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¶
- --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]
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, and Daniel B. Russakoff
LICENSE¶
http://www.fsf.org/licensing/licenses/gpl.html
BUGS¶
Report bugs at
http://nitrc.org/projects/cmtk/
ACKNOWLEDGMENTS¶
From April 2009 through September 2011, CMTK Development and Maintenance was
supported by the National Institute of Biomedical Imaging and Bioengineering
under Grant No.R01 EB008381 (PI: Torsten Rohlfing).