[–progressive] [–out_dir str] [–out_moved str] [–out_affine str] [–out_stat_centroids str] [–out_moving_centroids str]
[–out_moved_centroids str]
static_files moving_files Streamline-based linear registration. For efficiency we apply the registration on cluster centroids and remove small clusters. static_files
moving_files show this help message and exit rigid, similarity or affine transformation model. Remove clusters that have less than rm_small_clusters. –qbx_thr [int …] Thresholds for QuickBundlesX.
–num_threads int Number of threads to be used for OpenMP parallelization. If None (default) the value of OMP_NUM_THREADS environment variable is used if it is set, otherwise all available threads are used. If < 0 the maximal number of threads minus |num_threads + 1| is used (enter -1 to use as many threads as possible). 0 raises an error. Only metrics using OpenMP will use this variable.
–greater_than int Keep streamlines that have length greater than this value.
–less_than int Keep streamlines have length less than this value.
–nb_pts int Number of points for discretizing each streamline.
–progressive Output directory. (default current directory) Filename of moved tractogram. Filename of affine for SLR transformation. Filename of static centroids. Filename of moving centroids. Filename of moved centroids. Garyfallidis et al. “Robust and efficient linearregistration of white-matter fascicles in the space ofstreamlines”, NeuroImage, 117, 124–140, 2015 Garyfallidis et al., “Direct native-space fiberbundle alignment for group comparisons”, ISMRM, 2014. Garyfallidis et al. Recognition of white matterbundles using local and global streamline-based registrationand clustering, NeuroImage, 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.dipy_slr
Usage
Positional Arguments
Optional Arguments
Output Arguments(Optional)
References