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.

CMTK 3.3.1p2                                       Apr  1 2024                                            sba(1)