.. _scil_freewater_maps: scil_freewater_maps =================== :: usage: __main__.py [-h] [--mask MASK] [--out_dir OUT_DIR] [--b_thr B_THR] [--para_diff PARA_DIFF] [--iso_diff ISO_DIFF] [--perp_diff_min PERP_DIFF_MIN] [--perp_diff_max PERP_DIFF_MAX] [--lambda1 LAMBDA1] [--lambda2 LAMBDA2] [--save_kernels DIRECTORY | --load_kernels DIRECTORY] [--compute_only] [--mouse] [--processes NBR] [-v [{DEBUG,INFO,WARNING,ERROR}]] [-f] in_dwi in_bval in_bvec Compute Free Water maps [1] using the AMICO framework [2]. This script supports both single and multi-shell data. ---------------------------------------------------------- References: [1] Pasternak 0, Sochen N, Gur Y, Intrator N, Assaf Y. Free water elimination and mapping from diffusion mri. Magn Reson Med. 62 (3) (2009) 717-730. [2] Daducci A, et al. Accelerated microstructure imaging via convex optimization (AMICO) from diffusion MRI data. Neuroimage 105 (2015) 32-44. ---------------------------------------------------------- positional arguments: in_dwi DWI file. in_bval b-values filename, in FSL format (.bval). in_bvec b-vectors filename, in FSL format (.bvec). options: -h, --help show this help message and exit --mask MASK Brain mask filename. --out_dir OUT_DIR Output directory for the Free Water results. [results] --b_thr B_THR Limit value to consider that a b-value is on an existing shell. Above this limit, the b-value is placed on a new shell. This includes b0s values. --mouse If set, use mouse fitting profile. --processes NBR Number of sub-processes to start. Default: [1] -v [{DEBUG,INFO,WARNING,ERROR}] Produces verbose output depending on the provided level. Default level is warning, default when using -v is info. -f Force overwriting of the output files. Model options: --para_diff PARA_DIFF Axial diffusivity (AD) in the CC. [0.0015] --iso_diff ISO_DIFF Mean diffusivity (MD) in ventricles. [0.003] --perp_diff_min PERP_DIFF_MIN Radial diffusivity (RD) minimum. [0.0001] --perp_diff_max PERP_DIFF_MAX Radial diffusivity (RD) maximum. [0.0007] --lambda1 LAMBDA1 First regularization parameter. [0.0] --lambda2 LAMBDA2 Second regularization parameter. [0.25] Kernels options: --save_kernels DIRECTORY Output directory for the COMMIT kernels. --load_kernels DIRECTORY Input directory where the COMMIT kernels are located. --compute_only Compute kernels only, --save_kernels must be used. 2.2.2