Typing for mod and prep

brainles_preprocessing/modality.py

@@ -1,11 +1,11 @@
-# todo add typing and docs
 import os
 import shutil
 
 from auxiliary.nifti.io import read_nifti, write_nifti
 from auxiliary.normalization.normalizer_base import Normalizer
 from auxiliary.turbopath import turbopath
 
+from brainles_preprocessing.brain_extraction.brain_extractor import BrainExtractor
 from brainles_preprocessing.registration.registrator import Registrator
 
 
@@ -34,6 +34,7 @@ class Modality:
         ...     output_path="/path/to/preprocessed_t1.nii",
         ...     bet=True
         ... )
+
     """
 
     def __init__(
@@ -53,10 +54,19 @@ def __init__(
 
     def normalize(
         self,
-        temporary_directory,
-        store_unnormalized=None,
-    ):
-        # TODO we need docstrings
+        temporary_directory: str,
+        store_unnormalized: str | None = None,
+    ) -> None:
+        """
+        Normalize the image using the specified normalizer.
+
+        Args:
+            temporary_directory (str): Path to the temporary directory.
+            store_unnormalized (str, optional): Path to store unnormalized images.
+
+        Returns:
+            None
+        """
         # Backup the unnormalized file
         if store_unnormalized is not None:
             os.makedirs(store_unnormalized, exist_ok=True)
@@ -85,11 +95,23 @@ def normalize(
 
     def register(
         self,
-        registrator,
+        registrator: Registrator,
         fixed_image_path: str,
         registration_dir: str,
         moving_image_name: str,
-    ):
+    ) -> str:
+        """
+        Register the current modality to a fixed image using the specified registrator.
+
+        Args:
+            registrator (Registrator): The registrator object.
+            fixed_image_path (str): Path to the fixed image.
+            registration_dir (str): Directory to store registration results.
+            moving_image_name (str): Name of the moving image.
+
+        Returns:
+            str: Path to the registration matrix.
+        """
         registered = os.path.join(registration_dir, f"{moving_image_name}.nii.gz")
         registered_matrix = os.path.join(registration_dir, f"{moving_image_name}.txt")
         registered_log = os.path.join(registration_dir, f"{moving_image_name}.log")
@@ -106,58 +128,96 @@ def register(
 
     def apply_mask(
         self,
-        brain_extractor,
-        brain_masked_dir,
-        atlas_mask,
-    ):
+        brain_extractor: BrainExtractor,
+        brain_masked_dir_path: str,
+        atlas_mask_path: str,
+    ) -> None:
+        """
+        Apply a brain mask to the current modality using the specified brain extractor.
+
+        Args:
+            brain_extractor (BrainExtractor): The brain extractor object.
+            brain_masked_dir_path (str): Directory to store masked images.
+            atlas_mask_path (str): Path to the brain mask.
+
+        Returns:
+            None
+        """
         if self.bet:
             brain_masked = os.path.join(
-                brain_masked_dir,
+                brain_masked_dir_path,
                 f"brain_masked__{self.modality_name}.nii.gz",
             )
             brain_extractor.apply_mask(
                 input_image_path=self.current,
-                mask_image_path=atlas_mask,
+                mask_image_path=atlas_mask_path,
                 masked_image_path=brain_masked,
             )
             self.current = brain_masked
 
     def transform(
         self,
         registrator: Registrator,
-        fixed_image_path,
-        registration_dir,
-        moving_image_name,
-        transformation_matrix,
-    ):
-        transformed = os.path.join(registration_dir, f"{moving_image_name}.nii.gz")
-        transformed_log = os.path.join(registration_dir, f"{moving_image_name}.log")
+        fixed_image_path: str,
+        registration_dir_path: str,
+        moving_image_name: str,
+        transformation_matrix_path: str,
+    ) -> None:
+        """
+        Transform the current modality using the specified registrator and transformation matrix.
+
+        Args:
+            registrator (Registrator): The registrator object.
+            fixed_image_path (str): Path to the fixed image.
+            registration_dir_path (str): Directory to store transformation results.
+            moving_image_name (str): Name of the moving image.
+            transformation_matrix_path (str): Path to the transformation matrix.
+
+        Returns:
+            None
+        """
+        transformed = os.path.join(registration_dir_path, f"{moving_image_name}.nii.gz")
+        transformed_log = os.path.join(
+            registration_dir_path, f"{moving_image_name}.log"
+        )
 
