.. _scil_NODDI_maps: scil_NODDI_maps =============== :: usage: __main__.py [-h] [--mask MASK] [--out_dir OUT_DIR] [--tolerance tol] [--skip_b0_check] [--para_diff PARA_DIFF] [--iso_diff ISO_DIFF] [--lambda1 LAMBDA1] [--lambda2 LAMBDA2] [--save_kernels DIRECTORY | --load_kernels DIRECTORY] [--compute_only] [--processes NBR] [-v [{DEBUG,INFO,WARNING,ERROR}]] [-f] in_dwi in_bval in_bvec Compute NODDI [1] maps using AMICO. Multi-shell DWI necessary. --------------------------------------------------------------- Reference: [1] Zhang H, Schneider T, Wheeler-Kingshott CA, Alexander DC. NODDI: practical in vivo neurite orientation dispersion and density imaging of the human brain. NeuroImage. 2012 Jul 16;61:1000-16. --------------------------------------------------------------- positional arguments: in_dwi DWI file acquired with a NODDI compatible protocol (single-shell data not suited). 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 NODDI results. [results] --tolerance tol The tolerated gap between the b-values to extract and the current b-value. [Default: 20] * Note. We would expect to find at least one b-value in the range [0, tolerance]. To skip this check, use --skip_b0_check. --skip_b0_check By default, we supervise that at least one b0 exists in your data (i.e. b-values below the default --tolerance). Use this option to allow continuing even if the minimum b-value is suspiciously high. If no b-value is found below the threshold, the script will continue with the original --tolerance and no b0 volumes. Use with care, and only if you understand your data. --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] --lambda1 LAMBDA1 First regularization parameter. [0.5] --lambda2 LAMBDA2 Second regularization parameter. [0.001] 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