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nipy / nibabel

Python package to access a cacophony of neuro-imaging file formats
http://nipy.org/nibabel/
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data.shape has one more dimension #1324

Open wxr521314 opened 1 month ago

wxr521314 commented 1 month ago 
   Thank you for your contributions.I have a question which I hope you can help me to answer
   The dual_channel_image.shape I saved with sitk is (275, 386, 386, 386, 2), why the shape I read with nibabel is (386, 386, 275, 1, 2), the result is one dimension more?

Here's my code dual_channel_image = np.stack((image_R, image_L), axis=-1) heatmap_sitk = sitk.GetImageFromArray(dual_channel_image) output_file = f"/mnt/nas/temp/sch/landmark/{data[i]}/{data[i]}_666channel.nii.gz" heatmap_sitk.SetSpacing(spacing) heatmap_sitk.SetOrigin(Origin) sitk.WriteImage(heatmap_sitk, output_file) img = nib.load(output_file) data_array = img.get_fdata() data_shape = img.shape print("Data shape:", data_shape) print("OKOKOK")