mri_segment
mri_segment <classifierfile> <invol> <outvol>
This program segments white matter from the input volume. The input volume should be normalized such that white matter voxels are ~110-valued, and the volume is conformed to 256^3. This can be accomplished by: mri_normalize invol outvol -conform
Argument | Explanation |
---|---|
<classifierfile> | classifier file |
<invol> | input volume |
<outvol> | output volume |
Argument | Explanation |
---|---|
-slope <s> | set the curvature slope (both n and p) |
-pslope <p> | set the curvature pslope (default=1.0) |
-nslope <n> | set the curvature nslope (default=1.0) |
-debug_voxel <x y z> | set voxel for debugging |
-auto | automatically detect class statistics (default) |
-noauto | don't automatically detect class statistics |
-log | log to ./segment.dat |
-keep | keep wm edits. maintains all values of 1 and 255. voxels of value 1 will be 'deleted' and voxels of value 255 will be 'filled' |
-ghi,-gray_hi <h> | set the gray matter high limit (default=100.000) |
-wlo,-wm_low <l> | set the white matter low limit (default=90.000) |
-whi,-wm_hi <h> | set the white matter high limit (default=125.000) |
-nseg <n> | thicken the n largest thin strands (default=20) |
-thicken | toggle thickening step (default=ON) |
-fillbg | toggle filling of the basal ganglia (default=OFF) |
-fillv | toggle filling of the ventricles (default=OFF) |
-b <s> | set blur sigma (default=0.25) |
-n <i> | set # iterations of border classification (default=1) |
-t <t> | set limit to thin strands in mm (default=4) |
-v | verbose |
-p <p> | set % threshold (default=0.80) |
-x <filename> | extract options from filename |
-w <w> | set wsize (default=11) |
-u | usage |
Output | Explanation |
---|---|
<outvol> | output volume |
Report bugs to <freesurfer@nmr.mgh.harvard.edu>