dipy_track#
Synopsis#
Workflow for Local Fiber Tracking.
This workflow use a saved peaks and metrics (PAM) file as input. See [1] and [2] for further details about the method.
Usage#
dipy_track [OPTIONS] pam_files stopping_files seeding_files
Input Parameters#
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.
General Options#
--use_binary_mask
If True, uses a binary stopping criterion. If the provided stopping_files are not binary, stopping_thr will be used to binarize the images. (default: False)
--stopping_thr
Threshold applied to stopping volume’s data to identify where tracking has to stop. (default: 0.2)
--seed_density
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. (default: 1)
--minlen
Minimum length (nb points) of the streamlines. (default: 2)
--maxlen
Maximum length (nb points) of the streamlines. (default: 500)
--step_size
Step size (in mm) used for tracking. (default: 0.5)
--tracking_method
- Select direction getter strategy:
“eudx” (Uses the peaks saved in the pam_files)
“deterministic” or “det” for a deterministic tracking
“probabilistic” or “prob” for a Probabilistic tracking
“closestpeaks” or “cp” for a ClosestPeaks tracking
“ptt” for Parallel Transport Tractography
By default, the sh coefficients saved in the pam_files are used. (default: deterministic)
--pmf_threshold
Threshold for ODF functions. (default: 0.1)
--max_angle
Maximum angle between streamline segments (range [0, 90]). (default: 30.0)
--sphere_name
The sphere used for tracking. If None, the sphere saved in the pam_files is used. For faster tracking, use a smaller sphere (e.g. ‘repulsion200’). (default: None)
--save_seeds
If true, save the seeds associated to their streamline in the ‘data_per_streamline’ Tractogram dictionary using ‘seeds’ as the key. (default: False)
--nbr_threads
Number of threads to use for the processing. By default, all available threads will be used. (default: 0)
--random_seed
Seed for the random number generator, must be >= 0. A value of greater than 0 will all produce the same streamline trajectory for a given seed coordinate. A value of 0 may produces various streamline tracjectories for a given seed coordinate. (default: 1)
--seed_buffer_fraction
Fraction of the seed buffer to use. A value of 1.0 will use the entire seed buffer. A value of 0.5 will use half of the seed buffer then the other half. a way to reduce memory usage. (default: 1.0)
Output Options#
--out_dir
Output directory. (default: current directory)
--out_tractogram
Name of the tractogram file to be saved. (default: tractogram.trk)
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.