.. _scil_bingham_metrics: scil_bingham_metrics ==================== :: usage: __main__.py [-h] [--out_fd OUT_FD] [--out_fs OUT_FS] [--out_ff OUT_FF] [--not_all] [--mask MASK] [--nbr_integration_steps NBR_INTEGRATION_STEPS] [-v [{DEBUG,INFO,WARNING,ERROR}]] [--processes NBR] [-f] in_bingham Script to compute fODF lobe-specific metrics derived from a Bingham distribution fit, as described in [1]. Resulting metrics are fiber density (FD), fiber spread (FS) and fiber fraction (FF) [2]. The Bingham coefficients volume comes from scil_fodf_to_bingham. A lobe's FD is the integral of the Bingham function on the sphere. It represents the density of fibers going through a given voxel for a given fODF lobe (fixel). A lobe's FS is the ratio of its FD on its maximum AFD. It is at its minimum for a sharp lobe and at its maximum for a wide lobe. A lobe's FF is the ratio of its FD on the total FD in the voxel. Using 12 threads, the execution takes 10 minutes for FD estimation for a brain with 1mm isotropic resolution. Other metrics take less than a second. ------------------------------------------------------------------------------ References: [1] T. W. Riffert, J. Schreiber, A. Anwander, and T. R. Knösche, “Beyond fractional anisotropy: Extraction of bundle-specific structural metrics from crossing fiber models,” NeuroImage, vol. 100, pp. 176-191, Oct. 2014, doi: 10.1016/j.neuroimage.2014.06.015. [2] J. Schreiber, T. Riffert, A. Anwander, and T. R. Knösche, “Plausibility Tracking: A method to evaluate anatomical connectivity and microstructural properties along fiber pathways,” NeuroImage, vol. 90, pp. 163-178, Apr. 2014, doi: 10.1016/j.neuroimage.2014.01.002. ------------------------------------------------------------------------------ positional arguments: in_bingham Input Bingham nifti image. options: -h, --help show this help message and exit --out_fd OUT_FD Path to output fiber density. [fd.nii.gz] --out_fs OUT_FS Path to output fiber spread. [fs.nii.gz] --out_ff OUT_FF Path to fiber fraction file. [ff.nii.gz] --not_all Do not compute all metrics. Then, please provide the output paths of the files you need. --mask MASK Optional mask image. Only voxels inside the mask are computed. --nbr_integration_steps NBR_INTEGRATION_STEPS Number of integration steps along the theta axis for fiber density estimation. [50] -v [{DEBUG,INFO,WARNING,ERROR}] Produces verbose output depending on the provided level. Default level is warning, default when using -v is info. --processes NBR Number of sub-processes to start. Default: [1] -f Force overwriting of the output files. 2.2.2