ITK
5.0.0
Insight Segmentation and Registration Toolkit
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#include <itkRegistrationParameterScalesEstimator.h>
Implements a registration helper class for estimating scales of transform parameters and step sizes.
Its input is a metric, from which the fixed/moving images and transform objects are obtained.
This class implements some common methods as building blocks called by subclasses with various estimation strategies. One of these methods is SampleVirtualDomain, which provides various choices of sampling the image domain.
Definition at line 54 of file itkRegistrationParameterScalesEstimator.h.
Public Types | |
using | ConstPointer = SmartPointer< const Self > |
using | FixedTransformConstPointer = typename FixedTransformType::ConstPointer |
using | FixedTransformType = typename MetricType::FixedTransformType |
using | FloatType = typename Superclass::FloatType |
using | JacobianType = typename TMetric::JacobianType |
using | MetricConstPointer = typename MetricType::ConstPointer |
using | MetricPointer = typename MetricType::Pointer |
using | MetricType = TMetric |
using | MovingTransformConstPointer = typename MovingTransformType::ConstPointer |
using | MovingTransformType = typename MetricType::MovingTransformType |
using | ParametersType = typename Superclass::ParametersType |
using | Pointer = SmartPointer< Self > |
using | SamplePointContainerType = std::vector< VirtualPointType > |
enum | SamplingStrategyType { FullDomainSampling = 0, CornerSampling, RandomSampling, CentralRegionSampling, VirtualDomainPointSetSampling } |
using | ScalesType = typename Superclass::ScalesType |
using | Self = RegistrationParameterScalesEstimator |
using | Superclass = OptimizerParameterScalesEstimatorTemplate< typename TMetric::ParametersValueType > |
using | VirtualImageConstPointer = typename TMetric::VirtualImageConstPointer |
using | VirtualImagePointer = typename TMetric::VirtualImagePointer |
using | VirtualImageType = typename TMetric::VirtualImageType |
using | VirtualIndexType = typename TMetric::VirtualIndexType |
using | VirtualPointSetPointer = typename TMetric::VirtualPointSetPointer |
using | VirtualPointSetType = typename TMetric::VirtualPointSetType |
using | VirtualPointType = typename TMetric::VirtualPointType |
using | VirtualRegionType = typename TMetric::VirtualRegionType |
using | VirtualSizeType = typename TMetric::VirtualSizeType |
using | VirtualSpacingType = typename TMetric::VirtualSpacingType |
Public Types inherited from itk::OptimizerParameterScalesEstimatorTemplate< TMetric::ParametersValueType > | |
using | ConstPointer = SmartPointer< const Self > |
using | FloatType = TMetric::ParametersValueType |
using | ParametersType = OptimizerParameters< TMetric::ParametersValueType > |
using | Pointer = SmartPointer< Self > |
using | ScalesType = OptimizerParameters< TMetric::ParametersValueType > |
using | Self = OptimizerParameterScalesEstimatorTemplate |
using | Superclass = Object |
Public Types inherited from itk::Object | |
using | ConstPointer = SmartPointer< const Self > |
using | Pointer = SmartPointer< Self > |
using | Self = Object |
using | Superclass = LightObject |
Public Types inherited from itk::LightObject | |
using | ConstPointer = SmartPointer< const Self > |
using | Pointer = SmartPointer< Self > |
using | Self = LightObject |
Public Member Functions | |
void | EstimateLocalStepScales (const ParametersType &step, ScalesType &localStepScales) override=0 |
FloatType | EstimateMaximumStepSize () override |
void | EstimateScales (ScalesType &scales) override=0 |
FloatType | EstimateStepScale (const ParametersType &step) override=0 |
virtual const char * | GetNameOfClass () const |
virtual void | SetCentralRegionRadius (IndexValueType _arg) |
virtual void | SetMetric (MetricType *_arg) |
virtual void | SetScalesSamplingStrategy () |
virtual void | SetStepScaleSamplingStrategy () |
virtual void | SetTransformForward (bool _arg) |
virtual bool | GetTransformForward () const |
virtual void | SetVirtualDomainPointSet (VirtualPointSetType *_arg) |
