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interfaces.slicer.legacy.registration

AffineRegistration

Link to code

Wraps command **AffineRegistration **

title: Affine Registration

category: Legacy.Registration

description: Registers two images together using an affine transform and mutual information. This module is often used to align images of different subjects or images of the same subject from different modalities.

This module can smooth images prior to registration to mitigate noise and improve convergence. Many of the registration parameters require a working knowledge of the algorithm although the default parameters are sufficient for many registration tasks.

version: 0.1.0.$Revision: 19608 $(alpha)

documentation-url: http://wiki.slicer.org/slicerWiki/index.php/Documentation/4.1/Modules/AffineRegistration

contributor: Daniel Blezek (GE)

acknowledgements: This module was developed by Daniel Blezek while at GE Research with contributions from Jim Miller.

This work is part of the National Alliance for Medical Image Computing (NAMIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149.

Inputs:

[Mandatory]
terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
        Control terminal output: `stream` - displays to terminal
        immediately, `allatonce` - waits till command is finished to display
        output, `file` - writes output to file, `none` - output is ignored

[Optional]
FixedImageFileName: (an existing file name)
        Fixed image to which to register
MovingImageFileName: (an existing file name)
        Moving image
args: (a string)
        Additional parameters to the command
environ: (a dictionary with keys which are a value of type 'str' and
         with values which are a value of type 'str', nipype default value:
         {})
        Environment variables
fixedsmoothingfactor: (an integer)
        Amount of smoothing applied to fixed image prior to registration.
        Default is 0 (none). Range is 0-5 (unitless). Consider smoothing the
        input data if there is considerable amounts of noise or the noise
        pattern in the fixed and moving images is very different.
histogrambins: (an integer)
        Number of histogram bins to use for Mattes Mutual Information.
        Reduce the number of bins if a registration fails. If the number of
        bins is too large, the estimated PDFs will be a field of impulses
        and will inhibit reliable registration estimation.
ignore_exception: (a boolean, nipype default value: False)
        Print an error message instead of throwing an exception in case the
        interface fails to run
initialtransform: (an existing file name)
        Initial transform for aligning the fixed and moving image. Maps
        positions in the fixed coordinate frame to positions in the moving
        coordinate frame. Optional.
iterations: (an integer)
        Number of iterations
movingsmoothingfactor: (an integer)
        Amount of smoothing applied to moving image prior to registration.
        Default is 0 (none). Range is 0-5 (unitless). Consider smoothing the
        input data if there is considerable amounts of noise or the noise
        pattern in the fixed and moving images is very different.
outputtransform: (a boolean or a file name)
        Transform calculated that aligns the fixed and moving image. Maps
        positions in the fixed coordinate frame to the moving coordinate
        frame. Optional (specify an output transform or an output volume or
        both).
resampledmovingfilename: (a boolean or a file name)
        Resampled moving image to the fixed image coordinate frame. Optional
        (specify an output transform or an output volume or both).
spatialsamples: (an integer)
        Number of spatial samples to use in estimating Mattes Mutual
        Information. Larger values yield more accurate PDFs and improved
        registration quality.
terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
        Control terminal output: `stream` - displays to terminal
        immediately, `allatonce` - waits till command is finished to display
        output, `file` - writes output to file, `none` - output is ignored
translationscale: (a float)
        Relative scale of translations to rotations, i.e. a value of 100
        means 10mm = 1 degree. (Actual scale used is
        1/(TranslationScale^2)). This parameter is used to 'weight' or
        'standardized' the transform parameters and their effect on the
        registration objective function.

Outputs:

outputtransform: (an existing file name)
        Transform calculated that aligns the fixed and moving image. Maps
        positions in the fixed coordinate frame to the moving coordinate
        frame. Optional (specify an output transform or an output volume or
        both).
resampledmovingfilename: (an existing file name)
        Resampled moving image to the fixed image coordinate frame. Optional
        (specify an output transform or an output volume or both).

BSplineDeformableRegistration

Link to code

Wraps command **BSplineDeformableRegistration **

title: BSpline Deformable Registration

category: Legacy.Registration

description: Registers two images together using BSpline transform and mutual information.

version: 0.1.0.$Revision: 19608 $(alpha)

documentation-url: http://wiki.slicer.org/slicerWiki/index.php/Documentation/4.1/Modules/BSplineDeformableRegistration

contributor: Bill Lorensen (GE)

acknowledgements: This work is part of the National Alliance for Medical Image Computing (NAMIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149.

