NifTK
16.4.1 - 0798f20
CMIC's Translational Medical Imaging Platform
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Takes a segmented GM/WM/CSF labelled image, and refines it by using Chloe Hutton's method of growing the GM outwards, calculating thickness, and detecting sulci voxels. See: Hutton et. al. NeuroImage 2008 paper: doi:10.1016/j.neuroimage.2008.01.027 Usage: cteRefineLabelImage.sh label.nii output.nii [options] Mandatory Arguments: label.nii : Label image, containing exactly 3 distinct values, corresponding to GM, WM, CSF. Default is assumed to be WM=1, GM=2, CSF=3 output.nii : The output. Options: -white : The white value in label.nii. Default 1 -grey : The grey value in label.nii. Default 2 -csf : The csf value in label.nii. Default 3 -tmproot <directory> : Define a root directory for temporary files. Default /tmp The difference between this option and the next, is that this one takes the root directory (eg. /tmp) and creates a sub directory with a process ID in it. (eg. /tmp/seg.1234) whereas the next option just uses exactly what you give it. -tmpdir <directory> : Set temporary workspace directory. -keeptmp : Keep temporary workspace directory