Source code for unravel.image_io.zarr_to_nii

#!/usr/bin/env python3

"""
Use ``io_zarr_to_nii`` from UNRAVEL to convert an image.zarr to an image.nii.gz.

Note:
    - Outputs RAS orientation w/o respect to anatomical orientation
    - Scaling not preserved

Usage:
------
    io_zarr_to_nii -i path/img.zarr -o path/img.nii.gz [-v]    
"""

import nibabel as nib
import numpy as np
import zarr
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, print_func_name_args_times


[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/image.zarr', required=True, action=SM) opts = parser.add_argument_group('Optional arguments') opts.add_argument('-o', '--output', help='path/image.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] @print_func_name_args_times() def zarr_to_ndarray(img_path): zarr_dataset = zarr.open(img_path, mode='r') return np.array(zarr_dataset)
[docs] def define_zarr_to_nii_output(output_path): if args.output: return args.output else: return str(args.input).replace(".zarr", ".nii.gz")
[docs] @print_func_name_args_times() def save_as_nii(ndarray, output_path): affine = np.eye(4) nifti_image = nib.Nifti1Image(ndarray, affine) nib.save(nifti_image, output_path)
[docs] @log_command def main(): install() args = parse_args() Configuration.verbose = args.verbose verbose_start_msg() img = zarr_to_ndarray(args.input) output_path = define_zarr_to_nii_output(args.output) save_as_nii(img, output_path) verbose_end_msg()
if __name__ == '__main__': main()