Inputs:

[Mandatory]
terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
        Control terminal output: `stream` - displays to terminal
        immediately, `allatonce` - waits till command is finished to display
        output, `file` - writes output to file, `none` - output is ignored

[Optional]
FixedImageFileName: (an existing file name)
        Fixed image to which to register
MovingImageFileName: (an existing file name)
        Moving image
args: (a string)
        Additional parameters to the command
constrain: (a boolean)
        Constrain the deformation to the amount specified in Maximum
        Deformation
default: (an integer)
        Default pixel value used if resampling a pixel outside of the
        volume.
environ: (a dictionary with keys which are a value of type 'str' and
         with values which are a value of type 'str', nipype default value:
         {})
        Environment variables
gridSize: (an integer)
        Number of grid points on interior of the fixed image. Larger grid
        sizes allow for finer registrations.
histogrambins: (an integer)
        Number of histogram bins to use for Mattes Mutual Information.
        Reduce the number of bins if a deformable registration fails. If the
        number of bins is too large, the estimated PDFs will be a field of
        impulses and will inhibit reliable registration estimation.
ignore_exception: (a boolean, nipype default value: False)
        Print an error message instead of throwing an exception in case the
        interface fails to run
initialtransform: (an existing file name)
        Initial transform for aligning the fixed and moving image. Maps
        positions in the fixed coordinate frame to positions in the moving
        coordinate frame. This transform should be an affine or rigid
        transform. It is used an a bulk transform for the BSpline. Optional.
iterations: (an integer)
        Number of iterations
maximumDeformation: (a float)
        If Constrain Deformation is checked, limit the deformation to this
        amount.
outputtransform: (a boolean or a file name)
        Transform calculated that aligns the fixed and moving image. Maps
        positions from the fixed coordinate frame to the moving coordinate
        frame. Optional (specify an output transform or an output volume or
        both).
outputwarp: (a boolean or a file name)
        Vector field that applies an equivalent warp as the BSpline. Maps
        positions from the fixed coordinate frame to the moving coordinate
        frame. Optional.
resampledmovingfilename: (a boolean or a file name)
        Resampled moving image to fixed image coordinate frame. Optional
        (specify an output transform or an output volume or both).
spatialsamples: (an integer)
        Number of spatial samples to use in estimating Mattes Mutual
        Information. Larger values yield more accurate PDFs and improved
        registration quality.
terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
        Control terminal output: `stream` - displays to terminal
        immediately, `allatonce` - waits till command is finished to display
        output, `file` - writes output to file, `none` - output is ignored

Outputs:

outputtransform: (an existing file name)
        Transform calculated that aligns the fixed and moving image. Maps
        positions from the fixed coordinate frame to the moving coordinate
        frame. Optional (specify an output transform or an output volume or
        both).
outputwarp: (an existing file name)
        Vector field that applies an equivalent warp as the BSpline. Maps
        positions from the fixed coordinate frame to the moving coordinate
        frame. Optional.
resampledmovingfilename: (an existing file name)
        Resampled moving image to fixed image coordinate frame. Optional
        (specify an output transform or an output volume or both).

ExpertAutomatedRegistration

Link to code

Wraps command **ExpertAutomatedRegistration **

title: Expert Automated Registration

category: Legacy.Registration

description: Provides rigid, affine, and BSpline registration methods via a simple GUI

version: 0.1.0.$Revision: 2104 $(alpha)

documentation-url: http://www.slicer.org/slicerWiki/index.php/Documentation/4.1/Modules/ExpertAutomatedRegistration

contributor: Stephen R Aylward (Kitware), Casey B Goodlett (Kitware)

acknowledgements: This work is part of the National Alliance for Medical Image Computing (NAMIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149.

Inputs:

[Mandatory]
terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
        Control terminal output: `stream` - displays to terminal
        immediately, `allatonce` - waits till command is finished to display
        output, `file` - writes output to file, `none` - output is ignored

