NAME

       sba - Shape-based Averaging of label images

SYNOPSIS

       sba InputImageVector

DESCRIPTION

       Average  segmentations  (label  fields)  using the Euclidean Distance Transform. All input
       images  must  be  in  the  same  space.  EDT  is  computed  in  this   space   also.   See
       http://dx.doi.org/10.1109/TIP.2006.884936 for details of the underlying algorithm.

OPTIONS

   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
       --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]

   Label Combination Options
       --exclude-outliers, -x
            Exclude local outliers in the shape-based averaging algorithm. Outliers at each pixel
            are  defined as those input images for which the distance from the nearest pixel with
            the current label exceeds thresholds computed from the  set  of  distances  over  all
            inputs.

   Output Options
       --output <string>, -o <string>
            File name for output segmentation file.  [Default: sba.nii ]

AUTHORS

       Torsten  Rohlfing,  with  contributions  from  Michael  P. Hasak, Greg Jefferis, Calvin R.
       Maurer, Daniel B. Russakoff, and Yaroslav Halchenko

LICENSE

       http://www.fsf.org/licensing/licenses/gpl.html

BUGS

       Report bugs at http://nitrc.org/projects/cmtk/

ACKNOWLEDGMENTS

       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.