dipy_snr_in_cc#
Usage#
- dipy_snr_in_cc [-h] [–bbox_threshold [float …]] [–out_dir str] [–out_file str] [–out_mask_cc str] [–out_mask_noise str]
data_files bvals_files bvecs_files mask_file
Compute the signal-to-noise ratio in the corpus callosum.
Positional Arguments#
data_files Path to the dwi.nii.gz file. This path may contain wildcards to process multiple inputs at once. bvals_files Path of bvals. bvecs_files Path of bvecs. mask_file Path of a brain mask file.
- options:
- -h, --help
show this help message and exit
- –bbox_threshold [float …]
Threshold for bounding box, values separated with commas for ex. [0.6,1,0,0.1,0,0.1].
Output Arguments(Optional)#
- --out_dir str
Where the resulting file will be saved. (default current directory)
- --out_file str
Name of the result file to be saved.
- --out_mask_cc str
Name of the CC mask volume to be saved.
- --out_mask_noise str
Name of the mask noise volume to be saved.
References#
Garyfallidis, E., M. Brett, B. Amirbekian, A. Rokem, S. Van Der Walt, M. Descoteaux, and I. Nimmo-Smith. Dipy, a library for the analysis of diffusion MRI data. Frontiers in Neuroinformatics, 1-18, 2014.