Bumps version to 1.0.15

delia/__init__.py

@@ -10,7 +10,7 @@
 logging.getLogger(__name__).addHandler(stream_handler)
 
 __author__ = "Maxence Larose"
-__version__ = "1.0.14"
+__version__ = "1.0.15"
 __copyright__ = "Copyright 2022, Maxence Larose"
 __credits__ = ["Maxence Larose"]
 __license__ = "Apache License 2.0"

delia/transforms/array_space/matching_centroid_spatial_crop.py

@@ -25,6 +25,10 @@ class MatchingCentroidSpatialCropd(ArraySpaceTransform):
     """
     Performs crop around the centroid of a segmentation, get the used coordinates of the spatial bounding box and apply
     this crop on other matching images.
+
+    WARNING! The first segmentation (that has the required key) contained in the list of segmentations of a given image
+    is used to compute the centroid. For example, if there is multiple 'Prostate' segmentation of the same CT scan, the
+    first segmentation in the files is used to compute the centroid.
     """
 
     def __init__(
@@ -81,7 +85,8 @@ def __call__(self, data: Dict[Hashable, np.ndarray]) -> Dict[str, np.ndarray]:
         elif self._mode == Mode.IMAGE:
             assert self._centroid is not None, "'centroid' must be set before __call__ with image mode."
         elif self._mode == Mode.SEGMENTATION:
-            self._centroid = compute_centroid(d[self._segmentation_key])
+            if self._centroid is None:
+                self._centroid = compute_centroid(d[self._segmentation_key])
         else:
             raise ValueError("Unknown transform mode.")
 

setup.py

@@ -2,7 +2,7 @@
 
 setuptools.setup(
     name="delia",
-    version="1.0.14",
+    version="1.0.15",
     author="Maxence Larose",
     author_email="[email protected]",
     description="DICOM Extraction for Large-scale Image Analysis (DELIA).",