Source code for unravel.image_io.nii_info

#!/usr/bin/env python3

"""
Use ``io_nii_info`` from UNRAVEL to load an .nii.gz image and print its data type, shape, voxel sizes, and affine matrix using nibabel.

Usage:
------
    io_nii_info -i path/img.nii.gz [-v]
"""

import nibabel as nib
import numpy as np
from rich import print
from rich.traceback import install

from unravel.core.help_formatter import RichArgumentParser, SuppressMetavar, SM
from unravel.core.config import Configuration
from unravel.core.utils import log_command, verbose_start_msg, verbose_end_msg


[docs] def parse_args(): parser = RichArgumentParser(formatter_class=SuppressMetavar, add_help=False, docstring=__doc__) reqs = parser.add_argument_group('Required arguments') reqs.add_argument('-i', '--input', help='path/img.nii.gz', action=SM) general = parser.add_argument_group('General arguments') general.add_argument('-v', '--verbose', help='Increase verbosity. Default: False', action='store_true', default=False) return parser.parse_args()
[docs] def nii_axis_codes(nii): """Get and return axes codes (three letter orientation like RAS) from an nibabel NIfTI image""" axcodes_tuple = nib.orientations.aff2axcodes(nii.affine) axcodes = ''.join(axcodes_tuple) return axcodes
[docs] @log_command def main(): install() args = parse_args() Configuration.verbose = args.verbose verbose_start_msg() nii = nib.load(args.input) np.set_printoptions(precision=2, suppress=True) # Print data type data_type = nii.get_data_dtype() print(f'\nData type:\n[default bold]{data_type}') # Print dimensions print(f'\nShape (x, y, z):\n{nii.shape}') # Print the voxel sizes voxel_sizes = nii.header.get_zooms() voxel_sizes = tuple(np.array(voxel_sizes) * 1000) print(f'\nVoxel sizes (in microns):\n{voxel_sizes}') # Print orientation and affine axcodes = nii_axis_codes(nii) np.set_printoptions(precision=4, suppress=True) print(f'\nAffine matrix ([default bold]{axcodes}[/]):\n{nii.affine}\n') verbose_end_msg()
if __name__ == '__main__': main()