.196904006761658,0.0390790068583994,0.000657249727291777,299,299,299 +"202","IAR_LU_biexp","Myocardium LV",30,0.15,0.08,0.00239999999999999,0.159128615159505,0.0752996006004762,0.00236027891730153,0.45,0.45,0.45,0.45,0.45,0.45,0.0440622346116526,0.0258268580228408,0.000173630027799564,299,299,299 +"203","IAR_LU_biexp","Myocardium LV",50,0.15,0.08,0.00239999999999999,0.15217707345029,0.0791919814852743,0.00238687553974885,0.45,0.45,0.45,0.45,0.45,0.45,0.0173891081572641,0.0184891337271565,8.64207195201112e-05,299,299,299 +"204","IAR_LU_biexp","Myocardium LV",100,0.15,0.08,0.00239999999999999,0.150508149140161,0.0806807885900124,0.0023961166163798,0.45,0.45,0.45,0.45,0.45,0.45,0.00852201581021315,0.0120767529023813,4.33018578554694e-05,299,299,299 +"205","IAR_LU_biexp","Myocardium LV",200,0.15,0.08,0.00239999999999999,0.150084202036679,0.0804859513138211,0.00239874839778911,0.45,0.45,0.45,0.45,0.45,0.45,0.00424599386167295,0.00694395430914374,2.18581528978008e-05,299,299,299 +"206","IAR_LU_biexp","myocardium ra",10,0.07,0.07,0.00149999999999999,0.144345297406282,0.0487460208936782,0.00132998441376831,0.45,0.45,0.45,0.45,0.45,0.45,0.140855148658924,0.0404598338163751,0.000341449089405005,299,299,299 +"207","IAR_LU_biexp","myocardium ra",30,0.07,0.07,0.00149999999999999,0.0884934021686075,0.0605990187457715,0.00145501083324814,0.45,0.45,0.45,0.45,0.45,0.45,0.0492325844733879,0.0351976193164226,0.000113777291751781,299,299,299 +"208","IAR_LU_biexp","myocardium ra",50,0.07,0.07,0.00149999999999999,0.0758647169745939,0.0679165006303205,0.00148333041545152,0.45,0.45,0.45,0.45,0.45,0.45,0.0230456662175959,0.0291001630302832,5.93738480629831e-05,299,299,299 +"209","IAR_LU_biexp","myocardium ra",100,0.07,0.07,0.00149999999999999,0.0708749126109932,0.0711936437909599,0.0014964237716507,0.45,0.45,0.45,0.45,0.45,0.45,0.00816500710275098,0.019272120742162,2.43863373397605e-05,299,299,299 +"210","IAR_LU_biexp","myocardium ra",200,0.07,0.07,0.00149999999999999,0.0701825949905622,0.071171776411063,0.00149896894489351,0.45,0.45,0.45,0.45,0.45,0.45,0.00403298484913164,0.0119620135574611,1.22446310964304e-05,299,299,299 +"211","IAR_LU_biexp","myocardium RV",10,0.15,0.08,0.0024,0.27006842477102,0.0517900922930558,0.00197677446229465,0.45,0.45,0.45,0.45,0.45,0.45,0.196904005562501,0.039079006705774,0.000657249718213118,299,299,299 +"212","IAR_LU_biexp","myocardium RV",30,0.15,0.08,0.0024,0.159128615485475,0.0752996005287946,0.00236027891632272,0.45,0.45,0.45,0.45,0.45,0.45,0.0440622372949345,0.0258268579970843,0.000173630033080063,299,299,299 +"213","IAR_LU_biexp","myocardium RV",50,0.15,0.08,0.0024,0.152177073454838,0.0791919814940619,0.00238687553973693,0.45,0.45,0.45,0.45,0.45,0.45,0.0173891081488939,0.0184891337189341,8.64207194851514e-05,299,299,299 +"214","IAR_LU_biexp","myocardium RV",100,0.15,0.08,0.0024,0.150508149157028,0.0806807886065444,0.00239611661636228,0.45,0.45,0.45,0.45,0.45,0.45,0.00852201581730271,0.0120767528934207,4.33018578890598e-05,299,299,299 +"215","IAR_LU_biexp","myocardium RV",200,0.15,0.08,0.0024,0.150084202036767,0.0804859513207706,0.00239874839779324,0.45,0.45,0.45,0.45,0.45,0.45,0.00424599385979743,0.00694395430774553,2.18581528844054e-05,299,299,299 +"216","IAR_LU_biexp","pancreas",10,0.15,0.00999999999999999,0.00129999999999999,0.194101495353506,0.0309592175851934,0.00120526645109546,0.45,0.45,0.45,0.45,0.45,0.45,0.163835604396124,0.0349194016192665,0.000389002223450564,299,299,299 +"217","IAR_LU_biexp","pancreas",30,0.15,0.00999999999999999,0.00129999999999999,0.18057781194269,0.0172903816106663,0.00125161129088974,0.45,0.45,0.45,0.45,0.45,0.45,0.0946201475405738,0.020761393555782,0.000184226393534972,299,299,299 +"218","IAR_LU_biexp","pancreas",50,0.15,0.00999999999999999,0.00129999999999999,0.172218377966166,0.0122015061540677,0.00126461919501872,0.45,0.45,0.45,0.45,0.45,0.45,0.068005781794544,0.0102895468393461,0.000126280292211858,299,299,299 +"219","IAR_LU_biexp","pancreas",100,0.15,0.00999999999999999,0.00129999999999999,0.156814393788563,0.0102763602998585,0.00128831419755346,0.45,0.45,0.45,0.45,0.45,0.45,0.0330925432671097,0.0028059409991962,6.19579942569892e-05,299,299,299 +"220","IAR_LU_biexp","pancreas",200,0.15,0.00999999999999999,0.00129999999999999,0.151550794252226,0.0100513328577698,0.00129688092262989,0.45,0.45,0.45,0.45,0.45,0.45,0.0150249216209788,0.00127661998406857,2.91039405066692e-05,299,299,299 +"221","IAR_LU_biexp","pericardium",10,0.07,0.01,0.003,0.285492194546807,0.0200766034249829,0.00226157465875366,0.45,0.45,0.45,0.45,0.45,0.45,0.295897838461114,0.0292772639120793,0.000970921799828614,299,299,299 +"222","IAR_LU_biexp","pericardium",30,0.07,0.01,0.003,0.17130019986005,0.0173492287732038,0.00279755620549203,0.45,0.45,0.45,0.45,0.45,0.45,0.192343190940992,0.0245267193947314,0.000428028358213746,299,299,299 +"223","IAR_LU_biexp","pericardium",50,0.07,0.01,0.003,0.150556893955563,0.0186673301755482,0.00287029558019445,0.45,0.45,0.45,0.45,0.45,0.45,0.153716459945469,0.0248235406871102,0.000300739461377045,299,299,299 +"224","IAR_LU_biexp","pericardium",100,0.07,0.01,0.003,0.137271515356581,0.0160473992275465,0.0029092754806346,0.45,0.45,0.45,0.45,0.45,0.45,0.117893565915843,0.0195152714035273,0.000196241923636939,299,299,299 +"225","IAR_LU_biexp","pericardium",200,0.07,0.01,0.003,0.102312421101382,0.0125930858081792,0.00295777591286573,0.45,0.45,0.45,0.45,0.45,0.45,0.0785041107725985,0.0109051111768086,0.000124246502251684,299,299,299 +"226","IAR_LU_biexp","right kidney medulla",10,0.158,0.019,0.00209,0.278725112606773,0.0299295278885064,0.00175491609632802,0.45,0.45,0.45,0.45,0.45,0.45,0.214439226663254,0.0320665409108846,0.000647003511378606,299,299,299 +"227","IAR_LU_biexp","right kidney medulla",30,0.158,0.019,0.00209,0.195052950980682,0.0261856057527599,0.00200837477713779,0.45,0.45,0.45,0.45,0.45,0.45,0.107212847396005,0.022730281214365,0.000274366547433729,299,299,299 +"228","IAR_LU_biexp","right kidney medulla",50,0.158,0.019,0.00209,0.168666540718204,0.0221312082872428,0.00206534831379977,0.45,0.45,0.45,0.45,0.45,0.45,0.0511197732075942,0.0130549070375701,0.000140951659190629,299,299,299 +"229","IAR_LU_biexp","right kidney medulla",100,0.158,0.019,0.00209,0.160303513865828,0.0195063936622692,0.00208325110527239,0.45,0.45,0.45,0.45,0.45,0.45,0.0220967456206984,0.00402437727812436,6.45285823366835e-05,299,299,299 +"230","IAR_LU_biexp","right kidney medulla",200,0.158,0.019,0.00209,0.158549311213423,0.0191219025592804,0.00208780922914557,0.45,0.45,0.45,0.45,0.45,0.45,0.0107171092868028,0.00195429170292147,3.17207823967746e-05,299,299,299 +"231","IAR_LU_biexp","Right kydney cortex",10,0.097,0.02,0.00212,0.210970906830311,0.0310310657601555,0.0018229470669625,0.45,0.45,0.45,0.45,0.45,0.45,0.203989004924902,0.0344674603310571,0.000586836581946663,299,299,299 +"232","IAR_LU_biexp","Right kydney cortex",30,0.097,0.02,0.00212,0.15768396635406,0.026659907618088,0.00200188081254989,0.45,0.45,0.45,0.45,0.45,0.45,0.114151568500584,0.02634118752992,0.000253815865698958,299,299,299 +"233","IAR_LU_biexp","Right kydney cortex",50,0.097,0.02,0.00212,0.121533306097951,0.0268595655306235,0.00207299933900311,0.45,0.45,0.45,0.45,0.45,0.45,0.0702050063177978,0.0225952613910742,0.000153941426857934,299,299,299 +"234","IAR_LU_biexp","Right kydney cortex",100,0.097,0.02,0.00212,0.100982702473657,0.021817155940103,0.00211092183513097,0.45,0.45,0.45,0.45,0.45,0.45,0.0231884312921043,0.00884130304693349,6.24363655216314e-05,299,299,299 +"235","IAR_LU_biexp","Right kydney cortex",200,0.097,0.02,0.00212,0.0979413174196692,0.020324544085,0.00211720394022434,0.45,0.45,0.45,0.45,0.45,0.45,0.0105242600178635,0.00334826593727098,2.95665782127649e-05,299,299,299 +"236","IAR_LU_biexp","small intestine",10,0.69,0.029,0.00130999999999999,0.697212667832671,0.0325023737488465,0.0011378285085777,0.45,0.45,0.45,0.45,0.45,0.45,0.0969149603434615,0.0150873112906889,0.000756515510976427,299,299,299 +"237","IAR_LU_biexp","small intestine",30,0.69,0.029,0.00130999999999999,0.69004268767968,0.0293408736676811,0.00129733848951203,0.45,0.45,0.45,0.45,0.45,0.45,0.036094759582028,0.0036362597625116,0.000283880194564452,299,299,299 +"238","IAR_LU_biexp","small intestine",50,0.69,0.029,0.00130999999999999,0.690035515581173,0.0291115986603144,0.00130238539838587,0.45,0.45,0.45,0.45,0.45,0.45,0.0214722257363682,0.00211805855279378,0.000167872962179423,299,299,299 +"239","IAR_LU_biexp","small intestine",100,0.69,0.029,0.00130999999999999,0.690016590591596,0.0290241717807512,0.00130617192279567,0.45,0.45,0.45,0.45,0.45,0.45,0.0106870876828612,0.00104662367020788,8.3391971897164e-05,299,299,299 +"240","IAR_LU_biexp","small intestine",200,0.69,0.029,0.00130999999999999,0.690006715690724,0.0290045215207122,0.00130808718722211,0.45,0.45,0.45,0.45,0.45,0.45,0.00533599565446033,0.000521521540899605,4.162459324041e-05,299,299,299 +"241","IAR_LU_biexp","spinal cord",10,0.178,0.0289,0.00040999999999999,0.209490467221234,0.0417650195051718,0.000349491447368614,0.45,0.45,0.45,0.45,0.45,0.45,0.0913448483805462,0.0331580138562007,0.000181744425708848,299,299,299 +"242","IAR_LU_biexp","spinal cord",30,0.178,0.0289,0.00040999999999999,0.182417878811883,0.032837427807532,0.000400103147028868,0.45,0.45,0.45,0.45,0.45,0.45,0.0296070461730868,0.0175346256618858,6.36807753509845e-05,299,299,299 +"243","IAR_LU_biexp","spinal cord",50,0.178,0.0289,0.00040999999999999,0.179316740865845,0.0301207118664647,0.000405990391438901,0.45,0.45,0.45,0.45,0.45,0.45,0.0173509917595357,0.00838928538569322,3.7045031598239e-05,299,299,299 +"244","IAR_LU_biexp","spinal cord",100,0.178,0.0289,0.00040999999999999,0.178248747072111,0.0291322538662043,0.000408533321939476,0.45,0.45,0.45,0.45,0.45,0.45,0.00852655950894981,0.00368510879095181,1.80732469113855e-05,299,299,299 +"245","IAR_LU_biexp","spinal cord",200,0.178,0.0289,0.00040999999999999,0.178022099357406,0.0289489699663143,0.000409417087789381,0.45,0.45,0.45,0.45,0.45,0.45,0.00423894874324603,0.00180274844410634,8.97522964857495e-06,299,299,299 +"246","IAR_LU_biexp","spleen",10,0.2,0.03,0.00129999999999999,0.258238391244322,0.0415855487010669,0.00115658301135865,0.45,0.45,0.45,0.45,0.45,0.45,0.138972934455782,0.0331993592198217,0.000392002783908478,299,299,299 +"247","IAR_LU_biexp","spleen",30,0.2,0.03,0.00129999999999999,0.206967214322137,0.0338919578522948,0.00128156423968748,0.45,0.45,0.45,0.45,0.45,0.45,0.0387633480906231,0.0175409201850711,0.000113885202163688,299,299,299 +"248","IAR_LU_biexp","spleen",50,0.2,0.03,0.00129999999999999,0.202249286584172,0.0312833908171929,0.00129256952436768,0.45,0.45,0.45,0.45,0.45,0.45,0.0221581511488286,0.0087973691165586,6.60123263021084e-05,299,299,299 +"249","IAR_LU_biexp","spleen",100,0.2,0.03,0.00129999999999999,0.200487080327955,0.0302504275784513,0.00129739373138807,0.45,0.45,0.45,0.45,0.45,0.45,0.0107457183819857,0.00383295564023441,3.20648907872795e-05,299,299,299 +"250","IAR_LU_biexp","spleen",200,0.2,0.03,0.00129999999999999,0.200092055843613,0.0300527362278922,0.00129897493247531,0.45,0.45,0.45,0.45,0.45,0.45,0.00531656691865684,0.00186528647521492,1.58727385034645e-05,299,299,299 +"251","IAR_LU_biexp","st wall",10,0.3,0.012,0.0015,0.361045519391598,0.0252956141674121,0.00131717449202165,0.45,0.45,0.45,0.45,0.45,0.45,0.203267111576368,0.0285647251398055,0.000612144883071592,299,299,299 +"252","IAR_LU_biexp","st wall",30,0.3,0.012,0.0015,0.323962429334175,0.0134193933950788,0.00143886841291381,0.45,0.45,0.45,0.45,0.45,0.45,0.0982083278099135,0.00798933273783442,0.000260082481159125,299,299,299 +"253","IAR_LU_biexp","st wall",50,0.3,0.012,0.0015,0.307361980789205,0.0123847443949329,0.00147968648754107,0.45,0.45,0.45,0.45,0.45,0.45,0.0543906266007326,0.00311905673611407,0.000143561177100958,299,299,299 +"254","IAR_LU_biexp","st wall",100,0.3,0.012,0.0015,0.301677558434696,0.0120878361115536,0.00149434290427104,0.45,0.45,0.45,0.45,0.45,0.45,0.0263384513796351,0.00143227607612891,6.96636664225652e-05,299,299,299 +"255","IAR_LU_biexp","st wall",200,0.3,0.012,0.0015,0.300399087840957,0.0120193042676135,0.0014981386775636,0.45,0.45,0.45,0.45,0.45,0.45,0.0130979678196662,0.000698591449402667,3.46398326918469e-05,299,299,299 +"256","IAR_LU_biexp","Stomach Contents",10,0,0,0.003,0.20843455520484,0.0236770562900282,0.00234680273880456,0.45,0.45,0.45,0.45,0.45,0.45,0.267846136855578,0.0335929634140449,0.000835440069333118,299,299,299 +"257","IAR_LU_biexp","Stomach Contents",30,0,0,0.003,0.0856841387408891,0.0154562261399298,0.00281677581961119,0.45,0.45,0.45,0.45,0.45,0.45,0.139774207808961,0.0249130279960945,0.000297644566101729,299,299,299 +"258","IAR_LU_biexp","Stomach Contents",50,0,0,0.003,0.0570158042005854,0.0126271897423799,0.00288932916093946,0.45,0.45,0.45,0.45,0.45,0.45,0.0977045324504729,0.020625515442828,0.000184089716425744,299,299,299 +"259","IAR_LU_biexp","Stomach Contents",100,0,0,0.003,0.0313751673522214,0.011930862665467,0.00294383229458122,0.45,0.45,0.45,0.45,0.45,0.45,0.0555318104341366,0.0192942990363343,9.36176499955611e-05,299,299,299 +"260","IAR_LU_biexp","Stomach Contents",200,0,0,0.003,0.0165424179999614,0.0118983209589692,0.00297168889237917,0.45,0.45,0.45,0.45,0.45,0.45,0.0298559960613322,0.0192705034133371,4.72007391885878e-05,299,299,299 +"261","IAR_LU_biexp","trans lower intestine",10,0.69,0.029,0.00130999999999999,0.697212667722101,0.0325023737662354,0.0011378285095022,0.45,0.45,0.45,0.45,0.45,0.45,0.0969149605281008,0.0150873112941006,0.00075651551328862,299,299,299 +"262","IAR_LU_biexp","trans lower intestine",30,0.69,0.029,0.00130999999999999,0.69004268765537,0.0293408736684314,0.00129733848966368,0.45,0.45,0.45,0.45,0.45,0.45,0.0360947595155316,0.00363625976077757,0.000283880194085563,299,299,299 +"263","IAR_LU_biexp","trans lower intestine",50,0.69,0.029,0.00130999999999999,0.690035515530053,0.0291115986633909,0.00130238539872579,0.45,0.45,0.45,0.45,0.45,0.45,0.0214722257310754,0.00211805855231437,0.00016787296220424,299,299,299 +"264","IAR_LU_biexp","trans lower intestine",100,0.69,0.029,0.00130999999999999,0.690016590592847,0.0290241717807258,0.00130617192278856,0.45,0.45,0.45,0.45,0.45,0.45,0.0106870876903053,0.00104662367103972,8.33919719260138e-05,299,299,299 +"265","IAR_LU_biexp","trans lower intestine",200,0.69,0.029,0.00130999999999999,0.690006715695885,0.0290045215203316,0.00130808718718679,0.45,0.45,0.45,0.45,0.45,0.45,0.00533599564581372,0.000521521540492688,4.16245931726914e-05,299,299,299 +"266","IAR_LU_biexp","Vein",10,1,0.1,0.003,0.926470695260705,0.0982613762253741,0.000127034347223934,0.45,0.45,0.45,0.45,0.45,0.45,0.0215210674937771,0.00496152716857027,0.000371973810625793,299,299,299 +"267","IAR_LU_biexp","Vein",30,1,0.1,0.003,0.977495351988701,0.0994484053257689,8.67768297506284e-05,0.45,0.45,0.45,0.45,0.45,0.45,0.00692461752649988,0.00165005168479494,0.000295520156728701,299,299,299 +"268","IAR_LU_biexp","Vein",50,1,0.1,0.003,0.986847787845757,0.0996578523982781,7.50360361710704e-05,0.45,0.45,0.45,0.45,0.45,0.45,0.00411089364622236,0.00101750527774572,0.000278518470089847,299,299,299 +"269","IAR_LU_biexp","Vein",100,1,0.1,0.003,0.993665235854761,0.0998164880988224,5.78826115993397e-05,0.45,0.45,0.45,0.45,0.45,0.45,0.0020037885113627,0.00052992688033651,0.000263826201803343,299,299,299 +"270","IAR_LU_biexp","Vein",200,1,0.1,0.003,0.996952138240823,0.0999023540965261,4.8214267558104e-05,0.45,0.45,0.45,0.45,0.45,0.45,0.000991618405463582,0.000274814551195418,0.000256559599724831,299,299,299 +"271","IAR_LU_modified_mix","Artery",10,1,0.1,0.00299999999999999,0.933579363802235,0.0981781205698233,9.70633429790808e-05,0.01,0.01,0.01,0.0,0.0,0.0,0.0215318611413002,0.00482757069588135,0.000275991184227365,299,299,299 +"272","IAR_LU_modified_mix","Artery",30,1,0.1,0.00299999999999999,0.978671867100798,0.09892600579,0.000119226665915575,0.01,0.01,0.01,0.0,0.0,0.0,0.00720157041375071,0.00256014561471879,0.000450205119408671,299,299,299 +"273","IAR_LU_modified_mix","Artery",50,1,0.1,0.00299999999999999,0.98751771157853,0.0993247219159411,0.000155622896771885,0.01,0.01,0.01,0.0,0.0,0.0,0.0042647658453825,0.00160778385717871,0.000578365295845301,299,299,299 +"274","IAR_LU_modified_mix","Artery",100,1,0.1,0.00299999999999999,0.993796443396087,0.0996264194499836,0.000657533259712386,0.01,0.01,0.01,0.0,0.0,0.0,0.00223882022216707,0.00086133036546738,0.000806976919501695,299,299,299 +"275","IAR_LU_modified_mix","Artery",200,1,0.1,0.00299999999999999,0.996828590543808,0.0998098887499377,0.000943372691005837,0.01,0.01,0.01,0.0,0.0,0.0,0.00125867549396226,0.000416833185969558,0.000913142491893007,299,299,299 +"276","IAR_LU_modified_mix","asc lower intestine",10,0.69,0.029,0.00131,0.701223646582491,0.0376513336476138,0.00123524119608367,0.01,0.01,0.01,0.0,0.0,0.0,0.0837773013989109,0.0141943660515946,0.000699508782885012,299,299,299 +"277","IAR_LU_modified_mix","asc lower intestine",30,0.69,0.029,0.00131,0.689306585612941,0.03056670885455,0.00132572341726777,0.01,0.01,0.01,0.0,0.0,0.0,0.034303819715471,0.00387626419813865,0.000274460260564223,299,299,299 +"278","IAR_LU_modified_mix","asc lower intestine",50,0.69,0.029,0.00131,0.689075907318992,0.0296128359325151,0.00131657110666804,0.01,0.01,0.01,0.0,0.0,0.0,0.0211021916379056,0.00231560757925245,0.000165600040581703,299,299,299 +"279","IAR_LU_modified_mix","asc lower intestine",100,0.69,0.029,0.00131,0.689238857565419,0.0291671508891823,0.00131237576950811,0.01,0.01,0.01,0.0,0.0,0.0,0.0106151656409967,0.00118522507261111,8.31808965657942e-05,299,299,299 +"280","IAR_LU_modified_mix","asc lower intestine",200,0.69,0.029,0.00131,0.689574313925262,0.0290644806689415,0.00131115711101731,0.01,0.01,0.01,0.0,0.0,0.0,0.00532142710483172,0.000597054725407975,4.1659773058657e-05,299,299,299 +"281","IAR_LU_modified_mix","Blood RA",10,1,0.1,0.00299999999999999,0.933575300809065,0.0981815270046916,9.65217211997456e-05,0.01,0.01,0.01,0.0,0.0,0.0,0.0215300912571584,0.00481923456081724,0.000273710104687895,299,299,299 +"282","IAR_LU_modified_mix","Blood RA",30,1,0.1,0.00299999999999999,0.978662595213691,0.0989275779328583,0.00010542948356084,0.01,0.01,0.01,0.0,0.0,0.0,0.00717437899607171,0.00256176853414121,0.000391250087655414,299,299,299 +"283","IAR_LU_modified_mix","Blood RA",50,1,0.1,0.00299999999999999,0.987512753442544,0.099328315226463,0.000124118811483159,0.01,0.01,0.01,0.0,0.0,0.0,0.00425728054798535,0.00160430782386209,0.000479214347936997,299,299,299 +"284","IAR_LU_modified_mix","Blood RA",100,1,0.1,0.00299999999999999,0.993786543401458,0.0996276142129756,0.000650276001467062,0.01,0.01,0.01,0.0,0.0,0.0,0.00224408691471154,0.000857082958689388,0.000761603078233144,299,299,299 +"285","IAR_LU_modified_mix","Blood RA",200,1,0.1,0.00299999999999999,0.996833524109323,0.0998108045669356,0.000976493489940239,0.01,0.01,0.01,0.0,0.0,0.0,0.00123215593525396,0.000423580198964809,0.000924366143777448,299,299,299 +"286","IAR_LU_modified_mix","Blood RV",10,1,0.1,0.003,0.93357900109985,0.0981723617696232,9.67174865925376e-05,0.01,0.01,0.01,0.0,0.0,0.0,0.0215232546705589,0.00482742308744763,0.000272582906535994,299,299,299 +"287","IAR_LU_modified_mix","Blood RV",30,1,0.1,0.003,0.978664698240321,0.0989219727145498,0.000105685491001133,0.01,0.01,0.01,0.0,0.0,0.0,0.00717559501606295,0.00256252558783629,0.000390490824176282,299,299,299 +"288","IAR_LU_modified_mix","Blood RV",50,1,0.1,0.003,0.987511221918471,0.0993154735002196,0.000120678871714642,0.01,0.01,0.01,0.0,0.0,0.0,0.00424021387778712,0.00162931803031731,0.000453516350376368,299,299,299 +"289","IAR_LU_modified_mix","Blood RV",100,1,0.1,0.003,0.993784955497053,0.0996342415941186,0.000664176606500931,0.01,0.01,0.01,0.0,0.0,0.0,0.00225100813296018,0.000839639303491649,0.000804260983605819,299,299,299 +"290","IAR_LU_modified_mix","Blood RV",200,1,0.1,0.003,0.996834587471266,0.0998070867569804,0.000949689990517086,0.01,0.01,0.01,0.0,0.0,0.0,0.00122308077253583,0.000427252331629384,0.000912060539747083,299,299,299 +"291","IAR_LU_modified_mix","Bone Marrow",10,0.145,0.05,0.00042999999999999,0.255410175899322,0.057161223882801,0.000351871585633834,0.01,0.01,0.01,0.0,0.0,0.0,0.0675030068396473,0.0317462446128551,0.000139370956182055,299,299,299 +"292","IAR_LU_modified_mix","Bone Marrow",30,0.145,0.05,0.00042999999999999,0.173002209510386,0.0546219963671643,0.000410395260473983,0.01,0.01,0.01,0.0,0.0,0.0,0.0296980474660301,0.0237156401289126,5.25990873805353e-05,299,299,299 +"293","IAR_LU_modified_mix","Bone Marrow",50,0.145,0.05,0.00042999999999999,0.157787279133236,0.0526446156850337,0.000421443620754344,0.01,0.01,0.01,0.0,0.0,0.0,0.0183809918483863,0.0166217751911244,3.125622361802e-05,299,299,299 +"294","IAR_LU_modified_mix","Bone Marrow",100,0.145,0.05,0.00042999999999999,0.148671542004643,0.0508040273192866,0.000427371734726496,0.01,0.01,0.01,0.0,0.0,0.0,0.00942310197747639,0.00809032250416037,1.54132006738711e-05,299,299,299 +"295","IAR_LU_modified_mix","Bone Marrow",200,0.145,0.05,0.00042999999999999,0.145585928482078,0.0502003982192166,0.000429273420586421,0.01,0.01,0.01,0.0,0.0,0.0,0.0050563729443174,0.00385534998339569,7.66337499241091e-06,299,299,299 +"296","IAR_LU_modified_mix","desc lower intestine",10,0.69,0.029,0.00130999999999999,0.701174277426383,0.0376715964354033,0.00123550640788173,0.01,0.01,0.01,0.0,0.0,0.0,0.0838662990658025,0.0142494624332638,0.000699873047439215,299,299,299 +"297","IAR_LU_modified_mix","desc lower intestine",30,0.69,0.029,0.00130999999999999,0.689292487761693,0.0305660393001784,0.00132568696894396,0.01,0.01,0.01,0.0,0.0,0.0,0.0343087261655943,0.00387519817789111,0.000274414440744305,299,299,299 +"298","IAR_LU_modified_mix","desc lower intestine",50,0.69,0.029,0.00130999999999999,0.689075195589479,0.02961314383591,0.0013165853864291,0.01,0.01,0.01,0.0,0.0,0.0,0.0210803960524797,0.00231611627395294,0.000165483197153052,299,299,299 +"299","IAR_LU_modified_mix","desc lower intestine",100,0.69,0.029,0.00130999999999999,0.689242880025739,0.0291667325737095,0.00131234827348666,0.01,0.01,0.01,0.0,0.0,0.0,0.0106194888936157,0.00118563645758837,8.32080068574668e-05,299,299,299 +"300","IAR_LU_modified_mix","desc lower intestine",200,0.69,0.029,0.00130999999999999,0.689574264883035,0.0290647219681835,0.00131117197794154,0.01,0.01,0.01,0.0,0.0,0.0,0.00531567897538461,0.000594931504062953,4.16454977861749e-05,299,299,299 +"301","IAR_LU_modified_mix","esophagus",10,0.32,0.03,0.00167,0.400528142283051,0.0447895376598339,0.00154277262406992,0.01,0.01,0.01,0.0,0.0,0.0,0.102482913139256,0.0260630018014589,0.000435783382138727,299,299,299 +"302","IAR_LU_modified_mix","esophagus",30,0.32,0.03,0.00167,0.33748092809256,0.0333225297302639,0.00164844098750833,0.01,0.01,0.01,0.0,0.0,0.0,0.040423033951727,0.00969472201353755,0.000155020727448404,299,299,299 +"303","IAR_LU_modified_mix","esophagus",50,0.32,0.03,0.00167,0.32773450128332,0.0312900532016925,0.00165948299915482,0.01,0.01,0.01,0.0,0.0,0.0,0.0251838471214392,0.00504123277694988,9.38498289580862e-05,299,299,299 +"304","IAR_LU_modified_mix","esophagus",100,0.32,0.03,0.00167,0.321574898400558,0.0303784529565436,0.00166720478125643,0.01,0.01,0.01,0.0,0.0,0.0,0.0130131922973284,0.00246507497199244,4.7252314428471e-05,299,299,299 +"305","IAR_LU_modified_mix","esophagus",200,0.32,0.03,0.00167,0.319968465017025,0.0301239636009413,0.00166956389959283,0.01,0.01,0.01,0.0,0.0,0.0,0.00670311533075072,0.00122805135096827,2.36456051413317e-05,299,299,299 +"306","IAR_LU_modified_mix","esophagus cont",10,0.32,0.03,0.00167,0.401014273804075,0.044528196541646,0.00153984506583438,0.01,0.01,0.01,0.0,0.0,0.0,0.102554694287832,0.0258923649457136,0.000432633458198373,299,299,299 +"307","IAR_LU_modified_mix","esophagus cont",30,0.32,0.03,0.00167,0.337493218742292,0.033322531151055,0.00164845301439931,0.01,0.01,0.01,0.0,0.0,0.0,0.0404502301276227,0.00966039174148222,0.000155025573878561,299,299,299 +"308","IAR_LU_modified_mix","esophagus cont",50,0.32,0.03,0.00167,0.327727222220736,0.0312966322965187,0.00165952856401338,0.01,0.01,0.01,0.0,0.0,0.0,0.0251824845781648,0.0050615899387542,9.39725376206142e-05,299,299,299 +"309","IAR_LU_modified_mix","esophagus cont",100,0.32,0.03,0.00167,0.321560169511703,0.0303801399911839,0.00166722483629749,0.01,0.01,0.01,0.0,0.0,0.0,0.013026049353449,0.00246737996558917,4.73665756012979e-05,299,299,299 +"310","IAR_LU_modified_mix","esophagus cont",200,0.32,0.03,0.00167,0.319952071390493,0.0301286978913269,0.00166961616659332,0.01,0.01,0.01,0.0,0.0,0.0,0.00668717025804369,0.00124051623664183,2.37694256450246e-05,299,299,299 +"311","IAR_LU_modified_mix","gall bladder",10,0,0.1,0.00299999999999999,0.213099930591991,0.052043770068202,0.0025175950993962,0.01,0.01,0.01,0.0,0.0,0.0,0.190515425558746,0.0339462558795628,0.000701529339413428,299,299,299 +"312","IAR_LU_modified_mix","gall bladder",30,0,0.1,0.00299999999999999,0.0850527173920099,0.0372564285794011,0.00284389720862991,0.01,0.01,0.01,0.0,0.0,0.0,0.115243695243536,0.0256657506166197,0.000287551014792903,299,299,299 +"313","IAR_LU_modified_mix","gall bladder",50,0,0.1,0.00299999999999999,0.0561312956125832,0.0434624452954351,0.00290095832804478,0.01,0.01,0.01,0.0,0.0,0.0,0.0871849807352596,0.0329926685459895,0.000183539648546026,299,299,299 +"314","IAR_LU_modified_mix","gall bladder",100,0,0.1,0.00299999999999999,0.0314895323041983,0.0373653078042108,0.00294518495037343,0.01,0.01,0.01,0.0,0.0,0.0,0.0520540998290607,0.0300207678950628,9.48532653655064e-05,299,299,299 +"315","IAR_LU_modified_mix","gall bladder",200,0,0.1,0.00299999999999999,0.0194035879184787,0.0341450298262806,0.00296434016566644,0.01,0.01,0.01,0.0,0.0,0.0,0.0304199304287961,0.0279192964185975,4.89073796253866e-05,299,299,299 +"316","IAR_LU_modified_mix","Left kidney cortex",10,0.097,0.02,0.00212,0.249211916537784,0.0477637014991833,0.00188244756453684,0.01,0.01,0.01,0.0,0.0,0.0,0.149656603033168,0.0330290351874172,0.000503920313598424,299,299,299 +"317","IAR_LU_modified_mix","Left kidney cortex",30,0.097,0.02,0.00212,0.15071973927975,0.0347518630439147,0.00204584640794406,0.01,0.01,0.01,0.0,0.0,0.0,0.0757970009486,0.027755135687617,0.000194577570441247,299,299,299 +"318","IAR_LU_modified_mix","Left kidney cortex",50,0.097,0.02,0.00212,0.125732248582673,0.0289031057972162,0.00208038166001239,0.01,0.01,0.01,0.0,0.0,0.0,0.047859422463262,0.0221771770711619,0.000120061577554994,299,299,299 +"319","IAR_LU_modified_mix","Left kidney cortex",100,0.097,0.02,0.00212,0.109240088399632,0.0209997854679164,0.00210027276508396,0.01,0.01,0.01,0.0,0.0,0.0,0.0200907415665101,0.00832170015989728,5.50797324866004e-05,299,299,299 +"320","IAR_LU_modified_mix","Left kidney cortex",200,0.097,0.02,0.00212,0.102558702020318,0.0195655651704164,0.00210918060574379,0.01,0.01,0.01,0.0,0.0,0.0,0.0100851694266411,0.00306247205945165,2.76482145084632e-05,299,299,299 +"321","IAR_LU_modified_mix","left kidney medulla",10,0.158,0.019,0.00209,0.292364099132135,0.0458217829470019,0.00186201424991202,0.01,0.01,0.01,0.0,0.0,0.0,0.154645845031452,0.0326811554144871,0.000547176537231215,299,299,299 +"322","IAR_LU_modified_mix","left kidney medulla",30,0.158,0.019,0.00209,0.195008723599424,0.0298739690092796,0.0020437976312803,0.01,0.01,0.01,0.0,0.0,0.0,0.0711087487175683,0.0218743886163908,0.000204432318575243,299,299,299 +"323","IAR_LU_modified_mix","left kidney medulla",50,0.158,0.019,0.00209,0.174309922573107,0.0242370856444728,0.00207242176686676,0.01,0.01,0.01,0.0,0.0,0.0,0.0416837763989096,0.0129207634494968,0.00012187892967088,299,299,299 +"324","IAR_LU_modified_mix","left kidney medulla",100,0.158,0.019,0.00209,0.16334225682353,0.0203017625508479,0.00208401022972324,0.01,0.01,0.01,0.0,0.0,0.0,0.0211477948274461,0.00393002833125807,6.13114065645588e-05,299,299,299 +"325","IAR_LU_modified_mix","left kidney medulla",200,0.158,0.019,0.00209,0.158899691627802,0.0194362503954701,0.00208913493556693,0.01,0.01,0.01,0.0,0.0,0.0,0.0110129639544047,0.00194999185889033,3.12930073067446e-05,299,299,299 +"326","IAR_LU_modified_mix","Liver",10,0.11,0.1,0.0015,0.239325640203742,0.064621231816738,0.00133369146127779,0.01,0.01,0.01,0.0,0.0,0.0,0.100436585691863,0.0340675063158859,0.000296280589402841,299,299,299 +"327","IAR_LU_modified_mix","Liver",30,0.11,0.1,0.0015,0.140744448274702,0.0802829199788822,0.00145863132798395,0.01,0.01,0.01,0.0,0.0,0.0,0.0327965668568621,0.0259408225140836,8.82238281439219e-05,299,299,299 +"328","IAR_LU_modified_mix","Liver",50,0.11,0.1,0.0015,0.123076320124452,0.0870678845490949,0.00148134399184748,0.01,0.01,0.01,0.0,0.0,0.0,0.0184648538004832,0.0178595156153214,4.84924857338478e-05,299,299,299 +"329","IAR_LU_modified_mix","Liver",100,0.11,0.1,0.0015,0.113750349132065,0.0925314446821429,0.00149249037154927,0.01,0.01,0.01,0.0,0.0,0.0,0.00971501638854367,0.010497513693874,2.39622301376823e-05,299,299,299 +"330","IAR_LU_modified_mix","Liver",200,0.11,0.1,0.0015,0.111144768677291,0.0958100571433133,0.00149661586666139,0.01,0.01,0.01,0.0,0.0,0.0,0.00525653904993725,0.00575245043928642,1.19557343563965e-05,299,299,299 +"331","IAR_LU_modified_mix","muscle",10,0.1,0.0263,0.00137,0.23660854683227,0.0506391565876139,0.00123318230235553,0.01,0.01,0.01,0.0,0.0,0.0,0.109291534658493,0.0333494412168977,0.00030176009603916,299,299,299 +"332","IAR_LU_modified_mix","muscle",30,0.1,0.0263,0.00137,0.143816432859183,0.0370174389359611,0.00132482540698454,0.01,0.01,0.01,0.0,0.0,0.0,0.0464859800675122,0.0258464301776316,0.000107797221771321,299,299,299 +"333","IAR_LU_modified_mix","muscle",50,0.1,0.0263,0.00137,0.122706777225242,0.0321698159068025,0.00134655408336375,0.01,0.01,0.01,0.0,0.0,0.0,0.0282864755594308,0.0191775017199143,6.55749328983165e-05,299,299,299 +"334","IAR_LU_modified_mix","muscle",100,0.1,0.0263,0.00137,0.110844424196709,0.0260006977393115,0.00135573606229656,0.01,0.01,0.01,0.0,0.0,0.0,0.0125436223877704,0.00785336872929274,3.04400266741144e-05,299,299,299 +"335","IAR_LU_modified_mix","muscle",200,0.1,0.0263,0.00137,0.105355386836379,0.0247097756859135,0.00136088859906645,0.01,0.01,0.01,0.0,0.0,0.0,0.00536083357606653,0.00299800127839342,1.31177616926006e-05,299,299,299 +"336","IAR_LU_modified_mix","Myocardium LV",10,0.15,0.08,0.00239999999999999,0.292362587488914,0.0629907902961016,0.00207166412423847,0.01,0.01,0.01,0.0,0.0,0.0,0.126821933108638,0.03366369506261,0.000515087292109982,299,299,299 +"337","IAR_LU_modified_mix","Myocardium LV",30,0.15,0.08,0.00239999999999999,0.178010017027096,0.0764312463797962,0.00234581630941427,0.01,0.01,0.01,0.0,0.0,0.0,0.0363269922342199,0.0242879014894483,0.000153597376893095,299,299,299 +"338","IAR_LU_modified_mix","Myocardium LV",50,0.15,0.08,0.00239999999999999,0.160889110616921,0.079330866649658,0.0023783114161423,0.01,0.01,0.01,0.0,0.0,0.0,0.0207954668069259,0.0182674983524074,8.80519500639106e-05,299,299,299 +"339","IAR_LU_modified_mix","Myocardium LV",100,0.15,0.08,0.00239999999999999,0.152033492215677,0.0806001836738566,0.00239448062310297,0.01,0.01,0.01,0.0,0.0,0.0,0.0108667858732398,0.0120034194760033,4.43494427059763e-05,299,299,299 +"340","IAR_LU_modified_mix","Myocardium LV",200,0.15,0.08,0.00239999999999999,0.150207516843606,0.0804550316605363,0.00239857205200293,0.01,0.01,0.01,0.0,0.0,0.0,0.00571156202934575,0.00693887613146626,2.25098005274982e-05,299,299,299 +"341","IAR_LU_modified_mix","myocardium ra",10,0.07,0.07,0.00149999999999999,0.217501471032402,0.0544760915728931,0.00133055818698415,0.01,0.01,0.01,0.0,0.0,0.0,0.106719851959577,0.0337541690610958,0.000296493468672548,299,299,299 +"342","IAR_LU_modified_mix","myocardium ra",30,0.07,0.07,0.00149999999999999,0.113735077177668,0.0611850189098612,0.00144708433134441,0.01,0.01,0.01,0.0,0.0,0.0,0.0410763288924654,0.0319369404588204,9.70408424786014e-05,299,299,299 +"343","IAR_LU_modified_mix","myocardium ra",50,0.07,0.07,0.00149999999999999,0.0907357252402713,0.0662283544297089,0.00147506609025538,0.01,0.01,0.01,0.0,0.0,0.0,0.023043275702223,0.0267541331298772,5.63915091428194e-05,299,299,299 +"344","IAR_LU_modified_mix","myocardium ra",100,0.07,0.07,0.00149999999999999,0.0764057811693465,0.0701701870574764,0.00149201203184435,0.01,0.01,0.01,0.0,0.0,0.0,0.0111006225753744,0.0206154983606907,2.76405608759264e-05,299,299,299 +"345","IAR_LU_modified_mix","myocardium ra",200,0.07,0.07,0.00149999999999999,0.0711679858044162,0.0710326872559589,0.00149825129541177,0.01,0.01,0.01,0.0,0.0,0.0,0.00549068530681846,0.0123340673578376,1.31225602596839e-05,299,299,299 +"346","IAR_LU_modified_mix","myocardium RV",10,0.15,0.08,0.0024,0.289628074951734,0.0637775719962532,0.00208081163795543,0.01,0.01,0.01,0.0,0.0,0.0,0.12450892645196,0.0335920075966524,0.000512872149887281,299,299,299 +"347","IAR_LU_modified_mix","myocardium RV",30,0.15,0.08,0.0024,0.177699773593238,0.0766874613881476,0.00234668863699623,0.01,0.01,0.01,0.0,0.0,0.0,0.0363464414745319,0.0240838085197775,0.000151918411575661,299,299,299 +"348","IAR_LU_modified_mix","myocardium RV",50,0.15,0.08,0.0024,0.160873602831393,0.0793221198373461,0.00237834893638195,0.01,0.01,0.01,0.0,0.0,0.0,0.0207517462185611,0.0182333907280297,8.78971465470277e-05,299,299,299 +"349","IAR_LU_modified_mix","myocardium RV",100,0.15,0.08,0.0024,0.152002281916678,0.0806643435289765,0.00239459518741852,0.01,0.01,0.01,0.0,0.0,0.0,0.0108609454919215,0.0120085881494662,4.43880352757171e-05,299,299,299 +"350","IAR_LU_modified_mix","myocardium RV",200,0.15,0.08,0.0024,0.150194344004471,0.0804770731314027,0.00239862156880706,0.01,0.01,0.01,0.0,0.0,0.0,0.00571762802478212,0.00689708075403177,2.24969984809716e-05,299,299,299 +"351","IAR_LU_modified_mix","pancreas",10,0.15,0.00999999999999999,0.00129999999999999,0.250337312811882,0.0429394218196517,0.00123366640633288,0.01,0.01,0.01,0.0,0.0,0.0,0.126244219254416,0.0330844864307203,0.000343365944613904,299,299,299 +"352","IAR_LU_modified_mix","pancreas",30,0.15,0.00999999999999999,0.00129999999999999,0.182635519634709,0.0217244515295429,0.00127914746086754,0.01,0.01,0.01,0.0,0.0,0.0,0.0707574730175478,0.0217267246450501,0.000150029529363098,299,299,299 +"353","IAR_LU_modified_mix","pancreas",50,0.15,0.00999999999999999,0.00129999999999999,0.170125264064116,0.0142893258714303,0.00128451584384087,0.01,0.01,0.01,0.0,0.0,0.0,0.0496280234052931,0.0105993362989814,9.92040179341627e-05,299,299,299 +"354","IAR_LU_modified_mix","pancreas",100,0.15,0.00999999999999999,0.00129999999999999,0.156762563744675,0.0112601518063714,0.00129564556890051,0.01,0.01,0.01,0.0,0.0,0.0,0.027590796026195,0.00279936646347794,5.36929465204976e-05,299,299,299 +"355","IAR_LU_modified_mix","pancreas",200,0.15,0.00999999999999999,0.00129999999999999,0.151418110467849,0.0104453858025751,0.0012997724046297,0.01,0.01,0.01,0.0,0.0,0.0,0.0142256572656525,0.00130568303745554,2.75640642718809e-05,299,299,299 +"356","IAR_LU_modified_mix","pericardium",10,0.07,0.01,0.003,0.251786488011977,0.0478373146160328,0.00252270425215049,0.01,0.01,0.01,0.0,0.0,0.0,0.20731676079253,0.0336522803055412,0.000798918918662651,299,299,299 +"357","IAR_LU_modified_mix","pericardium",30,0.07,0.01,0.003,0.149410469557966,0.0364014914029373,0.00284613176125041,0.01,0.01,0.01,0.0,0.0,0.0,0.157208964349275,0.0306036468735717,0.000394942604825416,299,299,299 +"358","IAR_LU_modified_mix","pericardium",50,0.07,0.01,0.003,0.132087594562028,0.0330935892824175,0.0028961848124099,0.01,0.01,0.01,0.0,0.0,0.0,0.135882164088608,0.0316099488159599,0.000291201961775075,299,299,299 +"359","IAR_LU_modified_mix","pericardium",100,0.07,0.01,0.003,0.119436704039246,0.0215646553186188,0.00292959197528041,0.01,0.01,0.01,0.0,0.0,0.0,0.105422839684938,0.0253410555419303,0.000189644939354467,299,299,299 +"360","IAR_LU_modified_mix","pericardium",200,0.07,0.01,0.003,0.0994519259281258,0.0128357973009129,0.00295826648749986,0.01,0.01,0.01,0.0,0.0,0.0,0.0711784199815949,0.0109114975459895,0.000118609066802611,299,299,299 +"361","IAR_LU_modified_mix","right kidney medulla",10,0.158,0.019,0.00209,0.289911330542732,0.0465550498232366,0.00186943616213806,0.01,0.01,0.01,0.0,0.0,0.0,0.153376427569193,0.0330440360702767,0.000545379881377775,299,299,299 +"362","IAR_LU_modified_mix","right kidney medulla",30,0.158,0.019,0.00209,0.19534264712669,0.0298319190198049,0.00204245004231809,0.01,0.01,0.01,0.0,0.0,0.0,0.0713632692080229,0.0217470203641998,0.000204336182310457,299,299,299 +"363","IAR_LU_modified_mix","right kidney medulla",50,0.158,0.019,0.00209,0.174130934274092,0.0242610880763217,0.00207282845082234,0.01,0.01,0.01,0.0,0.0,0.0,0.041399922395633,0.0129544378148755,0.000121303269522127,299,299,299 +"364","IAR_LU_modified_mix","right kidney medulla",100,0.158,0.019,0.00209,0.163236792245584,0.0203130579906,0.00208426555212626,0.01,0.01,0.01,0.0,0.0,0.0,0.0209795668408236,0.00391455001169134,6.09646483382022e-05,299,299,299 +"365","IAR_LU_modified_mix","right kidney medulla",200,0.158,0.019,0.00209,0.159029118204426,0.0194103597058457,0.00208880803871265,0.01,0.01,0.01,0.0,0.0,0.0,0.0110362205719434,0.00193566902497546,3.14588725624993e-05,299,299,299 +"366","IAR_LU_modified_mix","Right kydney cortex",10,0.097,0.02,0.00212,0.249563386384222,0.0474132365818199,0.00188107035486508,0.01,0.01,0.01,0.0,0.0,0.0,0.149542908525417,0.0328410389287322,0.000503017912333374,299,299,299 +"367","IAR_LU_modified_mix","Right kydney cortex",30,0.097,0.02,0.00212,0.152140246999391,0.033755943571136,0.00204252137752563,0.01,0.01,0.01,0.0,0.0,0.0,0.0758930207048284,0.0272301887372523,0.00019381391226516,299,299,299 +"368","IAR_LU_modified_mix","Right kydney cortex",50,0.097,0.02,0.00212,0.125696651865125,0.0290015872087349,0.00208051772605844,0.01,0.01,0.01,0.0,0.0,0.0,0.0479651079192665,0.0223358307614853,0.000120126566306312,299,299,299 +"369","IAR_LU_modified_mix","Right kydney cortex",100,0.097,0.02,0.00212,0.109332986459151,0.0210139717518812,0.00210010104991196,0.01,0.01,0.01,0.0,0.0,0.0,0.0200861074926146,0.00856985167563071,5.49018000244951e-05,299,299,299 +"370","IAR_LU_modified_mix","Right kydney cortex",200,0.097,0.02,0.00212,0.10258654227759,0.0195467057150104,0.00210911002210236,0.01,0.01,0.01,0.0,0.0,0.0,0.00980274849044289,0.0030825874121954,2.69517080395231e-05,299,299,299 +"371","IAR_LU_modified_mix","small intestine",10,0.69,0.029,0.00130999999999999,0.70122696592426,0.0376539110613118,0.00123505539062481,0.01,0.01,0.01,0.0,0.0,0.0,0.0838205694249865,0.0142188540611436,0.000699723512112403,299,299,299 +"372","IAR_LU_modified_mix","small intestine",30,0.69,0.029,0.00130999999999999,0.689266684378299,0.0305690782415275,0.00132592123207284,0.01,0.01,0.01,0.0,0.0,0.0,0.0342997032019691,0.00387254355586973,0.000274512040451385,299,299,299 +"373","IAR_LU_modified_mix","small intestine",50,0.69,0.029,0.00130999999999999,0.689059129723678,0.0296153462338179,0.00131670299900435,0.01,0.01,0.01,0.0,0.0,0.0,0.021112176489416,0.00231717930703006,0.000165627693146033,299,299,299 +"374","IAR_LU_modified_mix","small intestine",100,0.69,0.029,0.00130999999999999,0.68927138830738,0.0291635416642177,0.00131215486082545,0.01,0.01,0.01,0.0,0.0,0.0,0.0105954934516014,0.00118425924813539,8.30188309302559e-05,299,299,299 +"375","IAR_LU_modified_mix","small intestine",200,0.69,0.029,0.00130999999999999,0.689574733945921,0.0290646009171396,0.0013111610055326,0.01,0.01,0.01,0.0,0.0,0.0,0.00531561019498182,0.000596022991590395,4.1649410160958e-05,299,299,299 +"376","IAR_LU_modified_mix","spinal cord",10,0.178,0.0289,0.00040999999999999,0.279937751451633,0.0465333686598354,0.000347625110538286,0.01,0.01,0.01,0.0,0.0,0.0,0.0683135051636323,0.0287385912388091,0.000148155280528255,299,299,299 +"377","IAR_LU_modified_mix","spinal cord",30,0.178,0.0289,0.00040999999999999,0.205893482627091,0.0344192765614524,0.000392641579369552,0.01,0.01,0.01,0.0,0.0,0.0,0.0315823915519112,0.0167624696783291,5.99698060643055e-05,299,299,299 +"378","IAR_LU_modified_mix","spinal cord",50,0.178,0.0289,0.00040999999999999,0.192116117820096,0.0308469877828401,0.000400844734093261,0.01,0.01,0.01,0.0,0.0,0.0,0.0201148283271957,0.00817887657307476,3.70715747086022e-05,299,299,299 +"379","IAR_LU_modified_mix","spinal cord",100,0.178,0.0289,0.00040999999999999,0.182792047029648,0.0293696469456283,0.000406581822225073,0.01,0.01,0.01,0.0,0.0,0.0,0.0105444017436595,0.00362381321100429,1.85143425887246e-05,299,299,299 +"380","IAR_LU_modified_mix","spinal cord",200,0.178,0.0289,0.00040999999999999,0.17903235126329,0.0290452753792224,0.000409079474474216,0.01,0.01,0.01,0.0,0.0,0.0,0.00552132237988571,0.00181367443240724,9.31623315326615e-06,299,299,299 +"381","IAR_LU_modified_mix","spleen",10,0.2,0.03,0.00129999999999999,0.30774195581985,0.0468880610587974,0.0011805533885424,0.01,0.01,0.01,0.0,0.0,0.0,0.0988349608683925,0.0293855705151366,0.000309558478622005,299,299,299 +"382","IAR_LU_modified_mix","spleen",30,0.2,0.03,0.00129999999999999,0.226774559875396,0.0357363508746285,0.00127415262993601,0.01,0.01,0.01,0.0,0.0,0.0,0.0384181929628775,0.0166026467397822,0.00010585378059795,299,299,299 +"383","IAR_LU_modified_mix","spleen",50,0.2,0.03,0.00129999999999999,0.212765331285141,0.0322433312290305,0.00128741297305961,0.01,0.01,0.01,0.0,0.0,0.0,0.0240493075604613,0.00846633399672304,6.47361339058287e-05,299,299,299 +"384","IAR_LU_modified_mix","spleen",100,0.2,0.03,0.00129999999999999,0.203966706308344,0.0305700307013428,0.00129549188821298,0.01,0.01,0.01,0.0,0.0,0.0,0.0124341490047757,0.00377102288201863,3.23973688241743e-05,299,299,299 +"385","IAR_LU_modified_mix","spleen",200,0.2,0.03,0.00129999999999999,0.200634973978137,0.0301605703601379,0.00129886877080733,0.01,0.01,0.01,0.0,0.0,0.0,0.00649208212950684,0.00188722260966841,1.62936106758713e-05,299,299,299 +"386","IAR_LU_modified_mix","st wall",10,0.3,0.012,0.0015,0.368093491636332,0.0330853067441585,0.00143506550233625,0.01,0.01,0.01,0.0,0.0,0.0,0.14836514371608,0.0276483848432041,0.000507945022317122,299,299,299 +"387","IAR_LU_modified_mix","st wall",30,0.3,0.012,0.0015,0.308781766987439,0.0166191845898841,0.00151101497246218,0.01,0.01,0.01,0.0,0.0,0.0,0.0726053597095992,0.00803858373065323,0.000207431627810057,299,299,299 +"388","IAR_LU_modified_mix","st wall",50,0.3,0.012,0.0015,0.300696854201932,0.0141387764740772,0.00151415960061874,0.01,0.01,0.01,0.0,0.0,0.0,0.04600423486159,0.00348335668480806,0.000127481695676878,299,299,299 +"389","IAR_LU_modified_mix","st wall",100,0.3,0.012,0.0015,0.298693478442132,0.012743809229729,0.00150796338308881,0.01,0.01,0.01,0.0,0.0,0.0,0.0246629181139645,0.00159360699591724,6.6419690144408e-05,299,299,299 +"390","IAR_LU_modified_mix","st wall",200,0.3,0.012,0.0015,0.298465703751069,0.012253030942818,0.00150440456425131,0.01,0.01,0.01,0.0,0.0,0.0,0.0128334615043785,0.000751637309802873,3.39518370162817e-05,299,299,299 +"391","IAR_LU_modified_mix","Stomach Contents",10,0,0,0.003,0.215431268097787,0.051194014495429,0.00250778691387984,0.01,0.01,0.01,0.0,0.0,0.0,0.1930544797776,0.0335785121141249,0.000701740045943955,299,299,299 +"392","IAR_LU_modified_mix","Stomach Contents",30,0,0,0.003,0.0849963391037106,0.0380025298886934,0.00284364847524877,0.01,0.01,0.01,0.0,0.0,0.0,0.115118854230171,0.0262830157511263,0.000286689822329842,299,299,299 +"393","IAR_LU_modified_mix","Stomach Contents",50,0,0,0.003,0.0556599833709505,0.041725596415107,0.00290164672973527,0.01,0.01,0.01,0.0,0.0,0.0,0.0850704718562158,0.0324088422405038,0.00018154867743984,299,299,299 +"394","IAR_LU_modified_mix","Stomach Contents",100,0,0,0.003,0.0316988354063611,0.0360531897397629,0.00294480347210491,0.01,0.01,0.01,0.0,0.0,0.0,0.0511601125583738,0.0295389607131985,9.42292964326697e-05,299,299,299 +"395","IAR_LU_modified_mix","Stomach Contents",200,0,0,0.003,0.0186229051582915,0.034162809969901,0.00296536995778233,0.01,0.01,0.01,0.0,0.0,0.0,0.0297585145222016,0.0276063047389432,4.83781179506412e-05,299,299,299 +"396","IAR_LU_modified_mix","trans lower intestine",10,0.69,0.029,0.00130999999999999,0.701212483033619,0.037652807438193,0.00123514818291956,0.01,0.01,0.01,0.0,0.0,0.0,0.0838029434328019,0.0142197025342311,0.000699608574788507,299,299,299 +"397","IAR_LU_modified_mix","trans lower intestine",30,0.69,0.029,0.00130999999999999,0.689289245344325,0.0305662210355462,0.00132572315481311,0.01,0.01,0.01,0.0,0.0,0.0,0.0343001980091956,0.00387405690106146,0.000274330850544466,299,299,299 +"398","IAR_LU_modified_mix","trans lower intestine",50,0.69,0.029,0.00130999999999999,0.68906193117063,0.0296135293366979,0.00131661408919766,0.01,0.01,0.01,0.0,0.0,0.0,0.0211154108528963,0.00231413712116568,0.000165649963279565,299,299,299 +"399","IAR_LU_modified_mix","trans lower intestine",100,0.69,0.029,0.00130999999999999,0.689275981252822,0.029163093569596,0.00131212897899922,0.01,0.01,0.01,0.0,0.0,0.0,0.0105968042221298,0.00118436870841938,8.30530540111145e-05,299,299,299 +"400","IAR_LU_modified_mix","trans lower intestine",200,0.69,0.029,0.00130999999999999,0.689563689091768,0.0290655023597793,0.00131121324828231,0.01,0.01,0.01,0.0,0.0,0.0,0.00532414882852636,0.000595600058648779,4.16215205148165e-05,299,299,299 +"401","IAR_LU_modified_mix","Vein",10,1,0.1,0.003,0.933577443470809,0.0981718629919487,9.68236559348665e-05,0.01,0.01,0.01,0.0,0.0,0.0,0.0215337046645908,0.00483683824557686,0.000274258517451784,299,299,299 +"402","IAR_LU_modified_mix","Vein",30,1,0.1,0.003,0.978663326812847,0.098925012104505,0.000105478167954187,0.01,0.01,0.01,0.0,0.0,0.0,0.00717513114101717,0.00255380905816973,0.00039112626619283,299,299,299 +"403","IAR_LU_modified_mix","Vein",50,1,0.1,0.003,0.987512370124575,0.0993208648205371,0.000133325833140031,0.01,0.01,0.01,0.0,0.0,0.0,0.00425152982183607,0.00162018628611641,0.000504010516111989,299,299,299 +"404","IAR_LU_modified_mix","Vein",100,1,0.1,0.003,0.993798950858744,0.0996346143718298,0.000673203258667489,0.01,0.01,0.01,0.0,0.0,0.0,0.00225500510111486,0.000845423742578068,0.000824782586786844,299,299,299 +"405","IAR_LU_modified_mix","Vein",200,1,0.1,0.003,0.9968317884917,0.0998095752648791,0.000972675592237418,0.01,0.01,0.01,0.0,0.0,0.0,0.00124169134969258,0.000429441277604507,0.000917635488480437,299,299,299 +"406","IAR_LU_modified_topopro","Artery",10,1,0.1,0.00299999999999999,0.92035647401652,0.125272817406689,0.000181720845862233,0.45,0.45,0.45,0.45,0.45,0.45,0.0224660880281578,0.0244335800895243,0.000580253884890183,299,299,299 +"407","IAR_LU_modified_topopro","Artery",30,1,0.1,0.00299999999999999,0.974303994592552,0.106099273415976,0.000177399153276724,0.45,0.45,0.45,0.45,0.45,0.45,0.00748959242380132,0.00829547642308901,0.000678898057155221,299,299,299 +"408","IAR_LU_modified_topopro","Artery",50,1,0.1,0.00299999999999999,0.984941576733294,0.103360683913922,0.000155910233527451,0.45,0.45,0.45,0.45,0.45,0.45,0.00447576445331793,0.00495498901620435,0.000644239667498075,299,299,299 +"409","IAR_LU_modified_topopro","Artery",100,1,0.1,0.00299999999999999,0.992841729039437,0.101349323826864,0.000128756548459845,0.45,0.45,0.45,0.45,0.45,0.45,0.00221529259008822,0.00248392321748498,0.00059616221943802,299,299,299 +"410","IAR_LU_modified_topopro","Artery",200,1,0.1,0.00299999999999999,0.996733417833381,0.100300500796704,0.000119815898517573,0.45,0.45,0.45,0.45,0.45,0.45,0.00117145725780955,0.0010088312565978,0.000632412135089655,299,299,299 +"411","IAR_LU_modified_topopro","asc lower intestine",10,0.69,0.029,0.00131,0.694369836738132,0.0414518487757332,0.00127463347186522,0.45,0.45,0.45,0.45,0.45,0.45,0.0967763377063484,0.0237050869533477,0.000812681000593254,299,299,299 +"412","IAR_LU_modified_topopro","asc lower intestine",30,0.69,0.029,0.00131,0.687723327916986,0.0307536459348532,0.00133886624541795,0.45,0.45,0.45,0.45,0.45,0.45,0.0354201009529855,0.00431477934464732,0.000287007013619238,299,299,299 +"413","IAR_LU_modified_topopro","asc lower intestine",50,0.69,0.029,0.00131,0.689236208111137,0.0295496677040795,0.0013156742461233,0.45,0.45,0.45,0.45,0.45,0.45,0.0216250167447359,0.002484361319175,0.000169402477010995,299,299,299 +"414","IAR_LU_modified_topopro","asc lower intestine",100,0.69,0.029,0.00131,0.689723221150825,0.0290891447583631,0.00130848449278757,0.45,0.45,0.45,0.45,0.45,0.45,0.0109378978206814,0.00123687878983884,8.50932318987122e-05,299,299,299 +"415","IAR_LU_modified_topopro","asc lower intestine",200,0.69,0.029,0.00131,0.689888330194619,0.0290101102979216,0.00130798127574866,0.45,0.45,0.45,0.45,0.45,0.45,0.00549794877816982,0.000595685955493353,4.20582475512493e-05,299,299,299 +"416","IAR_LU_modified_topopro","Blood RA",10,1,0.1,0.00299999999999999,0.92035647401652,0.125272817406689,0.000181720845862233,0.45,0.45,0.45,0.45,0.45,0.45,0.0224660880281578,0.0244335800895243,0.000580253884890183,299,299,299 +"417","IAR_LU_modified_topopro","Blood RA",30,1,0.1,0.00299999999999999,0.974303994592552,0.106099273415976,0.000177399153276724,0.45,0.45,0.45,0.45,0.45,0.45,0.00748959242380132,0.00829547642308901,0.000678898057155221,299,299,299 +"418","IAR_LU_modified_topopro","Blood RA",50,1,0.1,0.00299999999999999,0.984941576733294,0.103360683913922,0.000155910233527451,0.45,0.45,0.45,0.45,0.45,0.45,0.00447576445331793,0.00495498901620435,0.000644239667498075,299,299,299 +"419","IAR_LU_modified_topopro","Blood RA",100,1,0.1,0.00299999999999999,0.992841729039437,0.101349323826864,0.000128756548459845,0.45,0.45,0.45,0.45,0.45,0.45,0.00221529259008822,0.00248392321748498,0.00059616221943802,299,299,299 +"420","IAR_LU_modified_topopro","Blood RA",200,1,0.1,0.00299999999999999,0.996733417833381,0.100300500796704,0.000119815898517573,0.45,0.45,0.45,0.45,0.45,0.45,0.00117145725780955,0.0010088312565978,0.000632412135089655,299,299,299 +"421","IAR_LU_modified_topopro","Blood RV",10,1,0.1,0.003,0.920296650622447,0.125293033588126,0.000183447331029076,0.45,0.45,0.45,0.45,0.45,0.45,0.0226806331224816,0.0244333472528567,0.000584106662250704,299,299,299 +"422","IAR_LU_modified_topopro","Blood RV",30,1,0.1,0.003,0.974303991283049,0.106099273671618,0.000177399100029965,0.45,0.45,0.45,0.45,0.45,0.45,0.00748957829912673,0.00829547736585587,0.000678897095895847,299,299,299 +"423","IAR_LU_modified_topopro","Blood RV",50,1,0.1,0.003,0.984941578599012,0.103360682474306,0.000155910408472978,0.45,0.45,0.45,0.45,0.45,0.45,0.00447576585770208,0.00495498740401099,0.000644237899348858,299,299,299 +"424","IAR_LU_modified_topopro","Blood RV",100,1,0.1,0.003,0.992841726733044,0.101349324599851,0.000128756832432632,0.45,0.45,0.45,0.45,0.45,0.45,0.00221528951841681,0.00248392277283552,0.000596162471686369,299,299,299 +"425","IAR_LU_modified_topopro","Blood RV",200,1,0.1,0.003,0.996733416462042,0.100300501347642,0.000119817129447202,0.45,0.45,0.45,0.45,0.45,0.45,0.00117145369846812,0.00100883159979159,0.000632414305364842,299,299,299 +"426","IAR_LU_modified_topopro","Bone Marrow",10,0.145,0.05,0.00042999999999999,0.273574214132279,0.0616436488056204,0.000318198202923437,0.45,0.45,0.45,0.45,0.45,0.45,0.0838029664765652,0.0517067414737266,0.000173315025530081,299,299,299 +"427","IAR_LU_modified_topopro","Bone Marrow",30,0.145,0.05,0.00042999999999999,0.165533112457181,0.0667577124908232,0.000425000525753243,0.45,0.45,0.45,0.45,0.45,0.45,0.0271472804429782,0.0278852990974742,4.98819357689516e-05,299,299,299 +"428","IAR_LU_modified_topopro","Bone Marrow",50,0.145,0.05,0.00042999999999999,0.153616682669692,0.0600604726534786,0.000430230594088057,0.45,0.45,0.45,0.45,0.45,0.45,0.0163047424658607,0.0206734828753224,3.01575528468546e-05,299,299,299 +"429","IAR_LU_modified_topopro","Bone Marrow",100,0.145,0.05,0.00042999999999999,0.148662898903331,0.0504631895123707,0.000427898410181606,0.45,0.45,0.45,0.45,0.45,0.45,0.00878222935468296,0.0100338963477773,1.52292278177137e-05,299,299,299 +"430","IAR_LU_modified_topopro","Bone Marrow",200,0.145,0.05,0.00042999999999999,0.145783876235324,0.0497325693265072,0.000429018580950521,0.45,0.45,0.45,0.45,0.45,0.45,0.00478887730892974,0.00424863388255698,7.46555108926693e-06,299,299,299 +"431","IAR_LU_modified_topopro","desc lower intestine",10,0.69,0.029,0.00130999999999999,0.693129745459334,0.0415686178913377,0.00128446547139512,0.45,0.45,0.45,0.45,0.45,0.45,0.0966218927131654,0.0236616707376157,0.000820128796001477,299,299,299 +"432","IAR_LU_modified_topopro","desc lower intestine",30,0.69,0.029,0.00130999999999999,0.687430525963768,0.0307804802136506,0.00134224178512223,0.45,0.45,0.45,0.45,0.45,0.45,0.034881383748415,0.00435109517923348,0.000285141395291483,299,299,299 +"433","IAR_LU_modified_topopro","desc lower intestine",50,0.69,0.029,0.00130999999999999,0.68882550020859,0.0296002465080612,0.00131845643804882,0.45,0.45,0.45,0.45,0.45,0.45,0.021108774404765,0.00245881702573884,0.000168941986270638,299,299,299 +"434","IAR_LU_modified_topopro","desc lower intestine",100,0.69,0.029,0.00130999999999999,0.689905008576442,0.0290814784329489,0.00130724552097877,0.45,0.45,0.45,0.45,0.45,0.45,0.0109459088769035,0.00128325202245186,8.52549050746392e-05,299,299,299 +"435","IAR_LU_modified_topopro","desc lower intestine",200,0.69,0.029,0.00130999999999999,0.689751744779121,0.0290216740570109,0.0013089907890073,0.45,0.45,0.45,0.45,0.45,0.45,0.00548717282417963,0.000589834391459234,4.17737954558718e-05,299,299,299 +"436","IAR_LU_modified_topopro","esophagus",10,0.32,0.03,0.00167,0.39876956110176,0.0589814070669434,0.00154495884060334,0.45,0.45,0.45,0.45,0.45,0.45,0.12430125318799,0.0479175867701459,0.000520183815335352,299,299,299 +"437","IAR_LU_modified_topopro","esophagus",30,0.32,0.03,0.00167,0.331137849578811,0.036304172302409,0.00167359129711699,0.45,0.45,0.45,0.45,0.45,0.45,0.0398134298146838,0.0155082424171133,0.000162076063750134,299,299,299 +"438","IAR_LU_modified_topopro","esophagus",50,0.32,0.03,0.00167,0.327405269419602,0.0314901427095666,0.00166412350484893,0.45,0.45,0.45,0.45,0.45,0.45,0.0254080444897471,0.00699871142143743,9.8210672177201e-05,299,299,299 +"439","IAR_LU_modified_topopro","esophagus",100,0.32,0.03,0.00167,0.322246298345182,0.030139934603937,0.00166647722027377,0.45,0.45,0.45,0.45,0.45,0.45,0.0136466873079029,0.00246483857232014,4.90407475452791e-05,299,299,299 +"440","IAR_LU_modified_topopro","esophagus",200,0.32,0.03,0.00167,0.320259712656559,0.0300257280576744,0.00166896560228136,0.45,0.45,0.45,0.45,0.45,0.45,0.00704986122872663,0.00122038297753741,2.42249886138608e-05,299,299,299 +"441","IAR_LU_modified_topopro","esophagus cont",10,0.32,0.03,0.00167,0.39876956110176,0.0589814070669434,0.00154495884060334,0.45,0.45,0.45,0.45,0.45,0.45,0.12430125318799,0.0479175867701459,0.000520183815335352,299,299,299 +"442","IAR_LU_modified_topopro","esophagus cont",30,0.32,0.03,0.00167,0.331137849578811,0.036304172302409,0.00167359129711699,0.45,0.45,0.45,0.45,0.45,0.45,0.0398134298146838,0.0155082424171133,0.000162076063750134,299,299,299 +"443","IAR_LU_modified_topopro","esophagus cont",50,0.32,0.03,0.00167,0.327405269419602,0.0314901427095666,0.00166412350484893,0.45,0.45,0.45,0.45,0.45,0.45,0.0254080444897471,0.00699871142143743,9.8210672177201e-05,299,299,299 +"444","IAR_LU_modified_topopro","esophagus cont",100,0.32,0.03,0.00167,0.322246298345182,0.030139934603937,0.00166647722027377,0.45,0.45,0.45,0.45,0.45,0.45,0.0136466873079029,0.00246483857232014,4.90407475452791e-05,299,299,299 +"445","IAR_LU_modified_topopro","esophagus cont",200,0.32,0.03,0.00167,0.320259712656559,0.0300257280576744,0.00166896560228136,0.45,0.45,0.45,0.45,0.45,0.45,0.00704986122872663,0.00122038297753741,2.42249886138608e-05,299,299,299 +"446","IAR_LU_modified_topopro","gall bladder",10,0,0.1,0.00299999999999999,0.24463813834262,0.0715744523647731,0.0024344748998339,0.45,0.45,0.45,0.45,0.45,0.45,0.232619225484862,0.0662070006489899,0.000861891263024233,299,299,299 +"447","IAR_LU_modified_topopro","gall bladder",30,0,0.1,0.00299999999999999,0.103556227222772,0.0572354948038938,0.00282131799066419,0.45,0.45,0.45,0.45,0.45,0.45,0.157529442548738,0.0624129712015792,0.000384764384570535,299,299,299 +"448","IAR_LU_modified_topopro","gall bladder",50,0,0.1,0.00299999999999999,0.0620914996003726,0.0532315559949687,0.00291500536751879,0.45,0.45,0.45,0.45,0.45,0.45,0.100154957254696,0.0589550012569183,0.000244058035133014,299,299,299 +"449","IAR_LU_modified_topopro","gall bladder",100,0,0.1,0.00299999999999999,0.032562812610831,0.0522723005444425,0.00295633845601235,0.45,0.45,0.45,0.45,0.45,0.45,0.0557625353862,0.0568046272194618,0.000106073261989595,299,299,299 +"450","IAR_LU_modified_topopro","gall bladder",200,0,0.1,0.00299999999999999,0.0205331920558692,0.0511454015851106,0.00297125486904009,0.45,0.45,0.45,0.45,0.45,0.45,0.0352287270763925,0.0545812544174851,5.07542058311257e-05,299,299,299 +"451","IAR_LU_modified_topopro","Left kidney cortex",10,0.097,0.02,0.00212,0.275879760198796,0.0642623588071875,0.00181750745642748,0.45,0.45,0.45,0.45,0.45,0.45,0.185636096903067,0.0619577607804464,0.000603294190070171,299,299,299 +"452","IAR_LU_modified_topopro","Left kidney cortex",30,0.097,0.02,0.00212,0.159436749159631,0.0469348105973253,0.00203288915442743,0.45,0.45,0.45,0.45,0.45,0.45,0.100142398233387,0.0483836039095357,0.000246305038835589,299,299,299 +"453","IAR_LU_modified_topopro","Left kidney cortex",50,0.097,0.02,0.00212,0.125434307488605,0.0365494965007194,0.00207999886787401,0.45,0.45,0.45,0.45,0.45,0.45,0.0654540852835635,0.0346957474108831,0.000143494536008623,299,299,299 +"454","IAR_LU_modified_topopro","Left kidney cortex",100,0.097,0.02,0.00212,0.105310501866794,0.0241322303399197,0.00211013177332686,0.45,0.45,0.45,0.45,0.45,0.45,0.0231278340590651,0.0133327959130772,6.11226472762704e-05,299,299,299 +"455","IAR_LU_modified_topopro","Left kidney cortex",200,0.097,0.02,0.00212,0.100113058380308,0.0204321790737277,0.00211637119224563,0.45,0.45,0.45,0.45,0.45,0.45,0.0114321842012663,0.00367880504189419,2.87545709742803e-05,299,299,299 +"456","IAR_LU_modified_topopro","left kidney medulla",10,0.158,0.019,0.00209,0.318917416065618,0.0621095618305791,0.00178860003008236,0.45,0.45,0.45,0.45,0.45,0.45,0.189533101093446,0.0605375761371206,0.000660410162191124,299,299,299 +"457","IAR_LU_modified_topopro","left kidney medulla",30,0.158,0.019,0.00209,0.190749445565337,0.0372477326924959,0.00205053039921333,0.45,0.45,0.45,0.45,0.45,0.45,0.0808031451501109,0.0349133393996595,0.000222453870555396,299,299,299 +"458","IAR_LU_modified_topopro","left kidney medulla",50,0.158,0.019,0.00209,0.169372881342249,0.0278857998036769,0.00208326297404402,0.45,0.45,0.45,0.45,0.45,0.45,0.0433670931193238,0.0211177357401279,0.000122938979359554,299,299,299 +"459","IAR_LU_modified_topopro","left kidney medulla",100,0.158,0.019,0.00209,0.162374703281902,0.0207809712688809,0.0020894910923204,0.45,0.45,0.45,0.45,0.45,0.45,0.0230383307862557,0.005620650702712,6.52475984704075e-05,299,299,299 +"460","IAR_LU_modified_topopro","left kidney medulla",200,0.158,0.019,0.00209,0.159988751798143,0.0191680232180677,0.00208790626332965,0.45,0.45,0.45,0.45,0.45,0.45,0.0118001572678388,0.00212506778893592,3.1957301785576e-05,299,299,299 +"461","IAR_LU_modified_topopro","Liver",10,0.11,0.1,0.0015,0.255827144238669,0.0957949328224053,0.00130092643991093,0.45,0.45,0.45,0.45,0.45,0.45,0.133644073612816,0.0684386590799032,0.000379476628758943,299,299,299 +"462","IAR_LU_modified_topopro","Liver",30,0.11,0.1,0.0015,0.133802596180871,0.121405497015874,0.00147252862365529,0.45,0.45,0.45,0.45,0.45,0.45,0.0323313786170407,0.0504511851101522,8.92081827197948e-05,299,299,299 +"463","IAR_LU_modified_topopro","Liver",50,0.11,0.1,0.0015,0.118729927642186,0.11773946935276,0.00148881545258651,0.45,0.45,0.45,0.45,0.45,0.45,0.0167411687834778,0.0426333639052342,4.73600868068698e-05,299,299,299 +"464","IAR_LU_modified_topopro","Liver",100,0.11,0.1,0.0015,0.112266606855168,0.105433216396753,0.00149419894599423,0.45,0.45,0.45,0.45,0.45,0.45,0.00902108432024771,0.030662316383553,2.42747200177698e-05,299,299,299 +"465","IAR_LU_modified_topopro","Liver",200,0.11,0.1,0.0015,0.110995126491855,0.0973924440504551,0.00149623920986603,0.45,0.45,0.45,0.45,0.45,0.45,0.00518590399827883,0.0106183419451747,1.20619999134246e-05,299,299,299 +"466","IAR_LU_modified_topopro","muscle",10,0.1,0.0263,0.00137,0.259444386023899,0.0691119633088129,0.00118657075504632,0.45,0.45,0.45,0.45,0.45,0.45,0.138530044921222,0.0645735471065145,0.000363997983991802,299,299,299 +"467","IAR_LU_modified_topopro","muscle",30,0.1,0.0263,0.00137,0.138345031346876,0.0532301532839229,0.00133446595006018,0.45,0.45,0.45,0.45,0.45,0.45,0.0517241585532601,0.0466387793053175,0.000117240429897467,299,299,299 +"468","IAR_LU_modified_topopro","muscle",50,0.1,0.0263,0.00137,0.114727963543497,0.0419658562805755,0.00136007069095376,0.45,0.45,0.45,0.45,0.45,0.45,0.025923826546463,0.0305080879813607,6.25253128705349e-05,299,299,299 +"469","IAR_LU_modified_topopro","muscle",100,0.1,0.0263,0.00137,0.105775075313815,0.0304151202899665,0.00136515150080258,0.45,0.45,0.45,0.45,0.45,0.45,0.013460998990655,0.0119730117302862,3.3160203987582e-05,299,299,299 +"470","IAR_LU_modified_topopro","muscle",200,0.1,0.0263,0.00137,0.102360442322011,0.0267350329651102,0.00136658494550788,0.45,0.45,0.45,0.45,0.45,0.45,0.00723896883017193,0.00379780816363925,1.63858508109783e-05,299,299,299 +"471","IAR_LU_modified_topopro","Myocardium LV",10,0.15,0.08,0.00239999999999999,0.306932349550584,0.0942016676616456,0.00202633549743713,0.45,0.45,0.45,0.45,0.45,0.45,0.166822823056749,0.065653479211976,0.000647455394529268,299,299,299 +"472","IAR_LU_modified_topopro","Myocardium LV",30,0.15,0.08,0.00239999999999999,0.169875282625053,0.104830528033606,0.0023656873892725,0.45,0.45,0.45,0.45,0.45,0.45,0.03863489825513,0.0468903366409039,0.000156143847548033,299,299,299 +"473","IAR_LU_modified_topopro","Myocardium LV",50,0.15,0.08,0.00239999999999999,0.157558441279205,0.090966372080129,0.00238707160109057,0.45,0.45,0.45,0.45,0.45,0.45,0.0195265366539115,0.0340053946324938,8.62881566078499e-05,299,299,299 +"474","IAR_LU_modified_topopro","Myocardium LV",100,0.15,0.08,0.00239999999999999,0.151742057391678,0.0813810867067121,0.0023961331413006,0.45,0.45,0.45,0.45,0.45,0.45,0.0104964603256254,0.01461052557773,4.3298799647631e-05,299,299,299 +"475","IAR_LU_modified_topopro","Myocardium LV",200,0.15,0.08,0.00239999999999999,0.150182175628231,0.0804860643019809,0.0023987486908659,0.45,0.45,0.45,0.45,0.45,0.45,0.0055073258329819,0.00694402616501933,2.18580997377656e-05,299,299,299 +"476","IAR_LU_modified_topopro","myocardium ra",10,0.07,0.07,0.00149999999999999,0.233467652376252,0.0757549348382892,0.00130183095317809,0.45,0.45,0.45,0.45,0.45,0.45,0.134413786825152,0.0663916049341226,0.00036456632502805,299,299,299 +"477","IAR_LU_modified_topopro","myocardium ra",30,0.07,0.07,0.00149999999999999,0.108690733819626,0.0964478538979324,0.00145685915377587,0.45,0.45,0.45,0.45,0.45,0.45,0.0440918344433196,0.0598345377779436,0.000103679654217943,299,299,299 +"478","IAR_LU_modified_topopro","myocardium ra",50,0.07,0.07,0.00149999999999999,0.0855701271704244,0.0971057458397761,0.00148266198734644,0.45,0.45,0.45,0.45,0.45,0.45,0.0207288138349752,0.0500086628110504,5.42345357167229e-05,299,299,299 +"479","IAR_LU_modified_topopro","myocardium ra",100,0.07,0.07,0.00149999999999999,0.0744858114319495,0.0811157082573561,0.0014950388342051,0.45,0.45,0.45,0.45,0.45,0.45,0.00996209611990959,0.0323749288500509,2.60287178362972e-05,299,299,299 +"480","IAR_LU_modified_topopro","myocardium ra",200,0.07,0.07,0.00149999999999999,0.0709479243055684,0.0715088094998693,0.00149800504553121,0.45,0.45,0.45,0.45,0.45,0.45,0.00540628456160293,0.0135718717366094,1.28451037525036e-05,299,299,299 +"481","IAR_LU_modified_topopro","myocardium RV",10,0.15,0.08,0.0024,0.306954852656124,0.0943009987827146,0.00202784262785305,0.45,0.45,0.45,0.45,0.45,0.45,0.165573396841783,0.065781153268606,0.000643267096890125,299,299,299 +"482","IAR_LU_modified_topopro","myocardium RV",30,0.15,0.08,0.0024,0.169757489610859,0.10488807783077,0.00236635931265902,0.45,0.45,0.45,0.45,0.45,0.45,0.0385001014665415,0.0467473435871219,0.000156089122595165,299,299,299 +"483","IAR_LU_modified_topopro","myocardium RV",50,0.15,0.08,0.0024,0.157582473207419,0.0909293847910689,0.00238707119337443,0.45,0.45,0.45,0.45,0.45,0.45,0.0195579333675529,0.0339628137746176,8.62803715047694e-05,299,299,299 +"484","IAR_LU_modified_topopro","myocardium RV",100,0.15,0.08,0.0024,0.151716774259533,0.0816144176516515,0.002396175011365,0.45,0.45,0.45,0.45,0.45,0.45,0.0104863901246036,0.0157070807330071,4.33034596143587e-05,299,299,299 +"485","IAR_LU_modified_topopro","myocardium RV",200,0.15,0.08,0.0024,0.150182177448741,0.0804860661827032,0.0023987486740328,0.45,0.45,0.45,0.45,0.45,0.45,0.00550732604342893,0.00694404313739923,2.18581503502004e-05,299,299,299 +"486","IAR_LU_modified_topopro","pancreas",10,0.15,0.00999999999999999,0.00129999999999999,0.279861187663478,0.0552584942563428,0.00116617379111962,0.45,0.45,0.45,0.45,0.45,0.45,0.154036258541137,0.0602973357178472,0.000411467460473712,299,299,299 +"487","IAR_LU_modified_topopro","pancreas",30,0.15,0.00999999999999999,0.00129999999999999,0.179869114162136,0.0283848962691294,0.00128283675613699,0.45,0.45,0.45,0.45,0.45,0.45,0.0757585136984312,0.0373028844924722,0.000156396604620515,299,299,299 +"488","IAR_LU_modified_topopro","pancreas",50,0.15,0.00999999999999999,0.00129999999999999,0.160824252542783,0.0172496749082598,0.00130057811086205,0.45,0.45,0.45,0.45,0.45,0.45,0.0519241290191096,0.0152073161889372,0.000103061019466423,299,299,299 +"489","IAR_LU_modified_topopro","pancreas",100,0.15,0.00999999999999999,0.00129999999999999,0.155178278859097,0.0120005991985372,0.00129917565952393,0.45,0.45,0.45,0.45,0.45,0.45,0.0336373678070712,0.00445614864800956,6.45613376602287e-05,299,299,299 +"490","IAR_LU_modified_topopro","pancreas",200,0.15,0.00999999999999999,0.00129999999999999,0.155264016646111,0.010143271945648,0.0012927574744764,0.45,0.45,0.45,0.45,0.45,0.45,0.0171610632121582,0.00153402842985975,3.22505004120502e-05,299,299,299 +"491","IAR_LU_modified_topopro","pericardium",10,0.07,0.01,0.003,0.304639383008222,0.0624778502339488,0.00235309384550478,0.45,0.45,0.45,0.45,0.45,0.45,0.260716817058418,0.0632053163986883,0.000992729252619561,299,299,299 +"492","IAR_LU_modified_topopro","pericardium",30,0.07,0.01,0.003,0.166187714183791,0.0520324599631977,0.00286371338272453,0.45,0.45,0.45,0.45,0.45,0.45,0.189672151398627,0.0594869269000105,0.000530898699217813,299,299,299 +"493","IAR_LU_modified_topopro","pericardium",50,0.07,0.01,0.003,0.146546123544186,0.0423930944023381,0.0029229033784266,0.45,0.45,0.45,0.45,0.45,0.45,0.165489487326917,0.0520115128988691,0.000416631880744187,299,299,299 +"494","IAR_LU_modified_topopro","pericardium",100,0.07,0.01,0.003,0.137486804235713,0.0273971553805849,0.00291520134136848,0.45,0.45,0.45,0.45,0.45,0.45,0.129648732889001,0.0405870276973079,0.00022082592999705,299,299,299 +"495","IAR_LU_modified_topopro","pericardium",200,0.07,0.01,0.003,0.107099299942197,0.0141156022466629,0.00295254376641754,0.45,0.45,0.45,0.45,0.45,0.45,0.0851426589063334,0.015488412790377,0.000134298637256242,299,299,299 +"496","IAR_LU_modified_topopro","right kidney medulla",10,0.158,0.019,0.00209,0.318917416065618,0.0621095618305791,0.00178860003008236,0.45,0.45,0.45,0.45,0.45,0.45,0.189533101093446,0.0605375761371206,0.000660410162191124,299,299,299 +"497","IAR_LU_modified_topopro","right kidney medulla",30,0.158,0.019,0.00209,0.190749445565337,0.0372477326924959,0.00205053039921333,0.45,0.45,0.45,0.45,0.45,0.45,0.0808031451501109,0.0349133393996595,0.000222453870555396,299,299,299 +"498","IAR_LU_modified_topopro","right kidney medulla",50,0.158,0.019,0.00209,0.169372881342249,0.0278857998036769,0.00208326297404402,0.45,0.45,0.45,0.45,0.45,0.45,0.0433670931193238,0.0211177357401279,0.000122938979359554,299,299,299 +"499","IAR_LU_modified_topopro","right kidney medulla",100,0.158,0.019,0.00209,0.162374703281902,0.0207809712688809,0.0020894910923204,0.45,0.45,0.45,0.45,0.45,0.45,0.0230383307862557,0.005620650702712,6.52475984704075e-05,299,299,299 +"500","IAR_LU_modified_topopro","right kidney medulla",200,0.158,0.019,0.00209,0.159988751798143,0.0191680232180677,0.00208790626332965,0.45,0.45,0.45,0.45,0.45,0.45,0.0118001572678388,0.00212506778893592,3.1957301785576e-05,299,299,299 +"501","IAR_LU_modified_topopro","Right kydney cortex",10,0.097,0.02,0.00212,0.275879760198796,0.0642623588071875,0.00181750745642748,0.45,0.45,0.45,0.45,0.45,0.45,0.185636096903067,0.0619577607804464,0.000603294190070171,299,299,299 +"502","IAR_LU_modified_topopro","Right kydney cortex",30,0.097,0.02,0.00212,0.159436749159631,0.0469348105973253,0.00203288915442743,0.45,0.45,0.45,0.45,0.45,0.45,0.100142398233387,0.0483836039095357,0.000246305038835589,299,299,299 +"503","IAR_LU_modified_topopro","Right kydney cortex",50,0.097,0.02,0.00212,0.125434307488605,0.0365494965007194,0.00207999886787401,0.45,0.45,0.45,0.45,0.45,0.45,0.0654540852835635,0.0346957474108831,0.000143494536008623,299,299,299 +"504","IAR_LU_modified_topopro","Right kydney cortex",100,0.097,0.02,0.00212,0.105310501866794,0.0241322303399197,0.00211013177332686,0.45,0.45,0.45,0.45,0.45,0.45,0.0231278340590651,0.0133327959130772,6.11226472762704e-05,299,299,299 +"505","IAR_LU_modified_topopro","Right kydney cortex",200,0.097,0.02,0.00212,0.100113058380308,0.0204321790737277,0.00211637119224563,0.45,0.45,0.45,0.45,0.45,0.45,0.0114321842012663,0.00367880504189419,2.87545709742803e-05,299,299,299 +"506","IAR_LU_modified_topopro","small intestine",10,0.69,0.029,0.00130999999999999,0.693325254852289,0.0415198687436721,0.00128312017815678,0.45,0.45,0.45,0.45,0.45,0.45,0.0966221098587959,0.0236585961657644,0.000820430183119967,299,299,299 +"507","IAR_LU_modified_topopro","small intestine",30,0.69,0.029,0.00130999999999999,0.68744577281787,0.0307833210540855,0.00134069392184898,0.45,0.45,0.45,0.45,0.45,0.45,0.0350234425493793,0.00431070048356409,0.000283979991344629,299,299,299 +"508","IAR_LU_modified_topopro","small intestine",50,0.69,0.029,0.00130999999999999,0.689075943041515,0.0295564457692295,0.00131813761832569,0.45,0.45,0.45,0.45,0.45,0.45,0.02164604823612,0.00247966057144416,0.00017114908584547,299,299,299 +"509","IAR_LU_modified_topopro","small intestine",100,0.69,0.029,0.00130999999999999,0.689763953276804,0.0290911342672818,0.00130785940651619,0.45,0.45,0.45,0.45,0.45,0.45,0.0110192252980382,0.00130105484517951,8.56161936843143e-05,299,299,299 +"510","IAR_LU_modified_topopro","small intestine",200,0.69,0.029,0.00130999999999999,0.689862817142384,0.0290142627831411,0.00130812436950337,0.45,0.45,0.45,0.45,0.45,0.45,0.00542301397659975,0.000584144525218756,4.1411506439068e-05,299,299,299 +"511","IAR_LU_modified_topopro","spinal cord",10,0.178,0.0289,0.00040999999999999,0.293641520675309,0.0537768006320036,0.000319976993690979,0.45,0.45,0.45,0.45,0.45,0.45,0.085130038579231,0.0460405890862106,0.000183573912691786,299,299,299 +"512","IAR_LU_modified_topopro","spinal cord",30,0.178,0.0289,0.00040999999999999,0.19647282610166,0.0424120148047873,0.000411631440357003,0.45,0.45,0.45,0.45,0.45,0.45,0.0301976109948418,0.0226883259094589,5.95428936899149e-05,299,299,299 +"513","IAR_LU_modified_topopro","spinal cord",50,0.178,0.0289,0.00040999999999999,0.188335499310391,0.033887916431476,0.000409478031931762,0.45,0.45,0.45,0.45,0.45,0.45,0.0188724266676384,0.0129442027181414,3.78842606154711e-05,299,299,299 +"514","IAR_LU_modified_topopro","spinal cord",100,0.178,0.0289,0.00040999999999999,0.182515205599362,0.029293746920481,0.000408080683794195,0.45,0.45,0.45,0.45,0.45,0.45,0.0106099532203453,0.00438943322810685,1.88528617069661e-05,299,299,299 +"515","IAR_LU_modified_topopro","spinal cord",200,0.178,0.0289,0.00040999999999999,0.179021684135992,0.0289489529069488,0.000409417047242544,0.45,0.45,0.45,0.45,0.45,0.45,0.00530141374329393,0.00180275696961895,8.97524750077322e-06,299,299,299 +"516","IAR_LU_modified_topopro","spleen",10,0.2,0.03,0.00129999999999999,0.320511835455689,0.0632993889447063,0.00114587454317371,0.45,0.45,0.45,0.45,0.45,0.45,0.128424485313403,0.054299118937421,0.000390454310560983,299,299,299 +"517","IAR_LU_modified_topopro","spleen",30,0.2,0.03,0.00129999999999999,0.215213507464774,0.0445127969778473,0.00130468964783014,0.45,0.45,0.45,0.45,0.45,0.45,0.0368450330190479,0.0266995710785723,0.000105777338104871,299,299,299 +"518","IAR_LU_modified_topopro","spleen",50,0.2,0.03,0.00129999999999999,0.209003795214493,0.0348935275652794,0.00129906859537155,0.45,0.45,0.45,0.45,0.45,0.45,0.023183474482477,0.0134122101404731,6.62035379517133e-05,299,299,299 +"519","IAR_LU_modified_topopro","spleen",100,0.2,0.03,0.00129999999999999,0.204196249439947,0.0304239526759463,0.00129586859330749,0.45,0.45,0.45,0.45,0.45,0.45,0.0129402658728804,0.004657296435482,3.3842794920946e-05,299,299,299 +"520","IAR_LU_modified_topopro","spleen",200,0.2,0.03,0.00129999999999999,0.200837443578398,0.0300524290047721,0.00129816557167441,0.45,0.45,0.45,0.45,0.45,0.45,0.00654537383560649,0.00186545392341432,1.63265979340193e-05,299,299,299 +"521","IAR_LU_modified_topopro","st wall",10,0.3,0.012,0.0015,0.40033705099783,0.0414340134011444,0.00132595069151265,0.45,0.45,0.45,0.45,0.45,0.45,0.181012596248588,0.0489138149711052,0.000604289436704918,299,299,299 +"522","IAR_LU_modified_topopro","st wall",30,0.3,0.012,0.0015,0.304713745610107,0.0190235613566339,0.00152539054096746,0.45,0.45,0.45,0.45,0.45,0.45,0.0844265361576913,0.0160143182306222,0.000235282531941292,299,299,299 +"523","IAR_LU_modified_topopro","st wall",50,0.3,0.012,0.0015,0.30317433511274,0.0143867000736143,0.00151562862032576,0.45,0.45,0.45,0.45,0.45,0.45,0.0569248322603967,0.00517083339338826,0.000151040306380225,299,299,299 +"524","IAR_LU_modified_topopro","st wall",100,0.3,0.012,0.0015,0.305117152412925,0.0122709955039034,0.00149764604357286,0.45,0.45,0.45,0.45,0.45,0.45,0.0274517866933225,0.00175825716792228,7.16701290638054e-05,299,299,299 +"525","IAR_LU_modified_topopro","st wall",200,0.3,0.012,0.0015,0.301905600178149,0.0120190405582349,0.00149806275777864,0.45,0.45,0.45,0.45,0.45,0.45,0.0140044183080562,0.000702245371546555,3.49957357577247e-05,299,299,299 +"526","IAR_LU_modified_topopro","Stomach Contents",10,0,0,0.003,0.245619135816615,0.0716640487236405,0.00242818779105456,0.45,0.45,0.45,0.45,0.45,0.45,0.23500481550541,0.0662465952808792,0.000870793764741877,299,299,299 +"527","IAR_LU_modified_topopro","Stomach Contents",30,0,0,0.003,0.10136343196641,0.0575023135263143,0.00283039964518524,0.45,0.45,0.45,0.45,0.45,0.45,0.156084008184339,0.0625640677254194,0.000402302111495684,299,299,299 +"528","IAR_LU_modified_topopro","Stomach Contents",50,0,0,0.003,0.0598418682728,0.0531026219307087,0.00293781228329995,0.45,0.45,0.45,0.45,0.45,0.45,0.0924389785258414,0.0590141689950332,0.000258672213242562,299,299,299 +"529","IAR_LU_modified_topopro","Stomach Contents",100,0,0,0.003,0.0316021071560544,0.0521734109325807,0.00295987830371743,0.45,0.45,0.45,0.45,0.45,0.45,0.0537542752867883,0.0568022852253987,0.000107195008349241,299,299,299 +"530","IAR_LU_modified_topopro","Stomach Contents",200,0,0,0.003,0.020362908138273,0.0512363139356801,0.00297156870276269,0.45,0.45,0.45,0.45,0.45,0.45,0.0356039825283238,0.0545673774095304,5.10534943085098e-05,299,299,299 +"531","IAR_LU_modified_topopro","trans lower intestine",10,0.69,0.029,0.00130999999999999,0.693178885237798,0.0415791676918557,0.0012877057786336,0.45,0.45,0.45,0.45,0.45,0.45,0.0968563027027587,0.0237449984222352,0.000825061448241474,299,299,299 +"532","IAR_LU_modified_topopro","trans lower intestine",30,0.69,0.029,0.00130999999999999,0.687355419209049,0.0307945973352347,0.00134083836319301,0.45,0.45,0.45,0.45,0.45,0.45,0.0346999752926432,0.00430590939666401,0.000281486176019419,299,299,299 +"533","IAR_LU_modified_topopro","trans lower intestine",50,0.69,0.029,0.00130999999999999,0.688922163392087,0.0295911195710815,0.00131794686365502,0.45,0.45,0.45,0.45,0.45,0.45,0.0211777668762992,0.0024591080293894,0.000167887957689605,299,299,299 +"534","IAR_LU_modified_topopro","trans lower intestine",100,0.69,0.029,0.00130999999999999,0.689976252210824,0.0290643775264531,0.00130712971409723,0.45,0.45,0.45,0.45,0.45,0.45,0.0111596605740458,0.00127230067708064,8.6055448007924e-05,299,299,299 +"535","IAR_LU_modified_topopro","trans lower intestine",200,0.69,0.029,0.00130999999999999,0.689888170406535,0.0290018785916859,0.00130847256340122,0.45,0.45,0.45,0.45,0.45,0.45,0.00546502050565497,0.000593775344251464,4.23249708031501e-05,299,299,299 +"536","IAR_LU_modified_topopro","Vein",10,1,0.1,0.003,0.920340948544868,0.125267602952588,0.000182829755987327,0.45,0.45,0.45,0.45,0.45,0.45,0.0225948248460019,0.0244450623949952,0.000583405196732458,299,299,299 +"537","IAR_LU_modified_topopro","Vein",30,1,0.1,0.003,0.974304007878179,0.106099271208312,0.00017739920965156,0.45,0.45,0.45,0.45,0.45,0.45,0.0074896310418671,0.00829547616520967,0.000678898150509279,299,299,299 +"538","IAR_LU_modified_topopro","Vein",50,1,0.1,0.003,0.984941554598225,0.103360680622716,0.000155910848324994,0.45,0.45,0.45,0.45,0.45,0.45,0.00447571056831266,0.00495498786932744,0.000644242026928185,299,299,299 +"539","IAR_LU_modified_topopro","Vein",100,1,0.1,0.003,0.992841725680271,0.101349324298109,0.000128757028592843,0.45,0.45,0.45,0.45,0.45,0.45,0.00221528819623711,0.0024839226995908,0.000596162110415501,299,299,299 +"540","IAR_LU_modified_topopro","Vein",200,1,0.1,0.003,0.996733416187604,0.100300502391623,0.000119817078027757,0.45,0.45,0.45,0.45,0.45,0.45,0.00117146069783939,0.00100883111028152,0.000632413732960071,299,299,299 +"541","IAR_LU_segmented_2step","Artery",10,1,0.1,0.00299999999999999,0.921258294041451,0.0983174229518652,0.000602377539349993,0.45,0.45,0.45,0.45,0.45,0.45,0.0258235599804078,0.00488173576584753,0.000954240122983693,299,299,299 +"542","IAR_LU_segmented_2step","Artery",30,1,0.1,0.00299999999999999,0.976019933219864,0.0994829647762301,0.00060239305244365,0.45,0.45,0.45,0.45,0.45,0.45,0.00833101268219634,0.00160385964996264,0.000954268289514292,299,299,299 +"543","IAR_LU_segmented_2step","Artery",50,1,0.1,0.00299999999999999,0.98599487225535,0.0996813109863689,0.000602405603200741,0.45,0.45,0.45,0.45,0.45,0.45,0.00494309800733521,0.000986358091235049,0.000954266532348308,299,299,299 +"544","IAR_LU_segmented_2step","Artery",100,1,0.1,0.00299999999999999,0.993268900338893,0.0998299735833625,0.000602442811986694,0.45,0.45,0.45,0.45,0.45,0.45,0.00241285763280533,0.000513921040446995,0.000954286483399826,299,299,299 +"545","IAR_LU_segmented_2step","Artery",200,1,0.1,0.00299999999999999,0.996782474408809,0.0999083722402424,0.000602417326124585,0.45,0.45,0.45,0.45,0.45,0.45,0.00119135923054532,0.000267557047285326,0.000954060412685357,299,299,299 +"546","IAR_LU_segmented_2step","asc lower intestine",10,0.69,0.029,0.00131,0.690373035666606,0.0320610845885393,0.00128397090175435,0.45,0.45,0.45,0.45,0.45,0.45,0.111830765362211,0.0149363990053779,0.0010310750352814,299,299,299 +"547","IAR_LU_segmented_2step","asc lower intestine",30,0.69,0.029,0.00131,0.688190385603529,0.0294222676861157,0.00132700874616123,0.45,0.45,0.45,0.45,0.45,0.45,0.044873463770973,0.00411936458296414,0.000393814792063893,299,299,299 +"548","IAR_LU_segmented_2step","asc lower intestine",50,0.69,0.029,0.00131,0.688983137070326,0.029173687120148,0.00131674147785283,0.45,0.45,0.45,0.45,0.45,0.45,0.0269406505170444,0.00243185752478955,0.000231513954749497,299,299,299 +"549","IAR_LU_segmented_2step","asc lower intestine",100,0.69,0.029,0.00131,0.689404252987088,0.0290661630926625,0.00131311787679812,0.45,0.45,0.45,0.45,0.45,0.45,0.013474536710725,0.00120919315587798,0.000114727932084214,299,299,299 +"550","IAR_LU_segmented_2step","asc lower intestine",200,0.69,0.029,0.00131,0.689565491156803,0.0290364333707652,0.00131259560662869,0.45,0.45,0.45,0.45,0.45,0.45,0.00673757580631575,0.000603840896571558,5.72226395519967e-05,299,299,299 +"551","IAR_LU_segmented_2step","Blood RA",10,1,0.1,0.00299999999999999,0.921258294041451,0.0983174229518652,0.000602377539349993,0.45,0.45,0.45,0.45,0.45,0.45,0.0258235599804078,0.00488173576584753,0.000954240122983693,299,299,299 +"552","IAR_LU_segmented_2step","Blood RA",30,1,0.1,0.00299999999999999,0.976019933219864,0.0994829647762301,0.00060239305244365,0.45,0.45,0.45,0.45,0.45,0.45,0.00833101268219634,0.00160385964996264,0.000954268289514292,299,299,299 +"553","IAR_LU_segmented_2step","Blood RA",50,1,0.1,0.00299999999999999,0.98599487225535,0.0996813109863689,0.000602405603200741,0.45,0.45,0.45,0.45,0.45,0.45,0.00494309800733521,0.000986358091235049,0.000954266532348308,299,299,299 +"554","IAR_LU_segmented_2step","Blood RA",100,1,0.1,0.00299999999999999,0.993268900338893,0.0998299735833625,0.000602442811986694,0.45,0.45,0.45,0.45,0.45,0.45,0.00241285763280533,0.000513921040446995,0.000954286483399826,299,299,299 +"555","IAR_LU_segmented_2step","Blood RA",200,1,0.1,0.00299999999999999,0.996782474408809,0.0999083722402424,0.000602417326124585,0.45,0.45,0.45,0.45,0.45,0.45,0.00119135923054532,0.000267557047285326,0.000954060412685357,299,299,299 +"556","IAR_LU_segmented_2step","Blood RV",10,1,0.1,0.003,0.921258294005175,0.0983174229498556,0.000602377539314825,0.45,0.45,0.45,0.45,0.45,0.45,0.0258235599273312,0.0048817357689704,0.000954240122896554,299,299,299 +"557","IAR_LU_segmented_2step","Blood RV",30,1,0.1,0.003,0.976019933224227,0.0994829647759296,0.000602393052438452,0.45,0.45,0.45,0.45,0.45,0.45,0.0083310126686943,0.0016038596496585,0.000954268289514534,299,299,299 +"558","IAR_LU_segmented_2step","Blood RV",50,1,0.1,0.003,0.985994872256549,0.0996813109859528,0.000602405603200741,0.45,0.45,0.45,0.45,0.45,0.45,0.00494309801013262,0.000986358092526008,0.000954266532348308,299,299,299 +"559","IAR_LU_segmented_2step","Blood RV",100,1,0.1,0.003,0.993268900338895,0.0998299735833862,0.000602442811986694,0.45,0.45,0.45,0.45,0.45,0.45,0.00241285763266283,0.00051392104017594,0.000954286483399826,299,299,299 +"560","IAR_LU_segmented_2step","Blood RV",200,1,0.1,0.003,0.996782474408774,0.0999083722401707,0.000602417326124585,0.45,0.45,0.45,0.45,0.45,0.45,0.00119135923032626,0.000267557047652887,0.000954060412685357,299,299,299 +"561","IAR_LU_segmented_2step","Bone Marrow",10,0.145,0.05,0.00042999999999999,0.15751564550283,0.0543269875867202,0.000431545915444662,0.45,0.45,0.45,0.45,0.45,0.45,0.0907285999276192,0.0381949668711804,0.000222191156179115,299,299,299 +"562","IAR_LU_segmented_2step","Bone Marrow",30,0.145,0.05,0.00042999999999999,0.14681450023119,0.0542998736416971,0.0004286448604233,0.45,0.45,0.45,0.45,0.45,0.45,0.0304089634699045,0.0257382022199141,7.57695024101959e-05,299,299,299 +"563","IAR_LU_segmented_2step","Bone Marrow",50,0.145,0.05,0.00042999999999999,0.145556063833727,0.0524837924166925,0.000429098807658733,0.45,0.45,0.45,0.45,0.45,0.45,0.017850760404664,0.0178900225925357,4.54083167932052e-05,299,299,299 +"564","IAR_LU_segmented_2step","Bone Marrow",100,0.145,0.05,0.00042999999999999,0.145008919490146,0.0507450380727344,0.000429516608780042,0.45,0.45,0.45,0.45,0.45,0.45,0.00883033322618136,0.00903410605259031,2.26892914406058e-05,299,299,299 +"565","IAR_LU_segmented_2step","Bone Marrow",200,0.145,0.05,0.00042999999999999,0.144932108751546,0.0501889001563849,0.000429750333394438,0.45,0.45,0.45,0.45,0.45,0.45,0.00441150083388889,0.00429569116290744,1.13417514976531e-05,299,299,299 +"566","IAR_LU_segmented_2step","desc lower intestine",10,0.69,0.029,0.00130999999999999,0.690373035685537,0.0320610845863485,0.00128397090166206,0.45,0.45,0.45,0.45,0.45,0.45,0.111830765404589,0.0149363990094956,0.00103107503526023,299,299,299 +"567","IAR_LU_segmented_2step","desc lower intestine",30,0.69,0.029,0.00130999999999999,0.688190385605755,0.0294222676849187,0.00132700874618162,0.45,0.45,0.45,0.45,0.45,0.45,0.0448734637431261,0.00411936457939152,0.00039381479193991,299,299,299 +"568","IAR_LU_segmented_2step","desc lower intestine",50,0.69,0.029,0.00130999999999999,0.688983137069016,0.0291736871198692,0.00131674147787292,0.45,0.45,0.45,0.45,0.45,0.45,0.0269406505186065,0.00243185752453886,0.000231513954771782,299,299,299 +"569","IAR_LU_segmented_2step","desc lower intestine",100,0.69,0.029,0.00130999999999999,0.689404252985161,0.0290661630926869,0.00131311787677005,0.45,0.45,0.45,0.45,0.45,0.45,0.0134745367047868,0.00120919315580145,0.000114727932076757,299,299,299 +"570","IAR_LU_segmented_2step","desc lower intestine",200,0.69,0.029,0.00130999999999999,0.689565491157454,0.02903643337075,0.00131259560663063,0.45,0.45,0.45,0.45,0.45,0.45,0.00673757581010111,0.000603840896625872,5.72226395666639e-05,299,299,299 +"571","IAR_LU_segmented_2step","esophagus",10,0.32,0.03,0.00167,0.340586264121231,0.0395260494071896,0.00169537630340193,0.45,0.45,0.45,0.45,0.45,0.45,0.144394990154148,0.0289361368048327,0.000699310473361664,299,299,299 +"572","IAR_LU_segmented_2step","esophagus",30,0.32,0.03,0.00167,0.321987926980294,0.0319222092015146,0.00167589442415218,0.45,0.45,0.45,0.45,0.45,0.45,0.0506566198989458,0.0111320504818834,0.000225181332917282,299,299,299 +"573","IAR_LU_segmented_2step","esophagus",50,0.32,0.03,0.00167,0.320433792732933,0.0306484294133282,0.00167205798908611,0.45,0.45,0.45,0.45,0.45,0.45,0.0304006525724314,0.00593603845215884,0.000134201428086798,299,299,299 +"574","IAR_LU_segmented_2step","esophagus",100,0.32,0.03,0.00167,0.319848880169829,0.0301863498467473,0.00167069900566133,0.45,0.45,0.45,0.45,0.45,0.45,0.0151616073663897,0.00289360407024194,6.69010973711844e-05,299,299,299 +"575","IAR_LU_segmented_2step","esophagus",200,0.32,0.03,0.00167,0.319780244455514,0.0300697046344711,0.00167049624612484,0.45,0.45,0.45,0.45,0.45,0.45,0.00757222828544952,0.00144131399269454,3.34227717080463e-05,299,299,299 +"576","IAR_LU_segmented_2step","esophagus cont",10,0.32,0.03,0.00167,0.340586264121231,0.0395260494071896,0.00169537630340193,0.45,0.45,0.45,0.45,0.45,0.45,0.144394990154148,0.0289361368048327,0.000699310473361664,299,299,299 +"577","IAR_LU_segmented_2step","esophagus cont",30,0.32,0.03,0.00167,0.321987926980294,0.0319222092015146,0.00167589442415218,0.45,0.45,0.45,0.45,0.45,0.45,0.0506566198989458,0.0111320504818834,0.000225181332917282,299,299,299 +"578","IAR_LU_segmented_2step","esophagus cont",50,0.32,0.03,0.00167,0.320433792732933,0.0306484294133282,0.00167205798908611,0.45,0.45,0.45,0.45,0.45,0.45,0.0304006525724314,0.00593603845215884,0.000134201428086798,299,299,299 +"579","IAR_LU_segmented_2step","esophagus cont",100,0.32,0.03,0.00167,0.319848880169829,0.0301863498467473,0.00167069900566133,0.45,0.45,0.45,0.45,0.45,0.45,0.0151616073663897,0.00289360407024194,6.69010973711844e-05,299,299,299 +"580","IAR_LU_segmented_2step","esophagus cont",200,0.32,0.03,0.00167,0.319780244455514,0.0300697046344711,0.00167049624612484,0.45,0.45,0.45,0.45,0.45,0.45,0.00757222828544952,0.00144131399269454,3.34227717080463e-05,299,299,299 +"581","IAR_LU_segmented_2step","gall bladder",10,0,0.1,0.00299999999999999,0.179138580020307,0.0277736305882544,0.00276375862273174,0.45,0.45,0.45,0.45,0.45,0.45,0.213938789373423,0.0375604830731324,0.000846065838805673,299,299,299 +"582","IAR_LU_segmented_2step","gall bladder",30,0,0.1,0.00299999999999999,0.0639805373048764,0.0254086250844895,0.00301559949423452,0.45,0.45,0.45,0.45,0.45,0.45,0.095903339116454,0.0364501489168005,0.000365244593708125,299,299,299 +"583","IAR_LU_segmented_2step","gall bladder",50,0,0.1,0.00299999999999999,0.0412500498693871,0.0205998145880766,0.00300875829805823,0.45,0.45,0.45,0.45,0.45,0.45,0.0638410996090459,0.0324339756154192,0.0002205252334547,299,299,299 +"584","IAR_LU_segmented_2step","gall bladder",100,0,0.1,0.00299999999999999,0.0219736112680837,0.0175788798866212,0.00300272941236099,0.45,0.45,0.45,0.45,0.45,0.45,0.0349600982350241,0.0292917697170115,0.000109821675242164,299,299,299 +"585","IAR_LU_segmented_2step","gall bladder",200,0,0.1,0.00299999999999999,0.0114017377603194,0.014371038784803,0.00300093274818275,0.45,0.45,0.45,0.45,0.45,0.45,0.018391210355623,0.025021492081646,5.48683426903983e-05,299,299,299 +"586","IAR_LU_segmented_2step","Left kidney cortex",10,0.097,0.02,0.00212,0.170083391326229,0.0362607784128459,0.00214004719496282,0.45,0.45,0.45,0.45,0.45,0.45,0.168104195513681,0.0383928312387471,0.000693964401384033,299,299,299 +"587","IAR_LU_segmented_2step","Left kidney cortex",30,0.097,0.02,0.00212,0.112526750081267,0.0324422518181432,0.0021297407037008,0.45,0.45,0.45,0.45,0.45,0.45,0.071762920718918,0.0299939350792029,0.000230468547854172,299,299,299 +"588","IAR_LU_segmented_2step","Left kidney cortex",50,0.097,0.02,0.00212,0.10294341594501,0.0276749873194382,0.00212486470550974,0.45,0.45,0.45,0.45,0.45,0.45,0.0445721609688734,0.0223523515043956,0.000137434850582313,299,299,299 +"589","IAR_LU_segmented_2step","Left kidney cortex",100,0.097,0.02,0.00212,0.0979365844202808,0.0222618598591827,0.00212288817087808,0.45,0.45,0.45,0.45,0.45,0.45,0.0226855112845619,0.0094189431786872,6.85394294758574e-05,299,299,299 +"590","IAR_LU_segmented_2step","Left kidney cortex",200,0.097,0.02,0.00212,0.0965888281696063,0.0206966235189306,0.00212243012687663,0.45,0.45,0.45,0.45,0.45,0.45,0.0113984606619312,0.003773564449597,3.42474968787025e-05,299,299,299 +"591","IAR_LU_segmented_2step","left kidney medulla",10,0.158,0.019,0.00209,0.214897364750887,0.0349323808857953,0.00210934037383571,0.45,0.45,0.45,0.45,0.45,0.45,0.176570100929705,0.0357038663180629,0.000728386366312476,299,299,299 +"592","IAR_LU_segmented_2step","left kidney medulla",30,0.158,0.019,0.00209,0.1657109940179,0.0270906706245067,0.00210327080298252,0.45,0.45,0.45,0.45,0.45,0.45,0.0725100593788847,0.0225768947405185,0.000242646564228503,299,299,299 +"593","IAR_LU_segmented_2step","left kidney medulla",50,0.158,0.019,0.00209,0.159840360106385,0.0226243076257691,0.00209789750114162,0.45,0.45,0.45,0.45,0.45,0.45,0.0449934074887979,0.0129995305341982,0.000144591388188289,299,299,299 +"594","IAR_LU_segmented_2step","left kidney medulla",100,0.158,0.019,0.00209,0.157128036252483,0.0199765644524694,0.00209573127130611,0.45,0.45,0.45,0.45,0.45,0.45,0.0229312108930269,0.00451773115368034,7.20856679148625e-05,299,299,299 +"595","IAR_LU_segmented_2step","left kidney medulla",200,0.158,0.019,0.00209,0.156502788562749,0.01944662223736,0.00209523459722322,0.45,0.45,0.45,0.45,0.45,0.45,0.0115545577659798,0.00215365037568976,3.60164249883863e-05,299,299,299 +"596","IAR_LU_segmented_2step","Liver",10,0.11,0.1,0.0015,0.144577570411426,0.0600041637865293,0.00152084809188092,0.45,0.45,0.45,0.45,0.45,0.45,0.123335225696709,0.0417372816084262,0.000472993211159269,299,299,299 +"597","IAR_LU_segmented_2step","Liver",30,0.11,0.1,0.0015,0.112815078932074,0.0768823300474684,0.00150154707211704,0.45,0.45,0.45,0.45,0.45,0.45,0.0402419901201215,0.0310439867234663,0.000152137743344338,299,299,299 +"598","IAR_LU_segmented_2step","Liver",50,0.11,0.1,0.0015,0.1099576380775,0.0845663044192014,0.00150017699860271,0.45,0.45,0.45,0.45,0.45,0.45,0.0218836166694104,0.022477885458141,9.09784274199351e-05,299,299,299 +"599","IAR_LU_segmented_2step","Liver",100,0.11,0.1,0.0015,0.10944935129917,0.0916622252527853,0.00149980895512081,0.45,0.45,0.45,0.45,0.45,0.45,0.010208281089791,0.0124943171981403,4.54189474712779e-05,299,299,299 +"600","IAR_LU_segmented_2step","Liver",200,0.11,0.1,0.0015,0.109652146434559,0.0956035913947621,0.00149983471124947,0.45,0.45,0.45,0.45,0.45,0.45,0.00504024948517217,0.00673413090644371,2.26988859055568e-05,299,299,299 +"601","IAR_LU_segmented_2step","muscle",10,0.1,0.0263,0.00137,0.142138052570813,0.0417549247582482,0.00138731868382182,0.45,0.45,0.45,0.45,0.45,0.45,0.125982283021069,0.0390520902329777,0.000425998544182136,299,299,299 +"602","IAR_LU_segmented_2step","muscle",30,0.1,0.0263,0.00137,0.108498419182493,0.036146562678456,0.00137109207822908,0.45,0.45,0.45,0.45,0.45,0.45,0.0487106837056337,0.0282756567371088,0.000137401448295892,299,299,299 +"603","IAR_LU_segmented_2step","muscle",50,0.1,0.0263,0.00137,0.103266061862088,0.0317044580839336,0.00137018713612453,0.45,0.45,0.45,0.45,0.45,0.45,0.0291164063153898,0.0201301179731336,8.22067351758789e-05,299,299,299 +"604","IAR_LU_segmented_2step","muscle",100,0.1,0.0263,0.00137,0.100648458168533,0.0276584097747904,0.00137002415646569,0.45,0.45,0.45,0.45,0.45,0.45,0.0144499349534374,0.00864603818531915,4.10479289223132e-05,299,299,299 +"605","IAR_LU_segmented_2step","muscle",200,0.1,0.0263,0.00137,0.100010167275155,0.026659732405768,0.00137010699964489,0.45,0.45,0.45,0.45,0.45,0.45,0.00718678934176725,0.00390759823232117,2.05152732594914e-05,299,299,299 +"606","IAR_LU_segmented_2step","Myocardium LV",10,0.15,0.08,0.00239999999999999,0.216176462004403,0.0588216388951969,0.00236368743530589,0.45,0.45,0.45,0.45,0.45,0.45,0.171881507318552,0.0401782750617801,0.000834068660005287,299,299,299 +"607","IAR_LU_segmented_2step","Myocardium LV",30,0.15,0.08,0.00239999999999999,0.157092624512443,0.0735422874588691,0.00241303581596868,0.45,0.45,0.45,0.45,0.45,0.45,0.0542393867182938,0.0290662382411601,0.000296357666123884,299,299,299 +"608","IAR_LU_segmented_2step","Myocardium LV",50,0.15,0.08,0.00239999999999999,0.152059688949306,0.0774471556430297,0.00240494096838654,0.45,0.45,0.45,0.45,0.45,0.45,0.0288164350019392,0.0222586680149857,0.000176237551667564,299,299,299 +"609","IAR_LU_segmented_2step","Myocardium LV",100,0.15,0.08,0.00239999999999999,0.1502443559084,0.0802205089612694,0.00240130488987835,0.45,0.45,0.45,0.45,0.45,0.45,0.0129998410861613,0.014122843531668,8.77945387526407e-05,299,299,299 +"610","IAR_LU_segmented_2step","Myocardium LV",200,0.15,0.08,0.00239999999999999,0.14998161584289,0.0805727786391016,0.00240036245149606,0.45,0.45,0.45,0.45,0.45,0.45,0.00636500187779901,0.0083863709987011,4.38595761003687e-05,299,299,299 +"611","IAR_LU_segmented_2step","myocardium ra",10,0.07,0.07,0.00149999999999999,0.119350878863984,0.0514337267718894,0.00151975238382336,0.45,0.45,0.45,0.45,0.45,0.45,0.122175670926759,0.0434133142530889,0.000451902244580362,299,299,299 +"612","IAR_LU_segmented_2step","myocardium ra",30,0.07,0.07,0.00149999999999999,0.0792678235268432,0.0630122253474679,0.00150135088661537,0.45,0.45,0.45,0.45,0.45,0.45,0.0453965721903305,0.0370205316555882,0.000145531665803808,299,299,299 +"613","IAR_LU_segmented_2step","myocardium ra",50,0.07,0.07,0.00149999999999999,0.0732403880623856,0.0670725405181436,0.00150012323568828,0.45,0.45,0.45,0.45,0.45,0.45,0.0252082855480232,0.0312195461504889,8.7051020303066e-05,299,299,299 +"614","IAR_LU_segmented_2step","myocardium ra",100,0.07,0.07,0.00149999999999999,0.0706178298379081,0.070443026528861,0.0014998056873571,0.45,0.45,0.45,0.45,0.45,0.45,0.0111951905448853,0.0218907235987571,4.34633528314348e-05,299,299,299 +"615","IAR_LU_segmented_2step","myocardium ra",200,0.07,0.07,0.00149999999999999,0.0700882021696882,0.0711624170870161,0.00149983895305546,0.45,0.45,0.45,0.45,0.45,0.45,0.00530076419781213,0.0136048480175851,2.17222536919786e-05,299,299,299 +"616","IAR_LU_segmented_2step","myocardium RV",10,0.15,0.08,0.0024,0.216176462093417,0.0587745064264794,0.00236368743581685,0.45,0.45,0.45,0.45,0.45,0.45,0.171881507598995,0.0401426060790872,0.00083406866022113,299,299,299 +"617","IAR_LU_segmented_2step","myocardium RV",30,0.15,0.08,0.0024,0.157092624615292,0.0735422874811554,0.00241303581609851,0.45,0.45,0.45,0.45,0.45,0.45,0.054239386775933,0.0290662382493536,0.00029635766628923,299,299,299 +"618","IAR_LU_segmented_2step","myocardium RV",50,0.15,0.08,0.0024,0.152059688939565,0.0774471556451954,0.00240494096841768,0.45,0.45,0.45,0.45,0.45,0.45,0.0288164349419838,0.0222586680361696,0.000176237551477804,299,299,299 +"619","IAR_LU_segmented_2step","myocardium RV",100,0.15,0.08,0.0024,0.150244355906902,0.0802205089580956,0.00240130488986735,0.45,0.45,0.45,0.45,0.45,0.45,0.0129998410911865,0.0141228435254751,8.77945387539921e-05,299,299,299 +"620","IAR_LU_segmented_2step","myocardium RV",200,0.15,0.08,0.0024,0.149981615838326,0.0805727786392947,0.00240036245148733,0.45,0.45,0.45,0.45,0.45,0.45,0.00636500187260487,0.0083863709891494,4.38595760806971e-05,299,299,299 +"621","IAR_LU_segmented_2step","pancreas",10,0.15,0.00999999999999999,0.00129999999999999,0.167366769603273,0.0308285226397679,0.00134733544803823,0.45,0.45,0.45,0.45,0.45,0.45,0.138138076808777,0.0354955798668487,0.000431649676072438,299,299,299 +"622","IAR_LU_segmented_2step","pancreas",30,0.15,0.00999999999999999,0.00129999999999999,0.141203986852718,0.0176354724492175,0.00133082551203659,0.45,0.45,0.45,0.45,0.45,0.45,0.0600511070804436,0.0196812578330731,0.00013904327490213,299,299,299 +"623","IAR_LU_segmented_2step","pancreas",50,0.15,0.00999999999999999,0.00129999999999999,0.137697420927001,0.0134860811597996,0.00132993185852035,0.45,0.45,0.45,0.45,0.45,0.45,0.0376186380043977,0.00990391936574498,8.3180681187491e-05,299,299,299 +"624","IAR_LU_segmented_2step","pancreas",100,0.15,0.00999999999999999,0.00129999999999999,0.136229323203911,0.0115476660398471,0.00132978575880063,0.45,0.45,0.45,0.45,0.45,0.45,0.0195144380655607,0.00241788894836922,4.1532158709095e-05,299,299,299 +"625","IAR_LU_segmented_2step","pancreas",200,0.15,0.00999999999999999,0.00129999999999999,0.13602484574759,0.0112236005345173,0.00132987961465998,0.45,0.45,0.45,0.45,0.45,0.45,0.00985292075126343,0.00107217148131977,2.07569284119625e-05,299,299,299 +"626","IAR_LU_segmented_2step","pericardium",10,0.07,0.01,0.003,0.223205650358441,0.0281354043055818,0.0027370108223024,0.45,0.45,0.45,0.45,0.45,0.45,0.232065380022936,0.0369907189780938,0.000885042121987257,299,299,299 +"627","IAR_LU_segmented_2step","pericardium",30,0.07,0.01,0.003,0.104347275786129,0.0255673908229098,0.00304612925833812,0.45,0.45,0.45,0.45,0.45,0.45,0.114261684864819,0.0332963153799494,0.000391056261616707,299,299,299 +"628","IAR_LU_segmented_2step","pericardium",50,0.07,0.01,0.003,0.0814011587342031,0.0244928447449826,0.00304009046163891,0.45,0.45,0.45,0.45,0.45,0.45,0.0795667666963454,0.0304059701061412,0.000238152536606002,299,299,299 +"629","IAR_LU_segmented_2step","pericardium",100,0.07,0.01,0.003,0.0642156770189475,0.020440594492284,0.00303324788655734,0.45,0.45,0.45,0.45,0.45,0.45,0.0448553814808364,0.02328325281944,0.0001185006047455,299,299,299 +"630","IAR_LU_segmented_2step","pericardium",200,0.07,0.01,0.003,0.0580112863980191,0.0143446322267918,0.00303117957620993,0.45,0.45,0.45,0.45,0.45,0.45,0.0239540291760575,0.00980730157469069,5.91963411594801e-05,299,299,299 +"631","IAR_LU_segmented_2step","right kidney medulla",10,0.158,0.019,0.00209,0.214897364750887,0.0349323808857953,0.00210934037383571,0.45,0.45,0.45,0.45,0.45,0.45,0.176570100929705,0.0357038663180629,0.000728386366312476,299,299,299 +"632","IAR_LU_segmented_2step","right kidney medulla",30,0.158,0.019,0.00209,0.1657109940179,0.0270906706245067,0.00210327080298252,0.45,0.45,0.45,0.45,0.45,0.45,0.0725100593788847,0.0225768947405185,0.000242646564228503,299,299,299 +"633","IAR_LU_segmented_2step","right kidney medulla",50,0.158,0.019,0.00209,0.159840360106385,0.0226243076257691,0.00209789750114162,0.45,0.45,0.45,0.45,0.45,0.45,0.0449934074887979,0.0129995305341982,0.000144591388188289,299,299,299 +"634","IAR_LU_segmented_2step","right kidney medulla",100,0.158,0.019,0.00209,0.157128036252483,0.0199765644524694,0.00209573127130611,0.45,0.45,0.45,0.45,0.45,0.45,0.0229312108930269,0.00451773115368034,7.20856679148625e-05,299,299,299 +"635","IAR_LU_segmented_2step","right kidney medulla",200,0.158,0.019,0.00209,0.156502788562749,0.01944662223736,0.00209523459722322,0.45,0.45,0.45,0.45,0.45,0.45,0.0115545577659798,0.00215365037568976,3.60164249883863e-05,299,299,299 +"636","IAR_LU_segmented_2step","Right kydney cortex",10,0.097,0.02,0.00212,0.170083391326229,0.0362607784128459,0.00214004719496282,0.45,0.45,0.45,0.45,0.45,0.45,0.168104195513681,0.0383928312387471,0.000693964401384033,299,299,299 +"637","IAR_LU_segmented_2step","Right kydney cortex",30,0.097,0.02,0.00212,0.112526750081267,0.0324422518181432,0.0021297407037008,0.45,0.45,0.45,0.45,0.45,0.45,0.071762920718918,0.0299939350792029,0.000230468547854172,299,299,299 +"638","IAR_LU_segmented_2step","Right kydney cortex",50,0.097,0.02,0.00212,0.10294341594501,0.0276749873194382,0.00212486470550974,0.45,0.45,0.45,0.45,0.45,0.45,0.0445721609688734,0.0223523515043956,0.000137434850582313,299,299,299 +"639","IAR_LU_segmented_2step","Right kydney cortex",100,0.097,0.02,0.00212,0.0979365844202808,0.0222618598591827,0.00212288817087808,0.45,0.45,0.45,0.45,0.45,0.45,0.0226855112845619,0.0094189431786872,6.85394294758574e-05,299,299,299 +"640","IAR_LU_segmented_2step","Right kydney cortex",200,0.097,0.02,0.00212,0.0965888281696063,0.0206966235189306,0.00212243012687663,0.45,0.45,0.45,0.45,0.45,0.45,0.0113984606619312,0.003773564449597,3.42474968787025e-05,299,299,299 +"641","IAR_LU_segmented_2step","small intestine",10,0.69,0.029,0.00130999999999999,0.690373035757396,0.03206108458753,0.00128397090178629,0.45,0.45,0.45,0.45,0.45,0.45,0.111830765250388,0.0149363990226298,0.00103107503559299,299,299,299 +"642","IAR_LU_segmented_2step","small intestine",30,0.69,0.029,0.00130999999999999,0.688190385599122,0.0294222676860532,0.00132700874615982,0.45,0.45,0.45,0.45,0.45,0.45,0.0448734637635559,0.00411936458119461,0.000393814791967693,299,299,299 +"643","IAR_LU_segmented_2step","small intestine",50,0.69,0.029,0.00130999999999999,0.688983137057779,0.0291736871202406,0.00131674147788471,0.45,0.45,0.45,0.45,0.45,0.45,0.0269406505340433,0.00243185752535855,0.000231513954838717,299,299,299 +"644","IAR_LU_segmented_2step","small intestine",100,0.69,0.029,0.00130999999999999,0.689404252987001,0.0290661630928285,0.00131311787679501,0.45,0.45,0.45,0.45,0.45,0.45,0.0134745367093565,0.00120919315574306,0.000114727932099834,299,299,299 +"645","IAR_LU_segmented_2step","small intestine",200,0.69,0.029,0.00130999999999999,0.689565491152476,0.0290364333710553,0.0013125956066485,0.45,0.45,0.45,0.45,0.45,0.45,0.0067375758101481,0.000603840896525084,5.72226395704009e-05,299,299,299 +"646","IAR_LU_segmented_2step","spinal cord",10,0.178,0.0289,0.00040999999999999,0.189406063372266,0.0412663735085795,0.000412840797829311,0.45,0.45,0.45,0.45,0.45,0.45,0.0936284606402155,0.0339351423303885,0.000226005046794059,299,299,299 +"647","IAR_LU_segmented_2step","spinal cord",30,0.178,0.0289,0.00040999999999999,0.179648356299058,0.032375800541201,0.000408751133887252,0.45,0.45,0.45,0.45,0.45,0.45,0.0327504334348194,0.0164856492972134,7.77733038160346e-05,299,299,299 +"648","IAR_LU_segmented_2step","spinal cord",50,0.178,0.0289,0.00040999999999999,0.178371624906209,0.0301049411887382,0.000409223661276355,0.45,0.45,0.45,0.45,0.45,0.45,0.0196380239651049,0.00905656609699665,4.66067427172647e-05,299,299,299 +"649","IAR_LU_segmented_2step","spinal cord",100,0.178,0.0289,0.00040999999999999,0.177920919862475,0.0291909009466281,0.000409657261395612,0.45,0.45,0.45,0.45,0.45,0.45,0.00981799573240963,0.00408153370304415,2.32874695356801e-05,299,299,299 +"650","IAR_LU_segmented_2step","spinal cord",200,0.178,0.0289,0.00040999999999999,0.177873092993448,0.0289893593079745,0.000409899477646005,0.45,0.45,0.45,0.45,0.45,0.45,0.00490804945174383,0.00200932846948761,1.16406473814349e-05,299,299,299 +"651","IAR_LU_segmented_2step","spleen",10,0.2,0.03,0.00129999999999999,0.224602362482476,0.0423101946942116,0.00131869223769686,0.45,0.45,0.45,0.45,0.45,0.45,0.127234911709401,0.0341265979931342,0.000459161541284809,299,299,299 +"652","IAR_LU_segmented_2step","spleen",30,0.2,0.03,0.00129999999999999,0.203576863470427,0.0339539200025937,0.00130108907088979,0.45,0.45,0.45,0.45,0.45,0.45,0.0443312144557961,0.0176175664225988,0.000147366538355311,299,299,299 +"653","IAR_LU_segmented_2step","spleen",50,0.2,0.03,0.00129999999999999,0.201083469435387,0.0314320549678937,0.00130009526398064,0.45,0.45,0.45,0.45,0.45,0.45,0.026494532118809,0.00973436498522598,8.81308203353264e-05,299,299,299 +"654","IAR_LU_segmented_2step","spleen",100,0.2,0.03,0.00129999999999999,0.200071151643871,0.0303418337796533,0.001299928493873,0.45,0.45,0.45,0.45,0.45,0.45,0.0131754362551064,0.00435303846385553,4.39969723252588e-05,299,299,299 +"655","IAR_LU_segmented_2step","spleen",200,0.2,0.03,0.00129999999999999,0.199885784148007,0.0301070126216643,0.00130002911399547,0.45,0.45,0.45,0.45,0.45,0.45,0.00657087134000699,0.00215138858528286,2.19877335574001e-05,299,299,299 +"656","IAR_LU_segmented_2step","st wall",10,0.3,0.012,0.0015,0.297910726543919,0.0242153868138864,0.00157773932653598,0.45,0.45,0.45,0.45,0.45,0.45,0.166898578463429,0.0267530137043089,0.000614593949967578,299,299,299 +"657","IAR_LU_segmented_2step","st wall",30,0.3,0.012,0.0015,0.28353346596433,0.0146267868946118,0.00155214816763269,0.45,0.45,0.45,0.45,0.45,0.45,0.0667707036682384,0.00784536949223986,0.000195511563827576,299,299,299 +"658","IAR_LU_segmented_2step","st wall",50,0.3,0.012,0.0015,0.282913643364408,0.0133565032686784,0.00154952132483661,0.45,0.45,0.45,0.45,0.45,0.45,0.0412585327357027,0.00296624032782895,0.000116680524462977,299,299,299 +"659","IAR_LU_segmented_2step","st wall",100,0.3,0.012,0.0015,0.282957489856606,0.0129414790128386,0.00154867358294334,0.45,0.45,0.45,0.45,0.45,0.45,0.0209295866523419,0.00131275198970033,5.81996976885613e-05,299,299,299 +"660","IAR_LU_segmented_2step","st wall",200,0.3,0.012,0.0015,0.283111805853581,0.0128396414254231,0.0015486037961845,0.45,0.45,0.45,0.45,0.45,0.45,0.0105040250354029,0.000633726930355259,2.90796049005558e-05,299,299,299 +"661","IAR_LU_segmented_2step","Stomach Contents",10,0,0,0.003,0.179138578163164,0.0281470793168338,0.00276375862420007,0.45,0.45,0.45,0.45,0.45,0.45,0.213938785877696,0.0376266854164969,0.000846065839104011,299,299,299 +"662","IAR_LU_segmented_2step","Stomach Contents",30,0,0,0.003,0.063980537368938,0.0253954276101591,0.00301559949425432,0.45,0.45,0.45,0.45,0.45,0.45,0.095903339286865,0.0364435175013248,0.000365244593696601,299,299,299 +"663","IAR_LU_segmented_2step","Stomach Contents",50,0,0,0.003,0.0412500485489272,0.0206000078525319,0.00300875829791531,0.45,0.45,0.45,0.45,0.45,0.45,0.0638410974970435,0.0324348785619054,0.000220525233123594,299,299,299 +"664","IAR_LU_segmented_2step","Stomach Contents",100,0,0,0.003,0.0219736111024135,0.01757893073866,0.00300272941243643,0.45,0.45,0.45,0.45,0.45,0.45,0.0349600984151583,0.0292918810603876,0.000109821675209749,299,299,299 +"665","IAR_LU_segmented_2step","Stomach Contents",200,0,0,0.003,0.0114017377542355,0.0146875495993254,0.00300093274821417,0.45,0.45,0.45,0.45,0.45,0.45,0.0183912103125839,0.0254991424341954,5.48683426829861e-05,299,299,299 +"666","IAR_LU_segmented_2step","trans lower intestine",10,0.69,0.029,0.00130999999999999,0.69037303749125,0.0320610844836358,0.00128397090178629,0.45,0.45,0.45,0.45,0.45,0.45,0.111830763771563,0.0149363989976124,0.00103107503559299,299,299,299 +"667","IAR_LU_segmented_2step","trans lower intestine",30,0.69,0.029,0.00130999999999999,0.688190385593539,0.0294222676872454,0.00132700874615982,0.45,0.45,0.45,0.45,0.45,0.45,0.0448734637558478,0.00411936458168369,0.000393814791967693,299,299,299 +"668","IAR_LU_segmented_2step","trans lower intestine",50,0.69,0.029,0.00130999999999999,0.68898313706239,0.0291736871209134,0.00131674147788471,0.45,0.45,0.45,0.45,0.45,0.45,0.0269406505338101,0.0024318575254413,0.000231513954838717,299,299,299 +"669","IAR_LU_segmented_2step","trans lower intestine",100,0.69,0.029,0.00130999999999999,0.689404252989508,0.0290661630925507,0.00131311787679501,0.45,0.45,0.45,0.45,0.45,0.45,0.0134745367049696,0.00120919315574895,0.000114727932099834,299,299,299 +"670","IAR_LU_segmented_2step","trans lower intestine",200,0.69,0.029,0.00130999999999999,0.689565491165205,0.0290364333675362,0.0013125956066485,0.45,0.45,0.45,0.45,0.45,0.45,0.00673757582406111,0.000603840899001961,5.72226395704009e-05,299,299,299 +"671","IAR_LU_segmented_2step","Vein",10,1,0.1,0.003,0.921258294006205,0.0983174229514582,0.000602377539365262,0.45,0.45,0.45,0.45,0.45,0.45,0.0258235599431163,0.00488173576858925,0.000954240122974581,299,299,299 +"672","IAR_LU_segmented_2step","Vein",30,1,0.1,0.003,0.976019933221361,0.0994829647765158,0.00060239305244365,0.45,0.45,0.45,0.45,0.45,0.45,0.00833101267682292,0.00160385964963576,0.000954268289514292,299,299,299 +"673","IAR_LU_segmented_2step","Vein",50,1,0.1,0.003,0.98599487225747,0.0996813109862223,0.000602405603200741,0.45,0.45,0.45,0.45,0.45,0.45,0.00494309800725367,0.00098635809134973,0.000954266532348308,299,299,299 +"674","IAR_LU_segmented_2step","Vein",100,1,0.1,0.003,0.993268900336901,0.0998299735834051,0.000602442811986694,0.45,0.45,0.45,0.45,0.45,0.45,0.00241285763307656,0.000513921040160147,0.000954286483399826,299,299,299 +"675","IAR_LU_segmented_2step","Vein",200,1,0.1,0.003,0.996782474408715,0.099908372240112,0.000602417326124585,0.45,0.45,0.45,0.45,0.45,0.45,0.00119135923034317,0.00026755704762974,0.000954060412685357,299,299,299 +"676","IAR_LU_segmented_3step","Artery",10,1,0.1,0.00299999999999999,0.921258295754633,0.0983173943519328,0.000602377539349993,0.45,0.45,0.45,0.45,0.45,0.45,0.0258235874512208,0.00488176105229651,0.000954240122983693,299,299,299 +"677","IAR_LU_segmented_3step","Artery",30,1,0.1,0.00299999999999999,0.976019921591105,0.0994829388946097,0.00060239305244365,0.45,0.45,0.45,0.45,0.45,0.45,0.00833093060793743,0.00160385306213362,0.000954268289514292,299,299,299 +"678","IAR_LU_segmented_3step","Artery",50,1,0.1,0.00299999999999999,0.985994865014497,0.0996813363124957,0.000602405603200741,0.45,0.45,0.45,0.45,0.45,0.45,0.00494311872660846,0.000986368951807364,0.000954266532348308,299,299,299 +"679","IAR_LU_segmented_3step","Artery",100,1,0.1,0.00299999999999999,0.993268930016578,0.0998299053887308,0.000602442811986694,0.45,0.45,0.45,0.45,0.45,0.45,0.00241282801486426,0.000513907366461962,0.000954286483399826,299,299,299 +"680","IAR_LU_segmented_3step","Artery",200,1,0.1,0.00299999999999999,0.996782670892671,0.0999081619683577,0.000602417326124585,0.45,0.45,0.45,0.45,0.45,0.45,0.00119125287475698,0.000267526451585604,0.000954060412685357,299,299,299 +"681","IAR_LU_segmented_3step","asc lower intestine",10,0.69,0.029,0.00131,0.690372912426272,0.0320609988305455,0.00128397090175435,0.45,0.45,0.45,0.45,0.45,0.45,0.111831070217065,0.0149362639277218,0.0010310750352814,299,299,299 +"682","IAR_LU_segmented_3step","asc lower intestine",30,0.69,0.029,0.00131,0.68819045300174,0.0294222458088518,0.00132700874616123,0.45,0.45,0.45,0.45,0.45,0.45,0.044873437935861,0.00411935738484326,0.000393814792063893,299,299,299 +"683","IAR_LU_segmented_3step","asc lower intestine",50,0.69,0.029,0.00131,0.688983156892999,0.0291736810771699,0.00131674147785283,0.45,0.45,0.45,0.45,0.45,0.45,0.0269406517100451,0.00243185875649773,0.000231513954749497,299,299,299 +"684","IAR_LU_segmented_3step","asc lower intestine",100,0.69,0.029,0.00131,0.689404263286565,0.0290661598842394,0.00131311787679812,0.45,0.45,0.45,0.45,0.45,0.45,0.0134745315429047,0.00120919095682194,0.000114727932084214,299,299,299 +"685","IAR_LU_segmented_3step","asc lower intestine",200,0.69,0.029,0.00131,0.689565493195322,0.0290364327595437,0.00131259560662869,0.45,0.45,0.45,0.45,0.45,0.45,0.00673757540354939,0.00060384070996449,5.72226395519967e-05,299,299,299 +"686","IAR_LU_segmented_3step","Blood RA",10,1,0.1,0.00299999999999999,0.921258295754633,0.0983173943519328,0.000602377539349993,0.45,0.45,0.45,0.45,0.45,0.45,0.0258235874512208,0.00488176105229651,0.000954240122983693,299,299,299 +"687","IAR_LU_segmented_3step","Blood RA",30,1,0.1,0.00299999999999999,0.976019921591105,0.0994829388946097,0.00060239305244365,0.45,0.45,0.45,0.45,0.45,0.45,0.00833093060793743,0.00160385306213362,0.000954268289514292,299,299,299 +"688","IAR_LU_segmented_3step","Blood RA",50,1,0.1,0.00299999999999999,0.985994865014497,0.0996813363124957,0.000602405603200741,0.45,0.45,0.45,0.45,0.45,0.45,0.00494311872660846,0.000986368951807364,0.000954266532348308,299,299,299 +"689","IAR_LU_segmented_3step","Blood RA",100,1,0.1,0.00299999999999999,0.993268930016578,0.0998299053887308,0.000602442811986694,0.45,0.45,0.45,0.45,0.45,0.45,0.00241282801486426,0.000513907366461962,0.000954286483399826,299,299,299 +"690","IAR_LU_segmented_3step","Blood RA",200,1,0.1,0.00299999999999999,0.996782670892671,0.0999081619683577,0.000602417326124585,0.45,0.45,0.45,0.45,0.45,0.45,0.00119125287475698,0.000267526451585604,0.000954060412685357,299,299,299 +"691","IAR_LU_segmented_3step","Blood RV",10,1,0.1,0.003,0.921258295752512,0.0983173943497697,0.000602377539314825,0.45,0.45,0.45,0.45,0.45,0.45,0.0258235874592633,0.00488176105309786,0.000954240122896554,299,299,299 +"692","IAR_LU_segmented_3step","Blood RV",30,1,0.1,0.003,0.976019921589139,0.0994829388944177,0.000602393052438452,0.45,0.45,0.45,0.45,0.45,0.45,0.00833093061417054,0.00160385306136018,0.000954268289514534,299,299,299 +"693","IAR_LU_segmented_3step","Blood RV",50,1,0.1,0.003,0.985994865012998,0.0996813363124673,0.000602405603200741,0.45,0.45,0.45,0.45,0.45,0.45,0.00494311872708252,0.000986368951628139,0.000954266532348308,299,299,299 +"694","IAR_LU_segmented_3step","Blood RV",100,1,0.1,0.003,0.993268930010737,0.0998299053836721,0.000602442811986694,0.45,0.45,0.45,0.45,0.45,0.45,0.00241282801400462,0.00051390736455086,0.000954286483399826,299,299,299 +"695","IAR_LU_segmented_3step","Blood RV",200,1,0.1,0.003,0.996782670893716,0.0999081619681687,0.000602417326124585,0.45,0.45,0.45,0.45,0.45,0.45,0.00119125287335306,0.000267526451785148,0.000954060412685357,299,299,299 +"696","IAR_LU_segmented_3step","Bone Marrow",10,0.145,0.05,0.00042999999999999,0.157601309202665,0.0529035031335349,0.000431545915444662,0.45,0.45,0.45,0.45,0.45,0.45,0.0907095861662436,0.0383539658588975,0.000222191156179115,299,299,299 +"697","IAR_LU_segmented_3step","Bone Marrow",30,0.145,0.05,0.00042999999999999,0.146814482953093,0.0542997035102616,0.0004286448604233,0.45,0.45,0.45,0.45,0.45,0.45,0.0304089579858948,0.0257381112203733,7.57695024101959e-05,299,299,299 +"698","IAR_LU_segmented_3step","Bone Marrow",50,0.145,0.05,0.00042999999999999,0.145556058217823,0.0524836994636751,0.000429098807658733,0.45,0.45,0.45,0.45,0.45,0.45,0.0178507674842294,0.0178900377567673,4.54083167932052e-05,299,299,299 +"699","IAR_LU_segmented_3step","Bone Marrow",100,0.145,0.05,0.00042999999999999,0.145008919761753,0.0507450408300116,0.000429516608780042,0.45,0.45,0.45,0.45,0.45,0.45,0.00883033407092269,0.00903410645141698,2.26892914406058e-05,299,299,299 +"700","IAR_LU_segmented_3step","Bone Marrow",200,0.145,0.05,0.00042999999999999,0.144932109344402,0.0501889049641612,0.000429750333394438,0.45,0.45,0.45,0.45,0.45,0.45,0.00441150065416471,0.00429568852714516,1.13417514976531e-05,299,299,299 +"701","IAR_LU_segmented_3step","desc lower intestine",10,0.69,0.029,0.00130999999999999,0.690372912834504,0.0320609988217887,0.00128397090166206,0.45,0.45,0.45,0.45,0.45,0.45,0.11183107005826,0.0149362639326699,0.00103107503526023,299,299,299 +"702","IAR_LU_segmented_3step","desc lower intestine",30,0.69,0.029,0.00130999999999999,0.688190453021037,0.0294222458058859,0.00132700874618162,0.45,0.45,0.45,0.45,0.45,0.45,0.0448734379353933,0.00411935738342776,0.00039381479193991,299,299,299 +"703","IAR_LU_segmented_3step","desc lower intestine",50,0.69,0.029,0.00130999999999999,0.688983156888248,0.0291736810772358,0.00131674147787292,0.45,0.45,0.45,0.45,0.45,0.45,0.0269406517132179,0.00243185875731412,0.000231513954771782,299,299,299 +"704","IAR_LU_segmented_3step","desc lower intestine",100,0.69,0.029,0.00130999999999999,0.689404263278599,0.029066159884253,0.00131311787677005,0.45,0.45,0.45,0.45,0.45,0.45,0.0134745315458274,0.00120919095677847,0.000114727932076757,299,299,299 +"705","IAR_LU_segmented_3step","desc lower intestine",200,0.69,0.029,0.00130999999999999,0.689565493193144,0.0290364327597336,0.00131259560663063,0.45,0.45,0.45,0.45,0.45,0.45,0.00673757540526545,0.000603840709830747,5.72226395666639e-05,299,299,299 +"706","IAR_LU_segmented_3step","esophagus",10,0.32,0.03,0.00167,0.340945084278485,0.0389023403599496,0.00169537630340193,0.45,0.45,0.45,0.45,0.45,0.45,0.14463568359207,0.0286326238361516,0.000699310473361664,299,299,299 +"707","IAR_LU_segmented_3step","esophagus",30,0.32,0.03,0.00167,0.321988091264106,0.0319220181954189,0.00167589442415218,0.45,0.45,0.45,0.45,0.45,0.45,0.0506565805559848,0.0111319456464323,0.000225181332917282,299,299,299 +"708","IAR_LU_segmented_3step","esophagus",50,0.32,0.03,0.00167,0.320433872277161,0.0306483607174865,0.00167205798908611,0.45,0.45,0.45,0.45,0.45,0.45,0.0304006722873065,0.00593603111670124,0.000134201428086798,299,299,299 +"709","IAR_LU_segmented_3step","esophagus",100,0.32,0.03,0.00167,0.319848898711903,0.030186335794048,0.00167069900566133,0.45,0.45,0.45,0.45,0.45,0.45,0.0151616180023568,0.00289360760333566,6.69010973711844e-05,299,299,299 +"710","IAR_LU_segmented_3step","esophagus",200,0.32,0.03,0.00167,0.319780248610186,0.0300697010252818,0.00167049624612484,0.45,0.45,0.45,0.45,0.45,0.45,0.00757222635202811,0.00144131091805264,3.34227717080463e-05,299,299,299 +"711","IAR_LU_segmented_3step","esophagus cont",10,0.32,0.03,0.00167,0.340945084278485,0.0389023403599496,0.00169537630340193,0.45,0.45,0.45,0.45,0.45,0.45,0.14463568359207,0.0286326238361516,0.000699310473361664,299,299,299 +"712","IAR_LU_segmented_3step","esophagus cont",30,0.32,0.03,0.00167,0.321988091264106,0.0319220181954189,0.00167589442415218,0.45,0.45,0.45,0.45,0.45,0.45,0.0506565805559848,0.0111319456464323,0.000225181332917282,299,299,299 +"713","IAR_LU_segmented_3step","esophagus cont",50,0.32,0.03,0.00167,0.320433872277161,0.0306483607174865,0.00167205798908611,0.45,0.45,0.45,0.45,0.45,0.45,0.0304006722873065,0.00593603111670124,0.000134201428086798,299,299,299 +"714","IAR_LU_segmented_3step","esophagus cont",100,0.32,0.03,0.00167,0.319848898711903,0.030186335794048,0.00167069900566133,0.45,0.45,0.45,0.45,0.45,0.45,0.0151616180023568,0.00289360760333566,6.69010973711844e-05,299,299,299 +"715","IAR_LU_segmented_3step","esophagus cont",200,0.32,0.03,0.00167,0.319780248610186,0.0300697010252818,0.00167049624612484,0.45,0.45,0.45,0.45,0.45,0.45,0.00757222635202811,0.00144131091805264,3.34227717080463e-05,299,299,299 +"716","IAR_LU_segmented_3step","gall bladder",10,0,0.1,0.00299999999999999,0.180979534713701,0.0218713976586518,0.00276375862273174,0.45,0.45,0.45,0.45,0.45,0.45,0.21381009525111,0.0329053995852173,0.000846065838805673,299,299,299 +"717","IAR_LU_segmented_3step","gall bladder",30,0,0.1,0.00299999999999999,0.0646943371799861,0.0170339790499464,0.00301559949423452,0.45,0.45,0.45,0.45,0.45,0.45,0.0962442911914109,0.0285357703937852,0.000365244593708125,299,299,299 +"718","IAR_LU_segmented_3step","gall bladder",50,0,0.1,0.00299999999999999,0.0412767698953131,0.0157033484377215,0.00300875829805823,0.45,0.45,0.45,0.45,0.45,0.45,0.0638629620690535,0.0268704546652097,0.0002205252334547,299,299,299 +"719","IAR_LU_segmented_3step","gall bladder",100,0,0.1,0.00299999999999999,0.0219467433060988,0.0131619529019394,0.00300272941236099,0.45,0.45,0.45,0.45,0.45,0.45,0.0349915621827435,0.0231165378425456,0.000109821675242164,299,299,299 +"720","IAR_LU_segmented_3step","gall bladder",200,0,0.1,0.00299999999999999,0.0113447734954111,0.010679934630727,0.00300093274818275,0.45,0.45,0.45,0.45,0.45,0.45,0.0184225043448738,0.0183972956193938,5.48683426903983e-05,299,299,299 +"721","IAR_LU_segmented_3step","Left kidney cortex",10,0.097,0.02,0.00212,0.171166452972381,0.0327373606940212,0.00214004719496282,0.45,0.45,0.45,0.45,0.45,0.45,0.168408251172229,0.0370219089901412,0.000693964401384033,299,299,299 +"722","IAR_LU_segmented_3step","Left kidney cortex",30,0.097,0.02,0.00212,0.112527007907574,0.0318089332204069,0.0021297407037008,0.45,0.45,0.45,0.45,0.45,0.45,0.0717629422528089,0.0295588826080511,0.000230468547854172,299,299,299 +"723","IAR_LU_segmented_3step","Left kidney cortex",50,0.097,0.02,0.00212,0.102943504878459,0.0273586068848391,0.00212486470550974,0.45,0.45,0.45,0.45,0.45,0.45,0.0445721614984707,0.0219954324959227,0.000137434850582313,299,299,299 +"724","IAR_LU_segmented_3step","Left kidney cortex",100,0.097,0.02,0.00212,0.0979366717504519,0.0222619035498679,0.00212288817087808,0.45,0.45,0.45,0.45,0.45,0.45,0.0226855370063872,0.00941940682395472,6.85394294758574e-05,299,299,299 +"725","IAR_LU_segmented_3step","Left kidney cortex",200,0.097,0.02,0.00212,0.0965888681061081,0.0206965918812656,0.00212243012687663,0.45,0.45,0.45,0.45,0.45,0.45,0.0113984885320567,0.00377358064677238,3.42474968787025e-05,299,299,299 +"726","IAR_LU_segmented_3step","left kidney medulla",10,0.158,0.019,0.00209,0.215538601333811,0.0330584554041069,0.00210934037383571,0.45,0.45,0.45,0.45,0.45,0.45,0.176417627966443,0.0347242884028947,0.000728386366312476,299,299,299 +"727","IAR_LU_segmented_3step","left kidney medulla",30,0.158,0.019,0.00209,0.165711065937012,0.0267740275565235,0.00210327080298252,0.45,0.45,0.45,0.45,0.45,0.45,0.0725100854055339,0.0222142824675598,0.000242646564228503,299,299,299 +"728","IAR_LU_segmented_3step","left kidney medulla",50,0.158,0.019,0.00209,0.159840423247182,0.0226243769919891,0.00209789750114162,0.45,0.45,0.45,0.45,0.45,0.45,0.0449934407960539,0.0129999351650522,0.000144591388188289,299,299,299 +"729","IAR_LU_segmented_3step","left kidney medulla",100,0.158,0.019,0.00209,0.157128073731818,0.0199765335425257,0.00209573127130611,0.45,0.45,0.45,0.45,0.45,0.45,0.0229312099738713,0.00451769065546987,7.20856679148625e-05,299,299,299 +"730","IAR_LU_segmented_3step","left kidney medulla",200,0.158,0.019,0.00209,0.156502806502535,0.0194466127262563,0.00209523459722322,0.45,0.45,0.45,0.45,0.45,0.45,0.0115545662188956,0.0021536510498884,3.60164249883863e-05,299,299,299 +"731","IAR_LU_segmented_3step","Liver",10,0.11,0.1,0.0015,0.146082882050709,0.0559478804902679,0.00152084809188092,0.45,0.45,0.45,0.45,0.45,0.45,0.12417523764379,0.0423510319114557,0.000472993211159269,299,299,299 +"732","IAR_LU_segmented_3step","Liver",30,0.11,0.1,0.0015,0.113015747107183,0.0764337988942673,0.00150154707211704,0.45,0.45,0.45,0.45,0.45,0.45,0.0404962619170089,0.0315961478906252,0.000152137743344338,299,299,299 +"733","IAR_LU_segmented_3step","Liver",50,0.11,0.1,0.0015,0.109957685341215,0.0845663398058661,0.00150017699860271,0.45,0.45,0.45,0.45,0.45,0.45,0.0218837188774183,0.0224781408265878,9.09784274199351e-05,299,299,299 +"734","IAR_LU_segmented_3step","Liver",100,0.11,0.1,0.0015,0.109449356101409,0.0916623226685859,0.00149980895512081,0.45,0.45,0.45,0.45,0.45,0.45,0.0102082812165326,0.0124943114146282,4.54189474712779e-05,299,299,299 +"735","IAR_LU_segmented_3step","Liver",200,0.11,0.1,0.0015,0.109652152384101,0.0956036971815278,0.00149983471124947,0.45,0.45,0.45,0.45,0.45,0.45,0.00504025274062746,0.00673413785148666,2.26988859055568e-05,299,299,299 +"736","IAR_LU_segmented_3step","muscle",10,0.1,0.0263,0.00137,0.143247054807752,0.0392491235614521,0.00138731868382182,0.45,0.45,0.45,0.45,0.45,0.45,0.126406671138234,0.0384607528608065,0.000425998544182136,299,299,299 +"737","IAR_LU_segmented_3step","muscle",30,0.1,0.0263,0.00137,0.108448830292381,0.0355133572659833,0.00137109207822908,0.45,0.45,0.45,0.45,0.45,0.45,0.0488137984079197,0.0278985445335497,0.000137401448295892,299,299,299 +"738","IAR_LU_segmented_3step","muscle",50,0.1,0.0263,0.00137,0.103266157419363,0.0317041282728417,0.00137018713612453,0.45,0.45,0.45,0.45,0.45,0.45,0.0291164141891294,0.0201298934714726,8.22067351758789e-05,299,299,299 +"739","IAR_LU_segmented_3step","muscle",100,0.1,0.0263,0.00137,0.100648494097022,0.0276583960219814,0.00137002415646569,0.45,0.45,0.45,0.45,0.45,0.45,0.0144499801222582,0.00864614105106622,4.10479289223132e-05,299,299,299 +"740","IAR_LU_segmented_3step","muscle",200,0.1,0.0263,0.00137,0.10001017641107,0.0266597103900097,0.00137010699964489,0.45,0.45,0.45,0.45,0.45,0.45,0.00718680035656824,0.00390760677294555,2.05152732594914e-05,299,299,299 +"741","IAR_LU_segmented_3step","Myocardium LV",10,0.15,0.08,0.00239999999999999,0.218725790321114,0.0544356732577788,0.00236368743530589,0.45,0.45,0.45,0.45,0.45,0.45,0.173307671101855,0.0407282174756358,0.000834068660005287,299,299,299 +"742","IAR_LU_segmented_3step","Myocardium LV",30,0.15,0.08,0.00239999999999999,0.157093415162015,0.07354151792096,0.00241303581596868,0.45,0.45,0.45,0.45,0.45,0.45,0.0542399154371308,0.0290675249246746,0.000296357666123884,299,299,299 +"743","IAR_LU_segmented_3step","Myocardium LV",50,0.15,0.08,0.00239999999999999,0.152059800496855,0.0774470116569025,0.00240494096838654,0.45,0.45,0.45,0.45,0.45,0.45,0.0288166633441276,0.0222588618125744,0.000176237551667564,299,299,299 +"744","IAR_LU_segmented_3step","Myocardium LV",100,0.15,0.08,0.00239999999999999,0.150244353226917,0.0802204699761047,0.00240130488987835,0.45,0.45,0.45,0.45,0.45,0.45,0.0129998357568422,0.0141227897936011,8.77945387526407e-05,299,299,299 +"745","IAR_LU_segmented_3step","Myocardium LV",200,0.15,0.08,0.00239999999999999,0.149981615755856,0.08057277706873,0.00240036245149606,0.45,0.45,0.45,0.45,0.45,0.45,0.00636500205271375,0.00838636264879632,4.38595761003687e-05,299,299,299 +"746","IAR_LU_segmented_3step","myocardium ra",10,0.07,0.07,0.00149999999999999,0.120487721843449,0.0467941833083753,0.00151975238382336,0.45,0.45,0.45,0.45,0.45,0.45,0.122926759729513,0.0431964674468968,0.000451902244580362,299,299,299 +"747","IAR_LU_segmented_3step","myocardium ra",30,0.07,0.07,0.00149999999999999,0.0794953920193884,0.0620177715394592,0.00150135088661537,0.45,0.45,0.45,0.45,0.45,0.45,0.0456443486880596,0.0374386456967162,0.000145531665803808,299,299,299 +"748","IAR_LU_segmented_3step","myocardium ra",50,0.07,0.07,0.00149999999999999,0.073307506032155,0.0668946641500346,0.00150012323568828,0.45,0.45,0.45,0.45,0.45,0.45,0.0253334139669958,0.0313903609808462,8.7051020303066e-05,299,299,299 +"749","IAR_LU_segmented_3step","myocardium ra",100,0.07,0.07,0.00149999999999999,0.0706178530571106,0.0704430356804377,0.0014998056873571,0.45,0.45,0.45,0.45,0.45,0.45,0.0111952191956961,0.0218910314396129,4.34633528314348e-05,299,299,299 +"750","IAR_LU_segmented_3step","myocardium ra",200,0.07,0.07,0.00149999999999999,0.070088202222647,0.0711624063862422,0.00149983895305546,0.45,0.45,0.45,0.45,0.45,0.45,0.0053007662227441,0.0136048747723302,2.17222536919786e-05,299,299,299 +"751","IAR_LU_segmented_3step","myocardium RV",10,0.15,0.08,0.0024,0.218725790194539,0.0547508734828805,0.00236368743581685,0.45,0.45,0.45,0.45,0.45,0.45,0.173307670922309,0.0407132053461866,0.00083406866022113,299,299,299 +"752","IAR_LU_segmented_3step","myocardium RV",30,0.15,0.08,0.0024,0.15709341513436,0.0735415179568476,0.00241303581609851,0.45,0.45,0.45,0.45,0.45,0.45,0.0542399153967502,0.0290675249231126,0.00029635766628923,299,299,299 +"753","IAR_LU_segmented_3step","myocardium RV",50,0.15,0.08,0.0024,0.152059800495971,0.0774470116480437,0.00240494096841768,0.45,0.45,0.45,0.45,0.45,0.45,0.0288166633191096,0.0222588618081745,0.000176237551477804,299,299,299 +"754","IAR_LU_segmented_3step","myocardium RV",100,0.15,0.08,0.0024,0.150244353227827,0.0802204699765195,0.00240130488986735,0.45,0.45,0.45,0.45,0.45,0.45,0.0129998357697389,0.0141227897926447,8.77945387539921e-05,299,299,299 +"755","IAR_LU_segmented_3step","myocardium RV",200,0.15,0.08,0.0024,0.149981615758688,0.0805727770677274,0.00240036245148733,0.45,0.45,0.45,0.45,0.45,0.45,0.00636500204507123,0.00838636265504018,4.38595760806971e-05,299,299,299 +"756","IAR_LU_segmented_3step","pancreas",10,0.15,0.00999999999999999,0.00129999999999999,0.167876090953913,0.0288457716687091,0.00134733544803823,0.45,0.45,0.45,0.45,0.45,0.45,0.137991461110135,0.0340920971972675,0.000431649676072438,299,299,299 +"757","IAR_LU_segmented_3step","pancreas",30,0.15,0.00999999999999999,0.00129999999999999,0.141237488913239,0.0173188232548311,0.00133082551203659,0.45,0.45,0.45,0.45,0.45,0.45,0.0599867927464548,0.0191076203926063,0.00013904327490213,299,299,299 +"758","IAR_LU_segmented_3step","pancreas",50,0.15,0.00999999999999999,0.00129999999999999,0.137697382026214,0.0134861119167304,0.00132993185852035,0.45,0.45,0.45,0.45,0.45,0.45,0.0376187112264081,0.00990407684479325,8.3180681187491e-05,299,299,299 +"759","IAR_LU_segmented_3step","pancreas",100,0.15,0.00999999999999999,0.00129999999999999,0.136229323626136,0.0115476620044286,0.00132978575880063,0.45,0.45,0.45,0.45,0.45,0.45,0.0195144311969421,0.00241787556152479,4.1532158709095e-05,299,299,299 +"760","IAR_LU_segmented_3step","pancreas",200,0.15,0.00999999999999999,0.00129999999999999,0.136024834470978,0.0112236045241792,0.00132987961465998,0.45,0.45,0.45,0.45,0.45,0.45,0.00985291991585312,0.00107217005654671,2.07569284119625e-05,299,299,299 +"761","IAR_LU_segmented_3step","pericardium",10,0.07,0.01,0.003,0.226261703948922,0.0234594591801,0.0027370108223024,0.45,0.45,0.45,0.45,0.45,0.45,0.232027239738809,0.033391794329196,0.000885042121987257,299,299,299 +"762","IAR_LU_segmented_3step","pericardium",30,0.07,0.01,0.003,0.10461177811706,0.0203193065817144,0.00304612925833812,0.45,0.45,0.45,0.45,0.45,0.45,0.114299017492034,0.0285715837418395,0.000391056261616707,299,299,299 +"763","IAR_LU_segmented_3step","pericardium",50,0.07,0.01,0.003,0.0816066692955509,0.0198100674597011,0.00304009046163891,0.45,0.45,0.45,0.45,0.45,0.45,0.0795483731875789,0.0255114871598859,0.000238152536606002,299,299,299 +"764","IAR_LU_segmented_3step","pericardium",100,0.07,0.01,0.003,0.0642026522434442,0.0194902379396147,0.00303324788655734,0.45,0.45,0.45,0.45,0.45,0.45,0.0448738241216489,0.0219106452258434,0.0001185006047455,299,299,299 +"765","IAR_LU_segmented_3step","pericardium",200,0.07,0.01,0.003,0.0580113206203477,0.014344608064329,0.00303117957620993,0.45,0.45,0.45,0.45,0.45,0.45,0.0239540323283348,0.00980728479701431,5.91963411594801e-05,299,299,299 +"766","IAR_LU_segmented_3step","right kidney medulla",10,0.158,0.019,0.00209,0.215538601333811,0.0330584554041069,0.00210934037383571,0.45,0.45,0.45,0.45,0.45,0.45,0.176417627966443,0.0347242884028947,0.000728386366312476,299,299,299 +"767","IAR_LU_segmented_3step","right kidney medulla",30,0.158,0.019,0.00209,0.165711065937012,0.0267740275565235,0.00210327080298252,0.45,0.45,0.45,0.45,0.45,0.45,0.0725100854055339,0.0222142824675598,0.000242646564228503,299,299,299 +"768","IAR_LU_segmented_3step","right kidney medulla",50,0.158,0.019,0.00209,0.159840423247182,0.0226243769919891,0.00209789750114162,0.45,0.45,0.45,0.45,0.45,0.45,0.0449934407960539,0.0129999351650522,0.000144591388188289,299,299,299 +"769","IAR_LU_segmented_3step","right kidney medulla",100,0.158,0.019,0.00209,0.157128073731818,0.0199765335425257,0.00209573127130611,0.45,0.45,0.45,0.45,0.45,0.45,0.0229312099738713,0.00451769065546987,7.20856679148625e-05,299,299,299 +"770","IAR_LU_segmented_3step","right kidney medulla",200,0.158,0.019,0.00209,0.156502806502535,0.0194466127262563,0.00209523459722322,0.45,0.45,0.45,0.45,0.45,0.45,0.0115545662188956,0.0021536510498884,3.60164249883863e-05,299,299,299 +"771","IAR_LU_segmented_3step","Right kydney cortex",10,0.097,0.02,0.00212,0.171166452972381,0.0327373606940212,0.00214004719496282,0.45,0.45,0.45,0.45,0.45,0.45,0.168408251172229,0.0370219089901412,0.000693964401384033,299,299,299 +"772","IAR_LU_segmented_3step","Right kydney cortex",30,0.097,0.02,0.00212,0.112527007907574,0.0318089332204069,0.0021297407037008,0.45,0.45,0.45,0.45,0.45,0.45,0.0717629422528089,0.0295588826080511,0.000230468547854172,299,299,299 +"773","IAR_LU_segmented_3step","Right kydney cortex",50,0.097,0.02,0.00212,0.102943504878459,0.0273586068848391,0.00212486470550974,0.45,0.45,0.45,0.45,0.45,0.45,0.0445721614984707,0.0219954324959227,0.000137434850582313,299,299,299 +"774","IAR_LU_segmented_3step","Right kydney cortex",100,0.097,0.02,0.00212,0.0979366717504519,0.0222619035498679,0.00212288817087808,0.45,0.45,0.45,0.45,0.45,0.45,0.0226855370063872,0.00941940682395472,6.85394294758574e-05,299,299,299 +"775","IAR_LU_segmented_3step","Right kydney cortex",200,0.097,0.02,0.00212,0.0965888681061081,0.0206965918812656,0.00212243012687663,0.45,0.45,0.45,0.45,0.45,0.45,0.0113984885320567,0.00377358064677238,3.42474968787025e-05,299,299,299 +"776","IAR_LU_segmented_3step","small intestine",10,0.69,0.029,0.00130999999999999,0.690372912495386,0.0320609988305262,0.00128397090178629,0.45,0.45,0.45,0.45,0.45,0.45,0.111831070204558,0.0149362639331289,0.00103107503559299,299,299,299 +"777","IAR_LU_segmented_3step","small intestine",30,0.69,0.029,0.00130999999999999,0.688190453022214,0.0294222458062283,0.00132700874615982,0.45,0.45,0.45,0.45,0.45,0.45,0.0448734379108146,0.00411935738235602,0.000393814791967693,299,299,299 +"778","IAR_LU_segmented_3step","small intestine",50,0.69,0.029,0.00130999999999999,0.688983156890574,0.0291736810766728,0.00131674147788471,0.45,0.45,0.45,0.45,0.45,0.45,0.0269406517200601,0.00243185875695542,0.000231513954838717,299,299,299 +"779","IAR_LU_segmented_3step","small intestine",100,0.69,0.029,0.00130999999999999,0.689404263282033,0.0290661598841702,0.00131311787679501,0.45,0.45,0.45,0.45,0.45,0.45,0.013474531543556,0.00120919095705515,0.000114727932099834,299,299,299 +"780","IAR_LU_segmented_3step","small intestine",200,0.69,0.029,0.00130999999999999,0.689565493191855,0.0290364327597881,0.0013125956066485,0.45,0.45,0.45,0.45,0.45,0.45,0.0067375754026394,0.000603840709764073,5.72226395704009e-05,299,299,299 +"781","IAR_LU_segmented_3step","spinal cord",10,0.178,0.0289,0.00040999999999999,0.189490904617258,0.040235552870362,0.000412840797829311,0.45,0.45,0.45,0.45,0.45,0.45,0.0936736232433647,0.0336510625092041,0.000226005046794059,299,299,299 +"782","IAR_LU_segmented_3step","spinal cord",30,0.178,0.0289,0.00040999999999999,0.179628231425217,0.0321714849861686,0.000408751133887252,0.45,0.45,0.45,0.45,0.45,0.45,0.0327894135767029,0.01622535853364,7.77733038160346e-05,299,299,299 +"783","IAR_LU_segmented_3step","spinal cord",50,0.178,0.0289,0.00040999999999999,0.178371619397706,0.0301047720354456,0.000409223661276355,0.45,0.45,0.45,0.45,0.45,0.45,0.0196380260802924,0.00905652861374682,4.66067427172647e-05,299,299,299 +"784","IAR_LU_segmented_3step","spinal cord",100,0.178,0.0289,0.00040999999999999,0.177920920338769,0.0291908748654063,0.000409657261395612,0.45,0.45,0.45,0.45,0.45,0.45,0.00981799623731663,0.00408154119761248,2.32874695356801e-05,299,299,299 +"785","IAR_LU_segmented_3step","spinal cord",200,0.178,0.0289,0.00040999999999999,0.177873093349522,0.0289893503255002,0.000409899477646005,0.45,0.45,0.45,0.45,0.45,0.45,0.00490804993330021,0.00200933227042336,1.16406473814349e-05,299,299,299 +"786","IAR_LU_segmented_3step","spleen",10,0.2,0.03,0.00129999999999999,0.225215073969026,0.0405334807163056,0.00131869223769686,0.45,0.45,0.45,0.45,0.45,0.45,0.12737455155508,0.0337254674393409,0.000459161541284809,299,299,299 +"787","IAR_LU_segmented_3step","spleen",30,0.2,0.03,0.00129999999999999,0.203576977991073,0.0339539416773609,0.00130108907088979,0.45,0.45,0.45,0.45,0.45,0.45,0.0443312370339564,0.0176179137474946,0.000147366538355311,299,299,299 +"788","IAR_LU_segmented_3step","spleen",50,0.2,0.03,0.00129999999999999,0.201083539265302,0.031431935105983,0.00130009526398064,0.45,0.45,0.45,0.45,0.45,0.45,0.0264945770021296,0.00973437975370399,8.81308203353264e-05,299,299,299 +"789","IAR_LU_segmented_3step","spleen",100,0.2,0.03,0.00129999999999999,0.200071168876349,0.0303418014699482,0.001299928493873,0.45,0.45,0.45,0.45,0.45,0.45,0.0131754519726379,0.00435303381905079,4.39969723252588e-05,299,299,299 +"790","IAR_LU_segmented_3step","spleen",200,0.2,0.03,0.00129999999999999,0.199885789616404,0.030107002311827,0.00130002911399547,0.45,0.45,0.45,0.45,0.45,0.45,0.00657087505236375,0.00215139132674925,2.19877335574001e-05,299,299,299 +"791","IAR_LU_segmented_3step","st wall",10,0.3,0.012,0.0015,0.298324939098343,0.0239344061942333,0.00157773932653598,0.45,0.45,0.45,0.45,0.45,0.45,0.166709746983913,0.0264709409060907,0.000614593949967578,299,299,299 +"792","IAR_LU_segmented_3step","st wall",30,0.3,0.012,0.0015,0.283533448065034,0.0146267906433666,0.00155214816763269,0.45,0.45,0.45,0.45,0.45,0.45,0.0667707703808514,0.00784535600595575,0.000195511563827576,299,299,299 +"793","IAR_LU_segmented_3step","st wall",50,0.3,0.012,0.0015,0.28291361062468,0.0133565096684508,0.00154952132483661,0.45,0.45,0.45,0.45,0.45,0.45,0.0412585586369585,0.00296623318448664,0.000116680524462977,299,299,299 +"794","IAR_LU_segmented_3step","st wall",100,0.3,0.012,0.0015,0.282957467768599,0.0129414830257085,0.00154867358294334,0.45,0.45,0.45,0.45,0.45,0.45,0.0209295851835921,0.00131275093568454,5.81996976885613e-05,299,299,299 +"795","IAR_LU_segmented_3step","st wall",200,0.3,0.012,0.0015,0.283111796576951,0.012839643105782,0.0015486037961845,0.45,0.45,0.45,0.45,0.45,0.45,0.0105040225333119,0.000633726038642327,2.90796049005558e-05,299,299,299 +"796","IAR_LU_segmented_3step","Stomach Contents",10,0,0,0.003,0.180979536287172,0.021555443402994,0.00276375862420007,0.45,0.45,0.45,0.45,0.45,0.45,0.213810098034701,0.032606675210083,0.000846065839104011,299,299,299 +"797","IAR_LU_segmented_3step","Stomach Contents",30,0,0,0.003,0.0646943374397868,0.0173506551900685,0.00301559949425432,0.45,0.45,0.45,0.45,0.45,0.45,0.0962442919382739,0.0289262202495013,0.000365244593696601,299,299,299 +"798","IAR_LU_segmented_3step","Stomach Contents",50,0,0,0.003,0.0412767701447152,0.0157033474360758,0.00300875829791531,0.45,0.45,0.45,0.45,0.45,0.45,0.0638629615729682,0.0268704516275496,0.000220525233123594,299,299,299 +"799","IAR_LU_segmented_3step","Stomach Contents",100,0,0,0.003,0.0219467433749164,0.0131619530996662,0.00300272941243643,0.45,0.45,0.45,0.45,0.45,0.45,0.0349915622080665,0.02311653774922,0.000109821675209749,299,299,299 +"800","IAR_LU_segmented_3step","Stomach Contents",200,0,0,0.003,0.0113447737914599,0.0106799320886369,0.00300093274821417,0.45,0.45,0.45,0.45,0.45,0.45,0.0184225048767433,0.018397286514301,5.48683426829861e-05,299,299,299 +"801","IAR_LU_segmented_3step","trans lower intestine",10,0.69,0.029,0.00130999999999999,0.690372912514732,0.0320609988154312,0.00128397090178629,0.45,0.45,0.45,0.45,0.45,0.45,0.11183107022349,0.0149362639063537,0.00103107503559299,299,299,299 +"802","IAR_LU_segmented_3step","trans lower intestine",30,0.69,0.029,0.00130999999999999,0.688190453028525,0.0294222458062765,0.00132700874615982,0.45,0.45,0.45,0.45,0.45,0.45,0.0448734379048314,0.00411935738241528,0.000393814791967693,299,299,299 +"803","IAR_LU_segmented_3step","trans lower intestine",50,0.69,0.029,0.00130999999999999,0.688983156885389,0.0291736810770989,0.00131674147788471,0.45,0.45,0.45,0.45,0.45,0.45,0.0269406517148853,0.00243185875753381,0.000231513954838717,299,299,299 +"804","IAR_LU_segmented_3step","trans lower intestine",100,0.69,0.029,0.00130999999999999,0.689404263284667,0.0290661598842918,0.00131311787679501,0.45,0.45,0.45,0.45,0.45,0.45,0.0134745315495576,0.00120919095747282,0.000114727932099834,299,299,299 +"805","IAR_LU_segmented_3step","trans lower intestine",200,0.69,0.029,0.00130999999999999,0.689565493192237,0.0290364327597635,0.0013125956066485,0.45,0.45,0.45,0.45,0.45,0.45,0.00673757540531011,0.000603840709857747,5.72226395704009e-05,299,299,299 +"806","IAR_LU_segmented_3step","Vein",10,1,0.1,0.003,0.921258295769297,0.0983173943529829,0.000602377539365262,0.45,0.45,0.45,0.45,0.45,0.45,0.0258235874429731,0.00488176105242994,0.000954240122974581,299,299,299 +"807","IAR_LU_segmented_3step","Vein",30,1,0.1,0.003,0.976019921590824,0.099482938894657,0.00060239305244365,0.45,0.45,0.45,0.45,0.45,0.45,0.00833093061148117,0.00160385306162368,0.000954268289514292,299,299,299 +"808","IAR_LU_segmented_3step","Vein",50,1,0.1,0.003,0.985994865012448,0.0996813363124073,0.000602405603200741,0.45,0.45,0.45,0.45,0.45,0.45,0.00494311872646144,0.000986368952043478,0.000954266532348308,299,299,299 +"809","IAR_LU_segmented_3step","Vein",100,1,0.1,0.003,0.993268929663768,0.0998299060636546,0.000602442811986694,0.45,0.45,0.45,0.45,0.45,0.45,0.00241282790462813,0.000513906117480587,0.000954286483399826,299,299,299 +"810","IAR_LU_segmented_3step","Vein",200,1,0.1,0.003,0.996782670893754,0.099908161968246,0.000602417326124585,0.45,0.45,0.45,0.45,0.45,0.45,0.00119125287281276,0.00026752645150961,0.000954060412685357,299,299,299 +"811","IAR_LU_subtracted","Artery",10,1,0.1,0.00299999999999999,0.868045922384154,0.0985985293146783,0.000602377539349993,0.45,0.45,0.45,0.45,0.45,0.45,0.112435321659538,0.00440048348345655,0.000954240122983693,299,299,299 +"812","IAR_LU_subtracted","Artery",30,1,0.1,0.00299999999999999,0.957942477947069,0.0996184418318211,0.00060239305244365,0.45,0.45,0.45,0.45,0.45,0.45,0.0334473349549559,0.00133438593579269,0.000954268289514292,299,299,299 +"813","IAR_LU_subtracted","Artery",50,1,0.1,0.00299999999999999,0.974974772688727,0.0997749955437601,0.000602405603200741,0.45,0.45,0.45,0.45,0.45,0.45,0.0196506919534024,0.000799331220696613,0.000954266532348308,299,299,299 +"814","IAR_LU_subtracted","Artery",100,1,0.1,0.00299999999999999,0.987563371296034,0.0998909406437503,0.000602442811986694,0.45,0.45,0.45,0.45,0.45,0.45,0.00967550352535155,0.000393844438217049,0.000954286483399826,299,299,299 +"815","IAR_LU_subtracted","Artery",200,1,0.1,0.00299999999999999,0.993800432483572,0.0999475578953041,0.000602417326124585,0.45,0.45,0.45,0.45,0.45,0.45,0.00480131473460813,0.000192683440753476,0.000954060412685357,299,299,299 +"816","IAR_LU_subtracted","asc lower intestine",10,0.69,0.029,0.00131,0.649071571633934,0.0374643243954711,0.00128397090175435,0.45,0.45,0.45,0.45,0.45,0.45,0.18701091479826,0.0225038113715007,0.0010310750352814,299,299,299 +"817","IAR_LU_subtracted","asc lower intestine",30,0.69,0.029,0.00131,0.681939176197222,0.0302945345465647,0.00132700874616123,0.45,0.45,0.45,0.45,0.45,0.45,0.0603891142489128,0.00615614452533456,0.000393814792063893,299,299,299 +"818","IAR_LU_subtracted","asc lower intestine",50,0.69,0.029,0.00131,0.686488325345325,0.0294805288040154,0.00131674147785283,0.45,0.45,0.45,0.45,0.45,0.45,0.0350265291348949,0.00317717209161681,0.000231513954749497,299,299,299 +"819","IAR_LU_subtracted","asc lower intestine",100,0.69,0.029,0.00131,0.688499643316402,0.0291663813609436,0.00131311787679812,0.45,0.45,0.45,0.45,0.45,0.45,0.0172978748922817,0.0015121416530667,0.000114727932084214,299,299,299 +"820","IAR_LU_subtracted","asc lower intestine",200,0.69,0.029,0.00131,0.689091142138847,0.0290838262952464,0.00131259560662869,0.45,0.45,0.45,0.45,0.45,0.45,0.00862471112769223,0.000746769041434366,5.72226395519967e-05,299,299,299 +"821","IAR_LU_subtracted","Blood RA",10,1,0.1,0.00299999999999999,0.868045922384154,0.0985985293146783,0.000602377539349993,0.45,0.45,0.45,0.45,0.45,0.45,0.112435321659538,0.00440048348345655,0.000954240122983693,299,299,299 +"822","IAR_LU_subtracted","Blood RA",30,1,0.1,0.00299999999999999,0.957942477947069,0.0996184418318211,0.00060239305244365,0.45,0.45,0.45,0.45,0.45,0.45,0.0334473349549559,0.00133438593579269,0.000954268289514292,299,299,299 +"823","IAR_LU_subtracted","Blood RA",50,1,0.1,0.00299999999999999,0.974974772688727,0.0997749955437601,0.000602405603200741,0.45,0.45,0.45,0.45,0.45,0.45,0.0196506919534024,0.000799331220696613,0.000954266532348308,299,299,299 +"824","IAR_LU_subtracted","Blood RA",100,1,0.1,0.00299999999999999,0.987563371296034,0.0998909406437503,0.000602442811986694,0.45,0.45,0.45,0.45,0.45,0.45,0.00967550352535155,0.000393844438217049,0.000954286483399826,299,299,299 +"825","IAR_LU_subtracted","Blood RA",200,1,0.1,0.00299999999999999,0.993800432483572,0.0999475578953041,0.000602417326124585,0.45,0.45,0.45,0.45,0.45,0.45,0.00480131473460813,0.000192683440753476,0.000954060412685357,299,299,299 +"826","IAR_LU_subtracted","Blood RV",10,1,0.1,0.003,0.868045922388077,0.0985985293170771,0.000602377539314825,0.45,0.45,0.45,0.45,0.45,0.45,0.112435321636501,0.00440048348198392,0.000954240122896554,299,299,299 +"827","IAR_LU_subtracted","Blood RV",30,1,0.1,0.003,0.957942477946737,0.0996184418317999,0.000602393052438452,0.45,0.45,0.45,0.45,0.45,0.45,0.033447334956949,0.00133438593586357,0.000954268289514534,299,299,299 +"828","IAR_LU_subtracted","Blood RV",50,1,0.1,0.003,0.974974772688138,0.0997749955437326,0.000602405603200741,0.45,0.45,0.45,0.45,0.45,0.45,0.0196506919536509,0.000799331220799176,0.000954266532348308,299,299,299 +"829","IAR_LU_subtracted","Blood RV",100,1,0.1,0.003,0.987563371296049,0.0998909406438783,0.000602442811986694,0.45,0.45,0.45,0.45,0.45,0.45,0.00967550352526221,0.000393844437553459,0.000954286483399826,299,299,299 +"830","IAR_LU_subtracted","Blood RV",200,1,0.1,0.003,0.993800432483625,0.0999475578955035,0.000602417326124585,0.45,0.45,0.45,0.45,0.45,0.45,0.00480131473462409,0.000192683440854932,0.000954060412685357,299,299,299 +"831","IAR_LU_subtracted","Bone Marrow",10,0.145,0.05,0.00042999999999999,0.1388521761893,0.0563549542902154,0.000431545915444662,0.45,0.45,0.45,0.45,0.45,0.45,0.103261011061621,0.0401606349336419,0.000222191156179115,299,299,299 +"832","IAR_LU_subtracted","Bone Marrow",30,0.145,0.05,0.00042999999999999,0.141537225542465,0.055783250894181,0.0004286448604233,0.45,0.45,0.45,0.45,0.45,0.45,0.0401640827103549,0.0283349505763347,7.57695024101959e-05,299,299,299 +"833","IAR_LU_subtracted","Bone Marrow",50,0.145,0.05,0.00042999999999999,0.143689159712056,0.0538239410554448,0.000429098807658733,0.45,0.45,0.45,0.45,0.45,0.45,0.0230459466222746,0.0208306151438434,4.54083167932052e-05,299,299,299 +"834","IAR_LU_subtracted","Bone Marrow",100,0.145,0.05,0.00042999999999999,0.144556117785993,0.0513216395500686,0.000429516608780042,0.45,0.45,0.45,0.45,0.45,0.45,0.0112484697259896,0.011296296603074,2.26892914406058e-05,299,299,299 +"835","IAR_LU_subtracted","Bone Marrow",200,0.145,0.05,0.00042999999999999,0.144802614342866,0.0503463730936504,0.000429750333394438,0.45,0.45,0.45,0.45,0.45,0.45,0.00562908674130294,0.00537744746417511,1.13417514976531e-05,299,299,299 +"836","IAR_LU_subtracted","desc lower intestine",10,0.69,0.029,0.00130999999999999,0.649071571628827,0.0374643243927892,0.00128397090166206,0.45,0.45,0.45,0.45,0.45,0.45,0.187010914827512,0.0225038113692864,0.00103107503526023,299,299,299 +"837","IAR_LU_subtracted","desc lower intestine",30,0.69,0.029,0.00130999999999999,0.681939176201117,0.0302945345472301,0.00132700874618162,0.45,0.45,0.45,0.45,0.45,0.45,0.0603891142254951,0.00615614452382718,0.00039381479193991,299,299,299 +"838","IAR_LU_subtracted","desc lower intestine",50,0.69,0.029,0.00130999999999999,0.68648832534274,0.0294805288044575,0.00131674147787292,0.45,0.45,0.45,0.45,0.45,0.45,0.0350265291395436,0.00317717209159129,0.000231513954771782,299,299,299 +"839","IAR_LU_subtracted","desc lower intestine",100,0.69,0.029,0.00130999999999999,0.688499643321615,0.029166381360703,0.00131311787677005,0.45,0.45,0.45,0.45,0.45,0.45,0.0172978748892445,0.00151214165283908,0.000114727932076757,299,299,299 +"840","IAR_LU_subtracted","desc lower intestine",200,0.69,0.029,0.00130999999999999,0.689091142138544,0.0290838262952854,0.00131259560663063,0.45,0.45,0.45,0.45,0.45,0.45,0.00862471112899964,0.000746769041507834,5.72226395666639e-05,299,299,299 +"841","IAR_LU_subtracted","esophagus",10,0.32,0.03,0.00167,0.298330818425157,0.0478246750765983,0.00169537630340193,0.45,0.45,0.45,0.45,0.45,0.45,0.186559712083326,0.0358367650691297,0.000699310473361664,299,299,299 +"842","IAR_LU_subtracted","esophagus",30,0.32,0.03,0.00167,0.313367488939781,0.0353086925778518,0.00167589442415218,0.45,0.45,0.45,0.45,0.45,0.45,0.0697310741883017,0.0175001916801992,0.000225181332917282,299,299,299 +"843","IAR_LU_subtracted","esophagus",50,0.32,0.03,0.00167,0.317127604783457,0.0320171438725116,0.00167205798908611,0.45,0.45,0.45,0.45,0.45,0.45,0.0406027687682632,0.00927812868812393,0.000134201428086798,299,299,299 +"844","IAR_LU_subtracted","esophagus",100,0.32,0.03,0.00167,0.318810590846915,0.0305459994591953,0.00167069900566133,0.45,0.45,0.45,0.45,0.45,0.45,0.0201363964562043,0.00396261967511091,6.69010973711844e-05,299,299,299 +"845","IAR_LU_subtracted","esophagus",200,0.32,0.03,0.00167,0.319373079067761,0.0301899562006874,0.00167049624612484,0.45,0.45,0.45,0.45,0.45,0.45,0.0100446243656633,0.00191465872478278,3.34227717080463e-05,299,299,299 +"846","IAR_LU_subtracted","esophagus cont",10,0.32,0.03,0.00167,0.298330818425157,0.0478246750765983,0.00169537630340193,0.45,0.45,0.45,0.45,0.45,0.45,0.186559712083326,0.0358367650691297,0.000699310473361664,299,299,299 +"847","IAR_LU_subtracted","esophagus cont",30,0.32,0.03,0.00167,0.313367488939781,0.0353086925778518,0.00167589442415218,0.45,0.45,0.45,0.45,0.45,0.45,0.0697310741883017,0.0175001916801992,0.000225181332917282,299,299,299 +"848","IAR_LU_subtracted","esophagus cont",50,0.32,0.03,0.00167,0.317127604783457,0.0320171438725116,0.00167205798908611,0.45,0.45,0.45,0.45,0.45,0.45,0.0406027687682632,0.00927812868812393,0.000134201428086798,299,299,299 +"849","IAR_LU_subtracted","esophagus cont",100,0.32,0.03,0.00167,0.318810590846915,0.0305459994591953,0.00167069900566133,0.45,0.45,0.45,0.45,0.45,0.45,0.0201363964562043,0.00396261967511091,6.69010973711844e-05,299,299,299 +"850","IAR_LU_subtracted","esophagus cont",200,0.32,0.03,0.00167,0.319373079067761,0.0301899562006874,0.00167049624612484,0.45,0.45,0.45,0.45,0.45,0.45,0.0100446243656633,0.00191465872478278,3.34227717080463e-05,299,299,299 +"851","IAR_LU_subtracted","gall bladder",10,0,0.1,0.00299999999999999,0.147662452764322,0.0525711113957363,0.00276375862273174,0.45,0.45,0.45,0.45,0.45,0.45,0.182394220371971,0.0459455490319682,0.000846065838805673,299,299,299 +"852","IAR_LU_subtracted","gall bladder",30,0,0.1,0.00299999999999999,0.0479330726341505,0.0593940033941325,0.00301559949423452,0.45,0.45,0.45,0.45,0.45,0.45,0.0710807586461333,0.0455428888107479,0.000365244593708125,299,299,299 +"853","IAR_LU_subtracted","gall bladder",50,0,0.1,0.00299999999999999,0.0295392969728081,0.0599004998753372,0.00300875829805823,0.45,0.45,0.45,0.45,0.45,0.45,0.0450443666923523,0.0453681332889521,0.0002205252334547,299,299,299 +"854","IAR_LU_subtracted","gall bladder",100,0,0.1,0.00299999999999999,0.0152758367017438,0.0600051510470794,0.00300272941236099,0.45,0.45,0.45,0.45,0.45,0.45,0.0236028362285722,0.0453633911717355,0.000109821675242164,299,299,299 +"855","IAR_LU_subtracted","gall bladder",200,0,0.1,0.00299999999999999,0.0077808495710111,0.0599789813431654,0.00300093274818275,0.45,0.45,0.45,0.45,0.45,0.45,0.0120965088668814,0.0453645846186151,5.48683426903983e-05,299,299,299 +"856","IAR_LU_subtracted","Left kidney cortex",10,0.097,0.02,0.00212,0.14213979402731,0.0516239847830045,0.00214004719496282,0.45,0.45,0.45,0.45,0.45,0.45,0.158085677025204,0.0439945158267697,0.000693964401384033,299,299,299 +"857","IAR_LU_subtracted","Left kidney cortex",30,0.097,0.02,0.00212,0.0959338993097258,0.0420674391434868,0.0021297407037008,0.45,0.45,0.45,0.45,0.45,0.45,0.0739900026008641,0.0375303377351247,0.000230468547854172,299,299,299 +"858","IAR_LU_subtracted","Left kidney cortex",50,0.097,0.02,0.00212,0.0934315763431255,0.0340972382270603,0.00212486470550974,0.45,0.45,0.45,0.45,0.45,0.45,0.0500162693148626,0.0291160218598072,0.000137434850582313,299,299,299 +"859","IAR_LU_subtracted","Left kidney cortex",100,0.097,0.02,0.00212,0.0945576430053885,0.0249352943322664,0.00212288817087808,0.45,0.45,0.45,0.45,0.45,0.45,0.0260691727759818,0.0148441465104737,6.85394294758574e-05,299,299,299 +"860","IAR_LU_subtracted","Left kidney cortex",200,0.097,0.02,0.00212,0.0952975146331108,0.0214206497432682,0.00212243012687663,0.45,0.45,0.45,0.45,0.45,0.45,0.0128746185695077,0.00497159905944298,3.42474968787025e-05,299,299,299 +"861","IAR_LU_subtracted","left kidney medulla",10,0.158,0.019,0.00209,0.179099288028231,0.0482195956241905,0.00210934037383571,0.45,0.45,0.45,0.45,0.45,0.45,0.173901182630869,0.0430434816693402,0.000728386366312476,299,299,299 +"862","IAR_LU_subtracted","left kidney medulla",30,0.158,0.019,0.00209,0.149852727318598,0.0336478370603615,0.00210327080298252,0.45,0.45,0.45,0.45,0.45,0.45,0.081471885999975,0.0294636447791161,0.000242646564228503,299,299,299 +"863","IAR_LU_subtracted","left kidney medulla",50,0.158,0.019,0.00209,0.152083542364696,0.0260759822074301,0.00209789750114162,0.45,0.45,0.45,0.45,0.45,0.45,0.0514396254060103,0.0189502415057605,0.000144591388188289,299,299,299 +"864","IAR_LU_subtracted","left kidney medulla",100,0.158,0.019,0.00209,0.154245618481177,0.0209707843980588,0.00209573127130611,0.45,0.45,0.45,0.45,0.45,0.45,0.0255469057806363,0.00644713982295025,7.20856679148625e-05,299,299,299 +"865","IAR_LU_subtracted","left kidney medulla",200,0.158,0.019,0.00209,0.154953783957048,0.0198168666853734,0.00209523459722322,0.45,0.45,0.45,0.45,0.45,0.45,0.0127402035219187,0.00249340492966497,3.60164249883863e-05,299,299,299 +"866","IAR_LU_subtracted","Liver",10,0.11,0.1,0.0015,0.121102796262656,0.0634637023292287,0.00152084809188092,0.45,0.45,0.45,0.45,0.45,0.45,0.130105575340284,0.0425007401607272,0.000472993211159269,299,299,299 +"867","IAR_LU_subtracted","Liver",30,0.11,0.1,0.0015,0.0977558608603766,0.0724781854232728,0.00150154707211704,0.45,0.45,0.45,0.45,0.45,0.45,0.0613502493964698,0.034666306804501,0.000152137743344338,299,299,299 +"868","IAR_LU_subtracted","Liver",50,0.11,0.1,0.0015,0.100463203481405,0.0787945272430514,0.00150017699860271,0.45,0.45,0.45,0.45,0.45,0.45,0.0409980511902564,0.0284510570921832,9.09784274199351e-05,299,299,299 +"869","IAR_LU_subtracted","Liver",100,0.11,0.1,0.0015,0.105490313170251,0.0868785527973936,0.00149980895512081,0.45,0.45,0.45,0.45,0.45,0.45,0.0208767035787053,0.0189325400054299,4.54189474712779e-05,299,299,299 +"870","IAR_LU_subtracted","Liver",200,0.11,0.1,0.0015,0.107911734542008,0.0926665405232451,0.00149983471124947,0.45,0.45,0.45,0.45,0.45,0.45,0.010493763751019,0.0109829786476278,2.26988859055568e-05,299,299,299 +"871","IAR_LU_subtracted","muscle",10,0.1,0.0263,0.00137,0.12172620441772,0.0527033491149259,0.00138731868382182,0.45,0.45,0.45,0.45,0.45,0.45,0.125682677733319,0.0430292976812705,0.000425998544182136,299,299,299 +"872","IAR_LU_subtracted","muscle",30,0.1,0.0263,0.00137,0.0973259823580486,0.0427565868201867,0.00137109207822908,0.45,0.45,0.45,0.45,0.45,0.45,0.0572693026512374,0.0343615553357172,0.000137401448295892,299,299,299 +"873","IAR_LU_subtracted","muscle",50,0.1,0.0263,0.00137,0.0979250266852975,0.0358461182375427,0.00137018713612453,0.45,0.45,0.45,0.45,0.45,0.45,0.0360864333977603,0.0250512864051964,8.22067351758789e-05,299,299,299 +"874","IAR_LU_subtracted","muscle",100,0.1,0.0263,0.00137,0.099185748831309,0.0294289022006348,0.00137002415646569,0.45,0.45,0.45,0.45,0.45,0.45,0.0175632906757962,0.0126527622968034,4.10479289223132e-05,299,299,299 +"875","IAR_LU_subtracted","muscle",200,0.1,0.0263,0.00137,0.0995453722073138,0.0271214500222548,0.00137010699964489,0.45,0.45,0.45,0.45,0.45,0.45,0.00872469549074949,0.00494806306633457,2.05152732594914e-05,299,299,299 +"876","IAR_LU_subtracted","Myocardium LV",10,0.15,0.08,0.00239999999999999,0.18117656216184,0.0608480933026817,0.00236368743530589,0.45,0.45,0.45,0.45,0.45,0.45,0.184591896787334,0.0423777379203459,0.000834068660005287,299,299,299 +"877","IAR_LU_subtracted","Myocardium LV",30,0.15,0.08,0.00239999999999999,0.13545581923211,0.069430128924693,0.00241303581596868,0.45,0.45,0.45,0.45,0.45,0.45,0.0900714015112206,0.0344690490968792,0.000296357666123884,299,299,299 +"878","IAR_LU_subtracted","Myocardium LV",50,0.15,0.08,0.00239999999999999,0.138545124432862,0.0733679478799371,0.00240494096838654,0.45,0.45,0.45,0.45,0.45,0.45,0.0612905843124753,0.0293934752477211,0.000176237551667564,299,299,299 +"879","IAR_LU_subtracted","Myocardium LV",100,0.15,0.08,0.00239999999999999,0.145564204171734,0.0781560546158022,0.00240130488987835,0.45,0.45,0.45,0.45,0.45,0.45,0.0307895196390128,0.0218220991068854,8.77945387526407e-05,299,299,299 +"880","IAR_LU_subtracted","Myocardium LV",200,0.15,0.08,0.00239999999999999,0.148714772592026,0.0805762053094485,0.00240036245149606,0.45,0.45,0.45,0.45,0.45,0.45,0.014524015522438,0.0147743447447959,4.38595761003687e-05,299,299,299 +"881","IAR_LU_subtracted","myocardium ra",10,0.07,0.07,0.00149999999999999,0.101868108096175,0.0606534117908803,0.00151975238382336,0.45,0.45,0.45,0.45,0.45,0.45,0.120898300209501,0.0434847654126452,0.000451902244580362,299,299,299 +"882","IAR_LU_subtracted","myocardium ra",30,0.07,0.07,0.00149999999999999,0.0669092818281443,0.0629092389172564,0.00150135088661537,0.45,0.45,0.45,0.45,0.45,0.45,0.0546753360579139,0.0390189483690374,0.000145531665803808,299,299,299 +"883","IAR_LU_subtracted","myocardium ra",50,0.07,0.07,0.00149999999999999,0.0649047689321951,0.065712480860044,0.00150012323568828,0.45,0.45,0.45,0.45,0.45,0.45,0.0373547816555919,0.0345082797236304,8.7051020303066e-05,299,299,299 +"884","IAR_LU_subtracted","myocardium ra",100,0.07,0.07,0.00149999999999999,0.0673614140088778,0.06973354692888,0.0014998056873571,0.45,0.45,0.45,0.45,0.45,0.45,0.0196998246818625,0.0271665305744552,4.34633528314348e-05,299,299,299 +"885","IAR_LU_subtracted","myocardium ra",200,0.07,0.07,0.00149999999999999,0.0692312276466208,0.0716133033303251,0.00149983895305546,0.45,0.45,0.45,0.45,0.45,0.45,0.00928973196994854,0.0191722698111538,2.17222536919786e-05,299,299,299 +"886","IAR_LU_subtracted","myocardium RV",10,0.15,0.08,0.0024,0.18117656197736,0.0608480933171104,0.00236368743581685,0.45,0.45,0.45,0.45,0.45,0.45,0.184591896904083,0.0423777378906302,0.00083406866022113,299,299,299 +"887","IAR_LU_subtracted","myocardium RV",30,0.15,0.08,0.0024,0.135455819197712,0.0694301289033337,0.00241303581609851,0.45,0.45,0.45,0.45,0.45,0.45,0.0900714015502255,0.0344690491181341,0.00029635766628923,299,299,299 +"888","IAR_LU_subtracted","myocardium RV",50,0.15,0.08,0.0024,0.138545124410159,0.0733679478841999,0.00240494096841768,0.45,0.45,0.45,0.45,0.45,0.45,0.0612905842727721,0.0293934752547605,0.000176237551477804,299,299,299 +"889","IAR_LU_subtracted","myocardium RV",100,0.15,0.08,0.0024,0.145564204173756,0.0781560546050807,0.00240130488986735,0.45,0.45,0.45,0.45,0.45,0.45,0.0307895196530896,0.0218220991047788,8.77945387539921e-05,299,299,299 +"890","IAR_LU_subtracted","myocardium RV",200,0.15,0.08,0.0024,0.148714772596565,0.0805762053100926,0.00240036245148733,0.45,0.45,0.45,0.45,0.45,0.45,0.0145240155122644,0.0147743447447439,4.38595760806971e-05,299,299,299 +"891","IAR_LU_subtracted","pancreas",10,0.15,0.00999999999999999,0.00129999999999999,0.145973572842188,0.0418322359336357,0.00134733544803823,0.45,0.45,0.45,0.45,0.45,0.45,0.133409112059929,0.042751573017299,0.000431649676072438,299,299,299 +"892","IAR_LU_subtracted","pancreas",30,0.15,0.00999999999999999,0.00129999999999999,0.128614984258976,0.0196787383199221,0.00133082551203659,0.45,0.45,0.45,0.45,0.45,0.45,0.0591082064273119,0.0231057149556617,0.00013904327490213,299,299,299 +"893","IAR_LU_subtracted","pancreas",50,0.15,0.00999999999999999,0.00129999999999999,0.129890010992704,0.0144188405257564,0.00132993185852035,0.45,0.45,0.45,0.45,0.45,0.45,0.0358391575334911,0.0125046852595043,8.3180681187491e-05,299,299,299 +"894","IAR_LU_subtracted","pancreas",100,0.15,0.00999999999999999,0.00129999999999999,0.130754692377403,0.0119016729055724,0.00132978575880063,0.45,0.45,0.45,0.45,0.45,0.45,0.0179785444815913,0.00250589698634925,4.1532158709095e-05,299,299,299 +"895","IAR_LU_subtracted","pancreas",200,0.15,0.00999999999999999,0.00129999999999999,0.131107657753141,0.0115757199629308,0.00132987961465998,0.45,0.45,0.45,0.45,0.45,0.45,0.0089990030572971,0.00109942058748634,2.07569284119625e-05,299,299,299 +"896","IAR_LU_subtracted","pericardium",10,0.07,0.01,0.003,0.182005007262894,0.044939951196378,0.0027370108223024,0.45,0.45,0.45,0.45,0.45,0.45,0.199393895176397,0.0446081429368365,0.000885042121987257,299,299,299 +"897","IAR_LU_subtracted","pericardium",30,0.07,0.01,0.003,0.0767264391679702,0.0483395663256636,0.00304612925833812,0.45,0.45,0.45,0.45,0.45,0.45,0.0884446643250277,0.0443972229937914,0.000391056261616707,299,299,299 +"898","IAR_LU_subtracted","pericardium",50,0.07,0.01,0.003,0.0607653172157524,0.0422176464496473,0.00304009046163891,0.45,0.45,0.45,0.45,0.45,0.45,0.0613396076405186,0.0421072613397339,0.000238152536606002,299,299,299 +"899","IAR_LU_subtracted","pericardium",100,0.07,0.01,0.003,0.0523575780973887,0.0289300539347269,0.00303324788655734,0.45,0.45,0.45,0.45,0.45,0.45,0.0371516507664255,0.0324742658393221,0.0001185006047455,299,299,299 +"900","IAR_LU_subtracted","pericardium",200,0.07,0.01,0.003,0.0514683101903879,0.0168738577989802,0.00303117957620993,0.45,0.45,0.45,0.45,0.45,0.45,0.0206465634747316,0.0152473955926032,5.91963411594801e-05,299,299,299 +"901","IAR_LU_subtracted","right kidney medulla",10,0.158,0.019,0.00209,0.179099288028231,0.0482195956241905,0.00210934037383571,0.45,0.45,0.45,0.45,0.45,0.45,0.173901182630869,0.0430434816693402,0.000728386366312476,299,299,299 +"902","IAR_LU_subtracted","right kidney medulla",30,0.158,0.019,0.00209,0.149852727318598,0.0336478370603615,0.00210327080298252,0.45,0.45,0.45,0.45,0.45,0.45,0.081471885999975,0.0294636447791161,0.000242646564228503,299,299,299 +"903","IAR_LU_subtracted","right kidney medulla",50,0.158,0.019,0.00209,0.152083542364696,0.0260759822074301,0.00209789750114162,0.45,0.45,0.45,0.45,0.45,0.45,0.0514396254060103,0.0189502415057605,0.000144591388188289,299,299,299 +"904","IAR_LU_subtracted","right kidney medulla",100,0.158,0.019,0.00209,0.154245618481177,0.0209707843980588,0.00209573127130611,0.45,0.45,0.45,0.45,0.45,0.45,0.0255469057806363,0.00644713982295025,7.20856679148625e-05,299,299,299 +"905","IAR_LU_subtracted","right kidney medulla",200,0.158,0.019,0.00209,0.154953783957048,0.0198168666853734,0.00209523459722322,0.45,0.45,0.45,0.45,0.45,0.45,0.0127402035219187,0.00249340492966497,3.60164249883863e-05,299,299,299 +"906","IAR_LU_subtracted","Right kydney cortex",10,0.097,0.02,0.00212,0.14213979402731,0.0516239847830045,0.00214004719496282,0.45,0.45,0.45,0.45,0.45,0.45,0.158085677025204,0.0439945158267697,0.000693964401384033,299,299,299 +"907","IAR_LU_subtracted","Right kydney cortex",30,0.097,0.02,0.00212,0.0959338993097258,0.0420674391434868,0.0021297407037008,0.45,0.45,0.45,0.45,0.45,0.45,0.0739900026008641,0.0375303377351247,0.000230468547854172,299,299,299 +"908","IAR_LU_subtracted","Right kydney cortex",50,0.097,0.02,0.00212,0.0934315763431255,0.0340972382270603,0.00212486470550974,0.45,0.45,0.45,0.45,0.45,0.45,0.0500162693148626,0.0291160218598072,0.000137434850582313,299,299,299 +"909","IAR_LU_subtracted","Right kydney cortex",100,0.097,0.02,0.00212,0.0945576430053885,0.0249352943322664,0.00212288817087808,0.45,0.45,0.45,0.45,0.45,0.45,0.0260691727759818,0.0148441465104737,6.85394294758574e-05,299,299,299 +"910","IAR_LU_subtracted","Right kydney cortex",200,0.097,0.02,0.00212,0.0952975146331108,0.0214206497432682,0.00212243012687663,0.45,0.45,0.45,0.45,0.45,0.45,0.0128746185695077,0.00497159905944298,3.42474968787025e-05,299,299,299 +"911","IAR_LU_subtracted","small intestine",10,0.69,0.029,0.00130999999999999,0.64907157063518,0.0374643243717414,0.00128397090178629,0.45,0.45,0.45,0.45,0.45,0.45,0.187010916554622,0.0225038113403913,0.00103107503559299,299,299,299 +"912","IAR_LU_subtracted","small intestine",30,0.69,0.029,0.00130999999999999,0.681939176206072,0.0302945345468332,0.00132700874615982,0.45,0.45,0.45,0.45,0.45,0.45,0.0603891142172352,0.00615614452158041,0.000393814791967693,299,299,299 +"913","IAR_LU_subtracted","small intestine",50,0.69,0.029,0.00130999999999999,0.686488325340302,0.0294805288048245,0.00131674147788471,0.45,0.45,0.45,0.45,0.45,0.45,0.035026529150225,0.00317717209276508,0.000231513954838717,299,299,299 +"914","IAR_LU_subtracted","small intestine",100,0.69,0.029,0.00130999999999999,0.688499643317493,0.0291663813610666,0.00131311787679501,0.45,0.45,0.45,0.45,0.45,0.45,0.0172978748925331,0.00151214165351716,0.000114727932099834,299,299,299 +"915","IAR_LU_subtracted","small intestine",200,0.69,0.029,0.00130999999999999,0.689091142135509,0.0290838262954834,0.0013125956066485,0.45,0.45,0.45,0.45,0.45,0.45,0.00862471113039869,0.000746769041425762,5.72226395704009e-05,299,299,299 +"916","IAR_LU_subtracted","spinal cord",10,0.178,0.0289,0.00040999999999999,0.170293066007058,0.0451723734942456,0.000412840797829311,0.45,0.45,0.45,0.45,0.45,0.45,0.107158973944998,0.0372709224332989,0.000226005046794059,299,299,299 +"917","IAR_LU_subtracted","spinal cord",30,0.178,0.0289,0.00040999999999999,0.176161274665773,0.0339699503935896,0.000408751133887252,0.45,0.45,0.45,0.45,0.45,0.45,0.0384767166603159,0.0191202984395687,7.77733038160346e-05,299,299,299 +"918","IAR_LU_subtracted","spinal cord",50,0.178,0.0289,0.00040999999999999,0.177114751599802,0.0309667671910797,0.000409223661276355,0.45,0.45,0.45,0.45,0.45,0.45,0.022672441913565,0.0109931721946504,4.66067427172647e-05,299,299,299 +"919","IAR_LU_subtracted","spinal cord",100,0.178,0.0289,0.00040999999999999,0.177551703445137,0.0294217319173448,0.000409657261395612,0.45,0.45,0.45,0.45,0.45,0.45,0.0113000478176203,0.00464186786331635,2.32874695356801e-05,299,299,299 +"920","IAR_LU_subtracted","spinal cord",200,0.178,0.0289,0.00040999999999999,0.177743055402277,0.0290634514304546,0.000409899477646005,0.45,0.45,0.45,0.45,0.45,0.45,0.00564287005148815,0.00224115941340866,1.16406473814349e-05,299,299,299 +"921","IAR_LU_subtracted","spleen",10,0.2,0.03,0.00129999999999999,0.192961858264326,0.0492597470708293,0.00131869223769686,0.45,0.45,0.45,0.45,0.45,0.45,0.14672006477434,0.0390143038825826,0.000459161541284809,299,299,299 +"922","IAR_LU_subtracted","spleen",30,0.2,0.03,0.00129999999999999,0.195619974064152,0.0378660228770104,0.00130108907088979,0.45,0.45,0.45,0.45,0.45,0.45,0.0582480816429302,0.023039660686796,0.000147366538355311,299,299,299 +"923","IAR_LU_subtracted","spleen",50,0.2,0.03,0.00129999999999999,0.198125993491708,0.0334346769916846,0.00130009526398064,0.45,0.45,0.45,0.45,0.45,0.45,0.0338600265549288,0.0141196943319749,8.81308203353264e-05,299,299,299 +"924","IAR_LU_subtracted","spleen",100,0.2,0.03,0.00129999999999999,0.199199769345078,0.0308742355910787,0.001299928493873,0.45,0.45,0.45,0.45,0.45,0.45,0.0167658026538479,0.00575644302146049,4.39969723252588e-05,299,299,299 +"925","IAR_LU_subtracted","spleen",200,0.2,0.03,0.00129999999999999,0.199585281953405,0.0302681533889571,0.00130002911399547,0.45,0.45,0.45,0.45,0.45,0.45,0.00835864747454564,0.00272874833950003,2.19877335574001e-05,299,299,299 +"926","IAR_LU_subtracted","st wall",10,0.3,0.012,0.0015,0.26269458582579,0.0319185645901489,0.00157773932653598,0.45,0.45,0.45,0.45,0.45,0.45,0.172890946386308,0.0349074036447096,0.000614593949967578,299,299,299 +"927","IAR_LU_subtracted","st wall",30,0.3,0.012,0.0015,0.271112584939015,0.0157552797218454,0.00155214816763269,0.45,0.45,0.45,0.45,0.45,0.45,0.0670076659694282,0.0109054102231177,0.000195511563827576,299,299,299 +"928","IAR_LU_subtracted","st wall",50,0.3,0.012,0.0015,0.2739867999706,0.0138065732182343,0.00154952132483661,0.45,0.45,0.45,0.45,0.45,0.45,0.0398746950901179,0.00322902951299186,0.000116680524462977,299,299,299 +"929","IAR_LU_subtracted","st wall",100,0.3,0.012,0.0015,0.275412083149687,0.0133114999993946,0.00154867358294334,0.45,0.45,0.45,0.45,0.45,0.45,0.0199011338256991,0.0013233805191402,5.81996976885613e-05,299,299,299 +"930","IAR_LU_subtracted","st wall",200,0.3,0.012,0.0015,0.275903272911915,0.0131993048908958,0.0015486037961845,0.45,0.45,0.45,0.45,0.45,0.45,0.00994694081988903,0.000634013715073789,2.90796049005558e-05,299,299,299 +"931","IAR_LU_subtracted","Stomach Contents",10,0,0,0.003,0.147662452496739,0.0525711114709569,0.00276375862420007,0.45,0.45,0.45,0.45,0.45,0.45,0.182394220415532,0.0459455490445979,0.000846065839104011,299,299,299 +"932","IAR_LU_subtracted","Stomach Contents",30,0,0,0.003,0.0479330726528428,0.0593940033975214,0.00301559949425432,0.45,0.45,0.45,0.45,0.45,0.45,0.0710807586517978,0.0455428887899079,0.000365244593696601,299,299,299 +"933","IAR_LU_subtracted","Stomach Contents",50,0,0,0.003,0.0295392969394021,0.0599005002089376,0.00300875829791531,0.45,0.45,0.45,0.45,0.45,0.45,0.0450443666886413,0.0453681330403391,0.000220525233123594,299,299,299 +"934","IAR_LU_subtracted","Stomach Contents",100,0,0,0.003,0.0152758366835841,0.0600051513730758,0.00300272941243643,0.45,0.45,0.45,0.45,0.45,0.45,0.0236028362356857,0.0453633912696944,0.000109821675209749,299,299,299 +"935","IAR_LU_subtracted","Stomach Contents",200,0,0,0.003,0.00778084957604751,0.0599789812000973,0.00300093274821417,0.45,0.45,0.45,0.45,0.45,0.45,0.0120965088605969,0.0453645846027086,5.48683426829861e-05,299,299,299 +"936","IAR_LU_subtracted","trans lower intestine",10,0.69,0.029,0.00130999999999999,0.649071571567166,0.037464324385318,0.00128397090178629,0.45,0.45,0.45,0.45,0.45,0.45,0.187010915027799,0.0225038113468096,0.00103107503559299,299,299,299 +"937","IAR_LU_subtracted","trans lower intestine",30,0.69,0.029,0.00130999999999999,0.681939176203752,0.0302945345463009,0.00132700874615982,0.45,0.45,0.45,0.45,0.45,0.45,0.0603891142173648,0.00615614452231295,0.000393814791967693,299,299,299 +"938","IAR_LU_subtracted","trans lower intestine",50,0.69,0.029,0.00130999999999999,0.686488325340787,0.0294805288049083,0.00131674147788471,0.45,0.45,0.45,0.45,0.45,0.45,0.0350265291502769,0.00317717209269235,0.000231513954838717,299,299,299 +"939","IAR_LU_subtracted","trans lower intestine",100,0.69,0.029,0.00130999999999999,0.688499643316927,0.0291663813609283,0.00131311787679501,0.45,0.45,0.45,0.45,0.45,0.45,0.0172978748928733,0.00151214165340536,0.000114727932099834,299,299,299 +"940","IAR_LU_subtracted","trans lower intestine",200,0.69,0.029,0.00130999999999999,0.689091142135544,0.0290838262954833,0.0013125956066485,0.45,0.45,0.45,0.45,0.45,0.45,0.0086247111300983,0.000746769041458226,5.72226395704009e-05,299,299,299 +"941","IAR_LU_subtracted","Vein",10,1,0.1,0.003,0.868045922383658,0.0985985293150582,0.000602377539365262,0.45,0.45,0.45,0.45,0.45,0.45,0.112435321603995,0.00440048348201647,0.000954240122974581,299,299,299 +"942","IAR_LU_subtracted","Vein",30,1,0.1,0.003,0.957942477946852,0.0996184418326707,0.00060239305244365,0.45,0.45,0.45,0.45,0.45,0.45,0.0334473349561743,0.00133438593435031,0.000954268289514292,299,299,299 +"943","IAR_LU_subtracted","Vein",50,1,0.1,0.003,0.974974772688412,0.0997749955436001,0.000602405603200741,0.45,0.45,0.45,0.45,0.45,0.45,0.0196506919525737,0.000799331221169125,0.000954266532348308,299,299,299 +"944","IAR_LU_subtracted","Vein",100,1,0.1,0.003,0.987563371296023,0.0998909406437419,0.000602442811986694,0.45,0.45,0.45,0.45,0.45,0.45,0.00967550352550441,0.000393844437618856,0.000954286483399826,299,299,299 +"945","IAR_LU_subtracted","Vein",200,1,0.1,0.003,0.993800432483541,0.0999475578951229,0.000602417326124585,0.45,0.45,0.45,0.45,0.45,0.45,0.00480131473453758,0.000192683440678621,0.000954060412685357,299,299,299 +"946","OGC_AmsterdamUMC_Bayesian_biexp","Artery",10,1,0.1,0.00299999999999999,0.914296491555338,0.124951038793113,0.000341385836346878,0.45,0.45,0.45,0.45,0.45,0.45,0.0338708793554179,0.0264916209809969,0.000759817538796138,299,299,299 +"947","OGC_AmsterdamUMC_Bayesian_biexp","Artery",30,1,0.1,0.00299999999999999,0.973099807358183,0.107393310942733,0.000232219877437837,0.45,0.45,0.45,0.45,0.45,0.45,0.00780496299937427,0.0074829521952279,0.00043041785307833,299,299,299 +"948","OGC_AmsterdamUMC_Bayesian_biexp","Artery",50,1,0.1,0.00299999999999999,0.984111285718873,0.104286408561905,0.000213374220328371,0.45,0.45,0.45,0.45,0.45,0.45,0.00467667444727816,0.00434410118359876,0.000410079720796856,299,299,299 +"949","OGC_AmsterdamUMC_Bayesian_biexp","Artery",100,1,0.1,0.00299999999999999,0.992309612905833,0.102048030144424,0.000179453382811866,0.45,0.45,0.45,0.45,0.45,0.45,0.00230378284786357,0.0021258030726679,0.000377336398764356,299,299,299 +"950","OGC_AmsterdamUMC_Bayesian_biexp","Artery",200,1,0.1,0.00299999999999999,0.996293986630143,0.100989063013544,0.00015368212515944,0.45,0.45,0.45,0.45,0.45,0.45,0.00114638308696868,0.00105306099406643,0.000356019702228346,299,299,299 +"951","OGC_AmsterdamUMC_Bayesian_biexp","asc lower intestine",10,0.69,0.029,0.00131,0.694246721175088,0.0332124663725216,0.00115663080641403,0.45,0.45,0.45,0.45,0.45,0.45,0.110159920555195,0.0193048618410987,0.000818020611340506,299,299,299 +"952","OGC_AmsterdamUMC_Bayesian_biexp","asc lower intestine",30,0.69,0.029,0.00131,0.690033160045606,0.0293545228842709,0.00129905862782343,0.45,0.45,0.45,0.45,0.45,0.45,0.0360830730216317,0.0036295152052049,0.000284878541504232,299,299,299 +"953","OGC_AmsterdamUMC_Bayesian_biexp","asc lower intestine",50,0.69,0.029,0.00131,0.689848015141453,0.029143835184586,0.00130367232475513,0.45,0.45,0.45,0.45,0.45,0.45,0.0213051057073701,0.00213565246067645,0.000165718540061328,299,299,299 +"954","OGC_AmsterdamUMC_Bayesian_biexp","asc lower intestine",100,0.69,0.029,0.00131,0.689697185150534,0.0291483379805802,0.00130810911726399,0.45,0.45,0.45,0.45,0.45,0.45,0.0108161434785642,0.00129079488891057,8.27238054205579e-05,299,299,299 +"955","OGC_AmsterdamUMC_Bayesian_biexp","asc lower intestine",200,0.69,0.029,0.00131,0.689676542517622,0.0290763058350923,0.00130801783765256,0.45,0.45,0.45,0.45,0.45,0.45,0.0058332082125656,0.000767398595522281,4.21801462848907e-05,299,299,299 +"956","OGC_AmsterdamUMC_Bayesian_biexp","Blood RA",10,1,0.1,0.00299999999999999,0.914296491555338,0.124951038793113,0.000341385836346878,0.45,0.45,0.45,0.45,0.45,0.45,0.0338708793554179,0.0264916209809969,0.000759817538796138,299,299,299 +"957","OGC_AmsterdamUMC_Bayesian_biexp","Blood RA",30,1,0.1,0.00299999999999999,0.973099807358183,0.107393310942733,0.000232219877437837,0.45,0.45,0.45,0.45,0.45,0.45,0.00780496299937427,0.0074829521952279,0.00043041785307833,299,299,299 +"958","OGC_AmsterdamUMC_Bayesian_biexp","Blood RA",50,1,0.1,0.00299999999999999,0.984111285718873,0.104286408561905,0.000213374220328371,0.45,0.45,0.45,0.45,0.45,0.45,0.00467667444727816,0.00434410118359876,0.000410079720796856,299,299,299 +"959","OGC_AmsterdamUMC_Bayesian_biexp","Blood RA",100,1,0.1,0.00299999999999999,0.992309612905833,0.102048030144424,0.000179453382811866,0.45,0.45,0.45,0.45,0.45,0.45,0.00230378284786357,0.0021258030726679,0.000377336398764356,299,299,299 +"960","OGC_AmsterdamUMC_Bayesian_biexp","Blood RA",200,1,0.1,0.00299999999999999,0.996293986630143,0.100989063013544,0.00015368212515944,0.45,0.45,0.45,0.45,0.45,0.45,0.00114638308696868,0.00105306099406643,0.000356019702228346,299,299,299 +"961","OGC_AmsterdamUMC_Bayesian_biexp","Blood RV",10,1,0.1,0.003,0.914297401004746,0.124952391582887,0.000341385315837157,0.45,0.45,0.45,0.45,0.45,0.45,0.0338704200880721,0.0264919309675768,0.000759817497225985,299,299,299 +"962","OGC_AmsterdamUMC_Bayesian_biexp","Blood RV",30,1,0.1,0.003,0.973099598376866,0.107393352119341,0.000232219992515836,0.45,0.45,0.45,0.45,0.45,0.45,0.00780473426493649,0.00748303413275565,0.000430417814946813,299,299,299 +"963","OGC_AmsterdamUMC_Bayesian_biexp","Blood RV",50,1,0.1,0.003,0.984110980162476,0.104286733344672,0.000213374085275976,0.45,0.45,0.45,0.45,0.45,0.45,0.00467665532925233,0.00434422535404416,0.000410079794992667,299,299,299 +"964","OGC_AmsterdamUMC_Bayesian_biexp","Blood RV",100,1,0.1,0.003,0.992309672842335,0.102048011852143,0.000179453249523488,0.45,0.45,0.45,0.45,0.45,0.45,0.00230376286511362,0.00212585312384098,0.0003773364651911,299,299,299 +"965","OGC_AmsterdamUMC_Bayesian_biexp","Blood RV",200,1,0.1,0.003,0.996293917212231,0.100989102049737,0.000153682190571484,0.45,0.45,0.45,0.45,0.45,0.45,0.0011463180878882,0.00105305653525395,0.000356019214536034,299,299,299 +"966","OGC_AmsterdamUMC_Bayesian_biexp","Bone Marrow",10,0.145,0.05,0.00042999999999999,0.176639226783109,0.389583050299549,0.000383387458835231,0.45,0.45,0.45,0.45,0.45,0.45,0.0887294132490275,0.655579783977387,0.000175273120343103,299,299,299 +"967","OGC_AmsterdamUMC_Bayesian_biexp","Bone Marrow",30,0.145,0.05,0.00042999999999999,0.149539173159198,0.0643222259557983,0.000420949314593669,0.45,0.45,0.45,0.45,0.45,0.45,0.0251135532028218,0.063970595608034,5.40657969224264e-05,299,299,299 +"968","OGC_AmsterdamUMC_Bayesian_biexp","Bone Marrow",50,0.145,0.05,0.00042999999999999,0.146346605323418,0.0536623023951274,0.000426358113784625,0.45,0.45,0.45,0.45,0.45,0.45,0.0145394760040506,0.0219921275274301,3.05949156484796e-05,299,299,299 +"969","OGC_AmsterdamUMC_Bayesian_biexp","Bone Marrow",100,0.145,0.05,0.00042999999999999,0.145227054607,0.0506711565324072,0.000428686154847185,0.45,0.45,0.45,0.45,0.45,0.45,0.00720249775693967,0.0081065189095208,1.48104736534151e-05,299,299,299 +"970","OGC_AmsterdamUMC_Bayesian_biexp","Bone Marrow",200,0.145,0.05,0.00042999999999999,0.145004024783351,0.0501538173932498,0.000429468693760554,0.45,0.45,0.45,0.45,0.45,0.45,0.00362071542411469,0.00383017490694593,7.372704944999e-06,299,299,299 +"971","OGC_AmsterdamUMC_Bayesian_biexp","desc lower intestine",10,0.69,0.029,0.00130999999999999,0.69424656852201,0.0332126145881405,0.00115663069502395,0.45,0.45,0.45,0.45,0.45,0.45,0.110159649438512,0.0193047966137513,0.000818020419836645,299,299,299 +"972","OGC_AmsterdamUMC_Bayesian_biexp","desc lower intestine",30,0.69,0.029,0.00130999999999999,0.69003306346569,0.029354534717219,0.00129905918551315,0.45,0.45,0.45,0.45,0.45,0.45,0.0360831043009683,0.00362952291504055,0.000284878938217977,299,299,299 +"973","OGC_AmsterdamUMC_Bayesian_biexp","desc lower intestine",50,0.69,0.029,0.00130999999999999,0.689921461333796,0.0291386525654522,0.00130314919962015,0.45,0.45,0.45,0.45,0.45,0.45,0.0213772086368154,0.00213834378690781,0.00016610471499102,299,299,299 +"974","OGC_AmsterdamUMC_Bayesian_biexp","desc lower intestine",100,0.69,0.029,0.00130999999999999,0.689705421989319,0.0291477648256609,0.00130805345683055,0.45,0.45,0.45,0.45,0.45,0.45,0.0108249941270897,0.00129122209780313,8.27805820104284e-05,299,299,299 +"975","OGC_AmsterdamUMC_Bayesian_biexp","desc lower intestine",200,0.69,0.029,0.00130999999999999,0.689676534345654,0.0290763069221771,0.00130801782668872,0.45,0.45,0.45,0.45,0.45,0.45,0.00583320849067895,0.000767399791040209,4.21802135036578e-05,299,299,299 +"976","OGC_AmsterdamUMC_Bayesian_biexp","esophagus",10,0.32,0.03,0.00167,0.35995524961366,0.150153739583945,0.0015441567845887,0.45,0.45,0.45,0.45,0.45,0.45,0.145796629892715,0.408739390562099,0.00057338806018149,299,299,299 +"977","OGC_AmsterdamUMC_Bayesian_biexp","esophagus",30,0.32,0.03,0.00167,0.324530722468136,0.0317521373682142,0.00165212636307017,0.45,0.45,0.45,0.45,0.45,0.45,0.0414505525729528,0.0103053537582784,0.000164124071560217,299,299,299 +"978","OGC_AmsterdamUMC_Bayesian_biexp","esophagus",50,0.32,0.03,0.00167,0.321549180182956,0.0304971604293327,0.00166183299704198,0.45,0.45,0.45,0.45,0.45,0.45,0.0241326304077825,0.00522280327734257,9.57090173155782e-05,299,299,299 +"979","OGC_AmsterdamUMC_Bayesian_biexp","esophagus",100,0.32,0.03,0.00167,0.320358987505605,0.0301033538685073,0.00166686161974675,0.45,0.45,0.45,0.45,0.45,0.45,0.0118402461479432,0.00247507276308947,4.7082809057441e-05,299,299,299 +"980","OGC_AmsterdamUMC_Bayesian_biexp","esophagus",200,0.32,0.03,0.00167,0.320077249149958,0.0300206492956908,0.00166866783860404,0.45,0.45,0.45,0.45,0.45,0.45,0.00588720642359301,0.0012208201045334,2.34327732020988e-05,299,299,299 +"981","OGC_AmsterdamUMC_Bayesian_biexp","esophagus cont",10,0.32,0.03,0.00167,0.35995524961366,0.150153739583945,0.0015441567845887,0.45,0.45,0.45,0.45,0.45,0.45,0.145796629892715,0.408739390562099,0.00057338806018149,299,299,299 +"982","OGC_AmsterdamUMC_Bayesian_biexp","esophagus cont",30,0.32,0.03,0.00167,0.324530722468136,0.0317521373682142,0.00165212636307017,0.45,0.45,0.45,0.45,0.45,0.45,0.0414505525729528,0.0103053537582784,0.000164124071560217,299,299,299 +"983","OGC_AmsterdamUMC_Bayesian_biexp","esophagus cont",50,0.32,0.03,0.00167,0.321549180182956,0.0304971604293327,0.00166183299704198,0.45,0.45,0.45,0.45,0.45,0.45,0.0241326304077825,0.00522280327734257,9.57090173155782e-05,299,299,299 +"984","OGC_AmsterdamUMC_Bayesian_biexp","esophagus cont",100,0.32,0.03,0.00167,0.320358987505605,0.0301033538685073,0.00166686161974675,0.45,0.45,0.45,0.45,0.45,0.45,0.0118402461479432,0.00247507276308947,4.7082809057441e-05,299,299,299 +"985","OGC_AmsterdamUMC_Bayesian_biexp","esophagus cont",200,0.32,0.03,0.00167,0.320077249149958,0.0300206492956908,0.00166866783860404,0.45,0.45,0.45,0.45,0.45,0.45,0.00588720642359301,0.0012208201045334,2.34327732020988e-05,299,299,299 +"986","OGC_AmsterdamUMC_Bayesian_biexp","gall bladder",10,0,0.1,0.00299999999999999,0.163122057355286,0.298573431972819,0.00250243671104325,0.45,0.45,0.45,0.45,0.45,0.45,0.23621884034263,0.622347874371263,0.000735422297581317,299,299,299 +"987","OGC_AmsterdamUMC_Bayesian_biexp","gall bladder",30,0,0.1,0.00299999999999999,0.0594223048093054,0.311775291996304,0.00286763261090337,0.45,0.45,0.45,0.45,0.45,0.45,0.123601449669797,0.641775144296597,0.000282976613520621,299,299,299 +"988","OGC_AmsterdamUMC_Bayesian_biexp","gall bladder",50,0,0.1,0.00299999999999999,0.0371782115200674,0.280658466924059,0.00292299759568065,0.45,0.45,0.45,0.45,0.45,0.45,0.086961481551992,0.595841213375079,0.000174853825298694,299,299,299 +"989","OGC_AmsterdamUMC_Bayesian_biexp","gall bladder",100,0,0.1,0.00299999999999999,0.015017783182362,0.282120639538287,0.00296933153717082,0.45,0.45,0.45,0.45,0.45,0.45,0.0427699384849677,0.594670299052417,8.2960124697251e-05,299,299,299 +"990","OGC_AmsterdamUMC_Bayesian_biexp","gall bladder",200,0,0.1,0.00299999999999999,0.00741606173280553,0.282996164070416,0.00298543376349065,0.45,0.45,0.45,0.45,0.45,0.45,0.02276144411054,0.59402543993281,4.03126825105493e-05,299,299,299 +"991","OGC_AmsterdamUMC_Bayesian_biexp","Left kidney cortex",10,0.097,0.02,0.00212,0.188596572685199,0.385831039883312,0.00189897609609498,0.45,0.45,0.45,0.45,0.45,0.45,0.198632494096536,0.722936113519617,0.000578513574841219,299,299,299 +"992","OGC_AmsterdamUMC_Bayesian_biexp","Left kidney cortex",30,0.097,0.02,0.00212,0.141555513319658,0.17712340325286,0.00204073967739921,0.45,0.45,0.45,0.45,0.45,0.45,0.111543619821617,0.465680625794026,0.000257701453860321,299,299,299 +"993","OGC_AmsterdamUMC_Bayesian_biexp","Left kidney cortex",50,0.097,0.02,0.00212,0.118643922081606,0.0421244291772527,0.00207969517502297,0.45,0.45,0.45,0.45,0.45,0.45,0.0678075161062481,0.14086594416881,0.000152120320312512,299,299,299 +"994","OGC_AmsterdamUMC_Bayesian_biexp","Left kidney cortex",100,0.097,0.02,0.00212,0.100892171431045,0.0228352809862843,0.00211127104503827,0.45,0.45,0.45,0.45,0.45,0.45,0.0233124510593522,0.0197315452249424,6.31243655675189e-05,299,299,299 +"995","OGC_AmsterdamUMC_Bayesian_biexp","Left kidney cortex",200,0.097,0.02,0.00212,0.0979494403439556,0.0203223996833872,0.00211717788580963,0.45,0.45,0.45,0.45,0.45,0.45,0.0105263254249096,0.00334817852355355,2.95709044563407e-05,299,299,299 +"996","OGC_AmsterdamUMC_Bayesian_biexp","left kidney medulla",10,0.158,0.019,0.00209,0.253952864002308,0.304950429151423,0.00184048044876738,0.45,0.45,0.45,0.45,0.45,0.45,0.214213197637933,0.626011038245362,0.000641541700037926,299,299,299 +"997","OGC_AmsterdamUMC_Bayesian_biexp","left kidney medulla",30,0.158,0.019,0.00209,0.190171130178663,0.0511649495124037,0.00202203579587968,0.45,0.45,0.45,0.45,0.45,0.45,0.10459577771387,0.179584363579514,0.00027313693132376,299,299,299 +"998","OGC_AmsterdamUMC_Bayesian_biexp","left kidney medulla",50,0.158,0.019,0.00209,0.168047576006992,0.0329672911242216,0.00206752781385879,0.45,0.45,0.45,0.45,0.45,0.45,0.0512709641268927,0.126949727330615,0.000142980386093099,299,299,299 +"999","OGC_AmsterdamUMC_Bayesian_biexp","left kidney medulla",100,0.158,0.019,0.00209,0.160311837881477,0.0195051664051028,0.0020832233100509,0.45,0.45,0.45,0.45,0.45,0.45,0.0220990967930741,0.00402428297219528,6.45335266457197e-05,299,299,299 +"1000","OGC_AmsterdamUMC_Bayesian_biexp","left kidney medulla",200,0.158,0.019,0.00209,0.158557258249577,0.0191206454505599,0.00208778234601869,0.45,0.45,0.45,0.45,0.45,0.45,0.0107178685553389,0.00195416181473647,3.17220496353745e-05,299,299,299 +"1001","OGC_AmsterdamUMC_Bayesian_biexp","Liver",10,0.11,0.1,0.0015,0.170376564882108,0.469616209489762,0.00136302767202211,0.45,0.45,0.45,0.45,0.45,0.45,0.138211368776015,0.731976840414104,0.000361913909318564,299,299,299 +"1002","OGC_AmsterdamUMC_Bayesian_biexp","Liver",30,0.11,0.1,0.0015,0.11810940657777,0.227068026042997,0.0014860402075791,0.45,0.45,0.45,0.45,0.45,0.45,0.0342593875584427,0.390847594433051,9.96091018932598e-05,299,299,299 +"1003","OGC_AmsterdamUMC_Bayesian_biexp","Liver",50,0.11,0.1,0.0015,0.112169947194152,0.131862486304358,0.00149587941679805,0.45,0.45,0.45,0.45,0.45,0.45,0.0153976558796226,0.168625986104975,5.11568481112502e-05,299,299,299 +"1004","OGC_AmsterdamUMC_Bayesian_biexp","Liver",100,0.11,0.1,0.0015,0.110516960663717,0.104566165417941,0.00149817275530986,0.45,0.45,0.45,0.45,0.45,0.45,0.00752550525764433,0.0281966308117207,2.46815644447154e-05,299,299,299 +"1005","OGC_AmsterdamUMC_Bayesian_biexp","Liver",200,0.11,0.1,0.0015,0.110097109059224,0.101175495734664,0.00149922432315367,0.45,0.45,0.45,0.45,0.45,0.45,0.00376626520198992,0.0116170123481358,1.22063280870859e-05,299,299,299 +"1006","OGC_AmsterdamUMC_Bayesian_biexp","muscle",10,0.1,0.0263,0.00137,0.159491715993111,0.4440963410302,0.00125859387950644,0.45,0.45,0.45,0.45,0.45,0.45,0.151785351020147,0.744104070955339,0.000361818680737002,299,299,299 +"1007","OGC_AmsterdamUMC_Bayesian_biexp","muscle",30,0.1,0.0263,0.00137,0.122220925882658,0.122788391503578,0.00133233984839886,0.45,0.45,0.45,0.45,0.45,0.45,0.0620914770601356,0.365782231295307,0.000137424099495519,299,299,299 +"1008","OGC_AmsterdamUMC_Bayesian_biexp","muscle",50,0.1,0.0263,0.00137,0.107427987862115,0.0475629741182243,0.00135558330585992,0.45,0.45,0.45,0.45,0.45,0.45,0.0302472125689084,0.164166512632766,7.30704146923943e-05,299,299,299 +"1009","OGC_AmsterdamUMC_Bayesian_biexp","muscle",100,0.1,0.0263,0.00137,0.101433987910009,0.0274988357559857,0.00136614202292207,0.45,0.45,0.45,0.45,0.45,0.45,0.0126368358997001,0.00784277574118592,3.2587342635206e-05,299,299,299 +"1010","OGC_AmsterdamUMC_Bayesian_biexp","muscle",200,0.1,0.0263,0.00137,0.100323194533358,0.0265319724850317,0.00136866310217022,0.45,0.45,0.45,0.45,0.45,0.45,0.00608016567322648,0.00344989841672315,1.57921425082502e-05,299,299,299 +"1011","OGC_AmsterdamUMC_Bayesian_biexp","Myocardium LV",10,0.15,0.08,0.00239999999999999,0.246962004231468,0.347252759896539,0.00209273844847395,0.45,0.45,0.45,0.45,0.45,0.45,0.180896813543515,0.627653933290197,0.000655253116746841,299,299,299 +"1012","OGC_AmsterdamUMC_Bayesian_biexp","Myocardium LV",30,0.15,0.08,0.00239999999999999,0.158674576008813,0.15074065983138,0.00238008270296786,0.45,0.45,0.45,0.45,0.45,0.45,0.0443363487011027,0.290507021952376,0.000184741153961688,299,299,299 +"1013","OGC_AmsterdamUMC_Bayesian_biexp","Myocardium LV",50,0.15,0.08,0.00239999999999999,0.151909723604786,0.0991021390556095,0.00239319064122384,0.45,0.45,0.45,0.45,0.45,0.45,0.0178980846043853,0.15901552386028,9.104292331444e-05,299,299,299 +"1014","OGC_AmsterdamUMC_Bayesian_biexp","Myocardium LV",100,0.15,0.08,0.00239999999999999,0.150453991945511,0.0818375400183529,0.00239709066765332,0.45,0.45,0.45,0.45,0.45,0.45,0.00854548568367658,0.0146134968895775,4.39784436864101e-05,299,299,299 +"1015","OGC_AmsterdamUMC_Bayesian_biexp","Myocardium LV",200,0.15,0.08,0.00239999999999999,0.150083314775392,0.0805214250369389,0.00239877340806022,0.45,0.45,0.45,0.45,0.45,0.45,0.00424835960031815,0.00705239981286341,2.18887116713149e-05,299,299,299 +"1016","OGC_AmsterdamUMC_Bayesian_biexp","myocardium ra",10,0.07,0.07,0.00149999999999999,0.133831827877009,0.460854973186515,0.00136638858546529,0.45,0.45,0.45,0.45,0.45,0.45,0.142013404303938,0.734562898027198,0.000348829761628328,299,299,299 +"1017","OGC_AmsterdamUMC_Bayesian_biexp","myocardium ra",30,0.07,0.07,0.00149999999999999,0.088378522803018,0.290058326114243,0.00146786119977654,0.45,0.45,0.45,0.45,0.45,0.45,0.0513006882220634,0.529217572035711,0.000119962077139277,299,299,299 +"1018","OGC_AmsterdamUMC_Bayesian_biexp","myocardium ra",50,0.07,0.07,0.00149999999999999,0.0755864638686564,0.157381050785614,0.00149091718706257,0.45,0.45,0.45,0.45,0.45,0.45,0.022724009156561,0.309326526551583,6.14634605361262e-05,299,299,299 +"1019","OGC_AmsterdamUMC_Bayesian_biexp","myocardium ra",100,0.07,0.07,0.00149999999999999,0.0709637803549482,0.0784531897271379,0.00149743332957568,0.45,0.45,0.45,0.45,0.45,0.45,0.00811744971038997,0.0469193741763648,2.52784198820618e-05,299,299,299 +"1020","OGC_AmsterdamUMC_Bayesian_biexp","myocardium ra",200,0.07,0.07,0.00149999999999999,0.0701853835620769,0.0715683519821708,0.00149905580137121,0.45,0.45,0.45,0.45,0.45,0.45,0.00403484408314625,0.0129925080713696,1.23370800281616e-05,299,299,299 +"1021","OGC_AmsterdamUMC_Bayesian_biexp","myocardium RV",10,0.15,0.08,0.0024,0.246528057993086,0.348133573670134,0.00209292204576382,0.45,0.45,0.45,0.45,0.45,0.45,0.181136487063064,0.627154956139103,0.000656664356996355,299,299,299 +"1022","OGC_AmsterdamUMC_Bayesian_biexp","myocardium RV",30,0.15,0.08,0.0024,0.158668838613204,0.150740461102485,0.00238012869761748,0.45,0.45,0.45,0.45,0.45,0.45,0.0443353824331391,0.290507087513729,0.000184759298657244,299,299,299 +"1023","OGC_AmsterdamUMC_Bayesian_biexp","myocardium RV",50,0.15,0.08,0.0024,0.151909831264822,0.0991014776301079,0.00239319000458008,0.45,0.45,0.45,0.45,0.45,0.45,0.0178980966389395,0.159015209142849,9.10430294136255e-05,299,299,299 +"1024","OGC_AmsterdamUMC_Bayesian_biexp","myocardium RV",100,0.15,0.08,0.0024,0.150454060272023,0.0818373819943648,0.00239709009607841,0.45,0.45,0.45,0.45,0.45,0.45,0.00854549598591259,0.0146137633049668,4.39787671840434e-05,299,299,299 +"1025","OGC_AmsterdamUMC_Bayesian_biexp","myocardium RV",200,0.15,0.08,0.0024,0.150083028962968,0.0805213406256401,0.00239877336481973,0.45,0.45,0.45,0.45,0.45,0.45,0.00424830284517062,0.00705220839059697,2.18885732842309e-05,299,299,299 +"1026","OGC_AmsterdamUMC_Bayesian_biexp","pancreas",10,0.15,0.00999999999999999,0.00129999999999999,0.17811084992598,0.430625104718361,0.00125389139959056,0.45,0.45,0.45,0.45,0.45,0.45,0.165487304927659,0.745099295785527,0.000398810938199379,299,299,299 +"1027","OGC_AmsterdamUMC_Bayesian_biexp","pancreas",30,0.15,0.00999999999999999,0.00129999999999999,0.176283369553011,0.0605400655181396,0.00126133749912521,0.45,0.45,0.45,0.45,0.45,0.45,0.0941152813141119,0.261125737376908,0.000185575722063269,299,299,299 +"1028","OGC_AmsterdamUMC_Bayesian_biexp","pancreas",50,0.15,0.00999999999999999,0.00129999999999999,0.170382220673854,0.0171404030738927,0.00126815785258393,0.45,0.45,0.45,0.45,0.45,0.45,0.0690024806382979,0.0530385210468324,0.000128898840363556,299,299,299 +"1029","OGC_AmsterdamUMC_Bayesian_biexp","pancreas",100,0.15,0.00999999999999999,0.00129999999999999,0.156721528836846,0.0102863986445041,0.00128846345404747,0.45,0.45,0.45,0.45,0.45,0.45,0.0330765401251045,0.00281117212823941,6.18844279424908e-05,299,299,299 +"1030","OGC_AmsterdamUMC_Bayesian_biexp","pancreas",200,0.15,0.00999999999999999,0.00129999999999999,0.151578548309142,0.0100494124484336,0.00129682375105708,0.45,0.45,0.45,0.45,0.45,0.45,0.0150327650459708,0.00127670353948918,2.91162092214322e-05,299,299,299 +"1031","OGC_AmsterdamUMC_Bayesian_biexp","pericardium",10,0.07,0.01,0.003,0.215479457310341,0.249936988367763,0.00248641791032422,0.45,0.45,0.45,0.45,0.45,0.45,0.264279555820472,0.559462999627646,0.000895037706028721,299,299,299 +"1032","OGC_AmsterdamUMC_Bayesian_biexp","pericardium",30,0.07,0.01,0.003,0.12677517332788,0.268539406586251,0.00288680749203604,0.45,0.45,0.45,0.45,0.45,0.45,0.178925077551382,0.594592379930553,0.000415607535994981,299,299,299 +"1033","OGC_AmsterdamUMC_Bayesian_biexp","pericardium",50,0.07,0.01,0.003,0.117332944131333,0.228944357039763,0.00293133831001031,0.45,0.45,0.45,0.45,0.45,0.45,0.148727000374431,0.55411985852665,0.00029886538365063,299,299,299 +"1034","OGC_AmsterdamUMC_Bayesian_biexp","pericardium",100,0.07,0.01,0.003,0.114539755790525,0.10142633502289,0.00294735414662154,0.45,0.45,0.45,0.45,0.45,0.45,0.116431453401373,0.331566985402009,0.000201375223397786,299,299,299 +"1035","OGC_AmsterdamUMC_Bayesian_biexp","pericardium",200,0.07,0.01,0.003,0.0985673245061546,0.0153341830880181,0.0029646940649284,0.45,0.45,0.45,0.45,0.45,0.45,0.0772498800165873,0.0233447757985128,0.000123562549455504,299,299,299 +"1036","OGC_AmsterdamUMC_Bayesian_biexp","right kidney medulla",10,0.158,0.019,0.00209,0.253952864002308,0.304950429151423,0.00184048044876738,0.45,0.45,0.45,0.45,0.45,0.45,0.214213197637933,0.626011038245362,0.000641541700037926,299,299,299 +"1037","OGC_AmsterdamUMC_Bayesian_biexp","right kidney medulla",30,0.158,0.019,0.00209,0.190171130178663,0.0511649495124037,0.00202203579587968,0.45,0.45,0.45,0.45,0.45,0.45,0.10459577771387,0.179584363579514,0.00027313693132376,299,299,299 +"1038","OGC_AmsterdamUMC_Bayesian_biexp","right kidney medulla",50,0.158,0.019,0.00209,0.168047576006992,0.0329672911242216,0.00206752781385879,0.45,0.45,0.45,0.45,0.45,0.45,0.0512709641268927,0.126949727330615,0.000142980386093099,299,299,299 +"1039","OGC_AmsterdamUMC_Bayesian_biexp","right kidney medulla",100,0.158,0.019,0.00209,0.160311837881477,0.0195051664051028,0.0020832233100509,0.45,0.45,0.45,0.45,0.45,0.45,0.0220990967930741,0.00402428297219528,6.45335266457197e-05,299,299,299 +"1040","OGC_AmsterdamUMC_Bayesian_biexp","right kidney medulla",200,0.158,0.019,0.00209,0.158557258249577,0.0191206454505599,0.00208778234601869,0.45,0.45,0.45,0.45,0.45,0.45,0.0107178685553389,0.00195416181473647,3.17220496353745e-05,299,299,299 +"1041","OGC_AmsterdamUMC_Bayesian_biexp","Right kydney cortex",10,0.097,0.02,0.00212,0.188596572685199,0.385831039883312,0.00189897609609498,0.45,0.45,0.45,0.45,0.45,0.45,0.198632494096536,0.722936113519617,0.000578513574841219,299,299,299 +"1042","OGC_AmsterdamUMC_Bayesian_biexp","Right kydney cortex",30,0.097,0.02,0.00212,0.141555513319658,0.17712340325286,0.00204073967739921,0.45,0.45,0.45,0.45,0.45,0.45,0.111543619821617,0.465680625794026,0.000257701453860321,299,299,299 +"1043","OGC_AmsterdamUMC_Bayesian_biexp","Right kydney cortex",50,0.097,0.02,0.00212,0.118643922081606,0.0421244291772527,0.00207969517502297,0.45,0.45,0.45,0.45,0.45,0.45,0.0678075161062481,0.14086594416881,0.000152120320312512,299,299,299 +"1044","OGC_AmsterdamUMC_Bayesian_biexp","Right kydney cortex",100,0.097,0.02,0.00212,0.100892171431045,0.0228352809862843,0.00211127104503827,0.45,0.45,0.45,0.45,0.45,0.45,0.0233124510593522,0.0197315452249424,6.31243655675189e-05,299,299,299 +"1045","OGC_AmsterdamUMC_Bayesian_biexp","Right kydney cortex",200,0.097,0.02,0.00212,0.0979494403439556,0.0203223996833872,0.00211717788580963,0.45,0.45,0.45,0.45,0.45,0.45,0.0105263254249096,0.00334817852355355,2.95709044563407e-05,299,299,299 +"1046","OGC_AmsterdamUMC_Bayesian_biexp","small intestine",10,0.69,0.029,0.00130999999999999,0.694246437688409,0.0332125155045132,0.0011566309296673,0.45,0.45,0.45,0.45,0.45,0.45,0.110159680762793,0.0193048550816635,0.000818020954736129,299,299,299 +"1047","OGC_AmsterdamUMC_Bayesian_biexp","small intestine",30,0.69,0.029,0.00130999999999999,0.690033008394461,0.0293545353775848,0.00129905944541089,0.45,0.45,0.45,0.45,0.45,0.45,0.0360831051511863,0.0036295232196821,0.000284879672486666,299,299,299 +"1048","OGC_AmsterdamUMC_Bayesian_biexp","small intestine",50,0.69,0.029,0.00130999999999999,0.689848903762841,0.029143769198153,0.00130366629328021,0.45,0.45,0.45,0.45,0.45,0.45,0.0213055406663337,0.00213565986022807,0.000165720490674357,299,299,299 +"1049","OGC_AmsterdamUMC_Bayesian_biexp","small intestine",100,0.69,0.029,0.00130999999999999,0.689705419268965,0.0291477643460057,0.00130805345930064,0.45,0.45,0.45,0.45,0.45,0.45,0.0108249795977963,0.00129122060021994,8.27803984860256e-05,299,299,299 +"1050","OGC_AmsterdamUMC_Bayesian_biexp","small intestine",200,0.69,0.029,0.00130999999999999,0.689676527556003,0.0290763055182626,0.00130801798771212,0.45,0.45,0.45,0.45,0.45,0.45,0.0058332246343861,0.000767399066840807,4.218044360091e-05,299,299,299 +"1051","OGC_AmsterdamUMC_Bayesian_biexp","spinal cord",10,0.178,0.0289,0.00040999999999999,0.209573322950232,0.248085781718601,0.000365037035101673,0.45,0.45,0.45,0.45,0.45,0.45,0.093169753046608,0.529779072027622,0.000190318587737723,299,299,299 +"1052","OGC_AmsterdamUMC_Bayesian_biexp","spinal cord",30,0.178,0.0289,0.00040999999999999,0.182413809338154,0.0349092679384104,0.000400654806947243,0.45,0.45,0.45,0.45,0.45,0.45,0.0295283877357571,0.0278904412365138,6.46340670556866e-05,299,299,299 +"1053","OGC_AmsterdamUMC_Bayesian_biexp","spinal cord",50,0.178,0.0289,0.00040999999999999,0.179306234202667,0.0301204310704536,0.000406000392676229,0.45,0.45,0.45,0.45,0.45,0.45,0.0173553188046197,0.00837918248675697,3.70368125019851e-05,299,299,299 +"1054","OGC_AmsterdamUMC_Bayesian_biexp","spinal cord",100,0.178,0.0289,0.00040999999999999,0.17825257710602,0.0291306682870146,0.000408520765653547,0.45,0.45,0.45,0.45,0.45,0.45,0.00852801831235784,0.00368509977296672,1.80745795393473e-05,299,299,299 +"1055","OGC_AmsterdamUMC_Bayesian_biexp","spinal cord",200,0.178,0.0289,0.00040999999999999,0.178027427044952,0.0289473836108232,0.000409402139199747,0.45,0.45,0.45,0.45,0.45,0.45,0.0042390826942759,0.00180304143487393,8.9737226805048e-06,299,299,299 +"1056","OGC_AmsterdamUMC_Bayesian_biexp","spleen",10,0.2,0.03,0.00129999999999999,0.252564851116705,0.234350329255358,0.0011902257893967,0.45,0.45,0.45,0.45,0.45,0.45,0.143510183868978,0.502260190838715,0.000409430548781824,299,299,299 +"1057","OGC_AmsterdamUMC_Bayesian_biexp","spleen",30,0.2,0.03,0.00129999999999999,0.206920543443878,0.0391652344998817,0.00128261093805285,0.45,0.45,0.45,0.45,0.45,0.45,0.0390466411171242,0.0577799320526221,0.000116328016735445,299,299,299 +"1058","OGC_AmsterdamUMC_Bayesian_biexp","spleen",50,0.2,0.03,0.00129999999999999,0.202242144426016,0.0312880433583728,0.00129258284303691,0.45,0.45,0.45,0.45,0.45,0.45,0.0221742794012487,0.008803345969359,6.60221204859556e-05,299,299,299 +"1059","OGC_AmsterdamUMC_Bayesian_biexp","spleen",100,0.2,0.03,0.00129999999999999,0.200492660928737,0.0302485134347354,0.00129737353376849,0.45,0.45,0.45,0.45,0.45,0.45,0.0107429711611433,0.00383166669224571,3.20537956670333e-05,299,299,299 +"1060","OGC_AmsterdamUMC_Bayesian_biexp","spleen",200,0.2,0.03,0.00129999999999999,0.20009204452414,0.0300527358364484,0.00129896887398276,0.45,0.45,0.45,0.45,0.45,0.45,0.0053245641171715,0.00186707948167776,1.58940940277551e-05,299,299,299 +"1061","OGC_AmsterdamUMC_Bayesian_biexp","st wall",10,0.3,0.012,0.0015,0.341805672621887,0.168400207074635,0.00137740256343735,0.45,0.45,0.45,0.45,0.45,0.45,0.208616076214158,0.464994412276134,0.00063293998023058,299,299,299 +"1062","OGC_AmsterdamUMC_Bayesian_biexp","st wall",30,0.3,0.012,0.0015,0.322598892832079,0.0163120415446447,0.00144219464170223,0.45,0.45,0.45,0.45,0.45,0.45,0.099441348096674,0.0358945806277781,0.0002646519270056,299,299,299 +"1063","OGC_AmsterdamUMC_Bayesian_biexp","st wall",50,0.3,0.012,0.0015,0.307380088586943,0.0123840257227861,0.00147963595687784,0.45,0.45,0.45,0.45,0.45,0.45,0.0543988008958189,0.00311912078213205,0.000143579447073784,299,299,299 +"1064","OGC_AmsterdamUMC_Bayesian_biexp","st wall",100,0.3,0.012,0.0015,0.30169389706088,0.0120870942842539,0.00149429632133367,0.45,0.45,0.45,0.45,0.45,0.45,0.0263416183131239,0.00143228340608078,6.96705179751264e-05,299,299,299 +"1065","OGC_AmsterdamUMC_Bayesian_biexp","st wall",200,0.3,0.012,0.0015,0.300362174143572,0.0120230595567758,0.00149816240971459,0.45,0.45,0.45,0.45,0.45,0.45,0.0130395557862123,0.00069518251387759,3.45668298733419e-05,299,299,299 +"1066","OGC_AmsterdamUMC_Bayesian_biexp","Stomach Contents",10,0,0,0.003,0.158990836529403,0.301176810104937,0.00251350040615031,0.45,0.45,0.45,0.45,0.45,0.45,0.23293814468561,0.621518237441187,0.000726756970945795,299,299,299 +"1067","OGC_AmsterdamUMC_Bayesian_biexp","Stomach Contents",30,0,0,0.003,0.0607600506299255,0.312267211778257,0.00286512222951462,0.45,0.45,0.45,0.45,0.45,0.45,0.124700661510459,0.641635046903265,0.00028425206622854,299,299,299 +"1068","OGC_AmsterdamUMC_Bayesian_biexp","Stomach Contents",50,0,0,0.003,0.0364833518658009,0.287543179280492,0.00292429726300357,0.45,0.45,0.45,0.45,0.45,0.45,0.0853255745313371,0.603786843310946,0.000172999785292437,299,299,299 +"1069","OGC_AmsterdamUMC_Bayesian_biexp","Stomach Contents",100,0,0,0.003,0.0151739279363482,0.28301056159076,0.00296906888462251,0.45,0.45,0.45,0.45,0.45,0.45,0.0430982106124538,0.59437939327686,8.34289393815966e-05,299,299,299 +"1070","OGC_AmsterdamUMC_Bayesian_biexp","Stomach Contents",200,0,0,0.003,0.00741814103958972,0.284575389807079,0.00298542777280636,0.45,0.45,0.45,0.45,0.45,0.45,0.0226711123584669,0.593537705809959,4.03247920118499e-05,299,299,299 +"1071","OGC_AmsterdamUMC_Bayesian_biexp","trans lower intestine",10,0.69,0.029,0.00130999999999999,0.694259683027242,0.0332121262581744,0.00115651817908036,0.45,0.45,0.45,0.45,0.45,0.45,0.11017656415909,0.0193052051533991,0.000818178301615205,299,299,299 +"1072","OGC_AmsterdamUMC_Bayesian_biexp","trans lower intestine",30,0.69,0.029,0.00130999999999999,0.690033167699518,0.0293545217522552,0.00129905853784076,0.45,0.45,0.45,0.45,0.45,0.45,0.036083058729084,0.00362951389776666,0.000284878311839241,299,299,299 +"1073","OGC_AmsterdamUMC_Bayesian_biexp","trans lower intestine",50,0.69,0.029,0.00130999999999999,0.689921506074573,0.0291386465936453,0.0013031486571486,0.45,0.45,0.45,0.45,0.45,0.45,0.0213772426772885,0.00213834747992634,0.000166104827306889,299,299,299 +"1074","OGC_AmsterdamUMC_Bayesian_biexp","trans lower intestine",100,0.69,0.029,0.00130999999999999,0.689705435319841,0.0291477639759397,0.00130805336484234,0.45,0.45,0.45,0.45,0.45,0.45,0.0108250110017957,0.0012912220707904,8.27806112880171e-05,299,299,299 +"1075","OGC_AmsterdamUMC_Bayesian_biexp","trans lower intestine",200,0.69,0.029,0.00130999999999999,0.689703364774609,0.0290729200975083,0.0013079275799941,0.45,0.45,0.45,0.45,0.45,0.45,0.0057973136397047,0.000764637348817088,4.20153078500508e-05,299,299,299 +"1076","OGC_AmsterdamUMC_Bayesian_biexp","Vein",10,1,0.1,0.003,0.914295867026791,0.124952449208066,0.000341386376995397,0.45,0.45,0.45,0.45,0.45,0.45,0.033870556357192,0.0264921360903649,0.000759818054968653,299,299,299 +"1077","OGC_AmsterdamUMC_Bayesian_biexp","Vein",30,1,0.1,0.003,0.973099780568972,0.107393408056422,0.000232219949442385,0.45,0.45,0.45,0.45,0.45,0.45,0.00780476201787954,0.00748295051395532,0.000430417878162574,299,299,299 +"1078","OGC_AmsterdamUMC_Bayesian_biexp","Vein",50,1,0.1,0.003,0.984111118518383,0.104286700344162,0.000213374328770124,0.45,0.45,0.45,0.45,0.45,0.45,0.00467685321257514,0.00434424421111718,0.000410079679040286,299,299,299 +"1079","OGC_AmsterdamUMC_Bayesian_biexp","Vein",100,1,0.1,0.003,0.992309696276133,0.102047954866857,0.000179453478078494,0.45,0.45,0.45,0.45,0.45,0.45,0.00230377417751352,0.00212580311791353,0.000377336365917817,299,299,299 +"1080","OGC_AmsterdamUMC_Bayesian_biexp","Vein",200,1,0.1,0.003,0.996293961868916,0.100989052773125,0.000153682306312602,0.45,0.45,0.45,0.45,0.45,0.45,0.00114635413380225,0.0010530293970243,0.000356019850089775,299,299,299 +"1081","OGC_AmsterdamUMC_biexp","Artery",10,1,0.1,0.00299999999999999,0.916551204416989,0.122369011945018,0.000273066806868795,0.45,0.45,0.45,0.45,0.45,0.45,0.0227251910785163,0.0234330402970799,0.000525988236826141,299,299,299 +"1082","OGC_AmsterdamUMC_biexp","Artery",30,1,0.1,0.00299999999999999,0.973161260978649,0.10654669843169,0.000228130802991582,0.45,0.45,0.45,0.45,0.45,0.45,0.00782859221131808,0.00645782892908593,0.000431214165202723,299,299,299 +"1083","OGC_AmsterdamUMC_biexp","Artery",50,1,0.1,0.00299999999999999,0.984189738175199,0.103791606376352,0.000208198211823357,0.45,0.45,0.45,0.45,0.45,0.45,0.0046830337641484,0.00375278688446861,0.000406133269658223,299,299,299 +"1084","OGC_AmsterdamUMC_biexp","Artery",100,1,0.1,0.00299999999999999,0.992359928068325,0.10181117133177,0.000175728220305858,0.45,0.45,0.45,0.45,0.45,0.45,0.00229602457471637,0.0018352080684285,0.000373115272077105,299,299,299 +"1085","OGC_AmsterdamUMC_biexp","Artery",200,1,0.1,0.00299999999999999,0.996323154092639,0.100873285145009,0.000149761277399738,0.45,0.45,0.45,0.45,0.45,0.45,0.00113622008026348,0.000908483034149541,0.0003523857739893,299,299,299 +"1086","OGC_AmsterdamUMC_biexp","asc lower intestine",10,0.69,0.029,0.00131,0.694830689002679,0.0326249863295518,0.00114655138075947,0.45,0.45,0.45,0.45,0.45,0.45,0.097800779766473,0.0170421543965191,0.000744261900682833,299,299,299 +"1087","OGC_AmsterdamUMC_biexp","asc lower intestine",30,0.69,0.029,0.00131,0.689570850541905,0.029384683459656,0.00130099623059848,0.45,0.45,0.45,0.45,0.45,0.45,0.0358332141638899,0.00328309904540323,0.000279782025325331,299,299,299 +"1088","OGC_AmsterdamUMC_biexp","asc lower intestine",50,0.69,0.029,0.00131,0.689825693479473,0.029150097761051,0.00130432509058926,0.45,0.45,0.45,0.45,0.45,0.45,0.021388194077948,0.00190248296142271,0.000166083414629651,299,299,299 +"1089","OGC_AmsterdamUMC_biexp","asc lower intestine",100,0.69,0.029,0.00131,0.689946565227494,0.0290467790696474,0.00130699632866212,0.45,0.45,0.45,0.45,0.45,0.45,0.0106631625006435,0.000938640325593605,8.26562859373091e-05,299,299,299 +"1090","OGC_AmsterdamUMC_biexp","asc lower intestine",200,0.69,0.029,0.00131,0.689981335149926,0.0290165319406761,0.00130845678067228,0.45,0.45,0.45,0.45,0.45,0.45,0.00532704602288374,0.000467721781460919,4.12831241137049e-05,299,299,299 +"1091","OGC_AmsterdamUMC_biexp","Blood RA",10,1,0.1,0.00299999999999999,0.916551204416989,0.122369011945018,0.000273066806868795,0.45,0.45,0.45,0.45,0.45,0.45,0.0227251910785163,0.0234330402970799,0.000525988236826141,299,299,299 +"1092","OGC_AmsterdamUMC_biexp","Blood RA",30,1,0.1,0.00299999999999999,0.973161260978649,0.10654669843169,0.000228130802991582,0.45,0.45,0.45,0.45,0.45,0.45,0.00782859221131808,0.00645782892908593,0.000431214165202723,299,299,299 +"1093","OGC_AmsterdamUMC_biexp","Blood RA",50,1,0.1,0.00299999999999999,0.984189738175199,0.103791606376352,0.000208198211823357,0.45,0.45,0.45,0.45,0.45,0.45,0.0046830337641484,0.00375278688446861,0.000406133269658223,299,299,299 +"1094","OGC_AmsterdamUMC_biexp","Blood RA",100,1,0.1,0.00299999999999999,0.992359928068325,0.10181117133177,0.000175728220305858,0.45,0.45,0.45,0.45,0.45,0.45,0.00229602457471637,0.0018352080684285,0.000373115272077105,299,299,299 +"1095","OGC_AmsterdamUMC_biexp","Blood RA",200,1,0.1,0.00299999999999999,0.996323154092639,0.100873285145009,0.000149761277399738,0.45,0.45,0.45,0.45,0.45,0.45,0.00113622008026348,0.000908483034149541,0.0003523857739893,299,299,299 +"1096","OGC_AmsterdamUMC_biexp","Blood RV",10,1,0.1,0.003,0.916551204477061,0.122369011950598,0.000273066803012016,0.45,0.45,0.45,0.45,0.45,0.45,0.0227251914120853,0.0234330403592379,0.000525988248231766,299,299,299 +"1097","OGC_AmsterdamUMC_biexp","Blood RV",30,1,0.1,0.003,0.973161260787835,0.106546698466594,0.000228130843033075,0.45,0.45,0.45,0.45,0.45,0.45,0.0078285922138933,0.00645782890351296,0.000431214372101425,299,299,299 +"1098","OGC_AmsterdamUMC_biexp","Blood RV",50,1,0.1,0.003,0.984189738173453,0.103791606376294,0.000208198245221205,0.45,0.45,0.45,0.45,0.45,0.45,0.00468303351061325,0.00375278684341751,0.000406133457828171,299,299,299 +"1099","OGC_AmsterdamUMC_biexp","Blood RV",100,1,0.1,0.003,0.992359928406606,0.101811171259488,0.000175728107883654,0.45,0.45,0.45,0.45,0.45,0.45,0.00229602425602299,0.00183520810771947,0.000373114811370238,299,299,299 +"1100","OGC_AmsterdamUMC_biexp","Blood RV",200,1,0.1,0.003,0.996323154043503,0.100873285154226,0.000149761334226485,0.45,0.45,0.45,0.45,0.45,0.45,0.0011362202179319,0.000908483065035726,0.000352386145881468,299,299,299 +"1101","OGC_AmsterdamUMC_biexp","Bone Marrow",10,0.145,0.05,0.00042999999999999,0.169007849970969,0.0863644923276345,0.000379228137878255,0.45,0.45,0.45,0.45,0.45,0.45,0.0740241029230024,0.0725947384631105,0.000155914354741128,299,299,299 +"1102","OGC_AmsterdamUMC_biexp","Bone Marrow",30,0.145,0.05,0.00042999999999999,0.147763891674385,0.0588312741748592,0.000422536041700086,0.45,0.45,0.45,0.45,0.45,0.45,0.021495101540412,0.03413392765885,5.03339588060474e-05,299,299,299 +"1103","OGC_AmsterdamUMC_biexp","Bone Marrow",50,0.145,0.05,0.00042999999999999,0.145862667719169,0.0531600933899067,0.000426983710907728,0.45,0.45,0.45,0.45,0.45,0.45,0.012502016049057,0.0172106635204731,2.97434046066794e-05,299,299,299 +"1104","OGC_AmsterdamUMC_biexp","Bone Marrow",100,0.145,0.05,0.00042999999999999,0.14520189132123,0.0507678647060708,0.000428907458396334,0.45,0.45,0.45,0.45,0.45,0.45,0.0061293260837469,0.00701510879178447,1.46737300814847e-05,299,299,299 +"1105","OGC_AmsterdamUMC_biexp","Bone Marrow",200,0.145,0.05,0.00042999999999999,0.145048679587742,0.0502302585163333,0.000429548062403192,0.45,0.45,0.45,0.45,0.45,0.45,0.00305274747528529,0.00336785693791907,7.31852093902212e-06,299,299,299 +"1106","OGC_AmsterdamUMC_biexp","desc lower intestine",10,0.69,0.029,0.00130999999999999,0.694830688958007,0.0326249862920969,0.00114655138040971,0.45,0.45,0.45,0.45,0.45,0.45,0.0978007799848015,0.017042154022644,0.000744261901228439,299,299,299 +"1107","OGC_AmsterdamUMC_biexp","desc lower intestine",30,0.69,0.029,0.00130999999999999,0.689570850389904,0.0293846834702757,0.00130099623218678,0.45,0.45,0.45,0.45,0.45,0.45,0.0358332141249576,0.00328309905389248,0.000279782025804757,299,299,299 +"1108","OGC_AmsterdamUMC_biexp","desc lower intestine",50,0.69,0.029,0.00130999999999999,0.689825693439436,0.0291500977632988,0.00130432509093478,0.45,0.45,0.45,0.45,0.45,0.45,0.021388194180637,0.00190248296653032,0.000166083414969946,299,299,299 +"1109","OGC_AmsterdamUMC_biexp","desc lower intestine",100,0.69,0.029,0.00130999999999999,0.689946565112776,0.0290467790775777,0.00130699632975245,0.45,0.45,0.45,0.45,0.45,0.45,0.0106631624475447,0.000938640327527829,8.2656285690206e-05,299,299,299 +"1110","OGC_AmsterdamUMC_biexp","desc lower intestine",200,0.69,0.029,0.00130999999999999,0.689981335149323,0.0290165319408909,0.00130845678068183,0.45,0.45,0.45,0.45,0.45,0.45,0.00532704601883314,0.000467721781430844,4.12831239463918e-05,299,299,299 +"1111","OGC_AmsterdamUMC_biexp","esophagus",10,0.32,0.03,0.00167,0.354705444912895,0.0473833532597952,0.00153198035075441,0.45,0.45,0.45,0.45,0.45,0.45,0.13774998164227,0.047240901713027,0.000533877695072239,299,299,299 +"1112","OGC_AmsterdamUMC_biexp","esophagus",30,0.32,0.03,0.00167,0.323201589352366,0.0315809860619825,0.00165554120532516,0.45,0.45,0.45,0.45,0.45,0.45,0.0403072186733748,0.00893525479738817,0.000158206362782314,299,299,299 +"1113","OGC_AmsterdamUMC_biexp","esophagus",50,0.32,0.03,0.00167,0.321129497729692,0.0305486396310223,0.00166345901860317,0.45,0.45,0.45,0.45,0.45,0.45,0.0237323441541509,0.00468168241130167,9.37147519363507e-05,299,299,299 +"1114","OGC_AmsterdamUMC_biexp","esophagus",100,0.32,0.03,0.00167,0.32028000609588,0.0301512754973508,0.00166747654616373,0.45,0.45,0.45,0.45,0.45,0.45,0.0117336921572213,0.00221904834811973,4.65224801320168e-05,299,299,299 +"1115","OGC_AmsterdamUMC_biexp","esophagus",200,0.32,0.03,0.00167,0.320069642679472,0.0300479397285806,0.00166892194421256,0.45,0.45,0.45,0.45,0.45,0.45,0.00584712395049819,0.00109546565169311,2.32146303704648e-05,299,299,299 +"1116","OGC_AmsterdamUMC_biexp","esophagus cont",10,0.32,0.03,0.00167,0.354705444912895,0.0473833532597952,0.00153198035075441,0.45,0.45,0.45,0.45,0.45,0.45,0.13774998164227,0.047240901713027,0.000533877695072239,299,299,299 +"1117","OGC_AmsterdamUMC_biexp","esophagus cont",30,0.32,0.03,0.00167,0.323201589352366,0.0315809860619825,0.00165554120532516,0.45,0.45,0.45,0.45,0.45,0.45,0.0403072186733748,0.00893525479738817,0.000158206362782314,299,299,299 +"1118","OGC_AmsterdamUMC_biexp","esophagus cont",50,0.32,0.03,0.00167,0.321129497729692,0.0305486396310223,0.00166345901860317,0.45,0.45,0.45,0.45,0.45,0.45,0.0237323441541509,0.00468168241130167,9.37147519363507e-05,299,299,299 +"1119","OGC_AmsterdamUMC_biexp","esophagus cont",100,0.32,0.03,0.00167,0.32028000609588,0.0301512754973508,0.00166747654616373,0.45,0.45,0.45,0.45,0.45,0.45,0.0117336921572213,0.00221904834811973,4.65224801320168e-05,299,299,299 +"1120","OGC_AmsterdamUMC_biexp","esophagus cont",200,0.32,0.03,0.00167,0.320069642679472,0.0300479397285806,0.00166892194421256,0.45,0.45,0.45,0.45,0.45,0.45,0.00584712395049819,0.00109546565169311,2.32146303704648e-05,299,299,299 +"1121","OGC_AmsterdamUMC_biexp","gall bladder",10,0,0.1,0.00299999999999999,0.191401688469582,0.0321046349586137,0.00237228557058446,0.45,0.45,0.45,0.45,0.45,0.45,0.259242813546692,0.0578132350789134,0.000794703060136471,299,299,299 +"1122","OGC_AmsterdamUMC_biexp","gall bladder",30,0,0.1,0.00299999999999999,0.0777178120466296,0.023737414927259,0.00282552121003446,0.45,0.45,0.45,0.45,0.45,0.45,0.130082357144144,0.0465791152924038,0.000275716995444092,299,299,299 +"1123","OGC_AmsterdamUMC_biexp","gall bladder",50,0,0.1,0.00299999999999999,0.0511147913529732,0.0231054457241524,0.0028948449238652,0.45,0.45,0.45,0.45,0.45,0.45,0.0890100394790584,0.0456786308219674,0.000168762394682044,299,299,299 +"1124","OGC_AmsterdamUMC_biexp","gall bladder",100,0,0.1,0.00299999999999999,0.0278675915779354,0.01889988623916,0.00294688389150037,0.45,0.45,0.45,0.45,0.45,0.45,0.049852864934988,0.039467950909181,8.58118830044393e-05,299,299,299 +"1125","OGC_AmsterdamUMC_biexp","gall bladder",200,0,0.1,0.00299999999999999,0.0146478876182492,0.0178295563380532,0.00297322214642431,0.45,0.45,0.45,0.45,0.45,0.45,0.0265871137741703,0.037280624140611,4.32917990910105e-05,299,299,299 +"1126","OGC_AmsterdamUMC_biexp","Left kidney cortex",10,0.097,0.02,0.00212,0.2148105377081,0.0487963568495767,0.00180421269859133,0.45,0.45,0.45,0.45,0.45,0.45,0.209309135268436,0.0669015647143579,0.000588336343347944,299,299,299 +"1127","OGC_AmsterdamUMC_biexp","Left kidney cortex",30,0.097,0.02,0.00212,0.146123885205131,0.0373755524225729,0.00202046535882605,0.45,0.45,0.45,0.45,0.45,0.45,0.110848492366364,0.04877666816789,0.000246047390509527,299,299,299 +"1128","OGC_AmsterdamUMC_biexp","Left kidney cortex",50,0.097,0.02,0.00212,0.114091178865341,0.0306272982674573,0.00208475182665721,0.45,0.45,0.45,0.45,0.45,0.45,0.064994913794702,0.0366758241940987,0.000145885088018764,299,299,299 +"1129","OGC_AmsterdamUMC_biexp","Left kidney cortex",100,0.097,0.02,0.00212,0.100082483097346,0.0217012846057203,0.00211233362767267,0.45,0.45,0.45,0.45,0.45,0.45,0.022263981665253,0.00829489525871493,5.9911493759657e-05,299,299,299 +"1130","OGC_AmsterdamUMC_biexp","Left kidney cortex",200,0.097,0.02,0.00212,0.0977201096113241,0.0203704427744955,0.00211773849426202,0.45,0.45,0.45,0.45,0.45,0.45,0.0103898391865378,0.00309514793102558,2.89432490155649e-05,299,299,299 +"1131","OGC_AmsterdamUMC_biexp","left kidney medulla",10,0.158,0.019,0.00209,0.277052826290319,0.0434335812083184,0.00174987911491906,0.45,0.45,0.45,0.45,0.45,0.45,0.215413208541891,0.0610132755885743,0.000654646483328416,299,299,299 +"1132","OGC_AmsterdamUMC_biexp","left kidney medulla",30,0.158,0.019,0.00209,0.185983092632004,0.0302582799936771,0.00202389214446307,0.45,0.45,0.45,0.45,0.45,0.45,0.103473937799966,0.0376625252245158,0.000263126852971238,299,299,299 +"1133","OGC_AmsterdamUMC_biexp","left kidney medulla",50,0.158,0.019,0.00209,0.165498695949482,0.0224982445301877,0.00207086299443277,0.45,0.45,0.45,0.45,0.45,0.45,0.0477938940481895,0.0166104586174518,0.00013310763237306,299,299,299 +"1134","OGC_AmsterdamUMC_biexp","left kidney medulla",100,0.158,0.019,0.00209,0.159741157526869,0.0195635450173089,0.00208454849886483,0.45,0.45,0.45,0.45,0.45,0.45,0.0217945168049873,0.00378660527925079,6.31887376202441e-05,299,299,299 +"1135","OGC_AmsterdamUMC_biexp","left kidney medulla",200,0.158,0.019,0.00209,0.158391248282066,0.0191546653722228,0.00208829309020907,0.45,0.45,0.45,0.45,0.45,0.45,0.0106514311539535,0.0017870044264751,3.11905633716254e-05,299,299,299 +"1136","OGC_AmsterdamUMC_biexp","Liver",10,0.11,0.1,0.0015,0.168781483710098,0.0998946664266393,0.0013498050183832,0.45,0.45,0.45,0.45,0.45,0.45,0.122995139274488,0.0772265009198665,0.000337252957986261,299,299,299 +"1137","OGC_AmsterdamUMC_biexp","Liver",30,0.11,0.1,0.0015,0.114188731736888,0.115331619534224,0.00148632594936495,0.45,0.45,0.45,0.45,0.45,0.45,0.0216959423795506,0.0557579468019812,8.43750873327471e-05,299,299,299 +"1138","OGC_AmsterdamUMC_biexp","Liver",50,0.11,0.1,0.0015,0.111084793289577,0.110147712355781,0.00149517257250774,0.45,0.45,0.45,0.45,0.45,0.45,0.01183413282986,0.0399148213895639,4.8761702300905e-05,299,299,299 +"1139","OGC_AmsterdamUMC_biexp","Liver",100,0.11,0.1,0.0015,0.110231190403675,0.103476574388879,0.0014982923573173,0.45,0.45,0.45,0.45,0.45,0.45,0.00588808517047419,0.0205159283218359,2.43744136435469e-05,299,299,299 +"1140","OGC_AmsterdamUMC_biexp","Liver",200,0.11,0.1,0.0015,0.1100470782725,0.101125031030003,0.00149929708375471,0.45,0.45,0.45,0.45,0.45,0.45,0.00293209185601329,0.00988546801948204,1.21465617474882e-05,299,299,299 +"1141","OGC_AmsterdamUMC_biexp","muscle",10,0.1,0.0263,0.00137,0.164155619864913,0.0645279994352871,0.00122678756718391,0.45,0.45,0.45,0.45,0.45,0.45,0.140240966811934,0.0731929218066604,0.000346494147403356,299,299,299 +"1142","OGC_AmsterdamUMC_biexp","muscle",30,0.1,0.0263,0.00137,0.118064715147752,0.0434107357403063,0.00133332108088041,0.45,0.45,0.45,0.45,0.45,0.45,0.0635831022459686,0.0466206040693085,0.000133941875004795,299,299,299 +"1143","OGC_AmsterdamUMC_biexp","muscle",50,0.1,0.0263,0.00137,0.10493880839755,0.0334560763358544,0.00135843350579009,0.45,0.45,0.45,0.45,0.45,0.45,0.0272855784829202,0.0284007367077581,6.71141988758258e-05,299,299,299 +"1144","OGC_AmsterdamUMC_biexp","muscle",100,0.1,0.0263,0.00137,0.101088826816657,0.0274775604293556,0.00136676951329845,0.45,0.45,0.45,0.45,0.45,0.45,0.0122529131265291,0.00708637790777758,3.16379592901868e-05,299,299,299 +"1145","OGC_AmsterdamUMC_biexp","muscle",200,0.1,0.0263,0.00137,0.100262096377089,0.0265895391397166,0.00136891511498565,0.45,0.45,0.45,0.45,0.45,0.45,0.00593815791486615,0.00310673042345577,1.55348139543418e-05,299,299,299 +"1146","OGC_AmsterdamUMC_biexp","Myocardium LV",10,0.15,0.08,0.00239999999999999,0.231050923641768,0.0918109119905574,0.00210156490117751,0.45,0.45,0.45,0.45,0.45,0.45,0.163284584130701,0.0740143441565326,0.000597823995634861,299,299,299 +"1147","OGC_AmsterdamUMC_biexp","Myocardium LV",30,0.15,0.08,0.00239999999999999,0.154139536199064,0.0938792382841866,0.00238288875731006,0.45,0.45,0.45,0.45,0.45,0.45,0.0290480606080287,0.0455341863291874,0.000152632775909978,299,299,299 +"1148","OGC_AmsterdamUMC_biexp","Myocardium LV",50,0.15,0.08,0.00239999999999999,0.151153558919142,0.0860986664284178,0.00239348258775607,0.45,0.45,0.45,0.45,0.45,0.45,0.0156713927680016,0.02721041102647,8.81045063940593e-05,299,299,299 +"1149","OGC_AmsterdamUMC_biexp","Myocardium LV",100,0.15,0.08,0.00239999999999999,0.150283499702338,0.0817402508138729,0.00239745921045849,0.45,0.45,0.45,0.45,0.45,0.45,0.0077061027415547,0.012594008034591,4.36999485215147e-05,299,299,299 +"1150","OGC_AmsterdamUMC_biexp","Myocardium LV",200,0.15,0.08,0.00239999999999999,0.150069318966238,0.0805473448915456,0.00239890817216193,0.45,0.45,0.45,0.45,0.45,0.45,0.00382375516599412,0.00608744526892346,2.17541336302219e-05,299,299,299 +"1151","OGC_AmsterdamUMC_biexp","myocardium ra",10,0.07,0.07,0.00149999999999999,0.140842624198002,0.0813844898479559,0.00133683767841884,0.45,0.45,0.45,0.45,0.45,0.45,0.133651649508108,0.078632943174571,0.000337383017546295,299,299,299 +"1152","OGC_AmsterdamUMC_biexp","myocardium ra",30,0.07,0.07,0.00149999999999999,0.0829283857381543,0.0925386887540425,0.00146970574440834,0.45,0.45,0.45,0.45,0.45,0.45,0.0408941446324761,0.0669997261846904,0.000102346576209544,299,299,299 +"1153","OGC_AmsterdamUMC_biexp","myocardium ra",50,0.07,0.07,0.00149999999999999,0.0729232456609849,0.0865434876720122,0.00149141826892013,0.45,0.45,0.45,0.45,0.45,0.45,0.0155435836801289,0.0508609492324104,5.15890936631301e-05,299,299,299 +"1154","OGC_AmsterdamUMC_biexp","myocardium ra",100,0.07,0.07,0.00149999999999999,0.0705244378844142,0.0753318599221697,0.00149772019596425,0.45,0.45,0.45,0.45,0.45,0.45,0.00682514908599845,0.0251392416023998,2.45968006170904e-05,299,299,299 +"1155","OGC_AmsterdamUMC_biexp","myocardium ra",200,0.07,0.07,0.00149999999999999,0.0701212467504255,0.0714929240303145,0.00149916064829227,0.45,0.45,0.45,0.45,0.45,0.45,0.00338190541148554,0.0111832327125974,1.22606190059661e-05,299,299,299 +"1156","OGC_AmsterdamUMC_biexp","myocardium RV",10,0.15,0.08,0.0024,0.231050934614615,0.0918109124612231,0.00210156488326174,0.45,0.45,0.45,0.45,0.45,0.45,0.16328457467878,0.0740143427520423,0.000597823975653223,299,299,299 +"1157","OGC_AmsterdamUMC_biexp","myocardium RV",30,0.15,0.08,0.0024,0.154139538104581,0.0938792386194375,0.00238288874920667,0.45,0.45,0.45,0.45,0.45,0.45,0.0290480598568536,0.0455341861546974,0.000152632768816471,299,299,299 +"1158","OGC_AmsterdamUMC_biexp","myocardium RV",50,0.15,0.08,0.0024,0.15115355891339,0.0860986665681959,0.00239348258776536,0.45,0.45,0.45,0.45,0.45,0.45,0.0156713928831147,0.0272104113084599,8.8104507105354e-05,299,299,299 +"1159","OGC_AmsterdamUMC_biexp","myocardium RV",100,0.15,0.08,0.0024,0.150283499713373,0.0817402508977409,0.00239745921048469,0.45,0.45,0.45,0.45,0.45,0.45,0.0077061027385642,0.0125940079355904,4.36999482749641e-05,299,299,299 +"1160","OGC_AmsterdamUMC_biexp","myocardium RV",200,0.15,0.08,0.0024,0.150069318927198,0.0805473449808135,0.00239890817229748,0.45,0.45,0.45,0.45,0.45,0.45,0.00382375516428169,0.00608744535227897,2.17541336207165e-05,299,299,299 +"1161","OGC_AmsterdamUMC_biexp","pancreas",10,0.15,0.00999999999999999,0.00129999999999999,0.184806383551946,0.0464640902382485,0.00120996388399997,0.45,0.45,0.45,0.45,0.45,0.45,0.161156378373272,0.0663066723587278,0.000392966629448273,299,299,299 +"1162","OGC_AmsterdamUMC_biexp","pancreas",30,0.15,0.00999999999999999,0.00129999999999999,0.175898744791279,0.0213648972173581,0.00125611751695182,0.45,0.45,0.45,0.45,0.45,0.45,0.0959617584586429,0.0372699007969939,0.000184638198470107,299,299,299 +"1163","OGC_AmsterdamUMC_biexp","pancreas",50,0.15,0.00999999999999999,0.00129999999999999,0.166798113585294,0.0139339856151087,0.00127239426847746,0.45,0.45,0.45,0.45,0.45,0.45,0.0681687188074589,0.0204281192042772,0.000125570304648259,299,299,299 +"1164","OGC_AmsterdamUMC_biexp","pancreas",100,0.15,0.00999999999999999,0.00129999999999999,0.155050447526638,0.0103148716343016,0.00129097893349682,0.45,0.45,0.45,0.45,0.45,0.45,0.0319693569114256,0.00247522254142006,5.97694042409908e-05,299,299,299 +"1165","OGC_AmsterdamUMC_biexp","pancreas",200,0.15,0.00999999999999999,0.00129999999999999,0.15115551199152,0.0100771652598739,0.00129758916653971,0.45,0.45,0.45,0.45,0.45,0.45,0.0148659182822757,0.00114131857256165,2.8462989591438e-05,299,299,299 +"1166","OGC_AmsterdamUMC_biexp","pericardium",10,0.07,0.01,0.003,0.263022459456793,0.033924613229576,0.00230095301727548,0.45,0.45,0.45,0.45,0.45,0.45,0.288291020925325,0.0584441964083521,0.000958089465894317,299,299,299 +"1167","OGC_AmsterdamUMC_biexp","pericardium",30,0.07,0.01,0.003,0.171752805027006,0.0253488324678653,0.00279901086402068,0.45,0.45,0.45,0.45,0.45,0.45,0.188837504872995,0.0468564902922869,0.000422023617183879,299,299,299 +"1168","OGC_AmsterdamUMC_biexp","pericardium",50,0.07,0.01,0.003,0.154584288063767,0.0269699200483735,0.00286376856685968,0.45,0.45,0.45,0.45,0.45,0.45,0.156424306981675,0.0489641623690828,0.00030424346715091,299,299,299 +"1169","OGC_AmsterdamUMC_biexp","pericardium",100,0.07,0.01,0.003,0.130337880464319,0.0221023090271125,0.00291709004375652,0.45,0.45,0.45,0.45,0.45,0.45,0.119422592046437,0.0390373542858498,0.000200857416256394,299,299,299 +"1170","OGC_AmsterdamUMC_biexp","pericardium",200,0.07,0.01,0.003,0.09811250426271,0.0136336809056923,0.00296220819449489,0.45,0.45,0.45,0.45,0.45,0.45,0.074974972545677,0.0203675521297731,0.000119612745947482,299,299,299 +"1171","OGC_AmsterdamUMC_biexp","right kidney medulla",10,0.158,0.019,0.00209,0.277052826290319,0.0434335812083184,0.00174987911491906,0.45,0.45,0.45,0.45,0.45,0.45,0.215413208541891,0.0610132755885743,0.000654646483328416,299,299,299 +"1172","OGC_AmsterdamUMC_biexp","right kidney medulla",30,0.158,0.019,0.00209,0.185983092632004,0.0302582799936771,0.00202389214446307,0.45,0.45,0.45,0.45,0.45,0.45,0.103473937799966,0.0376625252245158,0.000263126852971238,299,299,299 +"1173","OGC_AmsterdamUMC_biexp","right kidney medulla",50,0.158,0.019,0.00209,0.165498695949482,0.0224982445301877,0.00207086299443277,0.45,0.45,0.45,0.45,0.45,0.45,0.0477938940481895,0.0166104586174518,0.00013310763237306,299,299,299 +"1174","OGC_AmsterdamUMC_biexp","right kidney medulla",100,0.158,0.019,0.00209,0.159741157526869,0.0195635450173089,0.00208454849886483,0.45,0.45,0.45,0.45,0.45,0.45,0.0217945168049873,0.00378660527925079,6.31887376202441e-05,299,299,299 +"1175","OGC_AmsterdamUMC_biexp","right kidney medulla",200,0.158,0.019,0.00209,0.158391248282066,0.0191546653722228,0.00208829309020907,0.45,0.45,0.45,0.45,0.45,0.45,0.0106514311539535,0.0017870044264751,3.11905633716254e-05,299,299,299 +"1176","OGC_AmsterdamUMC_biexp","Right kydney cortex",10,0.097,0.02,0.00212,0.2148105377081,0.0487963568495767,0.00180421269859133,0.45,0.45,0.45,0.45,0.45,0.45,0.209309135268436,0.0669015647143579,0.000588336343347944,299,299,299 +"1177","OGC_AmsterdamUMC_biexp","Right kydney cortex",30,0.097,0.02,0.00212,0.146123885205131,0.0373755524225729,0.00202046535882605,0.45,0.45,0.45,0.45,0.45,0.45,0.110848492366364,0.04877666816789,0.000246047390509527,299,299,299 +"1178","OGC_AmsterdamUMC_biexp","Right kydney cortex",50,0.097,0.02,0.00212,0.114091178865341,0.0306272982674573,0.00208475182665721,0.45,0.45,0.45,0.45,0.45,0.45,0.064994913794702,0.0366758241940987,0.000145885088018764,299,299,299 +"1179","OGC_AmsterdamUMC_biexp","Right kydney cortex",100,0.097,0.02,0.00212,0.100082483097346,0.0217012846057203,0.00211233362767267,0.45,0.45,0.45,0.45,0.45,0.45,0.022263981665253,0.00829489525871493,5.9911493759657e-05,299,299,299 +"1180","OGC_AmsterdamUMC_biexp","Right kydney cortex",200,0.097,0.02,0.00212,0.0977201096113241,0.0203704427744955,0.00211773849426202,0.45,0.45,0.45,0.45,0.45,0.45,0.0103898391865378,0.00309514793102558,2.89432490155649e-05,299,299,299 +"1181","OGC_AmsterdamUMC_biexp","small intestine",10,0.69,0.029,0.00130999999999999,0.694830688671543,0.0326249862911932,0.00114655138403519,0.45,0.45,0.45,0.45,0.45,0.45,0.0978007792634035,0.0170421540694621,0.000744261898966357,299,299,299 +"1182","OGC_AmsterdamUMC_biexp","small intestine",30,0.69,0.029,0.00130999999999999,0.689570850303909,0.0293846834760055,0.00130099623281094,0.45,0.45,0.45,0.45,0.45,0.45,0.0358332142205404,0.00328309905527805,0.000279782026314678,299,299,299 +"1183","OGC_AmsterdamUMC_biexp","small intestine",50,0.69,0.029,0.00130999999999999,0.689825693524637,0.0291500977582433,0.00130432509010383,0.45,0.45,0.45,0.45,0.45,0.45,0.0213881941457745,0.00190248296675303,0.000166083414762732,299,299,299 +"1184","OGC_AmsterdamUMC_biexp","small intestine",100,0.69,0.029,0.00130999999999999,0.689946565074471,0.0290467790800172,0.00130699633015578,0.45,0.45,0.45,0.45,0.45,0.45,0.01066316247711,0.000938640325322343,8.26562858942624e-05,299,299,299 +"1185","OGC_AmsterdamUMC_biexp","small intestine",200,0.69,0.029,0.00130999999999999,0.689981335151041,0.029016531940645,0.00130845678065593,0.45,0.45,0.45,0.45,0.45,0.45,0.0053270459907199,0.000467721780741912,4.12831237403237e-05,299,299,299 +"1186","OGC_AmsterdamUMC_biexp","spinal cord",10,0.178,0.0289,0.00040999999999999,0.202293917098543,0.0650309357777633,0.000358209927916465,0.45,0.45,0.45,0.45,0.45,0.45,0.0869542469660166,0.0683992641814103,0.000180706502431933,299,299,299 +"1187","OGC_AmsterdamUMC_biexp","spinal cord",30,0.178,0.0289,0.00040999999999999,0.180964838445378,0.0333453876568063,0.000401957964235061,0.45,0.45,0.45,0.45,0.45,0.45,0.0283144896659017,0.0194020741103578,6.22922779777542e-05,299,299,299 +"1188","OGC_AmsterdamUMC_biexp","spinal cord",50,0.178,0.0289,0.00040999999999999,0.179025566829689,0.0301002839717868,0.000406579520139693,0.45,0.45,0.45,0.45,0.45,0.45,0.0163802711001029,0.00731960769634643,3.62862522057206e-05,299,299,299 +"1189","OGC_AmsterdamUMC_biexp","spinal cord",100,0.178,0.0289,0.00040999999999999,0.17825166241052,0.029197350945406,0.000408776147462302,0.45,0.45,0.45,0.45,0.45,0.45,0.00802680251309311,0.00327299317064302,1.78593298654247e-05,299,299,299 +"1190","OGC_AmsterdamUMC_biexp","spinal cord",200,0.178,0.0289,0.00040999999999999,0.178058787398606,0.0289887293550517,0.000409513197863968,0.45,0.45,0.45,0.45,0.45,0.45,0.00398810976791441,0.0016034249907477,8.88557773000389e-06,299,299,299 +"1191","OGC_AmsterdamUMC_biexp","spleen",10,0.2,0.03,0.00129999999999999,0.248565350244115,0.0568790655050774,0.00117109080541629,0.45,0.45,0.45,0.45,0.45,0.45,0.138108146262542,0.0614284030402646,0.000385048673471697,299,299,299 +"1192","OGC_AmsterdamUMC_biexp","spleen",30,0.2,0.03,0.00129999999999999,0.204799212432997,0.0344032232275662,0.00128537474195725,0.45,0.45,0.45,0.45,0.45,0.45,0.037388950700318,0.0196932996095428,0.000109827154468048,299,299,299 +"1193","OGC_AmsterdamUMC_biexp","spleen",50,0.2,0.03,0.00129999999999999,0.20167846783338,0.0312420978458474,0.0012938389478282,0.45,0.45,0.45,0.45,0.45,0.45,0.0214546729040031,0.00775237639503713,6.40824461909929e-05,299,299,299 +"1194","OGC_AmsterdamUMC_biexp","spleen",100,0.2,0.03,0.00129999999999999,0.200407473602709,0.0303107930813667,0.00129785077917093,0.45,0.45,0.45,0.45,0.45,0.45,0.0104719586668868,0.00342852467748544,3.15725297744171e-05,299,299,299 +"1195","OGC_AmsterdamUMC_biexp","spleen",200,0.2,0.03,0.00129999999999999,0.200098827681519,0.0300920083982728,0.00129915169069763,0.45,0.45,0.45,0.45,0.45,0.45,0.00519380978505831,0.00166907681208281,1.57069706717952e-05,299,299,299 +"1196","OGC_AmsterdamUMC_biexp","st wall",10,0.3,0.012,0.0015,0.361496157463699,0.031682873578149,0.00130168028513037,0.45,0.45,0.45,0.45,0.45,0.45,0.208512626586085,0.050532494284466,0.000612968792800239,299,299,299 +"1197","OGC_AmsterdamUMC_biexp","st wall",30,0.3,0.012,0.0015,0.31671965921315,0.01370225494998,0.00145359061162603,0.45,0.45,0.45,0.45,0.45,0.45,0.0970529459413618,0.00856485259884685,0.000254686992203309,299,299,299 +"1198","OGC_AmsterdamUMC_biexp","st wall",50,0.3,0.012,0.0015,0.30519353312752,0.0124323700509012,0.00148436640302818,0.45,0.45,0.45,0.45,0.45,0.45,0.0536137594304573,0.00282298876756286,0.000140362193289559,299,299,299 +"1199","OGC_AmsterdamUMC_biexp","st wall",100,0.3,0.012,0.0015,0.301119332140239,0.0121135942250785,0.0014957161921097,0.45,0.45,0.45,0.45,0.45,0.45,0.0261843317105574,0.00129074567615274,6.85575355619181e-05,299,299,299 +"1200","OGC_AmsterdamUMC_biexp","st wall",200,0.3,0.012,0.0015,0.300225823830534,0.0120334535896172,0.0014986415600949,0.45,0.45,0.45,0.45,0.45,0.45,0.0130262857662228,0.000630340356252454,3.40956242106061e-05,299,299,299 +"1201","OGC_AmsterdamUMC_biexp","Stomach Contents",10,0,0,0.003,0.191723295884132,0.0350761568090139,0.00237087199620843,0.45,0.45,0.45,0.45,0.45,0.45,0.259023180868301,0.0609263673209328,0.000793796934911222,299,299,299 +"1202","OGC_AmsterdamUMC_biexp","Stomach Contents",30,0,0,0.003,0.0777404904776194,0.0264222070509472,0.00282540749107257,0.45,0.45,0.45,0.45,0.45,0.45,0.130070773300389,0.0509114268035183,0.000275667969333228,299,299,299 +"1203","OGC_AmsterdamUMC_biexp","Stomach Contents",50,0,0,0.003,0.0511147805112116,0.0236302711025005,0.00289484490786416,0.45,0.45,0.45,0.45,0.45,0.45,0.0890100327839893,0.047365080231532,0.000168762360830383,299,299,299 +"1204","OGC_AmsterdamUMC_biexp","Stomach