DOKK / manpages / debian 12 / cmtk / cmtk-registrationx.1.en
registrationx(1) The Computational Morphometry Toolkit registrationx(1)

registrationx - Rigid and affine registration

registrationx ReferenceImage FloatingImage

This program performs rigid and affine image registration using multi-resolution optimization of voxel-based image similarity measures.

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).

Automatic optimization and resolution parameter generation for <n> levels [Default: 0]

Maximum optimizer step size, which determines search space exploration. [Default: 8]
Minimum optimizer step size, which determines precision. [Default: 0.1]
Factor for search step size reduction. Must be > 0.0 and < 1.0 [Default: 0.5]
Optional threshold to terminate optimization (level) if relative change of target function drops below this value. [Default: 0]

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, omit final stage in multiresolution hierarchy, thus reducing computation time.

Add number of degrees of freedom. This can be 3 (translation), 6 (rigid: translation and rotation), 7 (rigid plus global scale), 9 (rigid plus anisotropic scales), 12 (rigid plus scales plus shears), 3003 (translation plus shear), 3033 (translation, shear, and scale) or 3303 (rigid plus shears, but no scale). This option can be repeated, in which case DOFs are used for successive optimization runs in the order that they appear.
Add number of degrees of freedom for final level only [can be repeated]
Use symmetric registration functional to simultaneously estimate forward and inverse transformation. This increases ragistration time substantially but produces a result that is invariant under exchange of fixed and moving image. It may also be more robust and/or more accurate than forward-only registration.
Restrict the affine transformation to be in-plane for planes perpendicular to a given coordinate axis. Supported values: "xy", "xz", "yz", "none", where the default is "none", or use one of the following:
Transformation restricted to in-plane for 'xy' plane (perpendicular to z coordinate axis).
Transformation restricted to in-plane for 'xz' plane (perpendicular to y coordinate axis).
Transformation restricted to in-plane for 'yz' plane (perpendicular to x coordinate axis).
Full 3D affine transformation is computed. [This is the default]
Select initializer for the affine trasnformation. Supported values: "none", "fov", "com", "pax", "physical", where the default is "fov", or use one of the following:
Use input transformation, or identity transformation if none was provided.
Align centers of field of view (or crop regions) using a translation. [This is the default]
Align centers of mass using a translation.
Align images by rotation using principal axes and translation using centers of mass.
Align images by rotation using direction vectors stored in input images and translation using image origins.
Initialize transformation from given path [Default: NONE]
Invert initial transformation before initializing registration

Registration metric for motion estimation by image-to-image registration. Supported values: "nmi", "mi", "cr", "rms", "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
Root of Mean Squaresa metric (this is the square root of MSD)
Mean Squared Difference metric
Normalized Cross Correlation metric

Interpolation method for floating image sampling: Supported values: "nearest-neighbor", "linear", "cubic", "cosine-sinc", "partial-volume", "automatic", where the default is "automatic", or use one of the following:
Nearest neighbor interpolation (for intensity and label data)
Trilinear interpolation
Tricubic interpolation
Cosine-windowed sinc interpolation (most accurate but slowest)
Partial volume interpolation (for label data)
Select interpolation automatically based on data type: linear for grey-level data, nearest neighbor for label data. [This is the default]
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]

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 median filter with given radius [Default: 0]
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]
Automatic cropping based on threshold [Default: disabled]

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 median filter with given radius [Default: 0]
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]
Automatic cropping based on threshold [Default: disabled]

Output path for final transformation [Default: NONE]
Output path for final transformation in matrix format [Default: NONE]
Output path for final transformation in plain parameter list format [Default: NONE]
Optimization protocol output file name [Default: NONE]
Computation time statistics output file name [Default: NONE]

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

Path to image/transformation database that should be updated with the new registration and/or reformatted image. [Default: NONE]

Torsten Rohlfing, with contributions from Michael P. Hasak, Greg Jefferis, Calvin R. Maurer, Daniel B. Russakoff, and Yaroslav Halchenko

http://www.fsf.org/licensing/licenses/gpl.html

Report bugs at http://nitrc.org/projects/cmtk/

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.

Jun 6 2022 CMTK 3.3.1p2