예제 #1
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def calc_shifted_vox2tk_ras(region_fname, colin_T1_fname):
    region_vox2ras = tu.get_vox2ras(region_fname)
    zero_in_ras = utils.apply_trans(region_vox2ras, [[0, 0, 0]])
    zero_in_T1_voxels = utils.apply_trans(np.linalg.inv(tu.get_vox2ras(colin_T1_fname)), zero_in_ras)
    zero_in_T1_tk_ras = utils.apply_trans(tu.get_vox2ras_tkr(colin_T1_fname), zero_in_T1_voxels)
    voxels_sizes = [abs(v) for v in np.diag(region_vox2ras)[:-1]]
    shifted_vox2tk_ras = get_shifted_vox2tk_ras(zero_in_T1_tk_ras[0], voxels_sizes)
    return shifted_vox2tk_ras
예제 #2
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def calc_shifted_vox2tk_ras(region_fname, colin_T1_fname):
    region_vox2ras = tu.get_vox2ras(region_fname)
    zero_in_ras = utils.apply_trans(region_vox2ras, [[0, 0, 0]])
    zero_in_T1_voxels = utils.apply_trans(np.linalg.inv(tu.get_vox2ras(colin_T1_fname)), zero_in_ras)
    zero_in_T1_tk_ras = utils.apply_trans(tu.get_vox2ras_tkr(colin_T1_fname), zero_in_T1_voxels)
    voxels_sizes = [abs(v) for v in np.diag(region_vox2ras)[:-1]]
    shifted_vox2tk_ras = get_shifted_vox2tk_ras(zero_in_T1_tk_ras[0], voxels_sizes)
    return shifted_vox2tk_ras
예제 #3
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def main(region, atlas_fol, colin_T1_fname, overwrite=False):
    for hemi in ['lh', 'rh']:
        region_fname = op.join(atlas_fol, hemi, '{}.nii.gz'.format(region))
        prepare_mask_file(region_fname, overwrite=overwrite)
        mask_to_srf(atlas_fol, region, hemi, op.join(SUBJECTS_DIR, 'colin27', 'mri', 'norm.mgz'))
        region_vox2ras_tkr = tu.get_vox2ras_tkr(region_fname)
        shifted_vox2tk_ras = calc_shifted_vox2tk_ras(region_fname, colin_T1_fname)
        convert_to_ply(op.join(atlas_fol, 'tmp', '{}_{}.srf'.format(region, hemi)),
                       op.join(atlas_fol, 'tmp', '{}_{}.ply'.format(region, hemi)),
                       region_vox2ras_tkr, shifted_vox2tk_ras)
        shutil.copy(op.join(atlas_fol, 'tmp', '{}_{}.ply'.format(region, hemi)),
                    op.join(MMVT_DIR, 'colin27', 'subcortical', '{}_{}.ply'.format(region, hemi)))
예제 #4
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def main(region, atlas_fol, colin_T1_fname, overwrite=False):
    for hemi in ['lh', 'rh']:
        region_fname = op.join(atlas_fol, hemi, '{}.nii.gz'.format(region))
        prepare_mask_file(region_fname, overwrite=overwrite)
        mask_to_srf(atlas_fol, region, hemi, op.join(SUBJECTS_DIR, 'colin27', 'mri', 'norm.mgz'))
        region_vox2ras_tkr = tu.get_vox2ras_tkr(region_fname)
        shifted_vox2tk_ras = calc_shifted_vox2tk_ras(region_fname, colin_T1_fname)
        convert_to_ply(op.join(atlas_fol, 'tmp', '{}_{}.srf'.format(region, hemi)),
                       op.join(atlas_fol, 'tmp', '{}_{}.ply'.format(region, hemi)),
                       region_vox2ras_tkr, shifted_vox2tk_ras)
        utils.copy_file(op.join(atlas_fol, 'tmp', '{}_{}.ply'.format(region, hemi)),
                    op.join(MMVT_DIR, 'colin27', 'subcortical', '{}_{}.ply'.format(region, hemi)))