virtual void | SetVirtualDomainPointSet (const VirtualPointSetType *_arg) |
virtual const VirtualPointSetType * | GetVirtualDomainPointSet () const |
Public Member Functions inherited from itk::OptimizerParameterScalesEstimatorTemplate< TMetric::ParametersValueType > | |
virtual void | EstimateLocalStepScales (const ParametersType &step, ScalesType &localStepScales)=0 |
virtual void | EstimateScales (ScalesType &scales)=0 |
virtual FloatType | EstimateStepScale (const ParametersType &step)=0 |
Public Member Functions inherited from itk::Object | |
unsigned long | AddObserver (const EventObject &event, Command *) |
unsigned long | AddObserver (const EventObject &event, Command *) const |
LightObject::Pointer | CreateAnother () const override |
virtual void | DebugOff () const |
virtual void | DebugOn () const |
Command * | GetCommand (unsigned long tag) |
bool | GetDebug () const |
MetaDataDictionary & | GetMetaDataDictionary () |
const MetaDataDictionary & | GetMetaDataDictionary () const |
virtual ModifiedTimeType | GetMTime () const |
virtual const TimeStamp & | GetTimeStamp () const |
bool | HasObserver (const EventObject &event) const |
void | InvokeEvent (const EventObject &) |
void | InvokeEvent (const EventObject &) const |
virtual void | Modified () const |
void | Register () const override |
void | RemoveAllObservers () |
void | RemoveObserver (unsigned long tag) |
void | SetDebug (bool debugFlag) const |
void | SetReferenceCount (int) override |
void | UnRegister () const noexceptoverride |
void | SetMetaDataDictionary (const MetaDataDictionary &rhs) |
void | SetMetaDataDictionary (MetaDataDictionary &&rrhs) |
virtual void | SetObjectName (std::string _arg) |
virtual const std::string & | GetObjectName () const |
Public Member Functions inherited from itk::LightObject | |
virtual void | Delete () |
virtual int | GetReferenceCount () const |
itkCloneMacro (Self) | |
void | Print (std::ostream &os, Indent indent=0) const |
Static Public Attributes | |
static constexpr SizeValueType | FixedDimension = TMetric::FixedDimension |
static constexpr SizeValueType | MovingDimension = TMetric::MovingDimension |
static constexpr SizeValueType | VirtualDimension = TMetric::VirtualDimension |
Protected Attributes | |
IndexValueType | m_CentralRegionRadius |
MetricPointer | m_Metric |
SizeValueType | m_NumberOfRandomSamples |
SamplePointContainerType | m_SamplePoints |
TimeStamp | m_SamplingTime |
VirtualPointSetType::ConstPointer | m_VirtualDomainPointSet |
Protected Attributes inherited from itk::LightObject | |
std::atomic< int > | m_ReferenceCount |
Static Protected Attributes | |
static constexpr SizeValueType | SizeOfSmallDomain = 1000 |
Private Attributes | |
SamplingStrategyType | m_SamplingStrategy |
bool | m_TransformForward |
Additional Inherited Members | |
Static Public Member Functions inherited from itk::Object | |
static bool | GetGlobalWarningDisplay () |
static void | GlobalWarningDisplayOff () |
static void | GlobalWarningDisplayOn () |
static Pointer | New () |
static void | SetGlobalWarningDisplay (bool flag) |
Static Public Member Functions inherited from itk::LightObject | |
static void | BreakOnError () |
static Pointer | New () |
using itk::RegistrationParameterScalesEstimator< TMetric >::ConstPointer = SmartPointer<const Self> |
Definition at line 64 of file itkRegistrationParameterScalesEstimator.h.
using itk::RegistrationParameterScalesEstimator< TMetric >::FixedTransformConstPointer = typename FixedTransformType::ConstPointer |
Definition at line 84 of file itkRegistrationParameterScalesEstimator.h.
using itk::RegistrationParameterScalesEstimator< TMetric >::FixedTransformType = typename MetricType::FixedTransformType |
Type of the transform to initialize
Definition at line 83 of file itkRegistrationParameterScalesEstimator.h.
using itk::RegistrationParameterScalesEstimator< TMetric >::FloatType = typename Superclass::FloatType |
Type of float
Definition at line 76 of file itkRegistrationParameterScalesEstimator.h.
using itk::RegistrationParameterScalesEstimator< TMetric >::JacobianType = typename TMetric::JacobianType |
Type of Jacobian of transform.
