dipy_track [-h] [–use_binary_mask] [–stopping_thr float]

[–seed_density int] [–step_size float] [–tracking_method str] [–pmf_threshold float] [–max_angle float] [–out_dir str] [–out_tractogram str] [–save_seeds] pam_files stopping_files seeding_files

Workflow for Local Fiber Tracking.

This workflow use a saved peaks and metrics (PAM) file as input.

Positional Arguments

pam_files Path to the peaks and metrics files. This path may contain wildcards to use multiple masks at once. stopping_files Path to images (e.g. FA) used for stopping criterion for tracking. seeding_files A binary image showing where we need to seed for tracking.

Optional Arguments

-h, --help

show this help message and exit


If True, uses a binary stopping criterion. If the provided stopping_files are not binary, stopping_thr will be used to binarize the images.

--stopping_thr float

Threshold applied to stopping volume’s data to identify where tracking has to stop.

--seed_density int

Number of seeds per dimension inside voxel. For example, seed_density of 2 means 8 regularly distributed points in the voxel. And seed density of 1 means 1 point at the center of the voxel.

--step_size float

Step size (in mm) used for tracking.

--tracking_method str

Select direction getter strategy : - “eudx” (Uses the peaks saved in the pam_files) - “deterministic” or “det” for a deterministic tracking (Uses the sh saved in the pam_files, default) - “probabilistic” or “prob” for a Probabilistic tracking (Uses the sh saved in the pam_files) - “closestpeaks” or “cp” for a ClosestPeaks tracking (Uses the sh saved in the pam_files)

--pmf_threshold float

Threshold for ODF functions.

--max_angle float

Maximum angle between streamline segments (range [0, 90]).


If true, save the seeds associated to their streamline in the ‘data_per_streamline’ Tractogram dictionary using ‘seeds’ as the key.

Output Arguments(Optional)

--out_dir str

Output directory. (default current directory)

--out_tractogram str

Name of the tractogram file to be saved.


Garyfallidis, University of Cambridge, PhD thesis 2012.Amirbekian, University of California San Francisco, PhD thesis 2017. 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.