[Optional]
affineMaxIterations: (an integer)
        Maximum number of affine optimization iterations
affineSamplingRatio: (a float)
        Portion of the image to use in computing the metric during affine
        registration
args: (a string)
        Additional parameters to the command
bsplineMaxIterations: (an integer)
        Maximum number of bspline optimization iterations
bsplineSamplingRatio: (a float)
        Portion of the image to use in computing the metric during BSpline
        registration
controlPointSpacing: (an integer)
        Number of pixels between control points
environ: (a dictionary with keys which are a value of type 'str' and
         with values which are a value of type 'str', nipype default value:
         {})
        Environment variables
expectedOffset: (a float)
        Expected misalignment after initialization
expectedRotation: (a float)
        Expected misalignment after initialization
expectedScale: (a float)
        Expected misalignment after initialization
expectedSkew: (a float)
        Expected misalignment after initialization
fixedImage: (an existing file name)
        Image which defines the space into which the moving image is
        registered
fixedImageMask: (an existing file name)
        Image which defines a mask for the fixed image
fixedLandmarks: (a list of from 3 to 3 items which are a float)
        Ordered list of landmarks in the fixed image
ignore_exception: (a boolean, nipype default value: False)
        Print an error message instead of throwing an exception in case the
        interface fails to run
initialization: ('None' or 'Landmarks' or 'ImageCenters' or
         'CentersOfMass' or 'SecondMoments')
        Method to prime the registration process
interpolation: ('NearestNeighbor' or 'Linear' or 'BSpline')
        Method for interpolation within the optimization process
loadTransform: (an existing file name)
        Load a transform that is immediately applied to the moving image
metric: ('MattesMI' or 'NormCorr' or 'MeanSqrd')
        Method to quantify image match
minimizeMemory: (a boolean)
        Reduce the amount of memory required at the cost of increased
        computation time
movingImage: (an existing file name)
        The transform goes from the fixed image's space into the moving
        image's space
movingLandmarks: (a list of from 3 to 3 items which are a float)
        Ordered list of landmarks in the moving image
numberOfThreads: (an integer)
        Number of CPU threads to use
randomNumberSeed: (an integer)
        Seed to generate a consistent random number sequence
registration: ('None' or 'Initial' or 'Rigid' or 'Affine' or
         'BSpline' or 'PipelineRigid' or 'PipelineAffine' or
         'PipelineBSpline')
        Method for the registration process
resampledImage: (a boolean or a file name)
        Registration results
rigidMaxIterations: (an integer)
        Maximum number of rigid optimization iterations
rigidSamplingRatio: (a float)
        Portion of the image to use in computing the metric during rigid
        registration
sampleFromOverlap: (a boolean)
        Limit metric evaluation to the fixed image region overlapped by the
        moving image
saveTransform: (a boolean or a file name)
        Save the transform that results from registration
terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
        Control terminal output: `stream` - displays to terminal
        immediately, `allatonce` - waits till command is finished to display
        output, `file` - writes output to file, `none` - output is ignored
verbosityLevel: ('Silent' or 'Standard' or 'Verbose')
        Level of detail of reporting progress

Outputs:

resampledImage: (an existing file name)
        Registration results
saveTransform: (an existing file name)
        Save the transform that results from registration

LinearRegistration

Link to code

Wraps command **LinearRegistration **

title: Linear Registration

category: Legacy.Registration

description: Registers two images together using a rigid transform and mutual information.

version: 0.1.0.$Revision: 19608 $(alpha)

documentation-url: http://wiki.slicer.org/slicerWiki/index.php/Documentation/4.1/Modules/LinearRegistration

contributor: Daniel Blezek (GE)

acknowledgements: This work is part of the National Alliance for Medical Image Computing (NAMIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149.

Inputs:

[Mandatory]
terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
        Control terminal output: `stream` - displays to terminal
        immediately, `allatonce` - waits till command is finished to display
        output, `file` - writes output to file, `none` - output is ignored