Definition at line 116 of file itkRegistrationParameterScalesEstimator.h.
using itk::RegistrationParameterScalesEstimator< TMetric >::MetricConstPointer = typename MetricType::ConstPointer |
Definition at line 80 of file itkRegistrationParameterScalesEstimator.h.
using itk::RegistrationParameterScalesEstimator< TMetric >::MetricPointer = typename MetricType::Pointer |
Definition at line 79 of file itkRegistrationParameterScalesEstimator.h.
using itk::RegistrationParameterScalesEstimator< TMetric >::MetricType = TMetric |
Definition at line 78 of file itkRegistrationParameterScalesEstimator.h.
using itk::RegistrationParameterScalesEstimator< TMetric >::MovingTransformConstPointer = typename MovingTransformType::ConstPointer |
Definition at line 87 of file itkRegistrationParameterScalesEstimator.h.
using itk::RegistrationParameterScalesEstimator< TMetric >::MovingTransformType = typename MetricType::MovingTransformType |
Definition at line 86 of file itkRegistrationParameterScalesEstimator.h.
using itk::RegistrationParameterScalesEstimator< TMetric >::ParametersType = typename Superclass::ParametersType |
Type of parameters of the optimizer
Definition at line 73 of file itkRegistrationParameterScalesEstimator.h.
using itk::RegistrationParameterScalesEstimator< TMetric >::Pointer = SmartPointer<Self> |
Definition at line 63 of file itkRegistrationParameterScalesEstimator.h.
using itk::RegistrationParameterScalesEstimator< TMetric >::SamplePointContainerType = std::vector<VirtualPointType> |
Definition at line 113 of file itkRegistrationParameterScalesEstimator.h.
using itk::RegistrationParameterScalesEstimator< TMetric >::ScalesType = typename Superclass::ScalesType |
Type of scales
Definition at line 70 of file itkRegistrationParameterScalesEstimator.h.
using itk::RegistrationParameterScalesEstimator< TMetric >::Self = RegistrationParameterScalesEstimator |
Standard class type aliases.
Definition at line 61 of file itkRegistrationParameterScalesEstimator.h.
using itk::RegistrationParameterScalesEstimator< TMetric >::Superclass = OptimizerParameterScalesEstimatorTemplate<typename TMetric::ParametersValueType> |
Definition at line 62 of file itkRegistrationParameterScalesEstimator.h.
using itk::RegistrationParameterScalesEstimator< TMetric >::VirtualImageConstPointer = typename TMetric::VirtualImageConstPointer |
Definition at line 95 of file itkRegistrationParameterScalesEstimator.h.
using itk::RegistrationParameterScalesEstimator< TMetric >::VirtualImagePointer = typename TMetric::VirtualImagePointer |
Definition at line 96 of file itkRegistrationParameterScalesEstimator.h.
using itk::RegistrationParameterScalesEstimator< TMetric >::VirtualImageType = typename TMetric::VirtualImageType |
Definition at line 94 of file itkRegistrationParameterScalesEstimator.h.
using itk::RegistrationParameterScalesEstimator< TMetric >::VirtualIndexType = typename TMetric::VirtualIndexType |
Definition at line 101 of file itkRegistrationParameterScalesEstimator.h.
using itk::RegistrationParameterScalesEstimator< TMetric >::VirtualPointSetPointer = typename TMetric::VirtualPointSetPointer |
Definition at line 104 of file itkRegistrationParameterScalesEstimator.h.
using itk::RegistrationParameterScalesEstimator< TMetric >::VirtualPointSetType = typename TMetric::VirtualPointSetType |
Definition at line 103 of file itkRegistrationParameterScalesEstimator.h.
using itk::RegistrationParameterScalesEstimator< TMetric >::VirtualPointType = typename TMetric::VirtualPointType |
Definition at line 100 of file itkRegistrationParameterScalesEstimator.h.
using itk::RegistrationParameterScalesEstimator< TMetric >::VirtualRegionType = typename TMetric::VirtualRegionType |
Definition at line 98 of file itkRegistrationParameterScalesEstimator.h.
using itk::RegistrationParameterScalesEstimator< TMetric >::VirtualSizeType = typename TMetric::VirtualSizeType |
Definition at line 99 of file itkRegistrationParameterScalesEstimator.h.
using itk::RegistrationParameterScalesEstimator< TMetric >::VirtualSpacingType = typename TMetric::VirtualSpacingType |
Definition at line 97 of file itkRegistrationParameterScalesEstimator.h.
enum itk::RegistrationParameterScalesEstimator::SamplingStrategyType |
The strategies to sample physical points in the virtual domain.
Enumerator | |
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FullDomainSampling | |
CornerSampling | |
RandomSampling | |
CentralRegionSampling | |
VirtualDomainPointSetSampling |
Definition at line 107 of file itkRegistrationParameterScalesEstimator.h.
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Check the metric and the transforms.
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Check if the transform is a general affine transform that maps a line segment to a line segment.
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The templated version of CheckGeneralAffineTransform to check if the transform is a general affine transform that maps a line segment to a line segment.
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Compute the transform Jacobian at a physical point.
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Estimate the scales of local steps.
