Spaces:
Running
on
Zero
Running
on
Zero
FrancescoLR
commited on
Update app.py
Browse files
app.py
CHANGED
@@ -33,7 +33,7 @@ def extract_middle_slices(nifti_path, output_image_path, slice_size=180):
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Extracts slices centered around the center of mass of non-zero voxels in a 3D NIfTI image.
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The slices are taken along axial, coronal, and sagittal planes and saved as a single PNG.
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"""
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-
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img = nib.load(nifti_path)
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data = img.get_fdata()
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@@ -66,19 +66,21 @@ def extract_middle_slices(nifti_path, output_image_path, slice_size=180):
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# Apply rotations to each slice
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axial_slice = np.rot90(axial_slice, k=-1) # 90 degrees clockwise
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coronal_slice = np.rot90(coronal_slice, k=1) # 90 degrees anticlockwise
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sagittal_slice = np.rot90(sagittal_slice, k=1) # 90 degrees anticlockwise
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# Create subplots
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fig, axes = plt.subplots(1, 3, figsize=(12, 4))
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# Plot each rotated slice
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axes[0].imshow(axial_slice, cmap="gray", origin="lower")
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axes[0].axis("off")
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axes[1].imshow(coronal_slice, cmap="gray", origin="lower")
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axes[1].axis("off")
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axes[2].imshow(sagittal_slice, cmap="gray", origin="lower")
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axes[2].axis("off")
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# Save the figure
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Extracts slices centered around the center of mass of non-zero voxels in a 3D NIfTI image.
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The slices are taken along axial, coronal, and sagittal planes and saved as a single PNG.
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"""
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# Load NIfTI image and get the data
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img = nib.load(nifti_path)
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data = img.get_fdata()
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# Apply rotations to each slice
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axial_slice = np.rot90(axial_slice, k=-1) # 90 degrees clockwise
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coronal_slice = np.rot90(coronal_slice, k=1) # 90 degrees anticlockwise
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coronal_slice = np.rot90(coronal_slice, k=2) # Additional 180 degrees
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sagittal_slice = np.rot90(sagittal_slice, k=1) # 90 degrees anticlockwise
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sagittal_slice = np.rot90(sagittal_slice, k=2) # Additional 180 degrees
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# Create subplots
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fig, axes = plt.subplots(1, 3, figsize=(12, 4))
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# Plot each rotated slice
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axes[0].imshow(axial_slice, cmap="gray", origin="lower", aspect='auto')
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axes[0].axis("off")
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axes[1].imshow(coronal_slice, cmap="gray", origin="lower", aspect='auto')
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axes[1].axis("off")
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axes[2].imshow(sagittal_slice, cmap="gray", origin="lower", aspect='auto')
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axes[2].axis("off")
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# Save the figure
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