749855e9d1b5bd1aa7b46db144503922fbc0a336,doc/examples/brain_extraction_dwi.py,,,#,8

Before Change

         dipy_home+"/datasets_multi-site_all_companies/Stanford/b0.nii.gz"]

for f in files :
    print(f)
    img = nib.load(f)
    data = img.get_data()
    fname = os.path.splitext(os.path.splitext(f)[0])[0]

After Change

slice = data.shape[2]/2
plt.figure("Brain segmentation")
plt.subplot(1,2,1)
plt.imshow(data[:,:,slice])
plt.subplot(1,2,2)
plt.imshow(b0_mask[:,:,slice])
plt.show()


`medostu` can also automaticaly crop the outputs to remove the largest possible

Instances