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mcaffine - Multi-channel affine registration

mcaffine(1) The Computational Morphometry Toolkit mcaffine(1)

NAME

mcaffine - Multi-channel affine registration

SYNOPSIS

mcaffine [options] refChannel0 [refChannel1 ...] -- fltChannel0 [fltChannel1 ...]

DESCRIPTION

Multi-channel affine image registration using histogram-based or covariance-based joint entropy measures

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).

Main Options

--out-archive <string>, -o <string>
Output archive path. [Default: NONE]
--initial-xform <string>
Optional path of a file with the initial transformation. [Default: NONE]
--downsample-from <integer>, -d <integer>
Initial downsampling factor [1]. [Default: 1]
--downsample-to <integer>, -D <integer>
Final downsampling factor [1]. Factor 0 is full resolution with smoothing turned off [Default: 1]
--smooth <float>
Sigma of Gaussian smoothing kernel in multiples of template image pixel size [default: off] ) [Default: 0]
--downsample-average <boolean>
Downsample using sliding-window averaging [default: off] ) [Default: 0]
--dofs <integer>[,<integer>,...]
Set sequence of numbers of DOFs for optimization schedule [can be repeated]. Supported values are: 0, 3, 6, 7, 9, 12.
--nmi
Use normalized mutual information metric [default] [This is the default]
--mi
Use standard mutual information metric
--histograms, -H
Use multi-dimensional histograms to compute entropies [default] [This is the default]
--covariance, -C
Use covariance matrix determinants to compute entropies
--cubic, -c
Use cubic interpolation [default: linear]
--initial-step-size <double>
Initial optimizer step size in pixels. [Default: 1]
--final-step-size <double>
Initial optimizer step size in pixels. [Default: 0.125]
--delta-f-threshold <double>
Optional threshold to terminate optimization (level) if relative change of target function drops below this value. [Default: 0]
--crop-reference-from-index <string>
Crop reference image from index x,y,z. [Default: NONE]
--crop-reference-to-index <string>
Crop reference image to index x,y,z. [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.
Sep 11 2017 CMTK 3.3.1