27e4a648a96c76de6b7ed24ea95ea76ee17f623d,pynets/registration/register.py,FmriReg,atlas2t1wmni_align,#FmriReg#Any#Any#Any#,773

Before Change

        atlas_data = np.around(np.asarray(atlas_img.dataobj)).astype("int16")
        img = nib.Nifti1Image(atlas_data.astype("int16"), affine=atlas_img.affine,header=atlas_img.header)
        if len(img.header.extensions) != 0:
            img.header.extensions.clear()
        nib.save(img, aligned_atlas_t1mni)

        gm_mask_mni_img = nib.load(gm_mask_mni)
        if len(gm_mask_mni_img.header.extensions) != 0:

After Change

        from nilearn.image import resample_img
        aligned_atlas_t1mni = "%s%s%s%s" % (self.anat_path, "/", atlas, "_t1w_mni.nii.gz")
        gm_mask_mni = "%s%s%s%s" % (self.anat_path, "/", self.t1w_name, "_gm_mask_t1w_mni.nii.gz")
        gm_mask_mni_atlas_res = "%s%s%s%s%s" % (self.anat_path, "/", atlas, self.t1w_name, "_gm_mask_t1w_mni.nii.gz")
        aligned_atlas_t1mni_gm = "%s%s%s%s" % (self.anat_path, "/", atlas, "_t1w_mni_gm.nii.gz")

        uatlas_filled = "%s%s%s%s" % (self.anat_path, "/", atlas, "_filled.nii.gz")
        os.system("fslmaths {} -add {} -mas {} {}".format(self.input_mni_brain, uatlas, self.input_mni_mask,

Instances