Provided by: cmtk_3.0.0-1ubuntu1_amd64
lvote - Local voting.
lvote [options] targetImage atlasIntensity1 atlasLabels1 [atlasIntensity2 atlasLabels2 [...]]
This tool combines multiple segmentations fro co-registered and reformatted atlases using locally-weighted voting.
Global Toolkit Options (these are shared by all CMTK tools) --help Write list of basic command line options to standard output. --help-all Write complete list of basic and advanced command line options to standard output. --wiki Write list of command line options to standard output in MediaWiki markup. --man Write man page source in 'nroff' markup to standard output. --version Write toolkit version to standard output. --echo Write the current command line to standard output. --verbose-level <integer> Set verbosity level. --verbose, -v Increment verbosity level by 1 (deprecated; supported for backward compatibility). --threads <integer> Set maximum number of parallel threads (for POSIX threads and OpenMP). Input Options --set-padding-value <double> Set padding value for input intensity images. Pixels with this value will be ignored. [Default: disabled] Label Combination Options --patch-radius <none> Radius of image patch (in pixels) used for local similarity computation. [Default: 5] --use-global-weights Use global weights per atlas to normalize the patch-pased local similarity scores. --no-global-outliers Detect and exclude global outliers by removing poorly correlated atlases prior to local voting procedure. Output Options --output <string>, -o <string> File system path for the output image. [Default: lvote.nii ]
Torsten Rohlfing, with contributions from Michael P. Hasak, Greg Jefferis, Calvin R. Maurer, Daniel B. Russakoff, and Yaroslav Halchenko
Report bugs at http://nitrc.org/projects/cmtk/
CMTK is developed with support from the NIAAA under Grant AA021697, National Consortium on Alcohol and Neurodevelopment in Adolescence (N-CANDA): Data Integration Component. From April 2009 through September 2011, CMTK development and maintenance was supported by the NIBIB under Grant EB008381.