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PROGRAM:

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

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