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maxpietsch authored Oct 3, 2021
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# dStripe
![](graphical_abstract.png)

# dStripe: slice artefact correction in diffusion MRI

This repository contains code and model weights for the method described in the paper
"**dStripe: slice artefact correction in diffusion MRI via constrained neural network**" by
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# Usage for anatomical-space inference

For ease of use, we recommend using Docker as outlined below. dStripe supports CPU-only and single and multi-GPU usage. In the below examples, input and output data are located in `~/data` and mapped to `/data` inside the Docker container. This can be adjusted by modifying the command line option `--volume ~/data/:/data`.
For ease of use, we recommend using Docker as outlined below. dStripe supports CPU-only and single and multi-GPU usage. In the usage examples, input and output data are located in `~/data` and mapped to `/data` inside the Docker container. This can be adjusted by modifying the command line option `--volume ~/data/:/data`.

```bash
IMAGE_NAME=dstripe
IMAGE_TAG=0.1
```

## build docker image (make sure you have sufficient RAM )
## build docker image

```bash
[ -z "$UID" ] && UID=$(id -u)
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.
```

You might need to increase Docker's runtime memory ([macOS](https://docs.docker.com/docker-for-mac/#memory), [windows](https://docs.docker.com/docker-for-windows/#advanced)).
Make sure you have sufficient RAM! You might need to increase Docker's runtime memory ([macOS](https://docs.docker.com/docker-for-mac/#memory), [windows](https://docs.docker.com/docker-for-windows/#advanced)).

## show dwidestripe usage

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