AFNI program: @ROI_modal_grow
Output of -help
Overview ~1~
Script to grow a set of regions in a volumetric dataset using modal
smoothing.
Usage Example ~1~
@ROI_modal_grow \
-input mydset.nii.gz \
-outdir myoutdir \
-niters 5 \
-mask mymask.nii.gz \
-prefix rmg_name
Note only the input dataset and the number of iteration levels
are required.
Options ~1~
-input input_dset :required input dataset. This dataset should be
set of integer values. The program mostly assumes
approximate isotropic voxels.
-outdir outdirname :directory name for output. All output goes to
this directory. Default is rmgrow.
-niters nn :number of iterations for modal growth -
something like dilation level here - generally
this will make sense for values from about 1-10
-mask maskset :mask dataset at same grid as the input dataset.
this could be a dilated version of the original mask
or a larger region like a cortical ribbon mask.
Not required but often desirable.
-prefix baseprefix :base name of final output dataset, i.e. baseprefix.nii.gz
Default is rmg, so output would be rmg.nii.gz
-NN [1,2,3] :neighborhood type using in finding mode,
1 - facing neighbors, 2-edges, 3-corners
Also see these programs with these similar functions:
3dROImaker - grows regions using regular dilation iteratively
3dmask_tool - dilates and erodes sets of input files or a single output mask
3dmerge, 3dAutomask, 3dcalc - all can do dilation
3dLocalstat - modal and nonzero modal smoothing
ROIgrow - dilates surface ROI (patches) within the mesh of the surface
This page auto-generated on
Tue Dec 17 06:56:15 PM EST 2024