         registrator.transform(
             fixed_image_path=fixed_image_path,
             moving_image_path=self.current,
             transformed_image_path=transformed,
-            matrix_path=transformation_matrix,
+            matrix_path=transformation_matrix_path,
             log_file_path=transformed_log,
         )
         self.current = transformed
 
     def extract_brain_region(
         self,
-        brain_extractor,
-        bet_dir,
-    ):
-        bet_log = os.path.join(bet_dir, "brain-extraction.log")
-        atlas_bet_cm = os.path.join(bet_dir, f"atlas_bet_{self.modality_name}.nii.gz")
-        atlas_mask = os.path.join(
-            bet_dir, f"atlas_bet_{self.modality_name}_mask.nii.gz"
+        brain_extractor: BrainExtractor,
+        bet_dir_path: str,
+    ) -> str:
+        """
+        Extract the brain region using the specified brain extractor.
+
+        Args:
+            brain_extractor (BrainExtractor): The brain extractor object.
+            bet_dir_path (str): Directory to store brain extraction results.
+
+        Returns:
+            str: Path to the extracted brain mask.
+        """
+        bet_log = os.path.join(bet_dir_path, "brain-extraction.log")
+        atlas_bet_cm = os.path.join(
+            bet_dir_path, f"atlas_bet_{self.modality_name}.nii.gz"
+        )
+        atlas_mask_path = os.path.join(
+            bet_dir_path, f"atlas_bet_{self.modality_name}_mask.nii.gz"
         )
 
         brain_extractor.extract(
             input_image_path=self.current,
             masked_image_path=atlas_bet_cm,
-            brain_mask_path=atlas_mask,
+            brain_mask_path=atlas_mask_path,
             log_file_path=bet_log,
         )
         self.current = atlas_bet_cm
-        return atlas_mask
+        return atlas_mask_path

brainles_preprocessing/preprocessor.py

@@ -1,7 +1,7 @@
-# TODO add typing and documentation
 import os
 import shutil
 import tempfile
+from typing import List, Optional
 
 from auxiliary.turbopath import turbopath
 
@@ -11,27 +11,39 @@
 
 
 class Preprocessor:
+    """
+    Preprocesses medical image modalities using coregistration, normalization, brain extraction, and more.
+
+    Args:
+        center_modality (Modality): The central modality for coregistration.
+        moving_modalities (List[Modality]): List of modalities to be coregistered to the central modality.
+        registrator (Registrator): The registrator object for coregistration and registration to the atlas.
+        brain_extractor (BrainExtractor): The brain extractor object for brain extraction.
+        atlas_image_path (str, optional): Path to the atlas image for registration (default is the T1 atlas).
+        temp_folder (str, optional): Path to a temporary folder for storing intermediate results.
+
+    """
+
     def __init__(
         self,
         center_modality: Modality,
-        moving_modalities: list[Modality],
+        moving_modalities: List[Modality],
         registrator: Registrator,
         brain_extractor: BrainExtractor,
         atlas_image_path: str = turbopath(__file__).parent
         + "/registration/atlas/t1_brats_space.nii",
-        temp_folder=None,
+        temp_folder: Optional[str] = None,
     ):
         self.center_modality = center_modality
         self.moving_modalities = moving_modalities
         self.atlas_image_path = turbopath(atlas_image_path)
         self.registrator = registrator
         self.brain_extractor = brain_extractor
 
