.. _scil_lesions_info: scil_lesions_info ================= :: usage: __main__.py [-h] [--bundle BUNDLE | --bundle_mask BUNDLE_MASK | --bundle_labels_map BUNDLE_LABELS_MAP] [--min_lesion_vol MIN_LESION_VOL] [--out_lesion_atlas FILE] [--out_lesion_stats FILE] [--out_streamlines_stats FILE] [--indent INDENT] [--sort_keys] [--reference REFERENCE] [-v [{DEBUG,INFO,WARNING,ERROR}]] [-f] in_lesion out_json This script will output informations about lesion load in bundle(s). The input lesion file is a labeled volume (.nii.gz) where each lesion is represented by a unique label. To label a lesion file use scil_labels_from_mask. Then, the second input can either be streamlines, binary bundle mask, or a bundle voxel label map. positional arguments: in_lesion Lesions file as labels (.nii.gz). out_json Output file for lesion information (.json). options: -h, --help show this help message and exit --bundle BUNDLE Path of the bundle file (.trk). --bundle_mask BUNDLE_MASK Path of the bundle binary mask (.nii.gz). --bundle_labels_map BUNDLE_LABELS_MAP Path of the bundle labels map (.nii.gz). --min_lesion_vol MIN_LESION_VOL Minimum lesion volume in mm3 [7]. --out_lesion_atlas FILE Save the labelized lesion(s) map (.nii.gz). --out_lesion_stats FILE Save the lesion-wise volume measure (.json). --out_streamlines_stats FILE Save the lesion-wise streamline count (.json). --reference REFERENCE Reference anatomy for tck/vtk/fib/dpy file support (.nii or .nii.gz). -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. Json options: --indent INDENT Indent for json pretty print. --sort_keys Sort keys in output json. 2.2.2