ITK  4.2.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Static Public Member Functions | Static Public Attributes | Protected Member Functions | Protected Attributes | Private Member Functions
itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform > Class Template Reference

#include <itkImageRegistrationMethodv4.h>

+ Inheritance diagram for itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >:
+ Collaboration diagram for itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >:

List of all members.

Public Types

typedef
CompositeTransformType::Pointer 
CompositeTransformPointer
typedef CompositeTransform
< RealType, ImageDimension
CompositeTransformType
typedef SmartPointer< const SelfConstPointer
typedef
ProcessObject::DataObjectPointerArraySizeType 
DataObjectPointerArraySizeType
typedef
DecoratedOutputTransformType::Pointer 
DecoratedOutputTransformPointer
typedef DataObjectDecorator
< OutputTransformType
DecoratedOutputTransformType
typedef
OutputTransformType::DerivativeType 
DerivativeType
typedef DerivativeType::ValueType DerivativeValueType
typedef FixedImageType::Pointer FixedImagePointer
typedef TFixedImage FixedImageType
typedef
FixedInterpolatorType::Pointer 
FixedInterpolatorPointer
typedef
InterpolateImageFunction
< FixedImageType, RealType
FixedInterpolatorType
typedef
InitialTransformType::Pointer 
InitialTransformPointer
typedef Transform< RealType,
ImageDimension, ImageDimension
InitialTransformType
typedef MetricType::Pointer MetricPointer
typedef
MetricType::FixedSampledPointSetType 
MetricSamplePointSetType
enum  MetricSamplingStrategyType {
  NONE,
  REGULAR,
  RANDOM
}
typedef ImageToImageMetricv4
< FixedImageType,
MovingImageType
MetricType
typedef MovingImageType::Pointer MovingImagePointer
typedef TMovingImage MovingImageType
typedef
MovingInterpolatorType::Pointer 
MovingInterpolatorPointer
typedef
InterpolateImageFunction
< MovingImageType, RealType
MovingInterpolatorType
typedef OptimizerType::Pointer OptimizerPointer
typedef ObjectToObjectOptimizerBase OptimizerType
typedef
OutputTransformType::Pointer 
OutputTransformPointer
typedef TOutputTransform OutputTransformType
typedef SmartPointer< SelfPointer
typedef
OutputTransformType::ScalarType 
RealType
typedef ImageRegistrationMethodv4 Self
typedef Array< SizeValueTypeShrinkFactorsArrayType
typedef Array< RealTypeSmoothingSigmasArrayType
typedef ProcessObject Superclass
typedef
TransformParametersAdaptorType::Pointer 
TransformParametersAdaptorPointer
typedef std::vector
< TransformParametersAdaptorPointer
TransformParametersAdaptorsContainerType
typedef
TransformParametersAdaptor
< OutputTransformType
TransformParametersAdaptorType

Public Member Functions

virtual ::itk::LightObject::Pointer CreateAnother (void) const
virtual const RealTypeGetCurrentConvergenceValue ()
virtual const SizeValueTypeGetCurrentIteration ()
virtual SizeValueType GetCurrentLevel () const
virtual const RealTypeGetCurrentMetricValue ()
virtual const bool & GetIsConverged ()
virtual const char * GetNameOfClass () const
virtual const
DecoratedOutputTransformType
GetOutput () const
virtual DataObjectPointer MakeOutput (DataObjectPointerArraySizeType)
void StartRegistration ()
virtual void SetFixedImage (const FixedImageType *input)
virtual const FixedImageTypeGetFixedImage () const
virtual void SetMovingImage (const MovingImageType *input)
virtual const MovingImageTypeGetMovingImage () const
virtual void SetFixedInitialTransform (InitialTransformType *_arg)
virtual const
InitialTransformType
GetFixedInitialTransform ()
virtual void SetMovingInitialTransform (InitialTransformType *_arg)
virtual const
InitialTransformType
GetMovingInitialTransform ()
virtual void SetFixedInterpolator (FixedInterpolatorType *_arg)
virtual const
FixedInterpolatorType
GetFixedInterpolator ()
virtual void SetMovingInterpolator (MovingInterpolatorType *_arg)
virtual const
MovingInterpolatorType
GetMovingInterpolator ()
virtual void SetMetric (MetricType *_arg)
virtual MetricTypeGetMetric ()
virtual void SetMetricSamplingStrategy (MetricSamplingStrategyType _arg)
virtual MetricSamplingStrategyType GetMetricSamplingStrategy () const
virtual void SetMetricSamplingPercentage (RealType _arg)
virtual RealType GetMetricSamplingPercentage () const
virtual void SetOptimizer (OptimizerType *_arg)
virtual OptimizerTypeGetOptimizer ()
void SetTransformParametersAdaptorsPerLevel (TransformParametersAdaptorsContainerType &)
const
TransformParametersAdaptorsContainerType
GetTransformParametersAdaptorsPerLevel () const
void SetNumberOfLevels (const SizeValueType)
virtual SizeValueType GetNumberOfLevels () const
virtual void SetShrinkFactorsPerLevel (ShrinkFactorsArrayType _arg)
virtual ShrinkFactorsArrayType GetShrinkFactorsPerLevel () const
virtual void SetSmoothingSigmasPerLevel (SmoothingSigmasArrayType _arg)
virtual SmoothingSigmasArrayType GetSmoothingSigmasPerLevel () const

