dipy_buan_shapes#

Usage#

dipy_buan_shapes [-h] [–clust_thr [float …]] [–threshold float] [–out_dir str] subject_folder

Workflow of bundle analytics.

Applies bundle shape similarity analysis on bundles of subjects and saves the results in a directory specified by out_dir.

Positional Arguments#

subject_folder Path to the input subject folder. This path may contain wildcards to process multiple inputs at once.

options:
-h, --help

show this help message and exit

–clust_thr [float …]

list of bundle clustering thresholds used in QuickBundlesX.

--threshold float

Bundle shape similarity threshold.

Output Arguments(Optional)#

--out_dir str

Output directory. (default current directory)

References#

[Chandio2020]

Chandio, B.Q., Risacher, S.L., Pestilli, F.,Bullock, D., Yeh, FC., Koudoro, S., Rokem, A., Harezlak, J., andGaryfallidis, E. Bundle analytics, a computational framework forinvestigating the shapes and profiles of brain pathways acrosspopulations. Sci Rep 10, 17149 (2020)

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.