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.