dipy_fit_ivim#
Synopsis#
Workflow for Intra-voxel Incoherent Motion reconstruction and for computing IVIM metrics.
Performs a IVIM reconstruction [1], [2] on the files by ‘globing’ input_files
and saves the IVIM metrics in a directory specified by out_dir
.
Usage#
dipy_fit_ivim [OPTIONS] input_files bvalues_files bvectors_files mask_files
Input Parameters#
input_files
Path to the input volumes. This path may contain wildcards to process multiple inputs at once.
bvalues_files
Path to the bvalues files. This path may contain wildcards to use multiple bvalues files at once.
bvectors_files
Path to the bvalues files. This path may contain wildcards to use multiple bvalues files at once.
mask_files
Path to the input masks. This path may contain wildcards to use multiple masks at once. (default: No mask used)
General Options#
--split_b_D
Value to split the bvals to estimate D for the two-stage process of fitting.
--split_b_S0
Value to split the bvals to estimate S0 for the two-stage process of fitting.
--b0_threshold
Threshold value for the b0 bval.
--save_metrics
List of metrics to save. Possible values: S0_predicted, perfusion_fraction, D_star, D
Output Options#
--out_dir
Output directory. (default current directory)
--out_S0_predicted
Name of the S0 signal estimated to be saved.
--out_perfusion_fraction
Name of the estimated volume fractions to be saved.
--out_D_star
Name of the estimated pseudo-diffusion parameter to be saved.
--out_D
Name of the estimated diffusion parameter 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.