Contents",100,0,0,0.003,0.0278677173742185,0.0188998350960349,0.00294688377200161,0.45,0.45,0.45,0.45,0.45,0.45,0.0498531699339475,0.039467767247674,8.58122171971692e-05,299,299,299 +"1205","OGC_AmsterdamUMC_biexp","Stomach Contents",200,0,0,0.003,0.0146478998182979,0.0178294247239928,0.00297322211815548,0.45,0.45,0.45,0.45,0.45,0.45,0.0265870805284085,0.037280383402546,4.3291825171988e-05,299,299,299 +"1206","OGC_AmsterdamUMC_biexp","trans lower intestine",10,0.69,0.029,0.00130999999999999,0.694830688564467,0.032624986312475,0.00114655138620799,0.45,0.45,0.45,0.45,0.45,0.45,0.0978007790483066,0.017042154071943,0.000744261894497508,299,299,299 +"1207","OGC_AmsterdamUMC_biexp","trans lower intestine",30,0.69,0.029,0.00130999999999999,0.689570850550309,0.0293846834605323,0.00130099623067048,0.45,0.45,0.45,0.45,0.45,0.45,0.03583321437894,0.00328309906489773,0.000279782027780018,299,299,299 +"1208","OGC_AmsterdamUMC_biexp","trans lower intestine",50,0.69,0.029,0.00130999999999999,0.689825693412246,0.0291500977660697,0.00130432509126435,0.45,0.45,0.45,0.45,0.45,0.45,0.0213881942331915,0.00190248296909735,0.000166083415658577,299,299,299 +"1209","OGC_AmsterdamUMC_biexp","trans lower intestine",100,0.69,0.029,0.00130999999999999,0.689946565157839,0.0290467790741476,0.00130699632927992,0.45,0.45,0.45,0.45,0.45,0.45,0.0106631624923704,0.000938640325039952,8.2656285973903e-05,299,299,299 +"1210","OGC_AmsterdamUMC_biexp","trans lower intestine",200,0.69,0.029,0.00130999999999999,0.689981335112322,0.0290165319430504,0.00130845678104043,0.45,0.45,0.45,0.45,0.45,0.45,0.00532704598651555,0.000467721780481497,4.1283123603074e-05,299,299,299 +"1211","OGC_AmsterdamUMC_biexp","Vein",10,1,0.1,0.003,0.916551204244533,0.122369011974545,0.000273066816835779,0.45,0.45,0.45,0.45,0.45,0.45,0.022725191121915,0.0234330403198178,0.000525988259691735,299,299,299 +"1212","OGC_AmsterdamUMC_biexp","Vein",30,1,0.1,0.003,0.973161261240563,0.106546698361441,0.000228130761062279,0.45,0.45,0.45,0.45,0.45,0.45,0.00782859243617106,0.0064578289415521,0.000431214198209649,299,299,299 +"1213","OGC_AmsterdamUMC_biexp","Vein",50,1,0.1,0.003,0.984189738028885,0.103791606406811,0.000208198255818229,0.45,0.45,0.45,0.45,0.45,0.45,0.00468303362319796,0.00375278684718259,0.000406133264965843,299,299,299 +"1214","OGC_AmsterdamUMC_biexp","Vein",100,1,0.1,0.003,0.992359928276546,0.101811171283772,0.000175728187662851,0.45,0.45,0.45,0.45,0.45,0.45,0.00229602432637319,0.00183520806791812,0.000373115337318807,299,299,299 +"1215","OGC_AmsterdamUMC_biexp","Vein",200,1,0.1,0.003,0.996323153986104,0.100873285167583,0.000149761440764175,0.45,0.45,0.45,0.45,0.45,0.45,0.00113622001644103,0.00090848307766313,0.000352385760028282,299,299,299 +"1216","OGC_AmsterdamUMC_biexp_segmented","Artery",10,1,0.1,0.00299999999999999,0.89187652895809,0.130371770516281,0.000532739646128184,0.45,0.45,0.45,0.45,0.45,0.45,0.0603329212170224,0.0338595994748754,0.000876166916139467,299,299,299 +"1217","OGC_AmsterdamUMC_biexp_segmented","Artery",30,1,0.1,0.00299999999999999,0.963958649017849,0.108709609163987,0.000532747467797313,0.45,0.45,0.45,0.45,0.45,0.45,0.0201116860529649,0.00814087200682786,0.000876181456030473,299,299,299 +"1218","OGC_AmsterdamUMC_biexp_segmented","Artery",50,1,0.1,0.00299999999999999,0.97816921696173,0.105139058114017,0.000549427490684811,0.45,0.45,0.45,0.45,0.45,0.45,0.0125526161570658,0.00468981671653349,0.000912813853531625,299,299,299 +"1219","OGC_AmsterdamUMC_biexp_segmented","Artery",100,1,0.1,0.00299999999999999,0.989084383490558,0.102522060781948,0.000549477159445701,0.45,0.45,0.45,0.45,0.45,0.45,0.00627640558821837,0.00226259175006359,0.000912855515978945,299,299,299 +"1220","OGC_AmsterdamUMC_biexp_segmented","Artery",200,1,0.1,0.00299999999999999,0.994541921036986,0.101255042864892,0.000549569685652002,0.45,0.45,0.45,0.45,0.45,0.45,0.00313858362490246,0.00111235352017906,0.000913010145476883,299,299,299 +"1221","OGC_AmsterdamUMC_biexp_segmented","asc lower intestine",10,0.69,0.029,0.00131,0.661034109551995,0.0519537390181044,0.00131067694624179,0.45,0.45,0.45,0.45,0.45,0.45,0.143273359410903,0.00746591757005574,0.000965452623261198,299,299,299 +"1222","OGC_AmsterdamUMC_biexp_segmented","asc lower intestine",30,0.69,0.029,0.00131,0.677766188296272,0.0500107152091806,0.00136286457292459,0.45,0.45,0.45,0.45,0.45,0.45,0.0442643529688101,0.000185589786276626,0.000322790073010869,299,299,299 +"1223","OGC_AmsterdamUMC_biexp_segmented","asc lower intestine",50,0.69,0.029,0.00131,0.680228686572044,0.0500000000118474,0.00135564782187268,0.45,0.45,0.45,0.45,0.45,0.45,0.0260317923438205,1.40320085058926e-10,0.000190041408090366,299,299,299 +"1224","OGC_AmsterdamUMC_biexp_segmented","asc lower intestine",100,0.69,0.029,0.00131,0.681374427365553,0.0500000000003099,0.00135334951496678,0.45,0.45,0.45,0.45,0.45,0.45,0.0128991835119707,1.00907554152635e-12,9.41499541476281e-05,299,299,299 +"1225","OGC_AmsterdamUMC_biexp_segmented","asc lower intestine",200,0.69,0.029,0.00131,0.681731199287339,0.0500000000001251,0.0013531962139409,0.45,0.45,0.45,0.45,0.45,0.45,0.00643133843394598,1.04042199865913e-13,4.69285815264881e-05,299,299,299 +"1226","OGC_AmsterdamUMC_biexp_segmented","Blood RA",10,1,0.1,0.00299999999999999,0.89187652895809,0.130371770516281,0.000532739646128184,0.45,0.45,0.45,0.45,0.45,0.45,0.0603329212170224,0.0338595994748754,0.000876166916139467,299,299,299 +"1227","OGC_AmsterdamUMC_biexp_segmented","Blood RA",30,1,0.1,0.00299999999999999,0.963958649017849,0.108709609163987,0.000532747467797313,0.45,0.45,0.45,0.45,0.45,0.45,0.0201116860529649,0.00814087200682786,0.000876181456030473,299,299,299 +"1228","OGC_AmsterdamUMC_biexp_segmented","Blood RA",50,1,0.1,0.00299999999999999,0.97816921696173,0.105139058114017,0.000549427490684811,0.45,0.45,0.45,0.45,0.45,0.45,0.0125526161570658,0.00468981671653349,0.000912813853531625,299,299,299 +"1229","OGC_AmsterdamUMC_biexp_segmented","Blood RA",100,1,0.1,0.00299999999999999,0.989084383490558,0.102522060781948,0.000549477159445701,0.45,0.45,0.45,0.45,0.45,0.45,0.00627640558821837,0.00226259175006359,0.000912855515978945,299,299,299 +"1230","OGC_AmsterdamUMC_biexp_segmented","Blood RA",200,1,0.1,0.00299999999999999,0.994541921036986,0.101255042864892,0.000549569685652002,0.45,0.45,0.45,0.45,0.45,0.45,0.00313858362490246,0.00111235352017906,0.000913010145476883,299,299,299 +"1231","OGC_AmsterdamUMC_biexp_segmented","Blood RV",10,1,0.1,0.003,0.89187652895809,0.130371770521945,0.000532739646128184,0.45,0.45,0.45,0.45,0.45,0.45,0.0603329212170224,0.0338595995146847,0.000876166916139467,299,299,299 +"1232","OGC_AmsterdamUMC_biexp_segmented","Blood RV",30,1,0.1,0.003,0.963958649017849,0.108709609162974,0.000532747467797313,0.45,0.45,0.45,0.45,0.45,0.45,0.0201116860529649,0.00814087200609997,0.000876181456030473,299,299,299 +"1233","OGC_AmsterdamUMC_biexp_segmented","Blood RV",50,1,0.1,0.003,0.97816921696173,0.105139058114271,0.000549427490684811,0.45,0.45,0.45,0.45,0.45,0.45,0.0125526161570658,0.0046898167166192,0.000912813853531625,299,299,299 +"1234","OGC_AmsterdamUMC_biexp_segmented","Blood RV",100,1,0.1,0.003,0.989084383490558,0.102522060782086,0.000549477159445701,0.45,0.45,0.45,0.45,0.45,0.45,0.00627640558821837,0.00226259175040105,0.000912855515978945,299,299,299 +"1235","OGC_AmsterdamUMC_biexp_segmented","Blood RV",200,1,0.1,0.003,0.994541921036986,0.10125504286489,0.000549569685652002,0.45,0.45,0.45,0.45,0.45,0.45,0.00313858362490246,0.00111235352008543,0.000913010145476883,299,299,299 +"1236","OGC_AmsterdamUMC_biexp_segmented","Bone Marrow",10,0.145,0.05,0.00042999999999999,0.139047581575024,0.317942505228325,0.00042951295718329,0.45,0.45,0.45,0.45,0.45,0.45,0.0910718422461026,0.574992287671874,0.000192667693998504,299,299,299 +"1237","OGC_AmsterdamUMC_biexp_segmented","Bone Marrow",30,0.145,0.05,0.00042999999999999,0.143919631490666,0.073393787577667,0.000429030364852227,0.45,0.45,0.45,0.45,0.45,0.45,0.0302201619626601,0.0592927120277417,6.38778910237556e-05,299,299,299 +"1238","OGC_AmsterdamUMC_biexp_segmented","Bone Marrow",50,0.145,0.05,0.00042999999999999,0.144435868055056,0.0595786935955665,0.000429369668308136,0.45,0.45,0.45,0.45,0.45,0.45,0.0181159363050364,0.0178264583203856,3.82687904700335e-05,299,299,299 +"1239","OGC_AmsterdamUMC_biexp_segmented","Bone Marrow",100,0.145,0.05,0.00042999999999999,0.14473348107746,0.0538642550792214,0.0004296936844008,0.45,0.45,0.45,0.45,0.45,0.45,0.00905351315241021,0.00583794019559457,1.91162406291571e-05,299,299,299 +"1240","OGC_AmsterdamUMC_biexp_segmented","Bone Marrow",200,0.145,0.05,0.00042999999999999,0.144853641570603,0.0517984853651274,0.00042987790332487,0.45,0.45,0.45,0.45,0.45,0.45,0.00452589520220183,0.0026013994541366,9.55415124259375e-06,299,299,299 +"1241","OGC_AmsterdamUMC_biexp_segmented","desc lower intestine",10,0.69,0.029,0.00130999999999999,0.661034109485503,0.0519537390272617,0.0013106769467231,0.45,0.45,0.45,0.45,0.45,0.45,0.143273359309921,0.00746591764339493,0.000965452621671542,299,299,299 +"1242","OGC_AmsterdamUMC_biexp_segmented","desc lower intestine",30,0.69,0.029,0.00130999999999999,0.677766188238077,0.0500107152099606,0.00136286457354485,0.45,0.45,0.45,0.45,0.45,0.45,0.044264352845602,0.000185589799785506,0.000322790072361512,299,299,299 +"1243","OGC_AmsterdamUMC_biexp_segmented","desc lower intestine",50,0.69,0.029,0.00130999999999999,0.680228686589567,0.0500000000118474,0.00135564782171613,0.45,0.45,0.45,0.45,0.45,0.45,0.0260317923477666,1.40320087531871e-10,0.000190041408024866,299,299,299 +"1244","OGC_AmsterdamUMC_biexp_segmented","desc lower intestine",100,0.69,0.029,0.00130999999999999,0.681374427353849,0.0500000000003099,0.00135334951507529,0.45,0.45,0.45,0.45,0.45,0.45,0.0128991834757312,1.00907554152635e-12,9.41499539546558e-05,299,299,299 +"1245","OGC_AmsterdamUMC_biexp_segmented","desc lower intestine",200,0.69,0.029,0.00130999999999999,0.681731199284398,0.0500000000001251,0.00135319621396907,0.45,0.45,0.45,0.45,0.45,0.45,0.00643133842729258,1.04042199865913e-13,4.69285814706567e-05,299,299,299 +"1246","OGC_AmsterdamUMC_biexp_segmented","esophagus",10,0.32,0.03,0.00167,0.299578687015184,0.132769823791676,0.00168980800750411,0.45,0.45,0.45,0.45,0.45,0.45,0.149762289182758,0.329849864653106,0.000548090902426522,299,299,299 +"1247","OGC_AmsterdamUMC_biexp_segmented","esophagus",30,0.32,0.03,0.00167,0.313170236363875,0.0516203124071971,0.00168195485585145,0.45,0.45,0.45,0.45,0.45,0.45,0.0486290067148052,0.0150102012850754,0.000178975234517169,299,299,299 +"1248","OGC_AmsterdamUMC_biexp_segmented","esophagus",50,0.32,0.03,0.00167,0.314888478595328,0.0500821437320995,0.00167998254076467,0.45,0.45,0.45,0.45,0.45,0.45,0.0289824501801827,0.000997701519325934,0.000106701730279853,299,299,299 +"1249","OGC_AmsterdamUMC_biexp_segmented","esophagus",100,0.32,0.03,0.00167,0.315755920816812,0.0500000015315932,0.00167952947890255,0.45,0.45,0.45,0.45,0.45,0.45,0.0144405690149676,4.49183114774847e-09,5.31665315164845e-05,299,299,299 +"1250","OGC_AmsterdamUMC_biexp_segmented","esophagus",200,0.32,0.03,0.00167,0.316057259065301,0.0500000001130876,0.00167962601736617,0.45,0.45,0.45,0.45,0.45,0.45,0.0072110135574573,1.36073538382549e-09,2.6548153586794e-05,299,299,299 +"1251","OGC_AmsterdamUMC_biexp_segmented","esophagus cont",10,0.32,0.03,0.00167,0.299578687015184,0.132769823791676,0.00168980800750411,0.45,0.45,0.45,0.45,0.45,0.45,0.149762289182758,0.329849864653106,0.000548090902426522,299,299,299 +"1252","OGC_AmsterdamUMC_biexp_segmented","esophagus cont",30,0.32,0.03,0.00167,0.313170236363875,0.0516203124071971,0.00168195485585145,0.45,0.45,0.45,0.45,0.45,0.45,0.0486290067148052,0.0150102012850754,0.000178975234517169,299,299,299 +"1253","OGC_AmsterdamUMC_biexp_segmented","esophagus cont",50,0.32,0.03,0.00167,0.314888478595328,0.0500821437320995,0.00167998254076467,0.45,0.45,0.45,0.45,0.45,0.45,0.0289824501801827,0.000997701519325934,0.000106701730279853,299,299,299 +"1254","OGC_AmsterdamUMC_biexp_segmented","esophagus cont",100,0.32,0.03,0.00167,0.315755920816812,0.0500000015315932,0.00167952947890255,0.45,0.45,0.45,0.45,0.45,0.45,0.0144405690149676,4.49183114774847e-09,5.31665315164845e-05,299,299,299 +"1255","OGC_AmsterdamUMC_biexp_segmented","esophagus cont",200,0.32,0.03,0.00167,0.316057259065301,0.0500000001130876,0.00167962601736617,0.45,0.45,0.45,0.45,0.45,0.45,0.0072110135574573,1.36073538382549e-09,2.6548153586794e-05,299,299,299 +"1256","OGC_AmsterdamUMC_biexp_segmented","gall bladder",10,0,0.1,0.00299999999999999,0.0127761379290385,0.185975094510533,0.00286571564641389,0.45,0.45,0.45,0.45,0.45,0.45,0.199990185744284,0.441920103688841,0.000681575429557566,299,299,299 +"1257","OGC_AmsterdamUMC_biexp_segmented","gall bladder",30,0,0.1,0.00299999999999999,-0.00484607532197064,0.22172121996858,0.0030020695857505,0.45,0.45,0.45,0.45,0.45,0.45,0.0778926880772149,0.517203799633653,0.000257584083896779,299,299,299 +"1258","OGC_AmsterdamUMC_biexp_segmented","gall bladder",50,0,0.1,0.00299999999999999,-0.00242983781098307,0.2178538633488,0.00300116932246351,0.45,0.45,0.45,0.45,0.45,0.45,0.0466870072248422,0.507653579110625,0.000154901731133673,299,299,299 +"1259","OGC_AmsterdamUMC_biexp_segmented","gall bladder",100,0,0.1,0.00299999999999999,-0.000865651270529736,0.211406733512191,0.0029998533284016,0.45,0.45,0.45,0.45,0.45,0.45,0.0232232303723476,0.497649938672656,7.71872807005614e-05,299,299,299 +"1260","OGC_AmsterdamUMC_biexp_segmented","gall bladder",200,0,0.1,0.00299999999999999,-0.000343250711212429,0.213981810283726,0.00299973178135377,0.45,0.45,0.45,0.45,0.45,0.45,0.0115894628066301,0.497995228678045,3.8547140803817e-05,299,299,299 +"1261","OGC_AmsterdamUMC_biexp_segmented","Left kidney cortex",10,0.097,0.02,0.00212,0.0770289257365628,0.290009001953962,0.00212883317155661,0.45,0.45,0.45,0.45,0.45,0.45,0.166304018024042,0.603644499495657,0.00051616801847906,299,299,299 +"1262","OGC_AmsterdamUMC_biexp_segmented","Left kidney cortex",30,0.097,0.02,0.00212,0.0870000968545719,0.151929914388419,0.0021359301733605,0.45,0.45,0.45,0.45,0.45,0.45,0.0574976409055934,0.364025907839904,0.000176993129917423,299,299,299 +"1263","OGC_AmsterdamUMC_biexp_segmented","Left kidney cortex",50,0.097,0.02,0.00212,0.0889780037469703,0.061805558817787,0.00213387593192174,0.45,0.45,0.45,0.45,0.45,0.45,0.0342843737704229,0.0818597418959281,0.000105632673759659,299,299,299 +"1264","OGC_AmsterdamUMC_biexp_segmented","Left kidney cortex",100,0.097,0.02,0.00212,0.0899830331937219,0.0513588295468723,0.00213333518395996,0.45,0.45,0.45,0.45,0.45,0.45,0.0170840339210639,0.0173947389701512,5.26615544157948e-05,299,299,299 +"1265","OGC_AmsterdamUMC_biexp_segmented","Left kidney cortex",200,0.097,0.02,0.00212,0.0903344617802364,0.0500000042404332,0.00213338192941296,0.45,0.45,0.45,0.45,0.45,0.45,0.00853089075327522,1.84990926686926e-08,2.63008101231868e-05,299,299,299 +"1266","OGC_AmsterdamUMC_biexp_segmented","left kidney medulla",10,0.158,0.019,0.00209,0.131137655472228,0.23929273655041,0.00211294106858926,0.45,0.45,0.45,0.45,0.45,0.45,0.168355074392517,0.51806573149938,0.000552807844610286,299,299,299 +"1267","OGC_AmsterdamUMC_biexp_segmented","left kidney medulla",30,0.158,0.019,0.00209,0.142171494963177,0.0695125128780473,0.00212004729340849,0.45,0.45,0.45,0.45,0.45,0.45,0.0573389805736233,0.134611155772767,0.000187357474017551,299,299,299 +"1268","OGC_AmsterdamUMC_biexp_segmented","left kidney medulla",50,0.158,0.019,0.00209,0.144230450313924,0.0602733335257936,0.0021176750832144,0.45,0.45,0.45,0.45,0.45,0.45,0.0341675563935529,0.12341684421226,0.00011175436277293,299,299,299 +"1269","OGC_AmsterdamUMC_biexp_segmented","left kidney medulla",100,0.158,0.019,0.00209,0.145267407398938,0.0500000044107411,0.00211702242995272,0.45,0.45,0.45,0.45,0.45,0.45,0.0170205002442602,2.78908812166402e-08,5.56977222247853e-05,299,299,299 +"1270","OGC_AmsterdamUMC_biexp_segmented","left kidney medulla",200,0.158,0.019,0.00209,0.145626005001748,0.0500000006964344,0.00211705269269561,0.45,0.45,0.45,0.45,0.45,0.45,0.00849828677625711,3.37636833357999e-09,2.78144870865059e-05,299,299,299 +"1271","OGC_AmsterdamUMC_biexp_segmented","Liver",10,0.11,0.1,0.0015,0.0972321801659825,0.35559843435101,0.00150859052204052,0.45,0.45,0.45,0.45,0.45,0.45,0.134839808929966,0.632502439816993,0.000367327987709817,299,299,299 +"1272","OGC_AmsterdamUMC_biexp_segmented","Liver",30,0.11,0.1,0.0015,0.107694887153018,0.226173724263367,0.00150016928920599,0.45,0.45,0.45,0.45,0.45,0.45,0.0451472711617818,0.380098790845709,0.000121950650671429,299,299,299 +"1273","OGC_AmsterdamUMC_biexp_segmented","Liver",50,0.11,0.1,0.0015,0.108918954664912,0.137632134381599,0.00149957574189822,0.45,0.45,0.45,0.45,0.45,0.45,0.0269925765528699,0.173220331526938,7.29050804512238e-05,299,299,299 +"1274","OGC_AmsterdamUMC_biexp_segmented","Liver",100,0.11,0.1,0.0015,0.109571576926182,0.10728000421186,0.00149959253645644,0.45,0.45,0.45,0.45,0.45,0.45,0.0134700792856065,0.0365535919006858,3.63764396721475e-05,299,299,299 +"1275","OGC_AmsterdamUMC_biexp_segmented","Liver",200,0.11,0.1,0.0015,0.109813662467211,0.102101719440497,0.00149974766327095,0.45,0.45,0.45,0.45,0.45,0.45,0.00672998368978822,0.0157372078248851,1.81728271900004e-05,299,299,299 +"1276","OGC_AmsterdamUMC_biexp_segmented","muscle",10,0.1,0.0263,0.00137,0.0864010817642467,0.281820608767989,0.00138111286946643,0.45,0.45,0.45,0.45,0.45,0.45,0.128809055395897,0.576082022550969,0.000335370474484425,299,299,299 +"1277","OGC_AmsterdamUMC_biexp_segmented","muscle",30,0.1,0.0263,0.00137,0.0961186309188024,0.108852960821711,0.0013732685047711,0.45,0.45,0.45,0.45,0.45,0.45,0.0430522354515759,0.270193388944082,0.000111101652286189,299,299,299 +"1278","OGC_AmsterdamUMC_biexp_segmented","muscle",50,0.1,0.0263,0.00137,0.0972156100063697,0.067536405845565,0.00137289632067017,0.45,0.45,0.45,0.45,0.45,0.45,0.0257535318895164,0.160587248590975,6.64458849834937e-05,299,299,299 +"1279","OGC_AmsterdamUMC_biexp_segmented","muscle",100,0.1,0.0263,0.00137,0.0978076374026978,0.0502270267766304,0.00137299142772959,0.45,0.45,0.45,0.45,0.45,0.45,0.0128553723205091,0.00233975670320333,3.31604439586137e-05,299,299,299 +"1280","OGC_AmsterdamUMC_biexp_segmented","muscle",200,0.1,0.0263,0.00137,0.0980303448994009,0.0500000318132296,0.00137315795612677,0.45,0.45,0.45,0.45,0.45,0.45,0.00642354097915361,6.49564376557148e-08,1.65674284677779e-05,299,299,299 +"1281","OGC_AmsterdamUMC_biexp_segmented","Myocardium LV",10,0.15,0.08,0.00239999999999999,0.138704739126809,0.295330390230902,0.00236585206129062,0.45,0.45,0.45,0.45,0.45,0.45,0.183735146554994,0.574050742252561,0.000643157599413095,299,299,299 +"1282","OGC_AmsterdamUMC_biexp_segmented","Myocardium LV",30,0.15,0.08,0.00239999999999999,0.145604275349125,0.179147481979165,0.00240394817886962,0.45,0.45,0.45,0.45,0.45,0.45,0.0634614888209679,0.317296073541923,0.000220884411782712,299,299,299 +"1283","OGC_AmsterdamUMC_biexp_segmented","Myocardium LV",50,0.15,0.08,0.00239999999999999,0.14805021393175,0.111074470802632,0.00240084656515705,0.45,0.45,0.45,0.45,0.45,0.45,0.0377614889529287,0.164533235225309,0.000131670321771042,299,299,299 +"1284","OGC_AmsterdamUMC_biexp_segmented","Myocardium LV",100,0.15,0.08,0.00239999999999999,0.149292946206124,0.085364755226952,0.00239978981212116,0.45,0.45,0.45,0.45,0.45,0.45,0.0187958126668343,0.0272583269251403,6.55998924235162e-05,299,299,299 +"1285","OGC_AmsterdamUMC_biexp_segmented","Myocardium LV",200,0.15,0.08,0.00239999999999999,0.149712430608871,0.0814472113323151,0.00239973845158842,0.45,0.45,0.45,0.45,0.45,0.45,0.00938188295704309,0.0113671130776124,3.27555803897584e-05,299,299,299 +"1286","OGC_AmsterdamUMC_biexp_segmented","myocardium ra",10,0.07,0.07,0.00149999999999999,0.0578936888926156,0.331287940841223,0.0015074570368414,0.45,0.45,0.45,0.45,0.45,0.45,0.133663507882123,0.620007228092656,0.000349561522438124,299,299,299 +"1287","OGC_AmsterdamUMC_biexp_segmented","myocardium ra",30,0.07,0.07,0.00149999999999999,0.0677475634219957,0.252860529300247,0.00150007469290491,0.45,0.45,0.45,0.45,0.45,0.45,0.0451277323212313,0.462488931942281,0.000116654443357099,299,299,299 +"1288","OGC_AmsterdamUMC_biexp_segmented","myocardium ra",50,0.07,0.07,0.00149999999999999,0.0689365248276538,0.153221080157808,0.00149956512818889,0.45,0.45,0.45,0.45,0.45,0.45,0.0269874814958495,0.288290131615566,6.97554514768586e-05,299,299,299 +"1289","OGC_AmsterdamUMC_biexp_segmented","myocardium ra",100,0.07,0.07,0.00149999999999999,0.0695745982699745,0.0851832607412923,0.0014996054434596,0.45,0.45,0.45,0.45,0.45,0.45,0.0134691574345379,0.0574276092916653,3.48091848499224e-05,299,299,299 +"1290","OGC_AmsterdamUMC_biexp_segmented","myocardium ra",200,0.07,0.07,0.00149999999999999,0.0698130767334671,0.0732437488868245,0.00149975991648073,0.45,0.45,0.45,0.45,0.45,0.45,0.00672980084290309,0.0176595730150068,1.73906365194652e-05,299,299,299 +"1291","OGC_AmsterdamUMC_biexp_segmented","myocardium RV",10,0.15,0.08,0.0024,0.138704738853772,0.29533039001213,0.00236585206256623,0.45,0.45,0.45,0.45,0.45,0.45,0.183735146154628,0.574050740063509,0.000643157597359619,299,299,299 +"1292","OGC_AmsterdamUMC_biexp_segmented","myocardium RV",30,0.15,0.08,0.0024,0.145604279544077,0.179147800604903,0.00240394816245491,0.45,0.45,0.45,0.45,0.45,0.45,0.063461484601297,0.317296307372968,0.000220884399725328,299,299,299 +"1293","OGC_AmsterdamUMC_biexp_segmented","myocardium RV",50,0.15,0.08,0.0024,0.148050213963908,0.111074470877663,0.00240084656501886,0.45,0.45,0.45,0.45,0.45,0.45,0.0377614890581242,0.164533235328792,0.00013167032202768,299,299,299 +"1294","OGC_AmsterdamUMC_biexp_segmented","myocardium RV",100,0.15,0.08,0.0024,0.149292946222617,0.0853647552024634,0.00239978981206487,0.45,0.45,0.45,0.45,0.45,0.45,0.0187958126455879,0.0272583269087562,6.55998923448369e-05,299,299,299 +"1295","OGC_AmsterdamUMC_biexp_segmented","myocardium RV",200,0.15,0.08,0.0024,0.149712430350138,0.0814472116112704,0.00239973845264743,0.45,0.45,0.45,0.45,0.45,0.45,0.00938188303282705,0.011367113115482,3.27555805181391e-05,299,299,299 +"1296","OGC_AmsterdamUMC_biexp_segmented","pancreas",10,0.15,0.00999999999999999,0.00129999999999999,0.100244765551298,0.266741520271859,0.00137548084843371,0.45,0.45,0.45,0.45,0.45,0.45,0.129912389682122,0.562164105515009,0.000344116696822233,299,299,299 +"1297","OGC_AmsterdamUMC_biexp_segmented","pancreas",30,0.15,0.00999999999999999,0.00129999999999999,0.110360761013549,0.0661716727400485,0.0013666739856759,0.45,0.45,0.45,0.45,0.45,0.45,0.0433110167567929,0.140789673611398,0.000113720557425954,299,299,299 +"1298","OGC_AmsterdamUMC_biexp_segmented","pancreas",50,0.15,0.00999999999999999,0.00129999999999999,0.111480583713817,0.0539705039214313,0.00136624929757052,0.45,0.45,0.45,0.45,0.45,0.45,0.0259040669899342,0.0479429265787297,6.80011410371208e-05,299,299,299 +"1299","OGC_AmsterdamUMC_biexp_segmented","pancreas",100,0.15,0.00999999999999999,0.00129999999999999,0.112080763496885,0.0500000065580185,0.00136632895064151,0.45,0.45,0.45,0.45,0.45,0.45,0.0129294848581454,1.69774637310982e-08,3.39338191735771e-05,299,299,299 +"1300","OGC_AmsterdamUMC_biexp_segmented","pancreas",200,0.15,0.00999999999999999,0.00129999999999999,0.112304748298629,0.050000000728181,0.00136649524495796,0.45,0.45,0.45,0.45,0.45,0.45,0.00646040206529428,6.32502884143475e-09,1.69533243976284e-05,299,299,299 +"1301","OGC_AmsterdamUMC_biexp_segmented","pericardium",10,0.07,0.01,0.003,0.0520383048866685,0.178714629132691,0.0029081007321255,0.45,0.45,0.45,0.45,0.45,0.45,0.209231801194984,0.422831398413531,0.000739849914017697,299,299,299 +"1302","OGC_AmsterdamUMC_biexp_segmented","pericardium",30,0.07,0.01,0.003,0.0344582030662462,0.193439082260871,0.00306329837572394,0.45,0.45,0.45,0.45,0.45,0.45,0.0804795684111992,0.466549615489151,0.000279719698405108,299,299,299 +"1303","OGC_AmsterdamUMC_biexp_segmented","pericardium",50,0.07,0.01,0.003,0.0370860590175646,0.183326259631396,0.00306223557948637,0.45,0.45,0.45,0.45,0.45,0.45,0.0479655490540113,0.442363332609391,0.000167660569119352,299,299,299 +"1304","OGC_AmsterdamUMC_biexp_segmented","pericardium",100,0.07,0.01,0.003,0.0387485066176013,0.106024068596185,0.00306070920367385,0.45,0.45,0.45,0.45,0.45,0.45,0.0238494331958805,0.267496960507485,8.35301203209287e-05,299,299,299 +"1305","OGC_AmsterdamUMC_biexp_segmented","pericardium",200,0.07,0.01,0.003,0.0393008415356349,0.0500135454113228,0.00306053200964689,0.45,0.45,0.45,0.45,0.45,0.45,0.0118997767141507,0.000219338738394862,4.17111227275034e-05,299,299,299 +"1306","OGC_AmsterdamUMC_biexp_segmented","right kidney medulla",10,0.158,0.019,0.00209,0.131137655472228,0.23929273655041,0.00211294106858926,0.45,0.45,0.45,0.45,0.45,0.45,0.168355074392517,0.51806573149938,0.000552807844610286,299,299,299 +"1307","OGC_AmsterdamUMC_biexp_segmented","right kidney medulla",30,0.158,0.019,0.00209,0.142171494963177,0.0695125128780473,0.00212004729340849,0.45,0.45,0.45,0.45,0.45,0.45,0.0573389805736233,0.134611155772767,0.000187357474017551,299,299,299 +"1308","OGC_AmsterdamUMC_biexp_segmented","right kidney medulla",50,0.158,0.019,0.00209,0.144230450313924,0.0602733335257936,0.0021176750832144,0.45,0.45,0.45,0.45,0.45,0.45,0.0341675563935529,0.12341684421226,0.00011175436277293,299,299,299 +"1309","OGC_AmsterdamUMC_biexp_segmented","right kidney medulla",100,0.158,0.019,0.00209,0.145267407398938,0.0500000044107411,0.00211702242995272,0.45,0.45,0.45,0.45,0.45,0.45,0.0170205002442602,2.78908812166402e-08,5.56977222247853e-05,299,299,299 +"1310","OGC_AmsterdamUMC_biexp_segmented","right kidney medulla",200,0.158,0.019,0.00209,0.145626005001748,0.0500000006964344,0.00211705269269561,0.45,0.45,0.45,0.45,0.45,0.45,0.00849828677625711,3.37636833357999e-09,2.78144870865059e-05,299,299,299 +"1311","OGC_AmsterdamUMC_biexp_segmented","Right kydney cortex",10,0.097,0.02,0.00212,0.0770289257365628,0.290009001953962,0.00212883317155661,0.45,0.45,0.45,0.45,0.45,0.45,0.166304018024042,0.603644499495657,0.00051616801847906,299,299,299 +"1312","OGC_AmsterdamUMC_biexp_segmented","Right kydney cortex",30,0.097,0.02,0.00212,0.0870000968545719,0.151929914388419,0.0021359301733605,0.45,0.45,0.45,0.45,0.45,0.45,0.0574976409055934,0.364025907839904,0.000176993129917423,299,299,299 +"1313","OGC_AmsterdamUMC_biexp_segmented","Right kydney cortex",50,0.097,0.02,0.00212,0.0889780037469703,0.061805558817787,0.00213387593192174,0.45,0.45,0.45,0.45,0.45,0.45,0.0342843737704229,0.0818597418959281,0.000105632673759659,299,299,299 +"1314","OGC_AmsterdamUMC_biexp_segmented","Right kydney cortex",100,0.097,0.02,0.00212,0.0899830331937219,0.0513588295468723,0.00213333518395996,0.45,0.45,0.45,0.45,0.45,0.45,0.0170840339210639,0.0173947389701512,5.26615544157948e-05,299,299,299 +"1315","OGC_AmsterdamUMC_biexp_segmented","Right kydney cortex",200,0.097,0.02,0.00212,0.0903344617802364,0.0500000042404332,0.00213338192941296,0.45,0.45,0.45,0.45,0.45,0.45,0.00853089075327522,1.84990926686926e-08,2.63008101231868e-05,299,299,299 +"1316","OGC_AmsterdamUMC_biexp_segmented","small intestine",10,0.69,0.029,0.00130999999999999,0.661034109428733,0.0519537390309947,0.00131067694715308,0.45,0.45,0.45,0.45,0.45,0.45,0.143273359446166,0.00746591766828959,0.000965452622732951,299,299,299 +"1317","OGC_AmsterdamUMC_biexp_segmented","small intestine",30,0.69,0.029,0.00130999999999999,0.677766188297563,0.0500107152094683,0.00136286457295964,0.45,0.45,0.45,0.45,0.45,0.45,0.0442643528902771,0.000185589791259672,0.000322790072283088,299,299,299 +"1318","OGC_AmsterdamUMC_biexp_segmented","small intestine",50,0.69,0.029,0.00130999999999999,0.680228686551908,0.0500000000118474,0.00135564782204329,0.45,0.45,0.45,0.45,0.45,0.45,0.0260317923637547,1.40320090168179e-10,0.000190041408458065,299,299,299 +"1319","OGC_AmsterdamUMC_biexp_segmented","small intestine",100,0.69,0.029,0.00130999999999999,0.681374427368473,0.0500000000003099,0.00135334951494511,0.45,0.45,0.45,0.45,0.45,0.45,0.0128991835128633,1.00907554152635e-12,9.41499541220862e-05,299,299,299 +"1320","OGC_AmsterdamUMC_biexp_segmented","small intestine",200,0.69,0.029,0.00130999999999999,0.681731199274704,0.0500000000001251,0.00135319621405087,0.45,0.45,0.45,0.45,0.45,0.45,0.00643133843132689,1.04042199865913e-13,4.69285814418112e-05,299,299,299 +"1321","OGC_AmsterdamUMC_biexp_segmented","spinal cord",10,0.178,0.0289,0.00040999999999999,0.170536610287769,0.203484265059041,0.000412216373291153,0.45,0.45,0.45,0.45,0.45,0.45,0.0902830172655589,0.43472445569766,0.00019721926620414,299,299,299 +"1322","OGC_AmsterdamUMC_biexp_segmented","spinal cord",30,0.178,0.0289,0.00040999999999999,0.175609145485901,0.0530335377538122,0.000411294175803592,0.45,0.45,0.45,0.45,0.45,0.45,0.0300384814138204,0.019359445372469,6.56453653858599e-05,299,299,299 +"1323","OGC_AmsterdamUMC_biexp_segmented","spinal cord",50,0.178,0.0289,0.00040999999999999,0.176128260792783,0.0501269317154246,0.00041164306041571,0.45,0.45,0.45,0.45,0.45,0.45,0.0180064670210512,0.0011981676789107,3.93254323850774e-05,299,299,299 +"1324","OGC_AmsterdamUMC_biexp_segmented","spinal cord",100,0.178,0.0289,0.00040999999999999,0.176426146136542,0.0500000106698362,0.000411976729546494,0.45,0.45,0.45,0.45,0.45,0.45,0.00899867974123419,1.65213938199562e-08,1.96434252736051e-05,299,299,299 +"1325","OGC_AmsterdamUMC_biexp_segmented","spinal cord",200,0.178,0.0289,0.00040999999999999,0.176545844471477,0.0500000184268436,0.000412166556636171,0.45,0.45,0.45,0.45,0.45,0.45,0.00449846536777887,1.97780198126477e-08,9.81750762370185e-06,299,299,299 +"1326","OGC_AmsterdamUMC_biexp_segmented","spleen",10,0.2,0.03,0.00129999999999999,0.18520392281551,0.209255851358509,0.00131436647515706,0.45,0.45,0.45,0.45,0.45,0.45,0.128284620714988,0.437950500551392,0.000366856183513939,299,299,299 +"1327","OGC_AmsterdamUMC_biexp_segmented","spleen",30,0.2,0.03,0.00129999999999999,0.195921638044614,0.057079115489583,0.00130408703951844,0.45,0.45,0.45,0.45,0.45,0.45,0.0419884764569373,0.0531685484918454,0.000119667429133032,299,299,299 +"1328","OGC_AmsterdamUMC_biexp_segmented","spleen",50,0.2,0.03,0.00129999999999999,0.197041413325606,0.050489371637502,0.00130363013865361,0.45,0.45,0.45,0.45,0.45,0.45,0.0251082366944411,0.00383960153179065,7.15383551583112e-05,299,299,299 +"1329","OGC_AmsterdamUMC_biexp_segmented","spleen",100,0.2,0.03,0.00129999999999999,0.197638649057216,0.0500000097397441,0.0013037149142624,0.45,0.45,0.45,0.45,0.45,0.45,0.0125312243299692,1.9066976088655e-08,3.5694004704467e-05,299,299,299 +"1330","OGC_AmsterdamUMC_biexp_segmented","spleen",200,0.2,0.03,0.00129999999999999,0.197860311649606,0.050000009538866,0.00130389290756918,0.45,0.45,0.45,0.45,0.45,0.45,0.00626126043010556,1.66111763081276e-08,1.78317987728703e-05,299,299,299 +"1331","OGC_AmsterdamUMC_biexp_segmented","st wall",10,0.3,0.012,0.0015,0.224968563681001,0.152728273805847,0.0016479216070321,0.45,0.45,0.45,0.45,0.45,0.45,0.147842246732261,0.375057247712017,0.000489535230265636,299,299,299 +"1332","OGC_AmsterdamUMC_biexp_segmented","st wall",30,0.3,0.012,0.0015,0.238787520924149,0.0523502353710347,0.00163390334668452,0.45,0.45,0.45,0.45,0.45,0.45,0.0485253164912663,0.0309648575479936,0.000160157639156106,299,299,299 +"1333","OGC_AmsterdamUMC_biexp_segmented","st wall",50,0.3,0.012,0.0015,0.240378264084479,0.0500000002507408,0.00163237397031214,0.45,0.45,0.45,0.45,0.45,0.45,0.0289474376484331,2.2840093930645e-09,9.55599009443441e-05,299,299,299 +"1334","OGC_AmsterdamUMC_biexp_segmented","st wall",100,0.3,0.012,0.0015,0.24118841588049,0.0500000000085327,0.00163207076259562,0.45,0.45,0.45,0.45,0.45,0.45,0.0144296581553679,2.55196630587971e-11,4.7633881222684e-05,299,299,299 +"1335","OGC_AmsterdamUMC_biexp_segmented","st wall",200,0.3,0.012,0.0015,0.24147282165884,0.050000000003392,0.00163218547367158,0.45,0.45,0.45,0.45,0.45,0.45,0.00720667286899007,2.68542358595897e-12,2.37887610508841e-05,299,299,299 +"1336","OGC_AmsterdamUMC_biexp_segmented","Stomach Contents",10,0,0,0.003,0.0127761379432455,0.1859751022556,0.00286571564656024,0.45,0.45,0.45,0.45,0.45,0.45,0.199990185795775,0.441920126476299,0.000681575430685291,299,299,299 +"1337","OGC_AmsterdamUMC_biexp_segmented","Stomach Contents",30,0,0,0.003,-0.00484607535168973,0.221721221542177,0.00300206958589048,0.45,0.45,0.45,0.45,0.45,0.45,0.077892687993394,0.517203800391619,0.00025758408370044,299,299,299 +"1338","OGC_AmsterdamUMC_biexp_segmented","Stomach Contents",50,0,0,0.003,-0.0024298381550111,0.217853864081804,0.00300116932373983,0.45,0.45,0.45,0.45,0.45,0.45,0.0466870076487551,0.507653579031377,0.000154901733334078,299,299,299 +"1339","OGC_AmsterdamUMC_biexp_segmented","Stomach Contents",100,0,0,0.003,-0.000865651538654885,0.211406732721315,0.00299985332946493,0.45,0.45,0.45,0.45,0.45,0.45,0.02322323010563,0.497649937925972,7.71872805587063e-05,299,299,299 +"1340","OGC_AmsterdamUMC_biexp_segmented","Stomach Contents",200,0,0,0.003,-0.000343250473878959,0.21398180817435,0.00299973178042117,0.45,0.45,0.45,0.45,0.45,0.45,0.0115894630575491,0.497995225179388,3.85471414778481e-05,299,299,299 +"1341","OGC_AmsterdamUMC_biexp_segmented","trans lower intestine",10,0.69,0.029,0.00130999999999999,0.661034109428733,0.051953739032677,0.00131067694715308,0.45,0.45,0.45,0.45,0.45,0.45,0.143273359446166,0.00746591768148673,0.000965452622732951,299,299,299 +"1342","OGC_AmsterdamUMC_biexp_segmented","trans lower intestine",30,0.69,0.029,0.00130999999999999,0.677766188297563,0.0500107152094703,0.00136286457295964,0.45,0.45,0.45,0.45,0.45,0.45,0.0442643528902771,0.000185589791293374,0.000322790072283088,299,299,299 +"1343","OGC_AmsterdamUMC_biexp_segmented","trans lower intestine",50,0.69,0.029,0.00130999999999999,0.680228686551908,0.0500000000118474,0.00135564782204329,0.45,0.45,0.45,0.45,0.45,0.45,0.0260317923637547,1.40320090168179e-10,0.000190041408458065,299,299,299 +"1344","OGC_AmsterdamUMC_biexp_segmented","trans lower intestine",100,0.69,0.029,0.00130999999999999,0.681374427368473,0.0500000000003099,0.00135334951494511,0.45,0.45,0.45,0.45,0.45,0.45,0.0128991835128633,1.00907554152635e-12,9.41499541220862e-05,299,299,299 +"1345","OGC_AmsterdamUMC_biexp_segmented","trans lower intestine",200,0.69,0.029,0.00130999999999999,0.681731199274704,0.0500000000001251,0.00135319621405087,0.45,0.45,0.45,0.45,0.45,0.45,0.00643133843132689,1.04042199865913e-13,4.69285814418112e-05,299,299,299 +"1346","OGC_AmsterdamUMC_biexp_segmented","Vein",10,1,0.1,0.003,0.89187652895809,0.130371770524695,0.000532739646128184,0.45,0.45,0.45,0.45,0.45,0.45,0.0603329212170224,0.0338595995383155,0.000876166916139467,299,299,299 +"1347","OGC_AmsterdamUMC_biexp_segmented","Vein",30,1,0.1,0.003,0.963958649017849,0.108709609163886,0.000532747467797313,0.45,0.45,0.45,0.45,0.45,0.45,0.0201116860529649,0.00814087200746512,0.000876181456030473,299,299,299 +"1348","OGC_AmsterdamUMC_biexp_segmented","Vein",50,1,0.1,0.003,0.97816921696173,0.105139058114482,0.000549427490684811,0.45,0.45,0.45,0.45,0.45,0.45,0.0125526161570658,0.00468981671679721,0.000912813853531625,299,299,299 +"1349","OGC_AmsterdamUMC_biexp_segmented","Vein",100,1,0.1,0.003,0.989084383490558,0.102522060782067,0.000549477159445701,0.45,0.45,0.45,0.45,0.45,0.45,0.00627640558821837,0.00226259175037519,0.000912855515978945,299,299,299 +"1350","OGC_AmsterdamUMC_biexp_segmented","Vein",200,1,0.1,0.003,0.994541921036986,0.101255042864984,0.000549569685652002,0.45,0.45,0.45,0.45,0.45,0.45,0.00313858362490246,0.00111235352002846,0.000913010145476883,299,299,299 +"1351","OJ_GU_seg","Artery",10,1,0.1,0.00299999999999999,0.875160143206916,0.0985985592065203,0.000559668394143597,0.45,0.45,0.45,0.45,0.45,0.45,0.0857043715488832,0.00440033194355579,0.000813509589432133,299,299,299 +"1352","OJ_GU_seg","Artery",30,1,0.1,0.00299999999999999,0.959947337319767,0.0996185102952087,0.000559668394143738,0.45,0.45,0.45,0.45,0.45,0.45,0.0262215295430391,0.00133438802885354,0.000813509589424051,299,299,299 +"1353","OJ_GU_seg","Artery",50,1,0.1,0.00299999999999999,0.976140441717397,0.0997750567378949,0.000559668394143879,0.45,0.45,0.45,0.45,0.45,0.45,0.0154818647570757,0.000799335909381061,0.000813509589415969,299,299,299 +"1354","OJ_GU_seg","Artery",100,1,0.1,0.00299999999999999,0.988133082121952,0.0998910749677802,0.000559668394144231,0.45,0.45,0.45,0.45,0.45,0.45,0.0076501663089617,0.000393864953292102,0.000813509589395764,299,299,299 +"1355","OJ_GU_seg","Artery",200,1,0.1,0.00299999999999999,0.9940819717432,0.0999478117755433,0.000559668394144936,0.45,0.45,0.45,0.45,0.45,0.45,0.00380291882897739,0.00019267831493177,0.000813509589355355,299,299,299 +"1356","OJ_GU_seg","asc lower intestine",10,0.69,0.029,0.00131,0.660383607283949,0.0360198131294431,0.00123468053698358,0.45,0.45,0.45,0.45,0.45,0.45,0.161697434039348,0.0208668662934159,0.000920542746032271,299,299,299 +"1357","OJ_GU_seg","asc lower intestine",30,0.69,0.029,0.00131,0.681908260844095,0.0302687126174657,0.00132700973447194,0.45,0.45,0.45,0.45,0.45,0.45,0.0602566234888935,0.0062502438012517,0.000393815222344509,299,299,299 +"1358","OJ_GU_seg","asc lower intestine",50,0.69,0.029,0.00131,0.686477007747805,0.0294720244869336,0.00131674362004235,0.45,0.45,0.45,0.45,0.45,0.45,0.0349316937227195,0.00325207912690539,0.000231513898968858,299,299,299 +"1359","OJ_GU_seg","asc lower intestine",100,0.69,0.029,0.00131,0.688497964414452,0.0291656736837384,0.00131312061714618,0.45,0.45,0.45,0.45,0.45,0.45,0.0172461416456525,0.00155411853427829,0.0001147277567851,299,299,299 +"1360","OJ_GU_seg","asc lower intestine",200,0.69,0.029,0.00131,0.689092101185767,0.0290851344891843,0.00131259819273217,0.45,0.45,0.45,0.45,0.45,0.45,0.00859825284395657,0.000768383838177751,5.72224728859443e-05,299,299,299 +"1361","OJ_GU_seg","Blood RA",10,1,0.1,0.00299999999999999,0.875160143206916,0.0985985592065203,0.000559668394143597,0.45,0.45,0.45,0.45,0.45,0.45,0.0857043715488832,0.00440033194355579,0.000813509589432133,299,299,299 +"1362","OJ_GU_seg","Blood RA",30,1,0.1,0.00299999999999999,0.959947337319767,0.0996185102952087,0.000559668394143738,0.45,0.45,0.45,0.45,0.45,0.45,0.0262215295430391,0.00133438802885354,0.000813509589424051,299,299,299 +"1363","OJ_GU_seg","Blood RA",50,1,0.1,0.00299999999999999,0.976140441717397,0.0997750567378949,0.000559668394143879,0.45,0.45,0.45,0.45,0.45,0.45,0.0154818647570757,0.000799335909381061,0.000813509589415969,299,299,299 +"1364","OJ_GU_seg","Blood RA",100,1,0.1,0.00299999999999999,0.988133082121952,0.0998910749677802,0.000559668394144231,0.45,0.45,0.45,0.45,0.45,0.45,0.0076501663089617,0.000393864953292102,0.000813509589395764,299,299,299 +"1365","OJ_GU_seg","Blood RA",200,1,0.1,0.00299999999999999,0.9940819717432,0.0999478117755433,0.000559668394144936,0.45,0.45,0.45,0.45,0.45,0.45,0.00380291882897739,0.00019267831493177,0.000813509589355355,299,299,299 +"1366","OJ_GU_seg","Blood RV",10,1,0.1,0.003,0.875160143206916,0.0985985592065203,0.000559668394143597,0.45,0.45,0.45,0.45,0.45,0.45,0.0857043715488832,0.00440033194355578,0.000813509589432133,299,299,299 +"1367","OJ_GU_seg","Blood RV",30,1,0.1,0.003,0.959947337319767,0.0996185102952087,0.000559668394143738,0.45,0.45,0.45,0.45,0.45,0.45,0.0262215295430391,0.00133438802885353,0.000813509589424051,299,299,299 +"1368","OJ_GU_seg","Blood RV",50,1,0.1,0.003,0.976140441717397,0.0997750567378949,0.000559668394143879,0.45,0.45,0.45,0.45,0.45,0.45,0.0154818647570757,0.00079933590938106,0.000813509589415969,299,299,299 +"1369","OJ_GU_seg","Blood RV",100,1,0.1,0.003,0.988133082121952,0.0998910749677802,0.000559668394144231,0.45,0.45,0.45,0.45,0.45,0.45,0.0076501663089617,0.000393864953292097,0.000813509589395764,299,299,299 +"1370","OJ_GU_seg","Blood RV",200,1,0.1,0.003,0.9940819717432,0.0999478117755433,0.000559668394144936,0.45,0.45,0.45,0.45,0.45,0.45,0.00380291882897739,0.000192678314931766,0.000813509589355355,299,299,299 +"1371","OJ_GU_seg","Bone Marrow",10,0.145,0.05,0.00042999999999999,0.138539389300316,0.055783335932572,0.000431547199501986,0.45,0.45,0.45,0.45,0.45,0.45,0.102855814735992,0.0399229090976668,0.000222191262180348,299,299,299 +"1372","OJ_GU_seg","Bone Marrow",30,0.145,0.05,0.00042999999999999,0.141246725683378,0.0554904236865973,0.000428646865400928,0.45,0.45,0.45,0.45,0.45,0.45,0.0398312783539943,0.0286630740033641,7.57698722667892e-05,299,299,299 +"1373","OJ_GU_seg","Bone Marrow",50,0.145,0.05,0.00042999999999999,0.143582489852745,0.0536931048065781,0.000429100719743497,0.45,0.45,0.45,0.45,0.45,0.45,0.0228915555899865,0.0209890896713934,4.54085577156911e-05,299,299,299 +"1374","OJ_GU_seg","Bone Marrow",100,0.145,0.05,0.00042999999999999,0.144533371029512,0.0512866329862339,0.000429518541144981,0.45,0.45,0.45,0.45,0.45,0.45,0.0112130419485267,0.0113471293242027,2.26898315363917e-05,299,299,299 +"1375","OJ_GU_seg","Bone Marrow",200,0.145,0.05,0.00042999999999999,0.144797485175396,0.0503379620202352,0.000429751410211248,0.45,0.45,0.45,0.45,0.45,0.45,0.00561968880839328,0.00539568597633458,1.13421851613346e-05,299,299,299 +"1376","OJ_GU_seg","desc lower intestine",10,0.69,0.029,0.00130999999999999,0.660383607283949,0.0360198131294431,0.00123468053698358,0.45,0.45,0.45,0.45,0.45,0.45,0.161697434039348,0.0208668662934158,0.000920542746032271,299,299,299 +"1377","OJ_GU_seg","desc lower intestine",30,0.69,0.029,0.00130999999999999,0.681908260844095,0.0302687126174657,0.00132700973447194,0.45,0.45,0.45,0.45,0.45,0.45,0.0602566234888934,0.0062502438012517,0.000393815222344509,299,299,299 +"1378","OJ_GU_seg","desc lower intestine",50,0.69,0.029,0.00130999999999999,0.686477007747805,0.0294720244869336,0.00131674362004235,0.45,0.45,0.45,0.45,0.45,0.45,0.0349316937227195,0.00325207912690539,0.000231513898968858,299,299,299 +"1379","OJ_GU_seg","desc lower intestine",100,0.69,0.029,0.00130999999999999,0.688497964414452,0.0291656736837384,0.00131312061714618,0.45,0.45,0.45,0.45,0.45,0.45,0.0172461416456525,0.00155411853427829,0.0001147277567851,299,299,299 +"1380","OJ_GU_seg","desc lower intestine",200,0.69,0.029,0.00130999999999999,0.689092101185767,0.0290851344891843,0.00131259819273217,0.45,0.45,0.45,0.45,0.45,0.45,0.00859825284395656,0.00076838383817775,5.72224728859441e-05,299,299,299 +"1381","OJ_GU_seg","esophagus",10,0.32,0.03,0.00167,0.298662454657101,0.0474324053266064,0.00167681786971385,0.45,0.45,0.45,0.45,0.45,0.45,0.185236965071719,0.0359207616141173,0.000653841120332275,299,299,299 +"1382","OJ_GU_seg","esophagus",30,0.32,0.03,0.00167,0.313136017684052,0.0351887664520981,0.00167589711341559,0.45,0.45,0.45,0.45,0.45,0.45,0.0694023302962705,0.0176421421768426,0.000225182444773847,299,299,299 +"1383","OJ_GU_seg","esophagus",50,0.32,0.03,0.00167,0.317015929713351,0.0319586341842853,0.001672060365206,0.45,0.45,0.45,0.45,0.45,0.45,0.0403831783201381,0.00939579136126164,0.000134201659377058,299,299,299 +"1384","OJ_GU_seg","esophagus",100,0.32,0.03,0.00167,0.318777490787015,0.0305294718678618,0.00167070132845748,0.45,0.45,0.45,0.45,0.45,0.45,0.0200227829004831,0.00404718881372874,6.69014435263959e-05,299,299,299 +"1385","OJ_GU_seg","esophagus",200,0.32,0.03,0.00167,0.319365195871002,0.0301869681159677,0.00167049864819355,0.45,0.45,0.45,0.45,0.45,0.45,0.00998706008804813,0.00196242011989567,3.34227783059455e-05,299,299,299 +"1386","OJ_GU_seg","esophagus cont",10,0.32,0.03,0.00167,0.298662454657101,0.0474324053266064,0.00167681786971385,0.45,0.45,0.45,0.45,0.45,0.45,0.185236965071719,0.0359207616141173,0.000653841120332275,299,299,299 +"1387","OJ_GU_seg","esophagus cont",30,0.32,0.03,0.00167,0.313136017684052,0.0351887664520981,0.00167589711341559,0.45,0.45,0.45,0.45,0.45,0.45,0.0694023302962705,0.0176421421768426,0.000225182444773847,299,299,299 +"1388","OJ_GU_seg","esophagus cont",50,0.32,0.03,0.00167,0.317015929713351,0.0319586341842853,0.001672060365206,0.45,0.45,0.45,0.45,0.45,0.45,0.0403831783201381,0.00939579136126164,0.000134201659377058,299,299,299 +"1389","OJ_GU_seg","esophagus cont",100,0.32,0.03,0.00167,0.318777490787015,0.0305294718678618,0.00167070132845748,0.45,0.45,0.45,0.45,0.45,0.45,0.0200227829004831,0.00404718881372874,6.69014435263959e-05,299,299,299 +"1390","OJ_GU_seg","esophagus cont",200,0.32,0.03,0.00167,0.319365195871002,0.0301869681159677,0.00167049864819355,0.45,0.45,0.45,0.45,0.45,0.45,0.00998706008804813,0.00196242011989567,3.34227783059455e-05,299,299,299 +"1391","OJ_GU_seg","gall bladder",10,0,0.1,0.00299999999999999,0.163457663193867,0.0401949886462222,0.00251639195686674,0.45,0.45,0.45,0.45,0.45,0.45,0.178369267779271,0.0432442958996127,0.000573815202297129,299,299,299 +"1392","OJ_GU_seg","gall bladder",30,0,0.1,0.00299999999999999,0.0565047007861656,0.0425561479472288,0.00286404835825432,0.45,0.45,0.45,0.45,0.45,0.45,0.0697548514799253,0.0439098262152443,0.000199260285978299,299,299,299 +"1393","OJ_GU_seg","gall bladder",50,0,0.1,0.00299999999999999,0.0348637087620352,0.0426713190853867,0.00291805821210014,0.45,0.45,0.45,0.45,0.45,0.45,0.044310352004223,0.0438234784227586,0.000123233184064034,299,299,299 +"1394","OJ_GU_seg","gall bladder",100,0,0.1,0.00299999999999999,0.0179679044341499,0.0426182182587384,0.00295838389756379,0.45,0.45,0.45,0.45,0.45,0.45,0.0232685215573047,0.0437608565686221,6.33449698682764e-05,299,299,299 +"1395","OJ_GU_seg","gall bladder",200,0,0.1,0.00299999999999999,0.00913303975266958,0.0425940629439271,0.00297900497505976,0.45,0.45,0.45,0.45,0.45,0.45,0.0119401395284915,0.0437402915318881,3.21368764622582e-05,299,299,299 +"1396","OJ_GU_seg","Left kidney cortex",10,0.097,0.02,0.00212,0.143221749474363,0.0509903677471842,0.0020900451667318,0.45,0.45,0.45,0.45,0.45,0.45,0.158370146411273,0.0436633391103796,0.000599490644408966,299,299,299 +"1397","OJ_GU_seg","Left kidney cortex",30,0.097,0.02,0.00212,0.0961698446461535,0.0421037708914337,0.00212974596871877,0.45,0.45,0.45,0.45,0.45,0.45,0.0743332239284663,0.0371487247490476,0.000230469263007379,299,299,299 +"1398","OJ_GU_seg","Left kidney cortex",50,0.097,0.02,0.00212,0.0934560080571231,0.0340954781429111,0.00212487011728191,0.45,0.45,0.45,0.45,0.45,0.45,0.0500618367380464,0.0290070066953749,0.000137435557862659,299,299,299 +"1399","OJ_GU_seg","Left kidney cortex",100,0.097,0.02,0.00212,0.0945485779577244,0.0249966557922642,0.00212289344992682,0.45,0.45,0.45,0.45,0.45,0.45,0.0259886732768305,0.0149179973539983,6.85418614208242e-05,299,299,299 +"1400","OJ_GU_seg","Left kidney cortex",200,0.097,0.02,0.00212,0.0953040530535718,0.0214701017970989,0.00212243445267785,0.45,0.45,0.45,0.45,0.45,0.45,0.0127972548719384,0.005085857810108,3.42501789151346e-05,299,299,299 +"1401","OJ_GU_seg","left kidney medulla",10,0.158,0.019,0.00209,0.181013306849724,0.046211384474313,0.0020549026996581,0.45,0.45,0.45,0.45,0.45,0.45,0.173891247441275,0.0424143678917758,0.00062642809597216,299,299,299 +"1402","OJ_GU_seg","left kidney medulla",30,0.158,0.019,0.00209,0.149945279600297,0.0337341895004816,0.00210327557747946,0.45,0.45,0.45,0.45,0.45,0.45,0.0815673937410128,0.0294162208178585,0.000242647916947892,299,299,299 +"1403","OJ_GU_seg","left kidney medulla",50,0.158,0.019,0.00209,0.152111553928671,0.0261814073275644,0.0020979027081093,0.45,0.45,0.45,0.45,0.45,0.45,0.0513553211697647,0.0189989691390228,0.000144592146841082,299,299,299 +"1404","OJ_GU_seg","left kidney medulla",100,0.158,0.019,0.00209,0.154272969916683,0.0210422623657132,0.00209573573224816,0.45,0.45,0.45,0.45,0.45,0.45,0.0254303117044618,0.00654668731288662,7.20873027007734e-05,299,299,299 +"1405","OJ_GU_seg","left kidney medulla",200,0.158,0.019,0.00209,0.154990158551394,0.0198710071600072,0.00209523722709862,0.45,0.45,0.45,0.45,0.45,0.45,0.0126568874567193,0.00258192093434645,3.60177340356104e-05,299,299,299 +"1406","OJ_GU_seg","Liver",10,0.11,0.1,0.0015,0.121174302394928,0.0632596080242594,0.00151934667008307,0.45,0.45,0.45,0.45,0.45,0.45,0.130408672550802,0.0427069959132566,0.000467814207834625,299,299,299 +"1407","OJ_GU_seg","Liver",30,0.11,0.1,0.0015,0.097386825538926,0.0721004617064958,0.00150154970356565,0.45,0.45,0.45,0.45,0.45,0.45,0.0609132880287007,0.0352008955837277,0.000152137473420149,299,299,299 +"1408","OJ_GU_seg","Liver",50,0.11,0.1,0.0015,0.100258336570436,0.0785578020905229,0.0015001793132677,0.45,0.45,0.45,0.45,0.45,0.45,0.0406986877719686,0.0288930225215275,9.09783364500605e-05,299,299,299 +"1409","OJ_GU_seg","Liver",100,0.11,0.1,0.0015,0.105467771265791,0.086842577811629,0.00149981147481657,0.45,0.45,0.45,0.45,0.45,0.45,0.0208418355254417,0.0190318834932521,4.54191721323748e-05,299,299,299 +"1410","OJ_GU_seg","Liver",200,0.11,0.1,0.0015,0.107910231205115,0.0926671820676986,0.00149983778427428,0.45,0.45,0.45,0.45,0.45,0.45,0.0104930872431612,0.010987757456075,2.2698834743892e-05,299,299,299 +"1411","OJ_GU_seg","muscle",10,0.1,0.0263,0.00137,0.122149511643033,0.0516052904436484,0.00138732197053399,0.45,0.45,0.45,0.45,0.45,0.45,0.126111217186434,0.043074121606301,0.00042600067027092,299,299,299 +"1412","OJ_GU_seg","muscle",30,0.1,0.0263,0.00137,0.0972191948003025,0.042449613953765,0.00137109481562964,0.45,0.45,0.45,0.45,0.45,0.45,0.0571882059018733,0.0342106035758844,0.000137401227638092,299,299,299 +"1413","OJ_GU_seg","muscle",50,0.1,0.0263,0.00137,0.0977581054859428,0.0356940519372399,0.00137019008537505,0.45,0.45,0.45,0.45,0.45,0.45,0.0358996943955346,0.0252015066225845,8.22062574419617e-05,299,299,299 +"1414","OJ_GU_seg","muscle",100,0.1,0.0263,0.00137,0.099102372696225,0.0293576680065914,0.00137002739565608,0.45,0.45,0.45,0.45,0.45,0.45,0.0174145652255012,0.0127890304377515,4.10485896185942e-05,299,299,299 +"1415","OJ_GU_seg","muscle",200,0.1,0.0263,0.00137,0.099517444888347,0.0271007234697246,0.00137011080355004,0.45,0.45,0.45,0.45,0.45,0.45,0.00864185846979648,0.00507055736358104,2.05171522594764e-05,299,299,299 +"1416","OJ_GU_seg","Myocardium LV",10,0.15,0.08,0.00239999999999999,0.185933383808232,0.0586840993832198,0.00223705297999513,0.45,0.45,0.45,0.45,0.45,0.45,0.182246593304474,0.0427546620976011,0.000643704344454404,299,299,299 +"1417","OJ_GU_seg","Myocardium LV",30,0.15,0.08,0.00239999999999999,0.13499474256034,0.0690661269435664,0.00240850736097718,0.45,0.45,0.45,0.45,0.45,0.45,0.0895229441949049,0.0349573377964279,0.000285018336465598,299,299,299 +"1418","OJ_GU_seg","Myocardium LV",50,0.15,0.08,0.00239999999999999,0.138321609006616,0.0731637458800356,0.00240494524892322,0.45,0.45,0.45,0.45,0.45,0.45,0.0609660760529863,0.0297163657429095,0.000176237655569166,299,299,299 +"1419","OJ_GU_seg","Myocardium LV",100,0.15,0.08,0.00239999999999999,0.14552389456457,0.0781056031780197,0.00240130853104063,0.45,0.45,0.45,0.45,0.45,0.45,0.0307239334373422,0.0219225314738384,8.77945325246749e-05,299,299,299 +"1420","OJ_GU_seg","Myocardium LV",200,0.15,0.08,0.00239999999999999,0.148711121791935,0.0805718627288254,0.0024003656448271,0.45,0.45,0.45,0.45,0.45,0.45,0.0145191488408034,0.0147865556110293,4.38602779992948e-05,299,299,299 +"1421","OJ_GU_seg","myocardium ra",10,0.07,0.07,0.00149999999999999,0.10241195765119,0.0612425937064888,0.00151891454422036,0.45,0.45,0.45,0.45,0.45,0.45,0.121625380095848,0.0434614892955269,0.00044894600232219,299,299,299 +"1422","OJ_GU_seg","myocardium ra",30,0.07,0.07,0.00149999999999999,0.0666324266651361,0.0623173142968775,0.00150135349019342,0.45,0.45,0.45,0.45,0.45,0.45,0.0544491573856865,0.0393705013435465,0.000145531751808382,299,299,299 +"1423","OJ_GU_seg","myocardium ra",50,0.07,0.07,0.00149999999999999,0.0646364645292614,0.0653056684921002,0.00150012568701097,0.45,0.45,0.45,0.45,0.45,0.45,0.0370592021800007,0.0350185649496105,8.70509766552117e-05,299,299,299 +"1424","OJ_GU_seg","myocardium ra",100,0.07,0.07,0.00149999999999999,0.0672716968077972,0.069561025596545,0.00149980805922186,0.45,0.45,0.45,0.45,0.45,0.45,0.019565783176224,0.0274319512645815,4.34635558303266e-05,299,299,299 +"1425","OJ_GU_seg","myocardium ra",200,0.07,0.07,0.00149999999999999,0.0692178171419396,0.0715804234827252,0.00149984224272764,0.45,0.45,0.45,0.45,0.45,0.45,0.00926927195794506,0.0192351401889104,2.1722406158733e-05,299,299,299 +"1426","OJ_GU_seg","myocardium RV",10,0.15,0.08,0.0024,0.185933383808232,0.0586840993832198,0.00223705297999513,0.45,0.45,0.45,0.45,0.45,0.45,0.182246593304474,0.0427546620976011,0.000643704344454404,299,299,299 +"1427","OJ_GU_seg","myocardium RV",30,0.15,0.08,0.0024,0.13499474256034,0.0690661269435665,0.00240850736097718,0.45,0.45,0.45,0.45,0.45,0.45,0.089522944194905,0.0349573377964279,0.000285018336465598,299,299,299 +"1428","OJ_GU_seg","myocardium RV",50,0.15,0.08,0.0024,0.138321609006616,0.0731637458800357,0.00240494524892323,0.45,0.45,0.45,0.45,0.45,0.45,0.0609660760529864,0.0297163657429095,0.000176237655569166,299,299,299 +"1429","OJ_GU_seg","myocardium RV",100,0.15,0.08,0.0024,0.14552389456457,0.0781056031780199,0.00240130853104063,0.45,0.45,0.45,0.45,0.45,0.45,0.0307239334373423,0.0219225314738384,8.77945325246751e-05,299,299,299 +"1430","OJ_GU_seg","myocardium RV",200,0.15,0.08,0.0024,0.148711121791935,0.0805718627288254,0.0024003656448271,0.45,0.45,0.45,0.45,0.45,0.45,0.0145191488408033,0.0147865556110292,4.38602779992946e-05,299,299,299 +"1431","OJ_GU_seg","pancreas",10,0.15,0.00999999999999999,0.00129999999999999,0.146228315508373,0.0405786877660051,0.00134733839414148,0.45,0.45,0.45,0.45,0.45,0.45,0.134052186849871,0.0421017971707317,0.000431652676404867,299,299,299 +"1432","OJ_GU_seg","pancreas",30,0.15,0.00999999999999999,0.00129999999999999,0.129587772434412,0.0201747251759368,0.00133082829046642,0.45,0.45,0.45,0.45,0.45,0.45,0.0596385887928835,0.022448886251822,0.000139043262345436,299,299,299 +"1433","OJ_GU_seg","pancreas",50,0.15,0.00999999999999999,0.00129999999999999,0.130589954607114,0.0149396885646349,0.00132993462383667,0.45,0.45,0.45,0.45,0.45,0.45,0.0361375348319739,0.0123661714361928,8.31802654836126e-05,299,299,299 +"1434","OJ_GU_seg","pancreas",100,0.15,0.00999999999999999,0.00129999999999999,0.131246850251721,0.0122827104472448,0.00132978798857348,0.45,0.45,0.45,0.45,0.45,0.45,0.0181031501479642,0.00238921257516835,4.15324025056131e-05,299,299,299 +"1435","OJ_GU_seg","pancreas",200,0.15,0.00999999999999999,0.00129999999999999,0.131534804004516,0.0119127670852196,0.00132988085280344,0.45,0.45,0.45,0.45,0.45,0.45,0.00906674235644969,0.0010145155168619,2.07570268177198e-05,299,299,299 +"1436","OJ_GU_seg","pericardium",10,0.07,0.01,0.003,0.205034072245212,0.0339417238204781,0.00248346593327242,0.45,0.45,0.45,0.45,0.45,0.45,0.191197561885696,0.0397840267289662,0.000607408944578379,299,299,299 +"1437","OJ_GU_seg","pericardium",30,0.07,0.01,0.003,0.102415091430266,0.0248072770237478,0.00286821077042382,0.45,0.45,0.45,0.45,0.45,0.45,0.0777485316426198,0.0311996328634747,0.000203485012908018,299,299,299 +"1438","OJ_GU_seg","pericardium",50,0.07,0.01,0.003,0.0846024462880989,0.0180337633723601,0.00292595065915879,0.45,0.45,0.45,0.45,0.45,0.45,0.0490991257338933,0.0213153701197165,0.000122215002573936,299,299,299 +"1439","OJ_GU_seg","pericardium",100,0.07,0.01,0.003,0.071769475771448,0.012691975882373,0.00296840302656788,0.45,0.45,0.45,0.45,0.45,0.45,0.024399118358946,0.00701087613824761,5.80574107451577e-05,299,299,299 +"1440","OJ_GU_seg","pericardium",200,0.07,0.01,0.003,0.0655399641217072,0.0116767498105118,0.00298894457849476,0.45,0.45,0.45,0.45,0.45,0.45,0.0112364639470579,0.00204161285807182,2.46036260723934e-05,299,299,299 +"1441","OJ_GU_seg","right kidney medulla",10,0.158,0.019,0.00209,0.181013306849724,0.046211384474313,0.0020549026996581,0.45,0.45,0.45,0.45,0.45,0.45,0.173891247441275,0.0424143678917758,0.00062642809597216,299,299,299 +"1442","OJ_GU_seg","right kidney medulla",30,0.158,0.019,0.00209,0.149945279600297,0.0337341895004816,0.00210327557747946,0.45,0.45,0.45,0.45,0.45,0.45,0.0815673937410128,0.0294162208178585,0.000242647916947892,299,299,299 +"1443","OJ_GU_seg","right kidney medulla",50,0.158,0.019,0.00209,0.152111553928671,0.0261814073275644,0.0020979027081093,0.45,0.45,0.45,0.45,0.45,0.45,0.0513553211697647,0.0189989691390228,0.000144592146841082,299,299,299 +"1444","OJ_GU_seg","right kidney medulla",100,0.158,0.019,0.00209,0.154272969916683,0.0210422623657132,0.00209573573224816,0.45,0.45,0.45,0.45,0.45,0.45,0.0254303117044618,0.00654668731288662,7.20873027007734e-05,299,299,299 +"1445","OJ_GU_seg","right kidney medulla",200,0.158,0.019,0.00209,0.154990158551394,0.0198710071600072,0.00209523722709862,0.45,0.45,0.45,0.45,0.45,0.45,0.0126568874567193,0.00258192093434645,3.60177340356104e-05,299,299,299 +"1446","OJ_GU_seg","Right kydney cortex",10,0.097,0.02,0.00212,0.143221749474363,0.0509903677471842,0.0020900451667318,0.45,0.45,0.45,0.45,0.45,0.45,0.158370146411273,0.0436633391103796,0.000599490644408966,299,299,299 +"1447","OJ_GU_seg","Right kydney cortex",30,0.097,0.02,0.00212,0.0961698446461535,0.0421037708914337,0.00212974596871877,0.45,0.45,0.45,0.45,0.45,0.45,0.0743332239284663,0.0371487247490476,0.000230469263007379,299,299,299 +"1448","OJ_GU_seg","Right kydney cortex",50,0.097,0.02,0.00212,0.0934560080571231,0.0340954781429111,0.00212487011728191,0.45,0.45,0.45,0.45,0.45,0.45,0.0500618367380464,0.0290070066953749,0.000137435557862659,299,299,299 +"1449","OJ_GU_seg","Right kydney cortex",100,0.097,0.02,0.00212,0.0945485779577244,0.0249966557922642,0.00212289344992682,0.45,0.45,0.45,0.45,0.45,0.45,0.0259886732768305,0.0149179973539983,6.85418614208242e-05,299,299,299 +"1450","OJ_GU_seg","Right kydney cortex",200,0.097,0.02,0.00212,0.0953040530535718,0.0214701017970989,0.00212243445267785,0.45,0.45,0.45,0.45,0.45,0.45,0.0127972548719384,0.005085857810108,3.42501789151346e-05,299,299,299 +"1451","OJ_GU_seg","small intestine",10,0.69,0.029,0.00130999999999999,0.660383607283949,0.0360198131294431,0.00123468053698358,0.45,0.45,0.45,0.45,0.45,0.45,0.161697434039348,0.0208668662934159,0.000920542746032271,299,299,299 +"1452","OJ_GU_seg","small intestine",30,0.69,0.029,0.00130999999999999,0.681908260844095,0.0302687126174657,0.00132700973447194,0.45,0.45,0.45,0.45,0.45,0.45,0.0602566234888934,0.00625024380125169,0.000393815222344509,299,299,299 +"1453","OJ_GU_seg","small intestine",50,0.69,0.029,0.00130999999999999,0.686477007747805,0.0294720244869336,0.00131674362004235,0.45,0.45,0.45,0.45,0.45,0.45,0.0349316937227195,0.00325207912690539,0.000231513898968858,299,299,299 +"1454","OJ_GU_seg","small intestine",100,0.69,0.029,0.00130999999999999,0.688497964414452,0.0291656736837384,0.00131312061714618,0.45,0.45,0.45,0.45,0.45,0.45,0.0172461416456526,0.00155411853427829,0.0001147277567851,299,299,299 +"1455","OJ_GU_seg","small intestine",200,0.69,0.029,0.00130999999999999,0.689092101185767,0.0290851344891843,0.00131259819273217,0.45,0.45,0.45,0.45,0.45,0.45,0.00859825284395654,0.000768383838177749,5.72224728859441e-05,299,299,299 +"1456","OJ_GU_seg","spinal cord",10,0.178,0.0289,0.00040999999999999,0.170920893134383,0.0457993950925226,0.000412842197172396,0.45,0.45,0.45,0.45,0.45,0.45,0.107235920367554,0.03700345143674,0.000226005138164918,299,299,299 +"1457","OJ_GU_seg","spinal cord",30,0.178,0.0289,0.00040999999999999,0.175891769197472,0.0337890481300972,0.000408752875636603,0.45,0.45,0.45,0.45,0.45,0.45,0.038099500690459,0.0193021255790082,7.77734414583447e-05,299,299,299 +"1458","OJ_GU_seg","spinal cord",50,0.178,0.0289,0.00040999999999999,0.176982045289645,0.0308708410634665,0.000409225481310536,0.45,0.45,0.45,0.45,0.45,0.45,0.0224369188448206,0.0111386838500668,4.66069859599735e-05,299,299,299 +"1459","OJ_GU_seg","spinal cord",100,0.178,0.0289,0.00040999999999999,0.177510361044406,0.0293906956653721,0.000409658936419132,0.45,0.45,0.45,0.45,0.45,0.45,0.0111864691847383,0.0047473728428702,2.32873672124438e-05,299,299,299 +"1460","OJ_GU_seg","spinal cord",200,0.178,0.0289,0.00040999999999999,0.177731719801596,0.0290554017266929,0.000409900882713792,0.45,0.45,0.45,0.45,0.45,0.45,0.0055872018751089,0.00230153462557988,1.16397386617485e-05,299,299,299 +"1461","OJ_GU_seg","spleen",10,0.2,0.03,0.00129999999999999,0.193017908286634,0.0487704554326385,0.00131849824728877,0.45,0.45,0.45,0.45,0.45,0.45,0.146632775531359,0.0387944670992516,0.000458429142127421,299,299,299 +"1462","OJ_GU_seg","spleen",30,0.2,0.03,0.00129999999999999,0.19532105191423,0.0376767216315708,0.00130109192638257,0.45,0.45,0.45,0.45,0.45,0.45,0.0578891652527039,0.0232239268615809,0.000147366680785087,299,299,299 +"1463","OJ_GU_seg","spleen",50,0.2,0.03,0.00129999999999999,0.19796549264345,0.0333271549893453,0.00130009822052077,0.45,0.45,0.45,0.45,0.45,0.45,0.0336072978381408,0.0142621845338592,8.81305272439109e-05,299,299,299 +"1464","OJ_GU_seg","spleen",100,0.2,0.03,0.00129999999999999,0.199147068950321,0.0308377514425915,0.0012999305738652,0.45,0.45,0.45,0.45,0.45,0.45,0.0166384111425614,0.00586641256461509,4.39963650031632e-05,299,299,299 +"1465","OJ_GU_seg","spleen",200,0.2,0.03,0.00129999999999999,0.199570972761137,0.0302589431791176,0.00130003086878847,0.45,0.45,0.45,0.45,0.45,0.45,0.00829605775297302,0.00279505106768327,2.19871678083111e-05,299,299,299 +"1466","OJ_GU_seg","st wall",10,0.3,0.012,0.0015,0.264136908747841,0.0329723500921533,0.00156989962902242,0.45,0.45,0.45,0.45,0.45,0.45,0.173505388192269,0.0347855626082921,0.000590633103883999,299,299,299 +"1467","OJ_GU_seg","st wall",30,0.3,0.012,0.0015,0.271800059801222,0.016108933719278,0.0015521507231313,0.45,0.45,0.45,0.45,0.45,0.45,0.067162348191471,0.0108463110355725,0.00019551181943135,299,299,299 +"1468","OJ_GU_seg","st wall",50,0.3,0.012,0.0015,0.274514648535713,0.014080278824554,0.00154952387184314,0.45,0.45,0.45,0.45,0.45,0.45,0.0399231646140952,0.00321927962335861,0.000116680692587449,299,299,299 +"1469","OJ_GU_seg","st wall",100,0.3,0.012,0.0015,0.275854711623615,0.0135366704101565,0.00154867571464239,0.45,0.45,0.45,0.45,0.45,0.45,0.0199217899175701,0.0012981031226705,5.81997123021993e-05,299,299,299 +"1470","OJ_GU_seg","st wall",200,0.3,0.012,0.0015,0.276325859386771,0.0134139517377768,0.00154860554331085,0.45,0.45,0.45,0.45,0.45,0.45,0.00995872786054467,0.000617215587753671,2.90790840656842e-05,299,299,299 +"1471","OJ_GU_seg","Stomach Contents",10,0,0,0.003,0.163457663193867,0.0401949886462222,0.00251639195686674,0.45,0.45,0.45,0.45,0.45,0.45,0.178369267779271,0.0432442958996127,0.000573815202297128,299,299,299 +"1472","OJ_GU_seg","Stomach Contents",30,0,0,0.003,0.0565047007861658,0.0425561479472287,0.00286404835825432,0.45,0.45,0.45,0.45,0.45,0.45,0.0697548514799255,0.0439098262152443,0.000199260285978299,299,299,299 +"1473","OJ_GU_seg","Stomach Contents",50,0,0,0.003,0.0348637087620354,0.0426713190853866,0.00291805821210014,0.45,0.45,0.45,0.45,0.45,0.45,0.044310352004223,0.0438234784227585,0.000123233184064034,299,299,299 +"1474","OJ_GU_seg","Stomach Contents",100,0,0,0.003,0.0179679044341501,0.0426182182587381,0.00295838389756379,0.45,0.45,0.45,0.45,0.45,0.45,0.023268521557305,0.043760856568622,6.33449698682773e-05,299,299,299 +"1475","OJ_GU_seg","Stomach Contents",200,0,0,0.003,0.00913303975266979,0.042594062943927,0.00297900497505976,0.45,0.45,0.45,0.45,0.45,0.45,0.0119401395284917,0.043740291531888,3.21368764622585e-05,299,299,299 +"1476","OJ_GU_seg","trans lower intestine",10,0.69,0.029,0.00130999999999999,0.660383607283949,0.0360198131294431,0.00123468053698358,0.45,0.45,0.45,0.45,0.45,0.45,0.161697434039348,0.0208668662934159,0.000920542746032271,299,299,299 +"1477","OJ_GU_seg","trans lower intestine",30,0.69,0.029,0.00130999999999999,0.681908260844095,0.0302687126174657,0.00132700973447194,0.45,0.45,0.45,0.45,0.45,0.45,0.0602566234888934,0.00625024380125169,0.000393815222344509,299,299,299 +"1478","OJ_GU_seg","trans lower intestine",50,0.69,0.029,0.00130999999999999,0.686477007747805,0.0294720244869336,0.00131674362004235,0.45,0.45,0.45,0.45,0.45,0.45,0.0349316937227195,0.00325207912690539,0.000231513898968858,299,299,299 +"1479","OJ_GU_seg","trans lower intestine",100,0.69,0.029,0.00130999999999999,0.688497964414452,0.0291656736837384,0.00131312061714618,0.45,0.45,0.45,0.45,0.45,0.45,0.0172461416456526,0.00155411853427829,0.0001147277567851,299,299,299 +"1480","OJ_GU_seg","trans lower intestine",200,0.69,0.029,0.00130999999999999,0.689092101185767,0.0290851344891843,0.00131259819273217,0.45,0.45,0.45,0.45,0.45,0.45,0.00859825284395654,0.00076838383817775,5.72224728859441e-05,299,299,299 +"1481","OJ_GU_seg","Vein",10,1,0.1,0.003,0.875160143206916,0.0985985592065203,0.000559668394143597,0.45,0.45,0.45,0.45,0.45,0.45,0.0857043715488832,0.00440033194355579,0.000813509589432133,299,299,299 +"1482","OJ_GU_seg","Vein",30,1,0.1,0.003,0.959947337319767,0.0996185102952087,0.000559668394143738,0.45,0.45,0.45,0.45,0.45,0.45,0.0262215295430391,0.00133438802885353,0.000813509589424051,299,299,299 +"1483","OJ_GU_seg","Vein",50,1,0.1,0.003,0.976140441717397,0.0997750567378949,0.000559668394143879,0.45,0.45,0.45,0.45,0.45,0.45,0.0154818647570757,0.00079933590938106,0.000813509589415969,299,299,299 +"1484","OJ_GU_seg","Vein",100,1,0.1,0.003,0.988133082121952,0.0998910749677802,0.000559668394144231,0.45,0.45,0.45,0.45,0.45,0.45,0.0076501663089617,0.0003938649532921,0.000813509589395764,299,299,299 +"1485","OJ_GU_seg","Vein",200,1,0.1,0.003,0.9940819717432,0.0999478117755433,0.000559668394144936,0.45,0.45,0.45,0.45,0.45,0.45,0.00380291882897739,0.000192678314931768,0.000813509589355355,299,299,299 +"1486","PV_MUMC_biexp","Artery",10,1,0.1,0.00299999999999999,0.911157661208258,0.123643660010133,0.000607355415641274,0.45,0.45,0.45,0.45,0.45,0.45,0.026370429591592,0.0234808191450651,0.000781512767273926,299,299,299 +"1487","PV_MUMC_biexp","Artery",30,1,0.1,0.00299999999999999,0.971237368286232,0.106940870680017,0.000607372598717673,0.45,0.45,0.45,0.45,0.45,0.45,0.00908754536836415,0.00648210009381864,0.000781528535341981,299,299,299 +"1488","PV_MUMC_biexp","Artery",50,1,0.1,0.00299999999999999,0.982984250169882,0.104032609128781,0.000607380534286713,0.45,0.45,0.45,0.45,0.45,0.45,0.00546001928066582,0.00376732124518195,0.000781521963607196,299,299,299 +"1489","PV_MUMC_biexp","Artery",100,1,0.1,0.00299999999999999,0.991733932625788,0.101934073426922,0.000607404386458529,0.45,0.45,0.45,0.45,0.45,0.45,0.00268925596160975,0.00184607816692797,0.000781542209010902,299,299,299 +"1490","PV_MUMC_biexp","Artery",200,1,0.1,0.00299999999999999,0.99602265687933,0.100931454917891,0.000607227933379224,0.45,0.45,0.45,0.45,0.45,0.45,0.00133610299033914,0.000915147387853727,0.000780813589540255,299,299,299 +"1491","PV_MUMC_biexp","asc lower intestine",10,0.69,0.029,0.00131,0.691470348443741,0.0320827827799662,0.00124871997099421,0.45,0.45,0.45,0.45,0.45,0.45,0.105711327882623,0.0160018733803947,0.000901831520780432,299,299,299 +"1492","PV_MUMC_biexp","asc lower intestine",30,0.69,0.029,0.00131,0.688093183602688,0.0294562213775593,0.00132700814797154,0.45,0.45,0.45,0.45,0.45,0.45,0.0452600702327409,0.00371662172744882,0.00039381399431472,299,299,299 +"1493","PV_MUMC_biexp","asc lower intestine",50,0.69,0.029,0.00131,0.688966038439065,0.0291996015959812,0.00131674145667986,0.45,0.45,0.45,0.45,0.45,0.45,0.0271841976177404,0.00218348681081411,0.000231514013534254,299,299,299 +"1494","PV_MUMC_biexp","asc lower intestine",100,0.69,0.029,0.00131,0.689413085207794,0.0290804523150574,0.00131311782214893,0.45,0.45,0.45,0.45,0.45,0.45,0.0135989073521378,0.00108324352483477,0.000114727925771987,299,299,299 +"1495","PV_MUMC_biexp","asc lower intestine",200,0.69,0.029,0.00131,0.689573180929823,0.0290430944877664,0.00131259557708985,0.45,0.45,0.45,0.45,0.45,0.45,0.00680047675966801,0.000540559071227424,5.72226175968247e-05,299,299,299 +"1496","PV_MUMC_biexp","Blood RA",10,1,0.1,0.00299999999999999,0.911157661208258,0.123643660010133,0.000607355415641274,0.45,0.45,0.45,0.45,0.45,0.45,0.026370429591592,0.0234808191450651,0.000781512767273926,299,299,299 +"1497","PV_MUMC_biexp","Blood RA",30,1,0.1,0.00299999999999999,0.971237368286232,0.106940870680017,0.000607372598717673,0.45,0.45,0.45,0.45,0.45,0.45,0.00908754536836415,0.00648210009381864,0.000781528535341981,299,299,299 +"1498","PV_MUMC_biexp","Blood RA",50,1,0.1,0.00299999999999999,0.982984250169882,0.104032609128781,0.000607380534286713,0.45,0.45,0.45,0.45,0.45,0.45,0.00546001928066582,0.00376732124518195,0.000781521963607196,299,299,299 +"1499","PV_MUMC_biexp","Blood RA",100,1,0.1,0.00299999999999999,0.991733932625788,0.101934073426922,0.000607404386458529,0.45,0.45,0.45,0.45,0.45,0.45,0.00268925596160975,0.00184607816692797,0.000781542209010902,299,299,299 +"1500","PV_MUMC_biexp","Blood RA",200,1,0.1,0.00299999999999999,0.99602265687933,0.100931454917891,0.000607227933379224,0.45,0.45,0.45,0.45,0.45,0.45,0.00133610299033914,0.000915147387853727,0.000780813589540255,299,299,299 +"1501","PV_MUMC_biexp","Blood RV",10,1,0.1,0.003,0.911157661205427,0.123643660013595,0.000607355415641274,0.45,0.45,0.45,0.45,0.45,0.45,0.0263704296062989,0.0234808191539726,0.000781512767273926,299,299,299 +"1502","PV_MUMC_biexp","Blood RV",30,1,0.1,0.003,0.971237368284705,0.106940870680865,0.000607372598717673,0.45,0.45,0.45,0.45,0.45,0.45,0.00908754537244282,0.00648210009371694,0.000781528535341981,299,299,299 +"1503","PV_MUMC_biexp","Blood RV",50,1,0.1,0.003,0.982984250166763,0.104032609128906,0.000607380534286713,0.45,0.45,0.45,0.45,0.45,0.45,0.00546001928424493,0.00376732124561751,0.000781521963607196,299,299,299 +"1504","PV_MUMC_biexp","Blood RV",100,1,0.1,0.003,0.991733932625732,0.101934073427047,0.000607404386458529,0.45,0.45,0.45,0.45,0.45,0.45,0.00268925596027005,0.00184607816688224,0.000781542209010902,299,299,299 +"1505","PV_MUMC_biexp","Blood RV",200,1,0.1,0.003,0.996022656879395,0.100931454917885,0.000607227933379224,0.45,0.45,0.45,0.45,0.45,0.45,0.00133610299058227,0.00091514738792123,0.000780813589540255,299,299,299 +"1506","PV_MUMC_biexp","Bone Marrow",10,0.145,0.05,0.00042999999999999,0.160431568603077,0.0803996500694811,0.000423323415105411,0.45,0.45,0.45,0.45,0.45,0.45,0.0740082845247745,0.0714167854219496,0.0001930491514204,299,299,299 +"1507","PV_MUMC_biexp","Bone Marrow",30,0.145,0.05,0.00042999999999999,0.147158904060742,0.0591871243204991,0.000428644820559439,0.45,0.45,0.45,0.45,0.45,0.45,0.0287823108721493,0.0346934721090698,7.57694622128365e-05,299,299,299 +"1508","PV_MUMC_biexp","Bone Marrow",50,0.145,0.05,0.00042999999999999,0.145713243346334,0.0532147874572064,0.00042909879088353,0.45,0.45,0.45,0.45,0.45,0.45,0.0169901685039831,0.0177025145821536,4.54083015729501e-05,299,299,299 +"1509","PV_MUMC_biexp","Bone Marrow",100,0.145,0.05,0.00042999999999999,0.145141943777554,0.0508187444270447,0.000429516601827474,0.45,0.45,0.45,0.45,0.45,0.45,0.00837770125901214,0.00777856056735763,2.26892867721117e-05,299,299,299 +"1510","PV_MUMC_biexp","Bone Marrow",200,0.145,0.05,0.00042999999999999,0.145018002326142,0.0502518876606185,0.000429750342405026,0.45,0.45,0.45,0.45,0.45,0.45,0.00417096432460024,0.00376791414272797,1.13417474997685e-05,299,299,299 +"1511","PV_MUMC_biexp","desc lower intestine",10,0.69,0.029,0.00130999999999999,0.691470348449385,0.0320827827804682,0.00124871997089214,0.45,0.45,0.45,0.45,0.45,0.45,0.105711327880878,0.0160018733744105,0.000901831520524887,299,299,299 +"1512","PV_MUMC_biexp","desc lower intestine",30,0.69,0.029,0.00130999999999999,0.688093183608577,0.0294562213762443,0.00132700814806026,0.45,0.45,0.45,0.45,0.45,0.45,0.0452600702231963,0.00371662172587926,0.000393813994344256,299,299,299 +"1513","PV_MUMC_biexp","desc lower intestine",50,0.69,0.029,0.00130999999999999,0.688966038437431,0.0291996015961907,0.0013167414566726,0.45,0.45,0.45,0.45,0.45,0.45,0.0271841976255443,0.00218348681133594,0.000231514013602342,299,299,299 +"1514","PV_MUMC_biexp","desc lower intestine",100,0.69,0.029,0.00130999999999999,0.689413085203938,0.02908045231532,0.00131311782215909,0.45,0.45,0.45,0.45,0.45,0.45,0.0135989073560582,0.00108324352518652,0.000114727925785496,299,299,299 +"1515","PV_MUMC_biexp","desc lower intestine",200,0.69,0.029,0.00130999999999999,0.689573180929442,0.0290430944878319,0.00131259557707446,0.45,0.45,0.45,0.45,0.45,0.45,0.0068004767596195,0.000540559071230579,5.72226175945977e-05,299,299,299 +"1516","PV_MUMC_biexp","esophagus",10,0.32,0.03,0.00167,0.3419512564721,0.0443082102984724,0.00165164120949831,0.45,0.45,0.45,0.45,0.45,0.45,0.136646889239009,0.0422238469316528,0.000613120728316397,299,299,299 +"1517","PV_MUMC_biexp","esophagus",30,0.32,0.03,0.00167,0.321738000239402,0.0318901122274588,0.00167589391560245,0.45,0.45,0.45,0.45,0.45,0.45,0.0512324651704809,0.0100071517463691,0.000225181513027696,299,299,299 +"1518","PV_MUMC_biexp","esophagus",50,0.32,0.03,0.00167,0.320438404130216,0.0306881621507211,0.0016720578247402,0.45,0.45,0.45,0.45,0.45,0.45,0.0308272011982706,0.00536029641875445,0.000134201495906957,299,299,299 +"1519","PV_MUMC_biexp","esophagus",100,0.32,0.03,0.00167,0.319901550174812,0.0302186887557246,0.00167069892646832,0.45,0.45,0.45,0.45,0.45,0.45,0.0154217190196823,0.00260173292101028,6.69010926820971e-05,299,299,299 +"1520","PV_MUMC_biexp","esophagus",200,0.32,0.03,0.00167,0.319817809868434,0.0300872710754368,0.00167049620334403,0.45,0.45,0.45,0.45,0.45,0.45,0.00771274352209476,0.00129345861656721,3.34227542298666e-05,299,299,299 +"1521","PV_MUMC_biexp","esophagus cont",10,0.32,0.03,0.00167,0.3419512564721,0.0443082102984724,0.00165164120949831,0.45,0.45,0.45,0.45,0.45,0.45,0.136646889239009,0.0422238469316528,0.000613120728316397,299,299,299 +"1522","PV_MUMC_biexp","esophagus cont",30,0.32,0.03,0.00167,0.321738000239402,0.0318901122274588,0.00167589391560245,0.45,0.45,0.45,0.45,0.45,0.45,0.0512324651704809,0.0100071517463691,0.000225181513027696,299,299,299 +"1523","PV_MUMC_biexp","esophagus cont",50,0.32,0.03,0.00167,0.320438404130216,0.0306881621507211,0.0016720578247402,0.45,0.45,0.45,0.45,0.45,0.45,0.0308272011982706,0.00536029641875445,0.000134201495906957,299,299,299 +"1524","PV_MUMC_biexp","esophagus cont",100,0.32,0.03,0.00167,0.319901550174812,0.0302186887557246,0.00167069892646832,0.45,0.45,0.45,0.45,0.45,0.45,0.0154217190196823,0.00260173292101028,6.69010926820971e-05,299,299,299 +"1525","PV_MUMC_biexp","esophagus cont",200,0.32,0.03,0.00167,0.319817809868434,0.0300872710754368,0.00167049620334403,0.45,0.45,0.45,0.45,0.45,0.45,0.00771274352209476,0.00129345861656721,3.34227542298666e-05,299,299,299 +"1526","PV_MUMC_biexp","gall bladder",10,0,0.1,0.00299999999999999,0.394661101592506,0.0489282885583593,0.00245582859651805,0.45,0.45,0.45,0.45,0.45,0.45,0.374017290887172,0.0743823495335771,0.000543108026239661,299,299,299 +"1527","PV_MUMC_biexp","gall bladder",30,0,0.1,0.00299999999999999,0.404438064783307,0.038096411064683,0.00284210764629893,0.45,0.45,0.45,0.45,0.45,0.45,0.429124547279822,0.0658326311354639,0.000192344583224056,299,299,299 +"1528","PV_MUMC_biexp","gall bladder",50,0,0.1,0.00299999999999999,0.40159310285862,0.0333857587113116,0.00290457873256487,0.45,0.45,0.45,0.45,0.45,0.45,0.445083495856876,0.0609685629756637,0.000119217629880526,299,299,299 +"1529","PV_MUMC_biexp","gall bladder",100,0,0.1,0.00299999999999999,0.406697972593716,0.0263661887903376,0.00295153705637329,0.45,0.45,0.45,0.45,0.45,0.45,0.458704157444959,0.0528840812569595,6.13590911467924e-05,299,299,299 +"1530","PV_MUMC_biexp","gall bladder",200,0,0.1,0.00299999999999999,0.381700064311167,0.0221816563733591,0.00297554639389257,0.45,0.45,0.45,0.45,0.45,0.45,0.453165267776531,0.0470021044331412,3.11491666462918e-05,299,299,299 +"1531","PV_MUMC_biexp","Left kidney cortex",10,0.097,0.02,0.00212,0.220417076000319,0.0571029768448487,0.00196142630039163,0.45,0.45,0.45,0.45,0.45,0.45,0.227476267626386,0.0729478358934064,0.000476707393277127,299,299,299 +"1532","PV_MUMC_biexp","Left kidney cortex",30,0.097,0.02,0.00212,0.111610836530415,0.0396706310262654,0.00211129988129422,0.45,0.45,0.45,0.45,0.45,0.45,0.0688152496428461,0.0495971560408634,0.000201428915040513,299,299,299 +"1533","PV_MUMC_biexp","Left kidney cortex",50,0.097,0.02,0.00212,0.102266476525456,0.0297379126182991,0.00212210157066183,0.45,0.45,0.45,0.45,0.45,0.45,0.0439513706234316,0.0327823563797905,0.000131842621606404,299,299,299 +"1534","PV_MUMC_biexp","Left kidney cortex",100,0.097,0.02,0.00212,0.0976935027412244,0.0221486147583032,0.00212288813907007,0.45,0.45,0.45,0.45,0.45,0.45,0.0228519196727884,0.008359825422111,6.85394224388675e-05,299,299,299 +"1535","PV_MUMC_biexp","Left kidney cortex",200,0.097,0.02,0.00212,0.0965382138667791,0.0206882791377273,0.00212243008601598,0.45,0.45,0.45,0.45,0.45,0.45,0.0115319784046807,0.00346321897263116,3.42475058530339e-05,299,299,299 +"1536","PV_MUMC_biexp","left kidney medulla",10,0.158,0.019,0.00209,0.24120386329387,0.0509911843093028,0.00196778935813256,0.45,0.45,0.45,0.45,0.45,0.45,0.193488008898608,0.0657191990616205,0.000536034428490282,299,299,299 +"1537","PV_MUMC_biexp","left kidney medulla",30,0.158,0.019,0.00209,0.164814850462982,0.0291251142303587,0.00209685190600965,0.45,0.45,0.45,0.45,0.45,0.45,0.0712489389975971,0.0332296869821639,0.000229607461650821,299,299,299 +"1538","PV_MUMC_biexp","left kidney medulla",50,0.158,0.019,0.00209,0.159241670908134,0.0229677251921808,0.00209748613587334,0.45,0.45,0.45,0.45,0.45,0.45,0.0452036482346777,0.0163302426902368,0.00014339747354893,299,299,299 +"1539","PV_MUMC_biexp","left kidney medulla",100,0.158,0.019,0.00209,0.156984698748645,0.0199561875274044,0.00209573123449385,0.45,0.45,0.45,0.45,0.45,0.45,0.0231479275981785,0.00415813495079401,7.20856548546837e-05,299,299,299 +"1540","PV_MUMC_biexp","left kidney medulla",200,0.158,0.019,0.00209,0.156461546723381,0.0194381289374098,0.00209523456298188,0.45,0.45,0.45,0.45,0.45,0.45,0.0116921889457988,0.00197122244647025,3.60164165725836e-05,299,299,299 +"1541","PV_MUMC_biexp","Liver",10,0.11,0.1,0.0015,0.156096041950495,0.103004334953046,0.00143196282270513,0.45,0.45,0.45,0.45,0.45,0.45,0.110349251520112,0.0779961628143732,0.000358196217736956,299,299,299 +"1542","PV_MUMC_biexp","Liver",30,0.11,0.1,0.0015,0.116101779636099,0.1138229593791,0.00149777113036028,0.45,0.45,0.45,0.45,0.45,0.45,0.034776317507387,0.0600988513603365,0.000144925790948956,299,299,299 +"1543","PV_MUMC_biexp","Liver",50,0.11,0.1,0.0015,0.111612534570894,0.109841008435211,0.00150002526959645,0.45,0.45,0.45,0.45,0.45,0.45,0.0190068115405264,0.0441056576363389,9.05346431726557e-05,299,299,299 +"1544","PV_MUMC_biexp","Liver",100,0.11,0.1,0.0015,0.11025104441505,0.103810736875319,0.00149980894457395,0.45,0.45,0.45,0.45,0.45,0.45,0.00905977798222036,0.0236768256802226,4.54189359484425e-05,299,299,299 +"1545","PV_MUMC_biexp","Liver",200,0.11,0.1,0.0015,0.110022352713976,0.101269696328069,0.0014998347111719,0.45,0.45,0.45,0.45,0.45,0.45,0.0044943742719744,0.0114224658712206,2.26988794968306e-05,299,299,299 +"1546","PV_MUMC_biexp","muscle",10,0.1,0.0263,0.00137,0.146558635724454,0.0651238422310162,0.00130623531310731,0.45,0.45,0.45,0.45,0.45,0.45,0.11909804323493,0.074086868076332,0.000323900522693851,299,299,299 +"1547","PV_MUMC_biexp","muscle",30,0.1,0.0263,0.00137,0.10765580653539,0.0427569802839954,0.00136744710019195,0.45,0.45,0.45,0.45,0.45,0.45,0.0470337309376237,0.0449371347822904,0.000130638398129925,299,299,299 +"1548","PV_MUMC_biexp","muscle",50,0.1,0.0263,0.00137,0.102791781236178,0.0333140415609637,0.0013700346787244,0.45,0.45,0.45,0.45,0.45,0.45,0.0291098338945376,0.0270603056671021,8.17843252612302e-05,299,299,299 +"1549","PV_MUMC_biexp","muscle",100,0.1,0.0263,0.00137,0.1006246032223,0.0276425526005303,0.00137002415338342,0.45,0.45,0.45,0.45,0.45,0.45,0.0145792569297874,0.00757606190779754,4.10479352377135e-05,299,299,299 +"1550","PV_MUMC_biexp","muscle",200,0.1,0.0263,0.00137,0.10004469620241,0.0266930161106151,0.00137010699398098,0.45,0.45,0.45,0.45,0.45,0.45,0.00727471549077493,0.00350828775400344,2.05152787525411e-05,299,299,299 +"1551","PV_MUMC_biexp","Myocardium LV",10,0.15,0.08,0.00239999999999999,0.23174539431155,0.0906384605642774,0.00217540162550022,0.45,0.45,0.45,0.45,0.45,0.45,0.153842018760149,0.0756179000967277,0.000591423054451992,299,299,299 +"1552","PV_MUMC_biexp","Myocardium LV",30,0.15,0.08,0.00239999999999999,0.158168138696097,0.0933063148355766,0.00239930181406139,0.45,0.45,0.45,0.45,0.45,0.45,0.0489165298325264,0.0498807351105624,0.000271077988424457,299,299,299 +"1553","PV_MUMC_biexp","Myocardium LV",50,0.15,0.08,0.00239999999999999,0.152084744413601,0.08691198261456,0.00240374888675375,0.45,0.45,0.45,0.45,0.45,0.45,0.0271201467954292,0.0328951026847243,0.000173096890384203,299,299,299 +"1554","PV_MUMC_biexp","Myocardium LV",100,0.15,0.08,0.00239999999999999,0.150290059797102,0.0822822498260616,0.00240130466484584,0.45,0.45,0.45,0.45,0.45,0.45,0.0129706534691691,0.0161498295471488,8.77944422403468e-05,299,299,299 +"1555","PV_MUMC_biexp","Myocardium LV",200,0.15,0.08,0.00239999999999999,0.150002427028289,0.0807405911421086,0.00240036233090564,0.45,0.45,0.45,0.45,0.45,0.45,0.0064167988648705,0.00769652091002619,4.38595540108771e-05,299,299,299 +"1556","PV_MUMC_biexp","myocardium ra",10,0.07,0.07,0.00149999999999999,0.128345688454178,0.0825316493796263,0.00140833862231255,0.45,0.45,0.45,0.45,0.45,0.45,0.11473791398905,0.0798040122398671,0.000322847727628019,299,299,299 +"1557","PV_MUMC_biexp","myocardium ra",30,0.07,0.07,0.00149999999999999,0.0808769411624014,0.0931791892115053,0.0014908930546487,0.45,0.45,0.45,0.45,0.45,0.45,0.0404412486626306,0.0680662264430102,0.000129511673732881,299,299,299 +"1558","PV_MUMC_biexp","myocardium ra",50,0.07,0.07,0.00149999999999999,0.0738186547299239,0.0870087928357278,0.0014985782353829,0.45,0.45,0.45,0.45,0.45,0.45,0.0232445445446471,0.054497880325074,8.4016948885597e-05,299,299,299 +"1559","PV_MUMC_biexp","myocardium ra",100,0.07,0.07,0.00149999999999999,0.0707073237618119,0.0759757340286693,0.00149980568419841,0.45,0.45,0.45,0.45,0.45,0.45,0.0105581939302308,0.0292975136857821,4.34633510529085e-05,299,299,299 +"1560","PV_MUMC_biexp","myocardium ra",200,0.07,0.07,0.00149999999999999,0.0701157396220538,0.0717332279480008,0.00149983895467216,0.45,0.45,0.45,0.45,0.45,0.45,0.00507917209139536,0.0131396921774177,2.17222451736829e-05,299,299,299 +"1561","PV_MUMC_biexp","myocardium RV",10,0.15,0.08,0.0024,0.23174539274573,0.0906384604791835,0.00217540162548494,0.45,0.45,0.45,0.45,0.45,0.45,0.153842017133662,0.0756179003253372,0.000591423054588914,299,299,299 +"1562","PV_MUMC_biexp","myocardium RV",30,0.15,0.08,0.0024,0.158168138690538,0.0933063148802885,0.00239930181407727,0.45,0.45,0.45,0.45,0.45,0.45,0.0489165297851719,0.049880735145211,0.000271077988216888,299,299,299 +"1563","PV_MUMC_biexp","myocardium RV",50,0.15,0.08,0.0024,0.152084744420527,0.0869119825645677,0.00240374888679818,0.45,0.45,0.45,0.45,0.45,0.45,0.0271201467982294,0.0328951026205723,0.000173096890311616,299,299,299 +"1564","PV_MUMC_biexp","myocardium RV",100,0.15,0.08,0.0024,0.150290059805964,0.0822822498107925,0.00240130466480788,0.45,0.45,0.45,0.45,0.45,0.45,0.0129706534619757,0.0161498294765764,8.77944422191819e-05,299,299,299 +"1565","PV_MUMC_biexp","myocardium RV",200,0.15,0.08,0.0024,0.150002427028265,0.0807405911439673,0.00240036233092014,0.45,0.45,0.45,0.45,0.45,0.45,0.00641679887217117,0.00769652091390619,4.38595540374184e-05,299,299,299 +"1566","PV_MUMC_biexp","pancreas",10,0.15,0.00999999999999999,0.00129999999999999,0.170823212492842,0.0484396653851187,0.00128341130137018,0.45,0.45,0.45,0.45,0.45,0.45,0.135276782707809,0.0693648059779535,0.000342833112025323,299,299,299 +"1567","PV_MUMC_biexp","pancreas",30,0.15,0.00999999999999999,0.00129999999999999,0.139357428748065,0.0211791605907515,0.001329562076476,0.45,0.45,0.45,0.45,0.45,0.45,0.0600015003750494,0.034371482317866,0.000136158604894539,299,299,299 +"1568","PV_MUMC_biexp","pancreas",50,0.15,0.00999999999999999,0.00129999999999999,0.136832912289095,0.0133451533037491,0.00132993178965492,0.45,0.45,0.45,0.45,0.45,0.45,0.0378707540888601,0.0118353436090802,8.31807200320153e-05,299,299,299 +"1569","PV_MUMC_biexp","pancreas",100,0.15,0.00999999999999999,0.00129999999999999,0.135910790127629,0.0114641307340163,0.00132978574253568,0.45,0.45,0.45,0.45,0.45,0.45,0.0194966807504341,0.00219037197098118,4.15321836215346e-05,299,299,299 +"1570","PV_MUMC_biexp","pancreas",200,0.15,0.00999999999999999,0.00129999999999999,0.13579642146487,0.011158095789213,0.00132987960120161,0.45,0.45,0.45,0.45,0.45,0.45,0.00982799371075854,0.00097929918248083,2.07569431227751e-05,299,299,299 +"1571","PV_MUMC_biexp","pericardium",10,0.07,0.01,0.003,0.391018371439251,0.04464391797911,0.0024510337918382,0.45,0.45,0.45,0.45,0.45,0.45,0.345287579444053,0.0685553207280683,0.000589805944277708,299,299,299 +"1572","PV_MUMC_biexp","pericardium",30,0.07,0.01,0.003,0.279254964692732,0.0272516269313888,0.00286523068486119,0.45,0.45,0.45,0.45,0.45,0.45,0.326985394804595,0.0497742718337516,0.000202391605452301,299,299,299 +"1573","PV_MUMC_biexp","pericardium",50,0.07,0.01,0.003,0.197907154266521,0.0171779174492185,0.00292567942669285,0.45,0.45,0.45,0.45,0.45,0.45,0.257892258881104,0.0314712950082658,0.000122141208277058,299,299,299 +"1574","PV_MUMC_biexp","pericardium",100,0.07,0.01,0.003,0.101454632944884,0.0102999030610315,0.00296839831569643,0.45,0.45,0.45,0.45,0.45,0.45,0.0986480908078334,0.00484404884959818,5.80586216377953e-05,299,299,299 +"1575","PV_MUMC_biexp","pericardium",200,0.07,0.01,0.003,0.076407755581406,0.00995890906170602,0.0029889416468514,0.45,0.45,0.45,0.45,0.45,0.45,0.0161709345118303,0.00205930828339644,2.46063109847705e-05,299,299,299 +"1576","PV_MUMC_biexp","right kidney medulla",10,0.158,0.019,0.00209,0.24120386329387,0.0509911843093028,0.00196778935813256,0.45,0.45,0.45,0.45,0.45,0.45,0.193488008898608,0.0657191990616205,0.000536034428490282,299,299,299 +"1577","PV_MUMC_biexp","right kidney medulla",30,0.158,0.019,0.00209,0.164814850462982,0.0291251142303587,0.00209685190600965,0.45,0.45,0.45,0.45,0.45,0.45,0.0712489389975971,0.0332296869821639,0.000229607461650821,299,299,299 +"1578","PV_MUMC_biexp","right kidney medulla",50,0.158,0.019,0.00209,0.159241670908134,0.0229677251921808,0.00209748613587334,0.45,0.45,0.45,0.45,0.45,0.45,0.0452036482346777,0.0163302426902368,0.00014339747354893,299,299,299 +"1579","PV_MUMC_biexp","right kidney medulla",100,0.158,0.019,0.00209,0.156984698748645,0.0199561875274044,0.00209573123449385,0.45,0.45,0.45,0.45,0.45,0.45,0.0231479275981785,0.00415813495079401,7.20856548546837e-05,299,299,299 +"1580","PV_MUMC_biexp","right kidney medulla",200,0.158,0.019,0.00209,0.156461546723381,0.0194381289374098,0.00209523456298188,0.45,0.45,0.45,0.45,0.45,0.45,0.0116921889457988,0.00197122244647025,3.60164165725836e-05,299,299,299 +"1581","PV_MUMC_biexp","Right kydney cortex",10,0.097,0.02,0.00212,0.220417076000319,0.0571029768448487,0.00196142630039163,0.45,0.45,0.45,0.45,0.45,0.45,0.227476267626386,0.0729478358934064,0.000476707393277127,299,299,299 +"1582","PV_MUMC_biexp","Right kydney cortex",30,0.097,0.02,0.00212,0.111610836530415,0.0396706310262654,0.00211129988129422,0.45,0.45,0.45,0.45,0.45,0.45,0.0688152496428461,0.0495971560408634,0.000201428915040513,299,299,299 +"1583","PV_MUMC_biexp","Right kydney cortex",50,0.097,0.02,0.00212,0.102266476525456,0.0297379126182991,0.00212210157066183,0.45,0.45,0.45,0.45,0.45,0.45,0.0439513706234316,0.0327823563797905,0.000131842621606404,299,299,299 +"1584","PV_MUMC_biexp","Right kydney cortex",100,0.097,0.02,0.00212,0.0976935027412244,0.0221486147583032,0.00212288813907007,0.45,0.45,0.45,0.45,0.45,0.45,0.0228519196727884,0.008359825422111,6.85394224388675e-05,299,299,299 +"1585","PV_MUMC_biexp","Right kydney cortex",200,0.097,0.02,0.00212,0.0965382138667791,0.0206882791377273,0.00212243008601598,0.45,0.45,0.45,0.45,0.45,0.45,0.0115319784046807,0.00346321897263116,3.42475058530339e-05,299,299,299 +"1586","PV_MUMC_biexp","small intestine",10,0.69,0.029,0.00130999999999999,0.691470348504232,0.0320827827767598,0.00124871997062398,0.45,0.45,0.45,0.45,0.45,0.45,0.105711327852077,0.0160018733780446,0.000901831520052427,299,299,299 +"1587","PV_MUMC_biexp","small intestine",30,0.69,0.029,0.00130999999999999,0.688093183580653,0.0294562213792006,0.0013270081480987,0.45,0.45,0.45,0.45,0.45,0.45,0.0452600702467645,0.00371662172945759,0.00039381399452838,299,299,299 +"1588","PV_MUMC_biexp","small intestine",50,0.69,0.029,0.00130999999999999,0.688966038453359,0.0291996015950374,0.00131674145662316,0.45,0.45,0.45,0.45,0.45,0.45,0.0271841976217487,0.00218348681128604,0.000231514013569066,299,299,299 +"1589","PV_MUMC_biexp","small intestine",100,0.69,0.029,0.00130999999999999,0.689413085206453,0.0290804523150547,0.00131311782217142,0.45,0.45,0.45,0.45,0.45,0.45,0.0135989073525857,0.00108324352468734,0.000114727925798872,299,299,299 +"1590","PV_MUMC_biexp","small intestine",200,0.69,0.029,0.00130999999999999,0.68957318093118,0.0290430944877161,0.00131259557706545,0.45,0.45,0.45,0.45,0.45,0.45,0.0068004767588084,0.000540559071176543,5.72226175924109e-05,299,299,299 +"1591","PV_MUMC_biexp","spinal cord",10,0.178,0.0289,0.00040999999999999,0.187955748269107,0.0576902823501798,0.000411070020907352,0.45,0.45,0.45,0.45,0.45,0.45,0.0801520621580356,0.0631844285823963,0.000201996290362665,299,299,299 +"1592","PV_MUMC_biexp","spinal cord",30,0.178,0.0289,0.00040999999999999,0.179564982306428,0.0327219068098719,0.000408751122449219,0.45,0.45,0.45,0.45,0.45,0.45,0.0323015338306824,0.0165793389759311,7.77732703130556e-05,299,299,299 +"1593","PV_MUMC_biexp","spinal cord",50,0.178,0.0289,0.00040999999999999,0.178523526150464,0.0301152774098262,0.000409223651779534,0.45,0.45,0.45,0.45,0.45,0.45,0.0194237144443413,0.00764818191219669,4.66067297505373e-05,299,299,299 +"1594","PV_MUMC_biexp","spinal cord",100,0.178,0.0289,0.00040999999999999,0.17805618431555,0.0292413777426837,0.000409657257317408,0.45,0.45,0.45,0.45,0.45,0.45,0.00972251685536117,0.00359894186571975,2.32874661026814e-05,299,299,299 +"1595","PV_MUMC_biexp","spinal cord",200,0.178,0.0289,0.00040999999999999,0.177949389903262,0.0290188461964172,0.00040989948264524,0.45,0.45,0.45,0.45,0.45,0.45,0.0048647662899477,0.0017803997363461,1.16406532034859e-05,299,299,299 +"1596","PV_MUMC_biexp","spleen",10,0.2,0.03,0.00129999999999999,0.225876447466222,0.0575696360247932,0.00127966060384555,0.45,0.45,0.45,0.45,0.45,0.45,0.118602073934778,0.0625201585235363,0.000393628482668222,299,299,299 +"1597","PV_MUMC_biexp","spleen",30,0.2,0.03,0.00129999999999999,0.203121072309769,0.0348456914621601,0.00130102510958467,0.45,0.45,0.45,0.45,0.45,0.45,0.044626892292253,0.0210587095244451,0.000147164603791659,299,299,299 +"1598","PV_MUMC_biexp","spleen",50,0.2,0.03,0.00129999999999999,0.201082893663711,0.0314005146786449,0.00130009513988208,0.45,0.45,0.45,0.45,0.45,0.45,0.0267655318098113,0.00843563099034724,8.81308491758965e-05,299,299,299 +"1599","PV_MUMC_biexp","spleen",100,0.2,0.03,0.00129999999999999,0.200152032737397,0.0303879420491416,0.00129992844970833,0.45,0.45,0.45,0.45,0.45,0.45,0.0133442316606846,0.00389581230720433,4.39969606570532e-05,299,299,299 +"1600","PV_MUMC_biexp","spleen",200,0.2,0.03,0.00129999999999999,0.199941650922623,0.0301350345489834,0.00130002908549186,0.45,0.45,0.45,0.45,0.45,0.45,0.00666620755063555,0.00192377586140848,2.19877190353903e-05,299,299,299 +"1601","PV_MUMC_biexp","st wall",10,0.3,0.012,0.0015,0.298023907384314,0.0321774277900935,0.00153452580530918,0.45,0.45,0.45,0.45,0.45,0.45,0.16163401112808,0.049274756609001,0.000533257004382535,299,299,299 +"1602","PV_MUMC_biexp","st wall",30,0.3,0.012,0.0015,0.282564165739005,0.0143589906371217,0.00155214769806261,0.45,0.45,0.45,0.45,0.45,0.45,0.0672954042584457,0.00604975920850249,0.000195511671527756,299,299,299 +"1603","PV_MUMC_biexp","st wall",50,0.3,0.012,0.0015,0.282485950264033,0.0132910251698092,0.00154952110810811,0.45,0.45,0.45,0.45,0.45,0.45,0.0414670585830708,0.0026939472793187,0.000116680545576575,299,299,299 +"1604","PV_MUMC_biexp","st wall",100,0.3,0.012,0.0015,0.282721607034369,0.012895398904439,0.0015486734892867,0.45,0.45,0.45,0.45,0.45,0.45,0.0210071304067533,0.00120056802099523,5.81997124777448e-05,299,299,299 +"1605","PV_MUMC_biexp","st wall",200,0.3,0.012,0.0015,0.282901507395936,0.0127926313386534,0.00154860370648794,0.45,0.45,0.45,0.45,0.45,0.45,0.0105397038770615,0.000580337572125211,2.90796110239384e-05,299,299,299 +"1606","PV_MUMC_biexp","Stomach Contents",10,0,0,0.003,0.391735107780846,0.0489286592928759,0.0024558285962105,0.45,0.45,0.45,0.45,0.45,0.45,0.372681887932377,0.0743821189040841,0.000543108026372505,299,299,299 +"1607","PV_MUMC_biexp","Stomach Contents",30,0,0,0.003,0.403935006732722,0.0380964108240554,0.00284210764628939,0.45,0.45,0.45,0.45,0.45,0.45,0.428999126570358,0.0658326313340546,0.000192344583094327,299,299,299 +"1608","PV_MUMC_biexp","Stomach Contents",50,0,0,0.003,0.402175009031048,0.0333857445713739,0.00290457873266672,0.45,0.45,0.45,0.45,0.45,0.45,0.445766927086543,0.0609685706818157,0.000119217629692494,299,299,299 +"1609","PV_MUMC_biexp","Stomach