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()