-        # create temporary storage
+        # Create temporary storage
         if temp_folder:
             os.makedirs(temp_folder, exist_ok=True)
             self.temp_folder = turbopath(temp_folder)
-        # custom temporary storage for debugging etc
         else:
             storage = tempfile.TemporaryDirectory()
             self.temp_folder = turbopath(storage.name)
@@ -43,11 +55,22 @@ def run(
         self,
         brain_extraction: bool,
         normalization: bool,
-        save_dir_coregistration: str = None,
-        save_dir_atlas_registration: str = None,
-        save_dir_brain_extraction: str = None,
-        save_dir_unnormalized: str = None,
+        save_dir_coregistration: Optional[str] = None,
+        save_dir_atlas_registration: Optional[str] = None,
+        save_dir_brain_extraction: Optional[str] = None,
+        save_dir_unnormalized: Optional[str] = None,
     ):
+        """
+        Run the preprocessing pipeline.
+
+        Args:
+            brain_extraction (bool): Whether to perform brain extraction.
+            normalization (bool): Whether to perform intensity normalization.
+            save_dir_coregistration (str, optional): Directory to save coregistration results.
+            save_dir_atlas_registration (str, optional): Directory to save atlas registration results.
+            save_dir_brain_extraction (str, optional): Directory to save brain extraction results.
+            save_dir_unnormalized (str, optional): Directory to save unnormalized images.
+        """
         # Coregister moving modalities to center modality
         coregistration_dir = os.path.join(self.temp_folder, "coregistration")
         os.makedirs(coregistration_dir, exist_ok=True)
@@ -80,9 +103,9 @@ def run(
             moving_modality.transform(
                 registrator=self.registrator,
                 fixed_image_path=self.atlas_image_path,
-                registration_dir=self.atlas_dir,
+                registration_dir_path=self.atlas_dir,
                 moving_image_name=file_name,
-                transformation_matrix=transformation_matrix,
+                transformation_matrix_path=transformation_matrix,
             )
         self._save_output(
             src=self.atlas_dir,
@@ -97,13 +120,13 @@ def run(
             os.makedirs(brain_masked_dir, exist_ok=True)
 
             atlas_mask = self.center_modality.extract_brain_region(
-                brain_extractor=self.brain_extractor, bet_dir=bet_dir
+                brain_extractor=self.brain_extractor, bet_dir_path=bet_dir
             )
             for moving_modality in self.moving_modalities:
                 moving_modality.apply_mask(
                     brain_extractor=self.brain_extractor,
-                    brain_masked_dir=brain_masked_dir,
-                    atlas_mask=atlas_mask,
+                    brain_masked_dir_path=brain_masked_dir,
+                    atlas_mask_path=atlas_mask,
                 )
 
             self._save_output(
@@ -132,8 +155,8 @@ def all_modalities(self):
 
     def _save_output(
         self,
-        src,
-        save_dir,
+        src: str,
+        save_dir: Optional[str],
     ):
         if save_dir:
             save_dir = turbopath(save_dir)
@@ -145,8 +168,8 @@ def _save_output(
 
     def _save_coregistration(
         self,
-        coregistration_dir,
-        save_dir_coregistration,
+        coregistration_dir: str,
+        save_dir_coregistration: Optional[str],
     ):
         if save_dir_coregistration:
             save_dir_coregistration = turbopath(save_dir_coregistration)
@@ -167,16 +190,30 @@ def _save_coregistration(
 
 
 class PreprocessorGPU(Preprocessor):
+    """
+    Preprocesses medical image modalities using GPU acceleration.
+
+    Args:
+        center_modality (Modality): The central modality for coregistration.
+        moving_modalities (List[Modality]): List of modalities to be coregistered to the central modality.
+        registrator (Registrator): The registrator object for coregistration and registration to the atlas.
+        brain_extractor (BrainExtractor): The brain extractor object for brain extraction.
+        atlas_image_path (str, optional): Path to the atlas image for registration (default is the T1 atlas).
+        temp_folder (str, optional): Path to a temporary folder for storing intermediate results.
+        limit_cuda_visible_devices (str, optional): Limit CUDA visible devices for GPU acceleration.
+
+    """
+
     def __init__(
         self,
         center_modality: Modality,
-        moving_modalities: list[Modality],
+        moving_modalities: List[Modality],
         registrator: Registrator,
         brain_extractor: BrainExtractor,
         atlas_image_path: str = turbopath(__file__).parent
         + "/registration/atlas/t1_brats_space.nii",
-        temp_folder=None,
-        limit_cuda_visible_devices: str = None,
+        temp_folder: Optional[str] = None,
+        limit_cuda_visible_devices: Optional[str] = None,
     ):
         super().__init__(
             center_modality,
@@ -192,8 +229,15 @@ def __init__(
 
     def set_cuda_devices(
         self,
-        limit_cuda_visible_devices: str = None,
+        limit_cuda_visible_devices: Optional[str] = None,
     ):
+        """
+        Set CUDA devices for GPU acceleration.
+
+        Args:
+            limit_cuda_visible_devices (str, optional): Limit CUDA visible devices for GPU acceleration.
+
+        """
         if limit_cuda_visible_devices:
             os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID"
             os.environ["CUDA_VISIBLE_DEVICES"] = limit_cuda_visible_devices