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ImFusion SDK 4.3
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#include <ImFusion/Reg/GatedLinear4DImageRegistration.h>
Registers two volume clips using a rigid/affine transformation, including a gating phase offset between the two. More...
Registers two volume clips using a rigid/affine transformation, including a gating phase offset between the two.
Performs a non-linear optimization to find the maximum of a similarity measure that indicates an alignment of the two image sets.
Public Member Functions | |
GatedLinear4DImageRegistration (SharedImageSet *image1, SharedImageSet *image2) | |
Creates a registration that keeps image1 fixed and moves image2. | |
void | compute () override |
Starts the registration. | |
void | initializeTransformationModel () override |
Does nothing because all images already have a matrix. | |
double | evaluate (int n, const double *x, double *dx=0) override |
Assembles the matrix and calls evaluate(const mat4&). Will also. | |
int | numberOfParameters () const final |
Returns 6 for rigid and 12 for affine transformation, plus 1 if the phase offset, regardless of a gating metadata actually being there. | |
void | reset () override |
Resets the transformation of moving to its initial transformation. | |
bool | isDeformable () const override |
Returns false. | |
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ParametricImageRegistration (SharedImageSet *image1, SharedImageSet *image2, int numberOfParameters) | |
Creates a registration that keeps image1 fixed and moves image2. | |
void | compute () override |
Starts the registration. | |
virtual void | setProgress (Progress *progress) override |
Sets a Progress interface the algorithm can use to notify observers about its computing progress. | |
virtual void | setOptimizer (std::shared_ptr< Optimizer > opt) |
Sets an optimizer. | |
virtual std::shared_ptr< Optimizer > | optimizer () |
virtual bool | setReference (SharedImageSet *img) |
Specifies which of the two images will be used as a reference in the similarity measure. | |
SharedImageSet * | reference () const override |
Returns the image that will be iterated during the registration. | |
virtual SimilarityMeasureFactory & | similarityMeasureFactory () |
Returns the factory that creates the SimilarityMeasureImpl instance during the registration. | |
virtual const SimilarityMeasureFactory & | similarityMeasureFactory () const |
PreProcessingFilter | requiredPreprocessingFilter () const override |
Returns LC2_GradientMagnitude if the similarity measure is LC2 or None otherwise. | |
virtual void | setPreApplyTransformation (bool enable) |
If set the transformation will be pre-applied before computing the similarity. | |
virtual bool | preApplyTransformation () const |
void | setSimilarityMeasure (SimilarityMeasureFactory::Mode mode) |
Convenient method to set the similarity measure. | |
SimilarityMeasureFactory::Mode | similarityMeasure () const |
void | setPointCorrespondences (PointCorr *pc) |
Set a point correspondences class instance to use as error function or clear it (ownership not transferred) | |
void | setReInitialize (bool flag) |
Specify whether similarity measure and transformation shaders shall be re-initialized every time compute is called (on by default) | |
void | setRelativeToWorld (bool flag) |
Sets whether the relative transformation is applied in world or image coordinates. | |
bool | isRelativeToWorld () const |
Returns whether the relative transformation is applied in world (true) or image coordinates (false) | |
bool | isAffine () const |
Returns true if the optimizer uses affine parameters or false otherwise. | |
void | setAffine (bool affine) |
void | setReferenceCoordinateSystem (const mat4 &mat) |
Set a reference coordinate system to use with the linear transformation. | |
void | setWeights (const SharedImage *weights1, const SharedImage *weights2) |
Set optional weight images which will be passed on to the similarity measure class. | |
void | setErrorFunction (ErrorFunction *ef) |
Set an optional error function that is also used to penalize the image similarity during registration. | |
int | numberOfLinearParameters () const |
Return the number of parameters for the linear transformation model. | |
double | overlap () const |
Return the last overlap computed by the similarity measure (0..1), i.e. the fraction of used pixels/voxels wrt. the fixed image. | |
virtual double | bestSimilarityValue () const override |
Returns the best value of the similarity measure after optimization (may return NaN if algorithm is not intialized) | |
void | configure (const Properties *p) override |
Configures the registration. | |
void | configuration (Properties *p) const override |
Gets the configuration of the registration. | |
void | setDefaultOptimizer () |
Sets the optimizer to the optimizer created by createDefaultOptimizer | |
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AbstractImageRegistration (SharedImageSet *image1, SharedImageSet *image2) | |
virtual SharedImageSet * | image1 () const |
virtual SharedImageSet * | image2 () const |
virtual void | setImage1 (SharedImageSet *img) |
virtual void | setImage2 (SharedImageSet *img) |
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Algorithm () | |
Default constructor will registers a single "compute" action that calls compute() and returns status(). | |
virtual OwningDataList | takeOutput () |
Return any new Data that was created by the Algorithm during the last call to compute(). | |
Progress * | progress () const |
Returns the progress interface if set. | |
virtual int | status () const |
Indicates the status of the last call to compute(). | |
virtual bool | survivesDataDeletion (const Data *) const |
Indicates whether the algorithm can handle (partial) deletion of the specified data, by default this checks whether the data is in the input list. | |
const FactoryInfo & | factoryInfo () const |
Returns the record describing how this Algorithm was instantiated by the AlgorithmFactory. | |
void | setFactoryInfo (const FactoryInfo &value) |
Sets the record describing how this Algorithm was instantiated by the AlgorithmFactory. | |
Status | runAction (const std::string &id) |
Run the action with name id if it exists. | |
const std::vector< Action > & | actions () |
Get a mapping from Action id to Action as registered in this algorithm. | |
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virtual void | configureDefaults () |
