.. _scil_labels_split_volume_from_lut:

scil_labels_split_volume_from_lut
=================================

::

	usage: __main__.py [-h] [--out_dir OUT_DIR] [--out_prefix OUT_PREFIX]
	                   (--scilpy_lut {freesurfer_subcortical,freesurfer_desikan_killiany,dk_aggregate_structures} | --custom_lut CUSTOM_LUT)
	                   [-v [{DEBUG,INFO,WARNING,ERROR}]] [-f]
	                   in_label
	
	Split a label image into multiple images where the name of the output images
	is taken from a lookup table (ex: left-lateral-occipital.nii.gz,
	right-thalamus.nii.gz, ...). Only the labels included in the lookup table
	are extracted.
	
	IMPORTANT: your label image must be of an integer type.
	
	positional arguments:
	  in_label              Path of the input label file, in a format supported by Nibabel.
	
	options:
	  -h, --help            show this help message and exit
	  --out_dir OUT_DIR     Put all ouptput images in a specific directory.
	  --out_prefix OUT_PREFIX
	                        Prefix to be used for each output image.
	  --scilpy_lut {freesurfer_subcortical,freesurfer_desikan_killiany,dk_aggregate_structures}
	                        Lookup table, in the file scilpy/data/LUT, used to name the output files.
	  --custom_lut CUSTOM_LUT
	                        Path of the lookup table file, used to name the output files.
	  -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.
	
	2.2.2