f9f298f603a38c703d9b5f48e1809818053c5dfc,pynets/dmri/estimation.py,,sfm_mod_est,#Any#Any#Any#,196

Before Change

    print("Fitting SF model...")
    B0_mask_data = np.asarray(nib.load(B0_mask).dataobj).astype("bool")
    print("Reconstructing...")
    model = sfm.SparseFascicleModel(gtab, sphere=get_sphere("repulsion724"), l1_ratio=0.5, alpha=0.001)
    sf_mod = model.fit(data, mask=B0_mask_data)

    del B0_mask_data

After Change

    from dipy.data import get_sphere
    import dipy.reconst.sfm as sfm

    sphere = get_sphere("repulsion724")
    print("Fitting SF model...")
    B0_mask_data = np.asarray(nib.load(B0_mask).dataobj).astype("bool")
    print("Reconstructing...")
    model = sfm.SparseFascicleModel(gtab, sphere=sphere, l1_ratio=0.5, alpha=0.001)
    sf_mod = model.fit(data, mask=B0_mask_data)
    sf_odf = sf_mod.odf(sphere)

    del B0_mask_data
    return sf_odf, model

Instances