Implemented in itk::RegistrationParameterScalesFromJacobian< TMetric >, and itk::RegistrationParameterScalesFromShiftBase< TMetric >.
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Estimate the trusted scale for steps. It returns the voxel spacing.
Implements itk::OptimizerParameterScalesEstimatorTemplate< TMetric::ParametersValueType >.
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Estimate parameter scales
Implemented in itk::RegistrationParameterScalesFromJacobian< TMetric >, and itk::RegistrationParameterScalesFromShiftBase< TMetric >.
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Estimate the step scale, the impact of a step on deformation.
Implemented in itk::RegistrationParameterScalesFromJacobian< TMetric >, and itk::RegistrationParameterScalesFromShiftBase< TMetric >.
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Get the dimension of the target transformed to.
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Run-time type information (and related methods).
Reimplemented from itk::OptimizerParameterScalesEstimatorTemplate< TMetric::ParametersValueType >.
Reimplemented in itk::RegistrationParameterScalesFromJacobian< TMetric >, itk::RegistrationParameterScalesFromShiftBase< TMetric >, itk::RegistrationParameterScalesFromIndexShift< TMetric >, and itk::RegistrationParameterScalesFromPhysicalShift< TMetric >.
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Get the number of local parameters.
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Get the current sampling strategy. Note that this is changed internally as the class is used for scale or step estimation.
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Get the transform in use.
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m_TransformForward specifies which transform scales to be estimated. m_TransformForward = true (default) for the moving transform parameters. m_TransformForward = false for the fixed transform parameters.
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Get the central index of the virtual domain.
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Get the central region of the virtual domain.
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Get/Set a point set for virtual domain sampling.
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Check if the transform being optimized is a B-spline transform.
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Check if the transform being optimized is a displacement field transform.
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Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.
Reimplemented from itk::Object.
Reimplemented in itk::RegistrationParameterScalesFromJacobian< TMetric >, itk::RegistrationParameterScalesFromShiftBase< TMetric >, itk::RegistrationParameterScalesFromIndexShift< TMetric >, and itk::RegistrationParameterScalesFromPhysicalShift< TMetric >.
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Sample the virtual domain and store the physical points in m_SamplePoints.
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Sample the virtual domain with all pixels.
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Sample the virtual domain randomly in a uniform distribution.
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Sample the virtual domain with voxel in the central region.
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Sample the virtual domain with corners.
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Sample the virtual domain with a point set
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Sample the virtual domain with all voxels inside a region.
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the radius of the central region for sampling.
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SetMetric sets the metric used in the estimation process. The transforms from the metric will be used for estimation, along with the images when appropriate.
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Set and get the number of samples.
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Set the sampling strategy. This is called from SetScalesSamplingStrategy() and SetStepScaleSamplingStrategy().
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Set the sampling strategy automatically for scales estimation.
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Set the sampling strategy automatically for step scale estimation.
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m_TransformForward specifies which transform scales to be estimated. m_TransformForward = true (default) for the moving transform parameters. m_TransformForward = false for the fixed transform parameters.
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Get/Set a point set for virtual domain sampling.
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Get/Set a point set for virtual domain sampling.
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Check if the transform being optimized has local support.
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Transform a physical point to a new physical point.
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Transform a point to its continuous index.
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Update the transform with a change in parameters.
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dimension accessors
Definition at line 90 of file itkRegistrationParameterScalesEstimator.h.
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the radius of the central region for sampling
Definition at line 262 of file itkRegistrationParameterScalesEstimator.h.
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the metric object
Definition at line 250 of file itkRegistrationParameterScalesEstimator.h.
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the number of samples in the virtual domain
Definition at line 259 of file itkRegistrationParameterScalesEstimator.h.
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the samples in the virtual domain
Definition at line 253 of file itkRegistrationParameterScalesEstimator.h.
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Definition at line 277 of file itkRegistrationParameterScalesEstimator.h.
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Keep track of the last sampling time.
Definition at line 256 of file itkRegistrationParameterScalesEstimator.h.
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m_TransformForward specifies which transform scales to be estimated. m_TransformForward = true (default) for the moving transform parameters. m_TransformForward = false for the fixed transform parameters.
Definition at line 274 of file itkRegistrationParameterScalesEstimator.h.
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Definition at line 264 of file itkRegistrationParameterScalesEstimator.h.
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Definition at line 91 of file itkRegistrationParameterScalesEstimator.h.
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Definition at line 267 of file itkRegistrationParameterScalesEstimator.h.
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Definition at line 92 of file itkRegistrationParameterScalesEstimator.h.