[Optional]
FixedImageFileName: (an existing file name)
        Fixed image to which to register
MovingImageFileName: (an existing file name)
        Moving image
args: (a string)
        Additional parameters to the command
environ: (a dictionary with keys which are a value of type 'str' and
         with values which are a value of type 'str', nipype default value:
         {})
        Environment variables
fixedsmoothingfactor: (an integer)
        Amount of smoothing applied to fixed image prior to registration.
        Default is 0 (none). Range is 0-5 (unitless). Consider smoothing the
        input data if there is considerable amounts of noise or the noise
        pattern in the fixed and moving images is very different.
histogrambins: (an integer)
        Number of histogram bins to use for Mattes Mutual Information.
        Reduce the number of bins if a registration fails. If the number of
        bins is too large, the estimated PDFs will be a field of impulses
        and will inhibit reliable registration estimation.
ignore_exception: (a boolean, nipype default value: False)
        Print an error message instead of throwing an exception in case the
        interface fails to run
initialtransform: (an existing file name)
        Initial transform for aligning the fixed and moving image. Maps
        positions in the fixed coordinate frame to positions in the moving
        coordinate frame. Optional.
iterations: (an integer)
        Comma separated list of iterations. Must have the same number of
        elements as the learning rate.
learningrate: (a float)
        Comma separated list of learning rates. Learning rate is a scale
        factor on the gradient of the registration objective function
        (gradient with respect to the parameters of the transformation) used
        to update the parameters of the transformation during optimization.
        Smaller values cause the optimizer to take smaller steps through the
        parameter space. Larger values are typically used early in the
        registration process to take large jumps in parameter space followed
        by smaller values to home in on the optimum value of the
        registration objective function. Default is: 0.01, 0.005, 0.0005,
        0.0002. Must have the same number of elements as iterations.
movingsmoothingfactor: (an integer)
        Amount of smoothing applied to moving image prior to registration.
        Default is 0 (none). Range is 0-5 (unitless). Consider smoothing the
        input data if there is considerable amounts of noise or the noise
        pattern in the fixed and moving images is very different.
outputtransform: (a boolean or a file name)
        Transform calculated that aligns the fixed and moving image. Maps
        positions in the fixed coordinate frame to the moving coordinate
        frame. Optional (specify an output transform or an output volume or
        both).
resampledmovingfilename: (a boolean or a file name)
        Resampled moving image to the fixed image coordinate frame. Optional
        (specify an output transform or an output volume or both).
spatialsamples: (an integer)
        Number of spatial samples to use in estimating Mattes Mutual
        Information. Larger values yield more accurate PDFs and improved
        registration quality.
terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
        Control terminal output: `stream` - displays to terminal
        immediately, `allatonce` - waits till command is finished to display
        output, `file` - writes output to file, `none` - output is ignored
translationscale: (a float)
        Relative scale of translations to rotations, i.e. a value of 100
        means 10mm = 1 degree. (Actual scale used 1/(TranslationScale^2)).
        This parameter is used to 'weight' or 'standardized' the transform
        parameters and their effect on the registration objective function.

Outputs:

outputtransform: (an existing file name)
        Transform calculated that aligns the fixed and moving image. Maps
        positions in the fixed coordinate frame to the moving coordinate
        frame. Optional (specify an output transform or an output volume or
        both).
resampledmovingfilename: (an existing file name)
        Resampled moving image to the fixed image coordinate frame. Optional
        (specify an output transform or an output volume or both).

MultiResolutionAffineRegistration

Link to code

Wraps command **MultiResolutionAffineRegistration **

title: Robust Multiresolution Affine Registration

category: Legacy.Registration

description: Provides affine registration using multiple resolution levels and decomposed affine transforms.

version: 0.1.0.$Revision: 2104 $(alpha)

documentation-url: http://www.slicer.org/slicerWiki/index.php/Documentation/4.1/Modules/MultiResolutionAffineRegistration

contributor: Casey B Goodlett (Utah)

acknowledgements: This work is part of the National Alliance for Medical Image Computing (NAMIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149.

Inputs:

[Mandatory]
terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
        Control terminal output: `stream` - displays to terminal
        immediately, `allatonce` - waits till command is finished to display
        output, `file` - writes output to file, `none` - output is ignored

[Optional]
args: (a string)
        Additional parameters to the command
environ: (a dictionary with keys which are a value of type 'str' and
         with values which are a value of type 'str', nipype default value:
         {})
        Environment variables
fixedImage: (an existing file name)
        Image which defines the space into which the moving image is
        registered
fixedImageMask: (an existing file name)
        Label image which defines a mask of interest for the fixed image
fixedImageROI: (a list of items which are any value)
        Label image which defines a ROI of interest for the fixed image
ignore_exception: (a boolean, nipype default value: False)
        Print an error message instead of throwing an exception in case the
        interface fails to run
metricTolerance: (a float)
movingImage: (an existing file name)
        The transform goes from the fixed image's space into the moving
        image's space
numIterations: (an integer)
        Number of iterations to run at each resolution level.
numLineIterations: (an integer)
        Number of iterations to run at each resolution level.
resampledImage: (a boolean or a file name)
        Registration results
saveTransform: (a boolean or a file name)
        Save the output transform from the registration
stepSize: (a float)
        The maximum step size of the optimizer in voxels
stepTolerance: (a float)
        The maximum step size of the optimizer in voxels
terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
        Control terminal output: `stream` - displays to terminal
        immediately, `allatonce` - waits till command is finished to display
        output, `file` - writes output to file, `none` - output is ignored

Outputs:

resampledImage: (an existing file name)
        Registration results
saveTransform: (an existing file name)
        Save the output transform from the registration

RigidRegistration

Link to code

Wraps command **RigidRegistration **

title: Rigid Registration

category: Legacy.Registration

description: Registers two images together using a rigid transform and mutual information.

