Provided by: cmtk_3.3.1p2+dfsg-2build1_amd64
NAME
mrbias - MR Image Intensity Bias Field Correction
SYNOPSIS
mrbias InputImage OutputImage
DESCRIPTION
This program corrects intensity inhomogeneity artifacts in MR images using a bias field estimated via entropy minimization.
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. --xml Write command line syntax specification in XML markup (for Slicer integration). --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). Bias Field Parameterization --degree-add <integer>, -A <integer> Polynomial degree for additive correction. [Default: 0] --degree-mul <integer>, -M <integer> Polynomial degree for multiplicative correction. [Default: 2] --incremental, -I Incrementally increase polynomial degrees. Input Image Preprocessing --set-padding-value <double> Set padding value for input intensity image. Pixels with this value will be ignored. [Default: disabled] --mask <labelmap-path>, -m <labelmap-path> Binary mask image filename. [Default: NONE] --thresh-min <float>, -t <float> Minimum intensity threshold for image foreground. [Default: disabled] --thresh-max <float>, -T <float> Minimum intensity threshold for image foreground. [Default: disabled] --thresh-auto Automatic minimum intensity threshold selection for image foreground using an estimate of image noise level. --thresh-otsu-nbins <integer> If this is a positive integer, use automatic minimum intensity threshold selection for image foreground by Otsu thresholding with given number of histogram bins. [Default: 0] Entropy Estimation Settings --log-intensities, -L Use log intensities for entropy estimation. --sampling-density <float>, -s <float> Image sampling density to use only subset of image pixels [Default: disabled] --num-bins <integer>, -n <integer> Number of histogram bins for entropy estimation [Default: 256] Optimization Algorithm Settings --step-max <double> Maximum (initial) search step size. [Default: 1] --step-min <double> Minimum (final) search step size. [Default: 0.1] Input and Output Options --import-bias-add <image-path> Import additive bias field (disables optimization). [Default: NONE] --import-bias-mul <image-path> Import multiplicative bias field (disables optimization). [Default: NONE] --write-bias-add <image-path> File name for output of additive bias field. [Default: NONE] --write-bias-mul <image-path> File name for output of multiplicative bias field. [Default: NONE] --write-float, -F Write output image with floating point pixel data. If this is not given, the input data type is used. Image/Transformation Database --db <string> Path to image/transformation database that should be updated with the newly created image. [Default: NONE]
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.