Shape-based averaging and interpolation of label images
sbai InputImageVector
Average segmentations (label fields) using the Euclidean Distance Transform. This tool performs joint interpolation and averaging by interpolating from the EDT. This requires that the inputs are transformations from the same fixed to (not necessarily) different moving images. EDT computation is done in the space of each moving image. See http://dx.doi.org/10.1109/TIP.2006.884936 for details of the underlying algorithm.
--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).
--num-labels <integer>, -n <integer>
Number of labels. It is assumed that only values [0..num] occur in the images [Default: 0]
--padding <float>, -p <float>
Padding value in input image [Default: disabled]
--replace-from <string>
Replace from pattern
--replace-to <string>
Replace to pattern
--output <string>, -o <string>
File name for output segmentation file. [Default: sbai.nii ]
Torsten Rohlfing, with contributions from Michael P. Hasak, Greg Jefferis, Calvin R. Maurer, Daniel B. Russakoff, and Yaroslav Halchenko
http://www.fsf.org/licensing/licenses/gpl.html
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.