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warp(1) The Computational Morphometry Toolkit warp(1)

NAME

warp - B-spline nonrigid registration

SYNOPSIS

warp ReferenceImage FloatingImage InitialXform

DESCRIPTION

This program performs nonrigid image registration using multi-resolution optimization of voxel-based image similarity measures and a multi-resolution B-spline transformation model.

OPTIONS

Global Toolkit Options (these are shared by all CMTK tools)

Write list of basic command line options to standard output.
Write complete list of basic and advanced command line options to standard output.
Write list of command line options to standard output in MediaWiki markup.
Write man page source in 'nroff' markup to standard output.
Write command line syntax specification in XML markup (for Slicer integration).
Write toolkit version to standard output.
Write the current command line to standard output.
Set verbosity level.
Increment verbosity level by 1 (deprecated; supported for backward compatibility).
Set maximum number of parallel threads (for POSIX threads and OpenMP).

Transformation import/export

Initialize transformation from given path [Default: NONE]
Output path for final transformation in ITK format [Default: NONE]
Write reformatted floating image. [Default: NONE]

Transformation parameters

Control point grid spacing [Default: 15]
Use exact control point spacing; do not modify spacing to fit reference image bounding box
Number of refinements (control point grid resolution levels) [Default: 0]
Delay control point grid refinement; first switch to next higher image resolution
Ignore n control point layers along each image face [Default: 0]
Restrict deformation to coordinate dimension(s) [one or more of 'x','y','z'] [Default: NONE]
Disable adaptive fixing of control points; optimize all deformation parameters
Threshold factor for entropy criterion to fix local control points [Default: 0.5]
Accurate computation mode: may give slightly better results after substantially longer computation [This is the default]
Fast computation mode: may give slightly worse results than accurate mode, but saves substantial CPU time
Switch reference and floating image

Regularization parameters

Weight for Jacobian-based local volume preservation constraint [Default: 0]
Weight for grid bending energy constraint [Default: 0]
Weight for local rigidity constraint [Default: 0]
Weight for inverse consistency constraint [Default: 0]
Weight relaxation factor for alternating under-constrained iterations [Default: -1]
Before each resolution level, regularize negative-Jacobian areas of the deformation to unfold them.

Optimization parameters

Search space exploration (initial step size) [Default: -1]
Search accuracy (initial step size) [Default: -1]
Factor for search step size reduction. Must be > 0.0 and < 1.0 [default: 0.5] [Default: 0.5]
Optional threshold to terminate optimization (level) if relative change of target function drops below this value. [Default: 0]
Use Euclid norm for gradient normalication in optimization, rather than maximum norm

Image resolution parameters

Image sampling (finest resampled image resolution) [Default: -1]
Upper limit for image sampling in multiresolution hierarchy [Default: -1]
Do not use original data in full resolution for final registration stage.

Image data

Registration metric for motion estimation by image-to-image registration. Supported values: "nmi", "mi", "cr", "msd", "ncc", where the default is "nmi", or use one of the following:
Normalized Mutual Information metric [This is the default]
Standard Mutual Information metric
Correlation Ratio metric
Mean Squared Difference metric
Normalized Cross Correlation metric
Match floating image histogram to reference image histogram.
Force values outside field of view to this value rather than drop incomplete pixel pairs [Default: disabled]

Reference Image Preprocessing

Data class: grey (default) or label [Default: NONE]
Padding value [Default: disabled]
Minimum value truncation threshold [Default: disabled]
Maximum value truncation threshold [Default: disabled]
Number of bins for histogram-based pruning [Default: disabled]
Apply histogram equalization
Apply Sobel edge detection filter
Cropping region in pixel index coordinates [parsed as %d,%d,%d,%d,%d,%d for i0,j0,k0,i1,j1,k1] [Default: NONE]
Cropping region in world coordinates [parsed as %f,%f,%f,%f,%f,%f for x0,y0,z0,x1,y1,z1] [Default: NONE]

Floating Image Preprocessing

Data class: grey (default) or label [Default: NONE]
Padding value [Default: disabled]
Minimum value truncation threshold [Default: disabled]
Maximum value truncation threshold [Default: disabled]
Number of bins for histogram-based pruning [Default: disabled]
Apply histogram equalization
Apply Sobel edge detection filter
Cropping region in pixel index coordinates [parsed as %d,%d,%d,%d,%d,%d for i0,j0,k0,i1,j1,k1] [Default: NONE]
Cropping region in world coordinates [parsed as %f,%f,%f,%f,%f,%f for x0,y0,z0,x1,y1,z1] [Default: NONE]

Output parameters

Output path for final transformation [Default: NONE]
Optimization protocol output file name [Default: NONE]
Computation time statistics output file name [Default: NONE]
Write transformation for each level [default: only write final transformation]

Image/Transformation Database

Path to image/transformation database that should be updated with the new registration and/or reformatted 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.

Nov 13 2020 CMTK 3.3.1p1