Contents",100,0,0,0.003,0.405700593969804,0.0263661875648519,0.00295153705637826,0.45,0.45,0.45,0.45,0.45,0.45,0.457670349349953,0.0528840816238803,6.13590911379345e-05,299,299,299 +"1610","PV_MUMC_biexp","Stomach Contents",200,0,0,0.003,0.385387456607735,0.0221816596471037,0.00297554639389306,0.45,0.45,0.45,0.45,0.45,0.45,0.456769582024023,0.0470020880333204,3.11491666426062e-05,299,299,299 +"1611","PV_MUMC_biexp","trans lower intestine",10,0.69,0.029,0.00130999999999999,0.69147034850835,0.0320827827705391,0.00124871997062398,0.45,0.45,0.45,0.45,0.45,0.45,0.105711327778677,0.0160018733594873,0.000901831520052427,299,299,299 +"1612","PV_MUMC_biexp","trans lower intestine",30,0.69,0.029,0.00130999999999999,0.688093183592201,0.0294562213780215,0.0013270081480987,0.45,0.45,0.45,0.45,0.45,0.45,0.0452600702314974,0.0037166217263804,0.00039381399452838,299,299,299 +"1613","PV_MUMC_biexp","trans lower intestine",50,0.69,0.029,0.00130999999999999,0.688966038447113,0.0291996015955392,0.00131674145662316,0.45,0.45,0.45,0.45,0.45,0.45,0.0271841976254947,0.00218348681124656,0.000231514013569066,299,299,299 +"1614","PV_MUMC_biexp","trans lower intestine",100,0.69,0.029,0.00130999999999999,0.689413085205192,0.0290804523152176,0.00131311782217142,0.45,0.45,0.45,0.45,0.45,0.45,0.0135989073535134,0.00108324352525754,0.000114727925798872,299,299,299 +"1615","PV_MUMC_biexp","trans lower intestine",200,0.69,0.029,0.00130999999999999,0.689573180928788,0.0290430944879027,0.00131259557706545,0.45,0.45,0.45,0.45,0.45,0.45,0.00680047676072954,0.000540559071296888,5.72226175924109e-05,299,299,299 +"1616","PV_MUMC_biexp","Vein",10,1,0.1,0.003,0.911157661201933,0.123643660019881,0.000607355415641274,0.45,0.45,0.45,0.45,0.45,0.45,0.0263704296071724,0.0234808191547324,0.000781512767273926,299,299,299 +"1617","PV_MUMC_biexp","Vein",30,1,0.1,0.003,0.971237368284223,0.106940870680377,0.000607372598717673,0.45,0.45,0.45,0.45,0.45,0.45,0.00908754536827744,0.00648210009257791,0.000781528535341981,299,299,299 +"1618","PV_MUMC_biexp","Vein",50,1,0.1,0.003,0.982984250165467,0.104032609129434,0.000607380534286713,0.45,0.45,0.45,0.45,0.45,0.45,0.00546001928016874,0.00376732124549515,0.000781521963607196,299,299,299 +"1619","PV_MUMC_biexp","Vein",100,1,0.1,0.003,0.991733932627642,0.101934073426748,0.000607404386458529,0.45,0.45,0.45,0.45,0.45,0.45,0.00268925596046031,0.00184607816687764,0.000781542209010902,299,299,299 +"1620","PV_MUMC_biexp","Vein",200,1,0.1,0.003,0.996022656879185,0.100931454917881,0.000607227933379224,0.45,0.45,0.45,0.45,0.45,0.45,0.00133610299004237,0.00091514738790242,0.000780813589540255,299,299,299 +"1621","PvH_KB_NKI_IVIMfit","Artery",10,1,0.1,0.00299999999999999,0.925854765740672,0.122594446175348,0.000574991619531873,0.45,0.45,0.45,0.45,0.45,0.45,0.0581968702826341,0.16338266599376,0.000860131480490684,299,299,299 +"1622","PvH_KB_NKI_IVIMfit","Artery",30,1,0.1,0.00299999999999999,0.975434046263813,0.106084352342321,0.000574989635117283,0.45,0.45,0.45,0.45,0.45,0.45,0.0193986641365219,0.0502272821523288,0.000860129451432506,299,299,299 +"1623","PvH_KB_NKI_IVIMfit","Artery",50,1,0.1,0.00299999999999999,0.985264177302766,0.1035116627474,0.000574987648133532,0.45,0.45,0.45,0.45,0.45,0.45,0.0116639576048978,0.0297635282059204,0.000860127422073134,299,299,299 +"1624","PvH_KB_NKI_IVIMfit","Artery",100,1,0.1,0.00299999999999999,0.992631985415158,0.101706371823852,0.000574982669398246,0.45,0.45,0.45,0.45,0.45,0.45,0.00584397242277973,0.0147530238753376,0.000860122347364691,299,299,299 +"1625","PvH_KB_NKI_IVIMfit","Artery",200,1,0.1,0.00299999999999999,0.996315722324709,0.10084120596656,0.000574972663309995,0.45,0.45,0.45,0.45,0.45,0.45,0.00292541862788362,0.00734598250269145,0.000860112192396902,299,299,299 +"1626","PvH_KB_NKI_IVIMfit","asc lower intestine",10,0.69,0.029,0.00131,0.680218362444095,0.0500663182494933,0.00145020569396961,0.45,0.45,0.45,0.45,0.45,0.45,0.18320141147568,0.238940197069378,0.00107227605518526,299,299,299 +"1627","PvH_KB_NKI_IVIMfit","asc lower intestine",30,0.69,0.029,0.00131,0.676680511546324,0.03411776348862,0.00139504564681615,0.45,0.45,0.45,0.45,0.45,0.45,0.065965120993601,0.0695342477735909,0.000430833853766582,299,299,299 +"1628","PvH_KB_NKI_IVIMfit","asc lower intestine",50,0.69,0.029,0.00131,0.683651184865244,0.0318790831019141,0.00134158593671561,0.45,0.45,0.45,0.45,0.45,0.45,0.031483838344407,0.0409943521607107,0.000218127540832125,299,299,299 +"1629","PvH_KB_NKI_IVIMfit","asc lower intestine",100,0.69,0.029,0.00131,0.685021723698742,0.0304649311635959,0.00132963191638665,0.45,0.45,0.45,0.45,0.45,0.45,0.0151528426021628,0.0204282695180872,0.00010491631501074,299,299,299 +"1630","PvH_KB_NKI_IVIMfit","asc lower intestine",200,0.69,0.029,0.00131,0.685125407692503,0.0298136345250442,0.00132919801634713,0.45,0.45,0.45,0.45,0.45,0.45,0.00755023567893948,0.0102124659620521,5.21741063712151e-05,299,299,299 +"1631","PvH_KB_NKI_IVIMfit","Blood RA",10,1,0.1,0.00299999999999999,0.925854765740672,0.122594446175348,0.000574991619531873,0.45,0.45,0.45,0.45,0.45,0.45,0.0581968702826341,0.16338266599376,0.000860131480490684,299,299,299 +"1632","PvH_KB_NKI_IVIMfit","Blood RA",30,1,0.1,0.00299999999999999,0.975434046263813,0.106084352342321,0.000574989635117283,0.45,0.45,0.45,0.45,0.45,0.45,0.0193986641365219,0.0502272821523288,0.000860129451432506,299,299,299 +"1633","PvH_KB_NKI_IVIMfit","Blood RA",50,1,0.1,0.00299999999999999,0.985264177302766,0.1035116627474,0.000574987648133532,0.45,0.45,0.45,0.45,0.45,0.45,0.0116639576048978,0.0297635282059204,0.000860127422073134,299,299,299 +"1634","PvH_KB_NKI_IVIMfit","Blood RA",100,1,0.1,0.00299999999999999,0.992631985415158,0.101706371823852,0.000574982669398246,0.45,0.45,0.45,0.45,0.45,0.45,0.00584397242277973,0.0147530238753376,0.000860122347364691,299,299,299 +"1635","PvH_KB_NKI_IVIMfit","Blood RA",200,1,0.1,0.00299999999999999,0.996315722324709,0.10084120596656,0.000574972663309995,0.45,0.45,0.45,0.45,0.45,0.45,0.00292541862788362,0.00734598250269145,0.000860112192396902,299,299,299 +"1636","PvH_KB_NKI_IVIMfit","Blood RV",10,1,0.1,0.003,0.925854765740672,0.122594446175349,0.000574991619531873,0.45,0.45,0.45,0.45,0.45,0.45,0.0581968702826341,0.16338266599376,0.000860131480490684,299,299,299 +"1637","PvH_KB_NKI_IVIMfit","Blood RV",30,1,0.1,0.003,0.975434046263813,0.106084352342321,0.000574989635117283,0.45,0.45,0.45,0.45,0.45,0.45,0.0193986641365219,0.0502272821523288,0.000860129451432506,299,299,299 +"1638","PvH_KB_NKI_IVIMfit","Blood RV",50,1,0.1,0.003,0.985264177302766,0.103511662747401,0.000574987648133532,0.45,0.45,0.45,0.45,0.45,0.45,0.0116639576048978,0.0297635282059204,0.000860127422073134,299,299,299 +"1639","PvH_KB_NKI_IVIMfit","Blood RV",100,1,0.1,0.003,0.992631985415158,0.101706371823852,0.000574982669398246,0.45,0.45,0.45,0.45,0.45,0.45,0.00584397242277973,0.0147530238753376,0.000860122347364691,299,299,299 +"1640","PvH_KB_NKI_IVIMfit","Blood RV",200,1,0.1,0.003,0.996315722324709,0.10084120596656,0.000574972663309995,0.45,0.45,0.45,0.45,0.45,0.45,0.00292541862788362,0.00734598250269145,0.000860112192396902,299,299,299 +"1641","PvH_KB_NKI_IVIMfit","Bone Marrow",10,0.145,0.05,0.00042999999999999,0.147617537326652,0.0973097101844387,0.000430302461152356,0.45,0.45,0.45,0.45,0.45,0.45,0.106449062939139,1.02242120090024,0.00019426941018255,299,299,299 +"1642","PvH_KB_NKI_IVIMfit","Bone Marrow",30,0.145,0.05,0.00042999999999999,0.144413073604272,0.0937732676856994,0.000428065349759045,0.45,0.45,0.45,0.45,0.45,0.45,0.0402591440047732,0.382338927189632,6.3869136029697e-05,299,299,299 +"1643","PvH_KB_NKI_IVIMfit","Bone Marrow",50,0.145,0.05,0.00042999999999999,0.144812064980205,0.0683128644620107,0.000428649684483738,0.45,0.45,0.45,0.45,0.45,0.45,0.0241876471750177,0.204451815395254,3.83147731719645e-05,299,299,299 +"1644","PvH_KB_NKI_IVIMfit","Bone Marrow",100,0.145,0.05,0.00042999999999999,0.144954016715398,0.057342389617849,0.000429275645121577,0.45,0.45,0.45,0.45,0.45,0.45,0.012116621935103,0.0987173760354769,1.91691320508898e-05,299,299,299 +"1645","PvH_KB_NKI_IVIMfit","Bone Marrow",200,0.145,0.05,0.00042999999999999,0.144974541745207,0.0533007774103966,0.000429648544505844,0.45,0.45,0.45,0.45,0.45,0.45,0.00606574576497297,0.0489958360315536,9.58978206256752e-06,299,299,299 +"1646","PvH_KB_NKI_IVIMfit","desc lower intestine",10,0.69,0.029,0.00130999999999999,0.680218362444095,0.050066318249493,0.00145020569396961,0.45,0.45,0.45,0.45,0.45,0.45,0.183201411475679,0.238940197069379,0.00107227605518525,299,299,299 +"1647","PvH_KB_NKI_IVIMfit","desc lower intestine",30,0.69,0.029,0.00130999999999999,0.676680511546324,0.03411776348862,0.00139504564681615,0.45,0.45,0.45,0.45,0.45,0.45,0.0659651209936008,0.0695342477735909,0.000430833853766582,299,299,299 +"1648","PvH_KB_NKI_IVIMfit","desc lower intestine",50,0.69,0.029,0.00130999999999999,0.683651184865244,0.0318790831019141,0.00134158593671561,0.45,0.45,0.45,0.45,0.45,0.45,0.031483838344407,0.0409943521607107,0.000218127540832125,299,299,299 +"1649","PvH_KB_NKI_IVIMfit","desc lower intestine",100,0.69,0.029,0.00130999999999999,0.685021723698742,0.0304649311635959,0.00132963191638665,0.45,0.45,0.45,0.45,0.45,0.45,0.0151528426021628,0.0204282695180872,0.00010491631501074,299,299,299 +"1650","PvH_KB_NKI_IVIMfit","desc lower intestine",200,0.69,0.029,0.00130999999999999,0.685125407692503,0.0298136345250442,0.00132919801634713,0.45,0.45,0.45,0.45,0.45,0.45,0.00755023567893947,0.0102124659620521,5.21741063712151e-05,299,299,299 +"1651","PvH_KB_NKI_IVIMfit","esophagus",10,0.32,0.03,0.00167,0.29841059274169,0.0442917245746802,0.00187408166083415,0.45,0.45,0.45,0.45,0.45,0.45,0.184008516163715,0.548526724845916,0.000802631212510903,299,299,299 +"1652","PvH_KB_NKI_IVIMfit","esophagus",30,0.32,0.03,0.00167,0.313531066218477,0.0430413742767113,0.00168684044245015,0.45,0.45,0.45,0.45,0.45,0.45,0.0710064243302227,0.170195578630213,0.000230630539852498,299,299,299 +"1653","PvH_KB_NKI_IVIMfit","esophagus",50,0.32,0.03,0.00167,0.317578815938024,0.0366509096410508,0.00167311412934981,0.45,0.45,0.45,0.45,0.45,0.45,0.0404456721798995,0.0899370095778668,0.000132104288440074,299,299,299 +"1654","PvH_KB_NKI_IVIMfit","esophagus",100,0.32,0.03,0.00167,0.318448941931438,0.0330389958676046,0.00167079957042429,0.45,0.45,0.45,0.45,0.45,0.45,0.0199938893842113,0.0441125999132166,6.5241284843779e-05,299,299,299 +"1655","PvH_KB_NKI_IVIMfit","esophagus",200,0.32,0.03,0.00167,0.318325957819888,0.0315293748842576,0.00167183204686577,0.45,0.45,0.45,0.45,0.45,0.45,0.00999687327785091,0.0220004280760452,3.25799640736596e-05,299,299,299 +"1656","PvH_KB_NKI_IVIMfit","esophagus cont",10,0.32,0.03,0.00167,0.29841059274169,0.0442917245746802,0.00187408166083415,0.45,0.45,0.45,0.45,0.45,0.45,0.184008516163715,0.548526724845916,0.000802631212510903,299,299,299 +"1657","PvH_KB_NKI_IVIMfit","esophagus cont",30,0.32,0.03,0.00167,0.313531066218477,0.0430413742767113,0.00168684044245015,0.45,0.45,0.45,0.45,0.45,0.45,0.0710064243302227,0.170195578630213,0.000230630539852498,299,299,299 +"1658","PvH_KB_NKI_IVIMfit","esophagus cont",50,0.32,0.03,0.00167,0.317578815938024,0.0366509096410508,0.00167311412934981,0.45,0.45,0.45,0.45,0.45,0.45,0.0404456721798995,0.0899370095778668,0.000132104288440074,299,299,299 +"1659","PvH_KB_NKI_IVIMfit","esophagus cont",100,0.32,0.03,0.00167,0.318448941931438,0.0330389958676046,0.00167079957042429,0.45,0.45,0.45,0.45,0.45,0.45,0.0199938893842113,0.0441125999132166,6.5241284843779e-05,299,299,299 +"1660","PvH_KB_NKI_IVIMfit","esophagus cont",200,0.32,0.03,0.00167,0.318325957819888,0.0315293748842576,0.00167183204686577,0.45,0.45,0.45,0.45,0.45,0.45,0.00999687327785091,0.0220004280760452,3.25799640736596e-05,299,299,299 +"1661","PvH_KB_NKI_IVIMfit","gall bladder",10,0,0.1,0.00299999999999999,0.157594214584835,0.0252804214326879,0.00293093581837056,0.45,0.45,0.45,0.45,0.45,0.45,0.176185562785597,0.710827465918593,0.000964664353368854,299,299,299 +"1662","PvH_KB_NKI_IVIMfit","gall bladder",30,0,0.1,0.00299999999999999,0.0583098290853395,0.0340892533060243,0.00312961069470999,0.45,0.45,0.45,0.45,0.45,0.45,0.0811840922152971,0.498321078852498,0.000614494127036741,299,299,299 +"1663","PvH_KB_NKI_IVIMfit","gall bladder",50,0,0.1,0.00299999999999999,0.0396872532003153,-0.00163285114651488,0.00304746792228148,0.45,0.45,0.45,0.45,0.45,0.45,0.0555413856963977,0.746796075580112,0.000389418065924103,299,299,299 +"1664","PvH_KB_NKI_IVIMfit","gall bladder",100,0,0.1,0.00299999999999999,0.0224793889955065,0.0298999184316661,0.00299879992559726,0.45,0.45,0.45,0.45,0.45,0.45,0.0313416132582838,0.497459451692345,0.000157490376981279,299,299,299 +"1665","PvH_KB_NKI_IVIMfit","gall bladder",200,0,0.1,0.00299999999999999,0.0120502465126404,0.0280592104422415,0.00299477183305965,0.45,0.45,0.45,0.45,0.45,0.45,0.0168946442517142,0.508925178685697,7.66328420899911e-05,299,299,299 +"1666","PvH_KB_NKI_IVIMfit","Left kidney cortex",10,0.097,0.02,0.00212,0.137208356725514,0.0328556971324846,0.00234326664289797,0.45,0.45,0.45,0.45,0.45,0.45,0.15082347496435,0.709808610584414,0.000864240976087832,299,299,299 +"1667","PvH_KB_NKI_IVIMfit","Left kidney cortex",30,0.097,0.02,0.00212,0.0992412318439564,0.0541673413725415,0.00214700894107657,0.45,0.45,0.45,0.45,0.45,0.45,0.0755136199052382,0.714891073500594,0.000274973775845307,299,299,299 +"1668","PvH_KB_NKI_IVIMfit","Left kidney cortex",50,0.097,0.02,0.00212,0.0949976583740269,0.0352799627988735,0.00212503830893963,0.45,0.45,0.45,0.45,0.45,0.45,0.05273380889146,0.514843545827012,0.000151034004693661,299,299,299 +"1669","PvH_KB_NKI_IVIMfit","Left kidney cortex",100,0.097,0.02,0.00212,0.0945738449819955,0.0377584763249772,0.00212098430091707,0.45,0.45,0.45,0.45,0.45,0.45,0.0282686751362,0.195276335283525,7.39915972157195e-05,299,299,299 +"1670","PvH_KB_NKI_IVIMfit","Left kidney cortex",200,0.097,0.02,0.00212,0.09440985913665,0.0257008245150506,0.00212206065941023,0.45,0.45,0.45,0.45,0.45,0.45,0.0141025883395057,0.0756451362928356,3.68974365660527e-05,299,299,299 +"1671","PvH_KB_NKI_IVIMfit","left kidney medulla",10,0.158,0.019,0.00209,0.172769410759528,-0.0129025903180061,0.00231850649703214,0.45,0.45,0.45,0.45,0.45,0.45,0.167588199078237,0.881872268074511,0.000848804581955418,299,299,299 +"1672","PvH_KB_NKI_IVIMfit","left kidney medulla",30,0.158,0.019,0.00209,0.149260396785261,0.0838122057649798,0.00212653844272449,0.45,0.45,0.45,0.45,0.45,0.45,0.0846050158116964,0.756780752576388,0.000292908118231183,299,299,299 +"1673","PvH_KB_NKI_IVIMfit","left kidney medulla",50,0.158,0.019,0.00209,0.150537693871634,0.0320429234340867,0.00210117866439973,0.45,0.45,0.45,0.45,0.45,0.45,0.0558407026206822,0.238929110798656,0.00015795927517406,299,299,299 +"1674","PvH_KB_NKI_IVIMfit","left kidney medulla",100,0.158,0.019,0.00209,0.152330432578386,0.0263377429259093,0.00209634314665668,0.45,0.45,0.45,0.45,0.45,0.45,0.0275597380910475,0.0953262700118966,7.72066050910961e-05,299,299,299 +"1675","PvH_KB_NKI_IVIMfit","left kidney medulla",200,0.158,0.019,0.00209,0.152214803867475,0.0226013390728155,0.00209731568778259,0.45,0.45,0.45,0.45,0.45,0.45,0.0137429741491781,0.0460334488348233,3.84859139679403e-05,299,299,299 +"1676","PvH_KB_NKI_IVIMfit","Liver",10,0.11,0.1,0.0015,0.130553125135909,0.0509693625828437,0.0016065178196472,0.45,0.45,0.45,0.45,0.45,0.45,0.129706715815292,0.792719308738518,0.000572920768415419,299,299,299 +"1677","PvH_KB_NKI_IVIMfit","Liver",30,0.11,0.1,0.0015,0.110278145674883,0.149442129088004,0.00150011017405457,0.45,0.45,0.45,0.45,0.45,0.45,0.0601392900256081,0.625749782983355,0.000145272381840614,299,299,299 +"1678","PvH_KB_NKI_IVIMfit","Liver",50,0.11,0.1,0.0015,0.110399658585875,0.156527047310139,0.00149684450774862,0.45,0.45,0.45,0.45,0.45,0.45,0.0376036872310902,0.425066413433666,8.60313303494503e-05,299,299,299 +"1679","PvH_KB_NKI_IVIMfit","Liver",100,0.11,0.1,0.0015,0.110613242728435,0.113081530764667,0.00149725968516574,0.45,0.45,0.45,0.45,0.45,0.45,0.0187819737007067,0.139029982910973,4.28771429001848e-05,299,299,299 +"1680","PvH_KB_NKI_IVIMfit","Liver",200,0.11,0.1,0.0015,0.110409079705549,0.104936964791345,0.00149834160010346,0.45,0.45,0.45,0.45,0.45,0.45,0.00940444951440735,0.0672001936578303,2.14439959817085e-05,299,299,299 +"1681","PvH_KB_NKI_IVIMfit","muscle",10,0.1,0.0263,0.00137,0.121217759405652,0.0337289983225192,0.00145508376372321,0.45,0.45,0.45,0.45,0.45,0.45,0.12211087989754,0.889820449143213,0.000495789929574227,299,299,299 +"1682","PvH_KB_NKI_IVIMfit","muscle",30,0.1,0.0263,0.00137,0.0994744638063604,0.0748472222142191,0.00137048647660015,0.45,0.45,0.45,0.45,0.45,0.45,0.0561311627097612,0.617385030222851,0.000127636648373978,299,299,299 +"1683","PvH_KB_NKI_IVIMfit","muscle",50,0.1,0.0263,0.00137,0.0992569308368275,0.062595892117846,0.00136861371439011,0.45,0.45,0.45,0.45,0.45,0.45,0.0351713955993977,0.367360425272153,7.59170169402965e-05,299,299,299 +"1684","PvH_KB_NKI_IVIMfit","muscle",100,0.1,0.0263,0.00137,0.0993753189857518,0.0380082407557786,0.00136930176651644,0.45,0.45,0.45,0.45,0.45,0.45,0.0175918669595637,0.146312809821239,3.78879435582601e-05,299,299,299 +"1685","PvH_KB_NKI_IVIMfit","muscle",200,0.1,0.0263,0.00137,0.099194937568481,0.0313938019673037,0.00137029357729229,0.45,0.45,0.45,0.45,0.45,0.45,0.00880976474197162,0.0709724356322882,1.89524047501288e-05,299,299,299 +"1686","PvH_KB_NKI_IVIMfit","Myocardium LV",10,0.15,0.08,0.00239999999999999,0.192025856189917,-0.0116385614260143,0.00259907377107704,0.45,0.45,0.45,0.45,0.45,0.45,0.179951896755359,0.653285559753484,0.000985415011828641,299,299,299 +"1687","PvH_KB_NKI_IVIMfit","Myocardium LV",30,0.15,0.08,0.00239999999999999,0.147972386415508,0.086116542760703,0.0024674944945235,0.45,0.45,0.45,0.45,0.45,0.45,0.0975517459309261,0.44073807796308,0.000442366071987322,299,299,299 +"1688","PvH_KB_NKI_IVIMfit","Myocardium LV",50,0.15,0.08,0.00239999999999999,0.14844758544319,0.117368159099584,0.00240902650835479,0.45,0.45,0.45,0.45,0.45,0.45,0.0677149969447882,0.347462871948289,0.000216738591253995,299,299,299 +"1689","PvH_KB_NKI_IVIMfit","Myocardium LV",100,0.15,0.08,0.00239999999999999,0.150826921782195,0.0925669085492539,0.00239596194867005,0.45,0.45,0.45,0.45,0.45,0.45,0.0350209589736281,0.111206592869965,0.000102587631606259,299,299,299 +"1690","PvH_KB_NKI_IVIMfit","Myocardium LV",200,0.15,0.08,0.00239999999999999,0.151062767866115,0.0836181213359814,0.0023960480342215,0.45,0.45,0.45,0.45,0.45,0.45,0.0173407897911809,0.0492417148911839,5.08898087046965e-05,299,299,299 +"1691","PvH_KB_NKI_IVIMfit","myocardium ra",10,0.07,0.07,0.00149999999999999,0.104891587924175,0.00607975763166003,0.0016006526233169,0.45,0.45,0.45,0.45,0.45,0.45,0.118242882720712,0.784263691811176,0.000552215395037113,299,299,299 +"1692","PvH_KB_NKI_IVIMfit","myocardium ra",30,0.07,0.07,0.00149999999999999,0.0739083859817402,0.0645768275334395,0.0014995372849829,0.45,0.45,0.45,0.45,0.45,0.45,0.0552732082517841,0.772165078977769,0.000138751825608962,299,299,299 +"1693","PvH_KB_NKI_IVIMfit","myocardium ra",50,0.07,0.07,0.00149999999999999,0.0708663136362168,0.123754667071947,0.00149678850563412,0.45,0.45,0.45,0.45,0.45,0.45,0.0370810778303523,0.731555137917952,8.22913661782405e-05,299,299,299 +"1694","PvH_KB_NKI_IVIMfit","myocardium ra",100,0.07,0.07,0.00149999999999999,0.0706249468151482,0.0952858250331105,0.00149733160718627,0.45,0.45,0.45,0.45,0.45,0.45,0.0189664010793653,0.232113078306708,4.10318998599182e-05,299,299,299 +"1695","PvH_KB_NKI_IVIMfit","myocardium ra",200,0.07,0.07,0.00149999999999999,0.0704117897329918,0.0782860101683689,0.00149840262255921,0.45,0.45,0.45,0.45,0.45,0.45,0.00949705354554413,0.104550226230098,2.05224482190402e-05,299,299,299 +"1696","PvH_KB_NKI_IVIMfit","myocardium RV",10,0.15,0.08,0.0024,0.192025856189917,-0.0116385614260143,0.00259907377107704,0.45,0.45,0.45,0.45,0.45,0.45,0.179951896755359,0.653285559753479,0.000985415011828634,299,299,299 +"1697","PvH_KB_NKI_IVIMfit","myocardium RV",30,0.15,0.08,0.0024,0.147972386415508,0.0861165427607028,0.0024674944945235,0.45,0.45,0.45,0.45,0.45,0.45,0.0975517459309261,0.440738077963084,0.000442366071987323,299,299,299 +"1698","PvH_KB_NKI_IVIMfit","myocardium RV",50,0.15,0.08,0.0024,0.14844758544319,0.117368159099586,0.00240902650835479,0.45,0.45,0.45,0.45,0.45,0.45,0.0677149969447882,0.347462871948298,0.000216738591253995,299,299,299 +"1699","PvH_KB_NKI_IVIMfit","myocardium RV",100,0.15,0.08,0.0024,0.150826921782195,0.0925669085492539,0.00239596194867005,0.45,0.45,0.45,0.45,0.45,0.45,0.0350209589736281,0.111206592869965,0.000102587631606259,299,299,299 +"1700","PvH_KB_NKI_IVIMfit","myocardium RV",200,0.15,0.08,0.0024,0.151062767866115,0.0836181213359814,0.0023960480342215,0.45,0.45,0.45,0.45,0.45,0.45,0.0173407897911808,0.0492417148911839,5.08898087046965e-05,299,299,299 +"1701","PvH_KB_NKI_IVIMfit","pancreas",10,0.15,0.00999999999999999,0.00129999999999999,0.136937978548182,0.00740651793198559,0.0014215214212872,0.45,0.45,0.45,0.45,0.45,0.45,0.127266105496299,0.732213635772409,0.000486503747187268,299,299,299 +"1702","PvH_KB_NKI_IVIMfit","pancreas",30,0.15,0.00999999999999999,0.00129999999999999,0.121887930651615,0.0763137640180302,0.00133959929142515,0.45,0.45,0.45,0.45,0.45,0.45,0.0568364469705239,0.636807478517959,0.000126780491704173,299,299,299 +"1703","PvH_KB_NKI_IVIMfit","pancreas",50,0.15,0.00999999999999999,0.00129999999999999,0.122753935187266,0.0341776204631552,0.00133777754178323,0.45,0.45,0.45,0.45,0.45,0.45,0.0342667143936854,0.25609885196659,7.54325143220183e-05,299,299,299 +"1704","PvH_KB_NKI_IVIMfit","pancreas",100,0.15,0.00999999999999999,0.00129999999999999,0.122866903165779,0.0198817713875208,0.00133844951393785,0.45,0.45,0.45,0.45,0.45,0.45,0.0171420721199015,0.115209943762463,3.76500896537364e-05,299,299,299 +"1705","PvH_KB_NKI_IVIMfit","pancreas",200,0.15,0.00999999999999999,0.00129999999999999,0.122698908969177,0.0153586053551514,0.00133941675752602,0.45,0.45,0.45,0.45,0.45,0.45,0.00858477069866619,0.0566470440677396,1.8833704996794e-05,299,299,299 +"1706","PvH_KB_NKI_IVIMfit","pericardium",10,0.07,0.01,0.003,0.200345432832572,0.0186626001573527,0.00287291963623568,0.45,0.45,0.45,0.45,0.45,0.45,0.191226965934387,0.511499382712567,0.000944685697624607,299,299,299 +"1707","PvH_KB_NKI_IVIMfit","pericardium",30,0.07,0.01,0.003,0.0875410442211973,0.0439264206482484,0.00319637616853394,0.45,0.45,0.45,0.45,0.45,0.45,0.0985206186954527,0.520788624543126,0.000739212332980353,299,299,299 +"1708","PvH_KB_NKI_IVIMfit","pericardium",50,0.07,0.01,0.003,0.0713588507505067,0.0343763501514683,0.0030838364312501,0.45,0.45,0.45,0.45,0.45,0.45,0.0723755425130892,0.468187571504608,0.000430508407815944,299,299,299 +"1709","PvH_KB_NKI_IVIMfit","pericardium",100,0.07,0.01,0.003,0.0593432428582621,0.0319897344925334,0.00302450453014257,0.45,0.45,0.45,0.45,0.45,0.45,0.0457502568825803,0.346527742871083,0.000170492747418252,299,299,299 +"1710","PvH_KB_NKI_IVIMfit","pericardium",200,0.07,0.01,0.003,0.0541407860947715,0.0270422083825489,0.00301893623987703,0.45,0.45,0.45,0.45,0.45,0.45,0.0277552901447244,0.292432776404698,8.24583932743333e-05,299,299,299 +"1711","PvH_KB_NKI_IVIMfit","right kidney medulla",10,0.158,0.019,0.00209,0.172769410759528,-0.0129025903180061,0.00231850649703214,0.45,0.45,0.45,0.45,0.45,0.45,0.167588199078237,0.881872268074511,0.000848804581955418,299,299,299 +"1712","PvH_KB_NKI_IVIMfit","right kidney medulla",30,0.158,0.019,0.00209,0.149260396785261,0.0838122057649798,0.00212653844272449,0.45,0.45,0.45,0.45,0.45,0.45,0.0846050158116964,0.756780752576388,0.000292908118231183,299,299,299 +"1713","PvH_KB_NKI_IVIMfit","right kidney medulla",50,0.158,0.019,0.00209,0.150537693871634,0.0320429234340867,0.00210117866439973,0.45,0.45,0.45,0.45,0.45,0.45,0.0558407026206822,0.238929110798656,0.00015795927517406,299,299,299 +"1714","PvH_KB_NKI_IVIMfit","right kidney medulla",100,0.158,0.019,0.00209,0.152330432578386,0.0263377429259093,0.00209634314665668,0.45,0.45,0.45,0.45,0.45,0.45,0.0275597380910475,0.0953262700118966,7.72066050910961e-05,299,299,299 +"1715","PvH_KB_NKI_IVIMfit","right kidney medulla",200,0.158,0.019,0.00209,0.152214803867475,0.0226013390728155,0.00209731568778259,0.45,0.45,0.45,0.45,0.45,0.45,0.0137429741491781,0.0460334488348233,3.84859139679403e-05,299,299,299 +"1716","PvH_KB_NKI_IVIMfit","Right kydney cortex",10,0.097,0.02,0.00212,0.137208356725514,0.0328556971324846,0.00234326664289797,0.45,0.45,0.45,0.45,0.45,0.45,0.15082347496435,0.709808610584414,0.000864240976087832,299,299,299 +"1717","PvH_KB_NKI_IVIMfit","Right kydney cortex",30,0.097,0.02,0.00212,0.0992412318439564,0.0541673413725415,0.00214700894107657,0.45,0.45,0.45,0.45,0.45,0.45,0.0755136199052382,0.714891073500594,0.000274973775845307,299,299,299 +"1718","PvH_KB_NKI_IVIMfit","Right kydney cortex",50,0.097,0.02,0.00212,0.0949976583740269,0.0352799627988735,0.00212503830893963,0.45,0.45,0.45,0.45,0.45,0.45,0.05273380889146,0.514843545827012,0.000151034004693661,299,299,299 +"1719","PvH_KB_NKI_IVIMfit","Right kydney cortex",100,0.097,0.02,0.00212,0.0945738449819955,0.0377584763249772,0.00212098430091707,0.45,0.45,0.45,0.45,0.45,0.45,0.0282686751362,0.195276335283525,7.39915972157195e-05,299,299,299 +"1720","PvH_KB_NKI_IVIMfit","Right kydney cortex",200,0.097,0.02,0.00212,0.09440985913665,0.0257008245150506,0.00212206065941023,0.45,0.45,0.45,0.45,0.45,0.45,0.0141025883395057,0.0756451362928356,3.68974365660527e-05,299,299,299 +"1721","PvH_KB_NKI_IVIMfit","small intestine",10,0.69,0.029,0.00130999999999999,0.680218362444095,0.0500663182494929,0.00145020569396961,0.45,0.45,0.45,0.45,0.45,0.45,0.183201411475679,0.238940197069379,0.00107227605518525,299,299,299 +"1722","PvH_KB_NKI_IVIMfit","small intestine",30,0.69,0.029,0.00130999999999999,0.676680511546324,0.03411776348862,0.00139504564681615,0.45,0.45,0.45,0.45,0.45,0.45,0.0659651209936008,0.0695342477735909,0.000430833853766582,299,299,299 +"1723","PvH_KB_NKI_IVIMfit","small intestine",50,0.69,0.029,0.00130999999999999,0.683651184865244,0.0318790831019141,0.00134158593671561,0.45,0.45,0.45,0.45,0.45,0.45,0.031483838344407,0.0409943521607107,0.000218127540832124,299,299,299 +"1724","PvH_KB_NKI_IVIMfit","small intestine",100,0.69,0.029,0.00130999999999999,0.685021723698742,0.030464931163596,0.00132963191638665,0.45,0.45,0.45,0.45,0.45,0.45,0.0151528426021628,0.0204282695180872,0.00010491631501074,299,299,299 +"1725","PvH_KB_NKI_IVIMfit","small intestine",200,0.69,0.029,0.00130999999999999,0.685125407692503,0.0298136345250442,0.00132919801634713,0.45,0.45,0.45,0.45,0.45,0.45,0.00755023567893948,0.0102124659620522,5.2174106371215e-05,299,299,299 +"1726","PvH_KB_NKI_IVIMfit","spinal cord",10,0.178,0.0289,0.00040999999999999,0.17618098398505,0.0579641002789538,0.000412610457445449,0.45,0.45,0.45,0.45,0.45,0.45,0.109415413792388,0.941948197873697,0.000198597337684834,299,299,299 +"1727","PvH_KB_NKI_IVIMfit","spinal cord",30,0.178,0.0289,0.00040999999999999,0.176300869400109,0.0565541159094164,0.000409915722892209,0.45,0.45,0.45,0.45,0.45,0.45,0.0394036509997742,0.287967096480472,6.55014062398901e-05,299,299,299 +"1728","PvH_KB_NKI_IVIMfit","spinal cord",50,0.178,0.0289,0.00040999999999999,0.17668051618248,0.0420612255717345,0.000410502845306815,0.45,0.45,0.45,0.45,0.45,0.45,0.0236748757320731,0.16250889666645,3.92916282507229e-05,299,299,299 +"1729","PvH_KB_NKI_IVIMfit","spinal cord",100,0.178,0.0289,0.00040999999999999,0.176818769588381,0.03461559734121,0.000411131620652075,0.45,0.45,0.45,0.45,0.45,0.45,0.0118603246337675,0.0795637315843737,1.96576716704574e-05,299,299,299 +"1730","PvH_KB_NKI_IVIMfit","spinal cord",200,0.178,0.0289,0.00040999999999999,0.176840912454401,0.0316409494784902,0.000411506121704275,0.45,0.45,0.45,0.45,0.45,0.45,0.00593760227459532,0.0396065099393168,9.83424720422128e-06,299,299,299 +"1731","PvH_KB_NKI_IVIMfit","spleen",10,0.2,0.03,0.00129999999999999,0.19599662156176,0.0613021299109845,0.00140454927731428,0.45,0.45,0.45,0.45,0.45,0.45,0.142733288723022,0.865447287904048,0.000582749143091828,299,299,299 +"1732","PvH_KB_NKI_IVIMfit","spleen",30,0.2,0.03,0.00129999999999999,0.197871845000451,0.0577937712781124,0.00130150037459746,0.45,0.45,0.45,0.45,0.45,0.45,0.055408133031037,0.277217446552304,0.00013547179107877,299,299,299 +"1733","PvH_KB_NKI_IVIMfit","spleen",50,0.2,0.03,0.00129999999999999,0.199033284978018,0.0416870355859719,0.00129916879604953,0.45,0.45,0.45,0.45,0.45,0.45,0.0330237742731732,0.145965289641754,8.0485438606961e-05,299,299,299 +"1734","PvH_KB_NKI_IVIMfit","spleen",100,0.2,0.03,0.00129999999999999,0.19917657455647,0.0350155098095822,0.00129971733953303,0.45,0.45,0.45,0.45,0.45,0.45,0.0165151433454204,0.0707993903611688,4.01541066264376e-05,299,299,299 +"1735","PvH_KB_NKI_IVIMfit","spleen",200,0.2,0.03,0.00129999999999999,0.199026311814169,0.0324096874623236,0.00130069837749038,0.45,0.45,0.45,0.45,0.45,0.45,0.00827092761229601,0.0352168114201335,2.00852625417637e-05,299,299,299 +"1736","PvH_KB_NKI_IVIMfit","st wall",10,0.3,0.012,0.0015,0.248638297229233,0.0364116954245238,0.00172921114226417,0.45,0.45,0.45,0.45,0.45,0.45,0.166347389770017,0.707332243192259,0.000685672723936133,299,299,299 +"1737","PvH_KB_NKI_IVIMfit","st wall",30,0.3,0.012,0.0015,0.258772026363496,0.0293822581865608,0.00157517600100472,0.45,0.45,0.45,0.45,0.45,0.45,0.0644388435309329,0.202407559113073,0.000186844089466446,299,299,299 +"1738","PvH_KB_NKI_IVIMfit","st wall",50,0.3,0.012,0.0015,0.261282486348394,0.0209857397911501,0.00156758941794651,0.45,0.45,0.45,0.45,0.45,0.45,0.0377177202881088,0.108793385587951,0.000109279996332855,299,299,299 +"1739","PvH_KB_NKI_IVIMfit","st wall",100,0.3,0.012,0.0015,0.261756786309685,0.0167953481082958,0.00156685824436581,0.45,0.45,0.45,0.45,0.45,0.45,0.0187674242305056,0.0531745626261237,5.42621275679737e-05,299,299,299 +"1740","PvH_KB_NKI_IVIMfit","st wall",200,0.3,0.012,0.0015,0.261595673443184,0.0150031541093378,0.00156794185426091,0.45,0.45,0.45,0.45,0.45,0.45,0.00939312930329242,0.0264999219499804,2.7122099454982e-05,299,299,299 +"1741","PvH_KB_NKI_IVIMfit","Stomach Contents",10,0,0,0.003,0.157594214584835,0.0252804214326862,0.00293093581837056,0.45,0.45,0.45,0.45,0.45,0.45,0.176185562785597,0.710827465918581,0.000964664353368856,299,299,299 +"1742","PvH_KB_NKI_IVIMfit","Stomach Contents",30,0,0,0.003,0.0583098290853395,0.0340892533060213,0.00312961069470999,0.45,0.45,0.45,0.45,0.45,0.45,0.0811840922152972,0.498321078852512,0.000614494127036742,299,299,299 +"1743","PvH_KB_NKI_IVIMfit","Stomach Contents",50,0,0,0.003,0.0396872532003154,-0.00163285114533198,0.00304746792228148,0.45,0.45,0.45,0.45,0.45,0.45,0.0555413856963978,0.746796075565821,0.000389418065924104,299,299,299 +"1744","PvH_KB_NKI_IVIMfit","Stomach Contents",100,0,0,0.003,0.0224793889955066,0.0298999184316714,0.00299879992559726,0.45,0.45,0.45,0.45,0.45,0.45,0.0313416132582839,0.497459451692376,0.00015749037698128,299,299,299 +"1745","PvH_KB_NKI_IVIMfit","Stomach Contents",200,0,0,0.003,0.0120502465126405,0.0280592104422038,0.00299477183305966,0.45,0.45,0.45,0.45,0.45,0.45,0.0168946442517142,0.508925178685301,7.66328420899912e-05,299,299,299 +"1746","PvH_KB_NKI_IVIMfit","trans lower intestine",10,0.69,0.029,0.00130999999999999,0.680218362444095,0.0500663182494929,0.00145020569396961,0.45,0.45,0.45,0.45,0.45,0.45,0.183201411475679,0.238940197069379,0.00107227605518525,299,299,299 +"1747","PvH_KB_NKI_IVIMfit","trans lower intestine",30,0.69,0.029,0.00130999999999999,0.676680511546324,0.03411776348862,0.00139504564681615,0.45,0.45,0.45,0.45,0.45,0.45,0.0659651209936008,0.0695342477735909,0.000430833853766582,299,299,299 +"1748","PvH_KB_NKI_IVIMfit","trans lower intestine",50,0.69,0.029,0.00130999999999999,0.683651184865244,0.0318790831019141,0.00134158593671561,0.45,0.45,0.45,0.45,0.45,0.45,0.031483838344407,0.0409943521607107,0.000218127540832124,299,299,299 +"1749","PvH_KB_NKI_IVIMfit","trans lower intestine",100,0.69,0.029,0.00130999999999999,0.685021723698742,0.030464931163596,0.00132963191638665,0.45,0.45,0.45,0.45,0.45,0.45,0.0151528426021628,0.0204282695180872,0.00010491631501074,299,299,299 +"1750","PvH_KB_NKI_IVIMfit","trans lower intestine",200,0.69,0.029,0.00130999999999999,0.685125407692503,0.0298136345250442,0.00132919801634713,0.45,0.45,0.45,0.45,0.45,0.45,0.00755023567893948,0.0102124659620522,5.2174106371215e-05,299,299,299 +"1751","PvH_KB_NKI_IVIMfit","Vein",10,1,0.1,0.003,0.925854765740672,0.122594446175348,0.000574991619531873,0.45,0.45,0.45,0.45,0.45,0.45,0.0581968702826341,0.16338266599376,0.000860131480490684,299,299,299 +"1752","PvH_KB_NKI_IVIMfit","Vein",30,1,0.1,0.003,0.975434046263813,0.106084352342321,0.000574989635117283,0.45,0.45,0.45,0.45,0.45,0.45,0.0193986641365219,0.0502272821523288,0.000860129451432506,299,299,299 +"1753","PvH_KB_NKI_IVIMfit","Vein",50,1,0.1,0.003,0.985264177302766,0.1035116627474,0.000574987648133532,0.45,0.45,0.45,0.45,0.45,0.45,0.0116639576048978,0.0297635282059204,0.000860127422073134,299,299,299 +"1754","PvH_KB_NKI_IVIMfit","Vein",100,1,0.1,0.003,0.992631985415158,0.101706371823852,0.000574982669398246,0.45,0.45,0.45,0.45,0.45,0.45,0.00584397242277973,0.0147530238753376,0.000860122347364691,299,299,299 +"1755","PvH_KB_NKI_IVIMfit","Vein",200,1,0.1,0.003,0.996315722324709,0.10084120596656,0.000574972663309995,0.45,0.45,0.45,0.45,0.45,0.45,0.00292541862788362,0.00734598250269145,0.000860112192396902,299,299,299 diff --git a/tests/IVIMmodels/unit_tests/test_ivim_fit.py b/tests/IVIMmodels/unit_tests/test_ivim_fit.py index 41a08af..431f1db 100644 --- a/tests/IVIMmodels/unit_tests/test_ivim_fit.py +++ b/tests/IVIMmodels/unit_tests/test_ivim_fit.py @@ -3,115 +3,11 @@ import pytest import json import pathlib -import os from src.wrappers.OsipiBase import OsipiBase from utilities.data_simulation.GenerateData import GenerateData - #run using python -m pytest from the root folder - -# @pytest.fixture -# def algorithm_fixture() -# def test_fixtures() - -# use a fixture to generate data -# either read a config file for the test or perhaps hard code a few fixtures and usefixtures in the config? -# use a fixture to save data - -# def algorithm_list(): -# # Find the algorithms from algorithms.json -# file = pathlib.Path(__file__) -# algorithm_path = file.with_name('algorithms.json') -# with algorithm_path.open() as f: -# algorithm_information = json.load(f) -# return algorithm_information["algorithms"] - -# @pytest.fixture(params=algorithm_list()) -# def algorithm_fixture(request): -# # assert request.param == "algorithms" -# yield request.param - - - -# @pytest.fixture(params=SNR) -# def noise_fixture(request): -# return request.config.getoption("--noise") - -# @pytest.fixture -# def noise_fixture(request): -# yield request.param - -# @pytest.mark.parametrize("S", [SNR]) -# @pytest.mark.parametrize("D, Dp, f, bvals", [[0.0015, 0.1, 0.11000000000000007,[0, 5, 10, 50, 100, 200, 300, 500, 1000]]]) -# def test_generated(ivim_algorithm, ivim_data, SNR): -# S0 = 1 -# gd = GenerateData() -# name, bvals, data = ivim_data -# D = data["D"] -# f = data["f"] -# Dp = data["Dp"] -# if "data" not in data: -# signal = gd.ivim_signal(D, Dp, f, S0, bvals, SNR) -# else: -# signal = data["data"] -# fit = OsipiBase(algorithm=ivim_algorithm) -# [f_fit, Dp_fit, D_fit] = fit.osipi_fit(signal, bvals) -# npt.assert_allclose([f, D, Dp], [f_fit, D_fit, Dp_fit]) - - - -# test_linear_data = [ -# pytest.param(0, np.linspace(0, 1000, 11), id='0'), -# pytest.param(0.01, np.linspace(0, 1000, 11), id='0.1'), -# pytest.param(0.02, np.linspace(0, 1000, 11), id='0.2'), -# pytest.param(0.03, np.linspace(0, 1000, 11), id='0.3'), -# pytest.param(0.04, np.linspace(0, 1000, 11), id='0.4'), -# pytest.param(0.05, np.linspace(0, 1000, 11), id='0.5'), -# pytest.param(0.08, np.linspace(0, 1000, 11), id='0.8'), -# pytest.param(0.1, np.linspace(0, 1000, 11), id='1'), -# ] - -#@pytest.mark.parametrize("D, bvals", test_linear_data) -#def test_linear_fit(D, bvals): - #gd = GenerateData() - #gd_signal = gd.exponential_signal(D, bvals) - #print(gd_signal) - #fit = LinearFit() - #D_fit = fit.linear_fit(bvals, np.log(gd_signal)) - #npt.assert_allclose([1, D], D_fit) - -# test_ivim_data = [ -# pytest.param(0, 0.01, 0.05, np.linspace(0, 1000, 11), id='0'), -# pytest.param(0.1, 0.01, 0.05, np.linspace(0, 1000, 11), id='0.1'), -# pytest.param(0.2, 0.01, 0.05, np.linspace(0, 1000, 11), id='0.2'), -# pytest.param(0.1, 0.05, 0.1, np.linspace(0, 1000, 11), id='0.3'), -# pytest.param(0.4, 0.001, 0.05, np.linspace(0, 1000, 11), id='0.4'), -# pytest.param(0.5, 0.001, 0.05, np.linspace(0, 1000, 11), id='0.5'), -# ] - -#@pytest.mark.parametrize("f, D, Dp, bvals", test_ivim_data) -#def test_ivim_fit(f, D, Dp, bvals): - ## We should make a wrapper that runs this for a range of different settings, such as b thresholds, bounds, etc. - ## An additional inputs to these functions could perhaps be a "settings" class with attributes that are the settings to the - ## algorithms. I.e. bvalues, thresholds, bounds, initial guesses. - ## That way, we can write something that defines a range of settings, and then just run them through here. - - #gd = GenerateData() - #gd_signal = gd.ivim_signal(D, Dp, f, 1, bvals) - - ##fit = LinearFit() # This is the old code by ETP - #fit = ETP_SRI_LinearFitting() # This is the standardized format by IAR, which every algorithm will be implemented with - - #[f_fit, Dp_fit, D_fit] = fit.ivim_fit(gd_signal, bvals) # Note that I have transposed Dp and D. We should decide on a standard order for these. I usually go with f, Dp, and D ordered after size. - #npt.assert_allclose([f, D], [f_fit, D_fit], atol=1e-5) - #if not np.allclose(f, 0): - #npt.assert_allclose(Dp, Dp_fit, rtol=1e-2, atol=1e-3) - - -# convert the algorithm list and signal list to fixtures that read from the files into params (scope="session") -# from that helpers can again parse the files? - def signal_helper(signal): signal = np.asarray(signal) signal = np.abs(signal) @@ -160,15 +56,36 @@ def data_ivim_fit_saved(): @pytest.mark.parametrize("name, bvals, data, algorithm, xfail, kwargs, tolerances", data_ivim_fit_saved()) -def test_ivim_fit_saved(name, bvals, data, algorithm, xfail, kwargs, tolerances, request): +def test_ivim_fit_saved(name, bvals, data, algorithm, xfail, kwargs, tolerances, request, record_property): if xfail["xfail"]: mark = pytest.mark.xfail(reason="xfail", strict=xfail["strict"]) request.node.add_marker(mark) fit = OsipiBase(algorithm=algorithm, **kwargs) signal, ratio = signal_helper(data["data"]) + tolerances = tolerances_helper(tolerances, ratio, data["noise"]) [f_fit, Dp_fit, D_fit] = fit.osipi_fit(signal, bvals) + def to_list_if_needed(value): + return value.tolist() if isinstance(value, np.ndarray) else value + test_result = { + "name": name, + "algorithm": algorithm, + "f_fit": to_list_if_needed(f_fit), + "Dp_fit": to_list_if_needed(Dp_fit), + "D_fit": to_list_if_needed(D_fit), + "f": to_list_if_needed(data['f']), + "Dp": to_list_if_needed(data['Dp']), + "D": to_list_if_needed(data['D']), + "rtol": tolerances["rtol"], + "atol": tolerances["atol"] + } + + + record_property('test_data', test_result) + npt.assert_allclose(data['f'], f_fit, rtol=tolerances["rtol"]["f"], atol=tolerances["atol"]["f"]) - npt.assert_allclose(data['D'], D_fit, rtol=tolerances["rtol"]["D"], atol=tolerances["atol"]["D"]) - npt.assert_allclose(data['Dp'], Dp_fit, rtol=tolerances["rtol"]["Dp"], atol=tolerances["atol"]["Dp"]) + if data['f']<0.80: # we need some signal for D to be detected + npt.assert_allclose(data['D'], D_fit, rtol=tolerances["rtol"]["D"], atol=tolerances["atol"]["D"]) + if data['f']>0.03: #we need some f for D* to be interpretable + npt.assert_allclose(data['Dp'], Dp_fit, rtol=tolerances["rtol"]["Dp"], atol=tolerances["atol"]["Dp"]) diff --git a/utilities/data_simulation/Download_data.py b/utilities/data_simulation/Download_data.py index d03d8eb..c28886b 100644 --- a/utilities/data_simulation/Download_data.py +++ b/utilities/data_simulation/Download_data.py @@ -2,7 +2,7 @@ import os import subprocess import time - +import zenodo_get def unzip_file(zip_file_path, extracted_folder_path): # Open the zip file diff --git a/utilities/reduce_output_size.py b/utilities/reduce_output_size.py new file mode 100644 index 0000000..cbd9eb8 --- /dev/null +++ b/utilities/reduce_output_size.py @@ -0,0 +1,43 @@ +import os +import gzip +import csv +import sys + +def reduce_output_file_size(input_file:str, output_file:str): + """ + Simplify the data generated by the analysis pipeline by retaining only the essential information required for the frontend. + """ + if os.path.exists(input_file): + # Open the input and output files + with open(input_file, 'r') as infile, gzip.open(output_file, 'wt', newline='') as outfile: + reader = csv.DictReader(infile) + + # Drop b_values columns + fieldnames = [field for field in reader.fieldnames if not field.startswith('bval_')] + writer = csv.DictWriter(outfile, fieldnames=fieldnames) + writer.writeheader() + + columns_to_round = ['f', 'Dp', 'D', 'f_fitted', 'Dp_fitted', 'D_fitted'] + + for row in reader: + #Delete columns starting with 'bval_' + for key in list(row.keys()): + if key.startswith('bval_'): + del row[key] + + # Round values in the remaining relevant columns + for column in columns_to_round: + if column in row: + row[column] = round(float(row[column]), 4) + writer.writerow(row) + else: + print(f"File '{input_file}' not found.") + +if __name__ == '__main__': + if len(sys.argv) != 3: + print("Usage: python reduce_output_size.py ") + sys.exit(1) + + input_file = sys.argv[1] + output_file = sys.argv[2] + reduce_output_file_size(input_file, output_file) diff --git a/utilities/report-summary.py b/utilities/report-summary.py new file mode 100644 index 0000000..83dacdd --- /dev/null +++ b/utilities/report-summary.py @@ -0,0 +1,26 @@ +import pathlib +import json +import sys + +def summarize_test_report(input_file:str, output_file:str): + file = pathlib.Path(__file__) + report_path = file.with_name(input_file) + with report_path.open() as f: + report_info = json.load(f) + summary = [] + for test_case in report_info['tests']: + values = test_case['user_properties'][0]['test_data'] + values['status'] = test_case['outcome'] + summary.append(values) + + with open(output_file, 'w') as f: + json.dump(summary, f, indent=4) + +if __name__ == '__main__': + if len(sys.argv) != 3: + print("Usage: python report-summary.py ") + sys.exit(1) + + input_file = sys.argv[1] + output_file = sys.argv[2] + summarize_test_report(input_file, output_file) diff --git a/website/dashboard/index.html b/website/dashboard/index.html index eefdcaa..262e5a5 100644 --- a/website/dashboard/index.html +++ b/website/dashboard/index.html @@ -8,7 +8,9 @@ + + @@ -96,6 +98,12 @@

IVIM MRI Algorithm Fitting Dashboard

+

Validation Data Plots

+
+
+
+
+
diff --git a/website/dashboard/index.js b/website/dashboard/index.js index f0166ae..5e07ab5 100644 --- a/website/dashboard/index.js +++ b/website/dashboard/index.js @@ -205,17 +205,31 @@ document.addEventListener('DOMContentLoaded', function() { showLoading(); - Papa.parse('test_output.csv', { - download: true, - header: true, - complete: results => { - data = results; - hideLoading(); - populateOptions(data); - drawBoxPlot(); - drawRegionBoxPlot(); - + fetch('test_output.csv.gz') + .then(response => { + if (!response.ok) { + throw new Error('Network response was not ok'); } + return response.arrayBuffer(); + }) + .then(buffer => { + // Use pako to decompress the data + var decompressed = pako.inflate(new Uint8Array(buffer), { to: 'string' }); + // Now use Papa Parse to parse the decompressed CSV data + Papa.parse(decompressed, { + header: true, + complete: results => { + console.log(results); + data = results; + hideLoading(); + populateOptions(data); + drawBoxPlot(); + drawRegionBoxPlot(); + } + }); + }) + .catch(error => { + console.error('There has been a problem with your fetch operation:', error); }); function populateOptions(data) { diff --git a/website/dashboard/test_plots.js b/website/dashboard/test_plots.js new file mode 100644 index 0000000..d88ff80 --- /dev/null +++ b/website/dashboard/test_plots.js @@ -0,0 +1,85 @@ +document.addEventListener('DOMContentLoaded', function() { + fetch('report-summary.json') + .then(response => response.json()) + .then(data => { + function createPlot(container, parameter) { + var reference_values = data.map(d => d[parameter]); + var fit_values = data.map(d => d[parameter + '_fit']); + var minRefValue = Math.min(...reference_values); + var maxRefValue = Math.max(...reference_values); + // Create a range for tolerance trace x axis. + var xRange = [minRefValue, maxRefValue]; + // var DefaultTolerance = { + // "rtol": { + // "f": 0.05, + // "D": 2, + // "Dp": 0.5 + // }, + // "atol": { + // "f": 0.2, + // "D": 0.001, + // "Dp": 0.06 + // } + // } + var DefaultTolerance = data[1] //Majority of the dataset has this tolerance values + var tolerance = xRange.map((d) => DefaultTolerance['atol'][parameter] + DefaultTolerance['rtol'][parameter] * d); + var negative_tolerance = tolerance.map(t => -t); + + var errors = fit_values.map((d, i) => (d - reference_values[i])); + + // Define colors for each status + var statusColors = { + 'passed': 'green', + 'xfailed': 'blue', + 'failed': 'red' + }; + + // Assign color based on the status + var marker_colors = data.map(entry => statusColors[entry.status]); + + var scatter_trace = { + x: reference_values, + y: errors, + mode: 'markers', + type: 'scatter', + name: `${parameter} fitting values`, + text: data.map(entry => `Algorithm: ${entry.algorithm} Region: ${entry.name}`), + marker: { + color: marker_colors + } + }; + + var tolerance_trace = { + x: xRange, + y: tolerance, + type: 'scatter', + mode: 'lines', + line: { dash: 'dash', color: 'black' }, + name: 'Positive Tolerance' + }; + + var negative_tolerance_trace = { + x: xRange, + y: negative_tolerance, + type: 'scatter', + mode: 'lines', + line: { dash: 'dash', color: 'black' }, + name: 'Negative Tolerance' + }; + + var layout = { + title: `Error Plot for ${parameter.toUpperCase()}_fit with Tolerance Bands`, + xaxis: { title: `Reference ${parameter.toUpperCase()} Values` }, + yaxis: { title: `Error (${parameter}_fit - Reference ${parameter})` } + }; + + var plot_data = [scatter_trace, tolerance_trace, negative_tolerance_trace]; + + Plotly.newPlot(container, plot_data, layout); + } + + createPlot('plot_f_fit', 'f'); + createPlot('plot_Dp_fit', 'Dp'); + createPlot('plot_D_fit', 'D'); + }); +});