b9aac6f4f32d755595c577c5fc5ac0936a914031,doc/examples/brain_extraction_dwi.py,,,#,25

Before Change

from dipy.data.fetcher import fetch_scil_b0
from dipy.io.image import load_nifti, save_nifti

files, folder = fetch_scil_b0()
data, affine = load_nifti(pjoin(folder, "datasets_multi-site_all_companies",
                                "1.5T", "Siemens", "b0.nii.gz"))
data = np.squeeze(data)

After Change

from dipy.data import get_fnames
from dipy.io.image import load_nifti, save_nifti

data_fnames = get_fnames("scil_b0")
data, affine = load_nifti(data_fnames[1])
data = np.squeeze(data)

Instances