This module was originally distributed as “Linear registration” but has been renamed to eliminate confusion with the “Affine registration” module.

This module is often used to align images of different subjects or images of the same subject from different modalities.

This module can smooth images prior to registration to mitigate noise and improve convergence. Many of the registration parameters require a working knowledge of the algorithm although the default parameters are sufficient for many registration tasks.

version: 0.1.0.$Revision: 19608 $(alpha)

documentation-url: http://wiki.slicer.org/slicerWiki/index.php/Documentation/4.1/Modules/RigidRegistration

contributor: Daniel Blezek (GE)

acknowledgements: This module was developed by Daniel Blezek while at GE Research with contributions from Jim Miller.

This work is part of the National Alliance for Medical Image Computing (NAMIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149.

Inputs:

[Mandatory]
terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
        Control terminal output: `stream` - displays to terminal
        immediately, `allatonce` - waits till command is finished to display
        output, `file` - writes output to file, `none` - output is ignored

[Optional]
FixedImageFileName: (an existing file name)
        Fixed image to which to register
MovingImageFileName: (an existing file name)
        Moving image
args: (a string)
        Additional parameters to the command
environ: (a dictionary with keys which are a value of type 'str' and
         with values which are a value of type 'str', nipype default value:
         {})
        Environment variables
fixedsmoothingfactor: (an integer)
        Amount of smoothing applied to fixed image prior to registration.
        Default is 0 (none). Range is 0-5 (unitless). Consider smoothing the
        input data if there is considerable amounts of noise or the noise
        pattern in the fixed and moving images is very different.
histogrambins: (an integer)
        Number of histogram bins to use for Mattes Mutual Information.
        Reduce the number of bins if a registration fails. If the number of
        bins is too large, the estimated PDFs will be a field of impulses
        and will inhibit reliable registration estimation.
ignore_exception: (a boolean, nipype default value: False)
        Print an error message instead of throwing an exception in case the
        interface fails to run
initialtransform: (an existing file name)
        Initial transform for aligning the fixed and moving image. Maps
        positions in the fixed coordinate frame to positions in the moving
        coordinate frame. Optional.
iterations: (an integer)
        Comma separated list of iterations. Must have the same number of
        elements as the learning rate.
learningrate: (a float)
        Comma separated list of learning rates. Learning rate is a scale
        factor on the gradient of the registration objective function
        (gradient with respect to the parameters of the transformation) used
        to update the parameters of the transformation during optimization.
        Smaller values cause the optimizer to take smaller steps through the
        parameter space. Larger values are typically used early in the
        registration process to take large jumps in parameter space followed
        by smaller values to home in on the optimum value of the
        registration objective function. Default is: 0.01, 0.005, 0.0005,
        0.0002. Must have the same number of elements as iterations.
movingsmoothingfactor: (an integer)
        Amount of smoothing applied to moving image prior to registration.
        Default is 0 (none). Range is 0-5 (unitless). Consider smoothing the
        input data if there is considerable amounts of noise or the noise
        pattern in the fixed and moving images is very different.
outputtransform: (a boolean or a file name)
        Transform calculated that aligns the fixed and moving image. Maps
        positions in the fixed coordinate frame to the moving coordinate
        frame. Optional (specify an output transform or an output volume or
        both).
resampledmovingfilename: (a boolean or a file name)
        Resampled moving image to the fixed image coordinate frame. Optional
        (specify an output transform or an output volume or both).
spatialsamples: (an integer)
        Number of spatial samples to use in estimating Mattes Mutual
        Information. Larger values yield more accurate PDFs and improved
        registration quality.
terminal_output: ('stream' or 'allatonce' or 'file' or 'none')
        Control terminal output: `stream` - displays to terminal
        immediately, `allatonce` - waits till command is finished to display
        output, `file` - writes output to file, `none` - output is ignored
testingmode: (a boolean)
        Enable testing mode. Input transform will be used to construct
        floating image. The floating image will be ignored if passed.
translationscale: (a float)
        Relative scale of translations to rotations, i.e. a value of 100
        means 10mm = 1 degree. (Actual scale used 1/(TranslationScale^2)).
        This parameter is used to 'weight' or 'standardized' the transform
        parameters and their effect on the registration objective function.

Outputs:

outputtransform: (an existing file name)
        Transform calculated that aligns the fixed and moving image. Maps
        positions in the fixed coordinate frame to the moving coordinate
        frame. Optional (specify an output transform or an output volume or
        both).
resampledmovingfilename: (an existing file name)
        Resampled moving image to the fixed image coordinate frame. Optional
        (specify an output transform or an output volume or both).