Retrieve the properties of this object, replaces values with their defaults and sets it again. | |
void | registerParameter (ParameterBase *param) |
Register the given Parameter or SubProperty, so that it will be configured during configure()/configuration(). | |
void | unregisterParameter (const ParameterBase *param) |
Remove the given Parameter or SubProperty from the list of registered parameters. | |
Configurable (const Configurable &rhs) | |
Configurable (Configurable &&rhs) noexcept | |
Configurable & | operator= (const Configurable &) |
Configurable & | operator= (Configurable &&) noexcept |
Static Public Member Functions | |
static bool | createCompatible (const DataList &data, Algorithm **a=0) |
Expects two volume sets. | |
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static bool | createCompatible (const DataList &data, Algorithm **a=nullptr) |
Factory function to check algorithm compatibility with input data and optionally instantiate it. | |
Additional Inherited Members | |
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enum | PreProcessingFilter { None , LC2_GradientMagnitude } |
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enum | Status { Unknown = -1 , Success = 0 , Error = 1 , InvalidInput , IncompleteInput , OutOfMemoryHost , OutOfMemoryGPU , UnsupportedGPU , UnknownAction , AbortedByUser , User = 1000 } |
Status codes. More... | |
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Signal | signalOutputChanged |
Signal should be emitted by Algorithms when their output/result has changed. | |
Signal | signalParametersChanged |
Signal should be emitted by Algorithms when their parameter configuration has changed. | |
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Signal | signalParametersChanged |
Emitted whenever one of the registered Parameters' or SubPropertys' signalValueChanged signal was emitted. | |
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std::shared_ptr< Optimizer > | createDefaultOptimizer (int numParameters) const |
Returns a default optimizer with the given number if parameters. | |
mat4 | updateLinearTransform (int n, const double *x) |
Compute the linear homogenous moving image transformation from optimization parameters. | |
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bool | complainAboutDeformationOnFixedImage () |
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void | loadDefaults () |
void | registerAction (const std::string &id, const std::string &guiName, const std::function< Algorithm::Status(void)> &action) |
Register an action to be run via runAction. | |
template<typename D> | |
void | registerAction (const std::string &id, const std::string &guiName, Algorithm::Status(D::*action)(void)) |
Template version of runAction that can be used with a pointer to a member function. | |
void | registerAction (const Action &action) |
Register an action. | |
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std::shared_ptr< Optimizer > | m_opt |
NOTE: A default optimizer will be created by configure if no instance is already set. | |
SimilarityMeasureFactory | m_smFactory |
SimilarityMeasureImpl * | m_sm |
Actual similarity measure instance, only set during compute. | |
bool | m_smIterate1 |
bool | m_preApplyTransformation |
bool | m_reInit |
Re-initialize transformation and similarity measure every time compute is called. | |
double | m_overlap |
const SharedImage * | m_weights1 |
const SharedImage * | m_weights2 |
SharedImage * | m_resampled |
the moving image with pre-applied transformation, only set during compute and if m_preApplyTransformation is true | |
ImageTransformer * | m_transformer |
capsulates the transformation, only set during compute | |
PointCorr * | m_pointCorr |
Point correspondences instance if available. | |
ErrorFunction * | m_errorFunc |
Optional error function also used to penalize similarity. | |
mat4 | m_initMat |
Initial registration matrix for linear transformation model. | |
mat4 | m_resetMat |
Unmodified matrix of the moving image for reseting. | |
mat4 | m_refCoord |
Reference coordinate system to use with linear transformation. | |
bool | m_relWorld |
Apply relative transformation wrt. world coordinates for linear model. | |
int | m_affine |
0=rigid, 1=affine, 2=rigid then affine (2 only supported through configurable interface) | |
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SharedImageSet * | m_image1 |
First image of the registration. | |
SharedImageSet * | m_image2 |
Second image of the registration. | |
PointCorrAlgorithm * | m_pcAlg |
Optional point correspondences for evaluation. | |
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std::string | m_name |
Algorithm name. | |
Progress * | m_progress = nullptr |
Non-owing pointer to a progress interface. May be a nullptr. | |
FactoryInfo | m_factoryInfo = {} |
Record describing how this algorithm was instantiated by the AlgorithmFactory. | |
int | m_status = Status::Unknown |
Algorithm status after last call to compute() | |
std::vector< Action > | m_actions |
Map of key given by the id of the action, of the available actions of this algorithm. | |
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std::vector< Param > | m_params |
List of all registered Parameter and SubProperty instances. | |
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overridevirtual |
Starts the registration.
Implements Algorithm.
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overridevirtual |
Does nothing because all images already have a matrix.
Implements AbstractImageRegistration.
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overridevirtual |
Assembles the matrix and calls evaluate(const mat4&). Will also.
Implements ParametricImageRegistration.
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finalvirtual |
Returns 6 for rigid and 12 for affine transformation, plus 1 if the phase offset, regardless of a gating metadata actually being there.
(Only at the start of the registration, compute() looks for a suitable gating metadata.) Since it is called in the constructor, it is defined final.
Implements ParametricImageRegistration.
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overridevirtual |
Resets the transformation of moving to its initial transformation.
Implements AbstractImageRegistration.
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overridevirtual |
Returns false.
Implements AbstractImageRegistration.