Static Public Member Functions

static Pointer New ()

Static Public Attributes

static const unsigned int ImageDimension = TFixedImage::ImageDimension

Protected Member Functions

virtual void GenerateData ()
 ImageRegistrationMethodv4 ()
virtual void InitializeRegistrationAtEachLevel (const SizeValueType)
virtual void PrintSelf (std::ostream &os, Indent indent) const
virtual void SetMetricSamplePoints ()
virtual ~ImageRegistrationMethodv4 ()

Protected Attributes

CompositeTransformPointer m_CompositeTransform
RealType m_CurrentConvergenceValue
SizeValueType m_CurrentIteration
SizeValueType m_CurrentLevel
RealType m_CurrentMetricValue
InitialTransformPointer m_FixedInitialTransform
FixedInterpolatorPointer m_FixedInterpolator
FixedImagePointer m_FixedSmoothImage
bool m_IsConverged
MetricPointer m_Metric
RealType m_MetricSamplingPercentage
MetricSamplingStrategyType m_MetricSamplingStrategy
InitialTransformPointer m_MovingInitialTransform
MovingInterpolatorPointer m_MovingInterpolator
MovingImagePointer m_MovingSmoothImage
SizeValueType m_NumberOfLevels
OptimizerPointer m_Optimizer
OutputTransformPointer m_OutputTransform
ShrinkFactorsArrayType m_ShrinkFactorsPerLevel
SmoothingSigmasArrayType m_SmoothingSigmasPerLevel
TransformParametersAdaptorsContainerType m_TransformParametersAdaptorsPerLevel

Private Member Functions

 ImageRegistrationMethodv4 (const Self &)
void operator= (const Self &)

Detailed Description

template<typename TFixedImage, typename TMovingImage, typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
class itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >

Interface method for the current registration framework.

This interface method class encapsulates typical registration usage by incorporating all the necessary elements for performing a simple image registration between two images. This method also allows for multistage registration whereby each stage is characterize by possibly different transforms of and different image metrics. For example, many users will want to perform a linear registration followed by deformable registration where both stages are performed in multiple levels. Each level can be characterized by:

Multiple stages are handled by linking multiple instantiations of this class where the output transform is added to the optional composite transform input.

Transform adaptors: To accommodate new changes to the current ITK registration framework, we introduced the concept of transform adaptors. Whereas each stage is associated with a moving and, possibly, fixed transform, each level of each stage is defined by a transform adaptor which describes how to adapt the transform to the current level. For example, if one were to use the B-spline transform during a deformable registration stage, common practice is to increase the resolution of the B-spline mesh (or, analogously, the control point grid size) at each level. At each level, one would define the parameters of the B-spline transform adaptor at that level which increases the resolution from the previous level. For many transforms, such as affine, this concept of an adaptor may be nonsensical. For this reason, the base transform adaptor class does not do anything to the transform but merely passes it through. Each level of each stage must define a transform adaptor but, by default, the base adaptor class is assigned which, again, does not do anything to the transform. A special mention should be made of the transform adaptor at level 0 of any stage. Most likely, the user will not want to do anything to the transform as it enters into the given stage so typical use will be to assign the base adaptor class to level 0 of all stages but we leave that open to the user.

Output: The output is the updated transform which has been added to the composite transform.

Author:
Nick Tustison
Brian Avants

Definition at line 90 of file itkImageRegistrationMethodv4.h.


Member Typedef Documentation

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef CompositeTransformType::Pointer itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::CompositeTransformPointer

Definition at line 129 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef CompositeTransform<RealType, ImageDimension> itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::CompositeTransformType
template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef SmartPointer<const Self> itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::ConstPointer
template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef ProcessObject::DataObjectPointerArraySizeType itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::DataObjectPointerArraySizeType

Make a DataObject of the correct type to be used as the specified output.

Reimplemented from itk::ProcessObject.

Definition at line 250 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef DecoratedOutputTransformType::Pointer itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::DecoratedOutputTransformPointer
template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef DataObjectDecorator<OutputTransformType> itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::DecoratedOutputTransformType
template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef OutputTransformType::DerivativeType itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::DerivativeType
template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef DerivativeType::ValueType itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::DerivativeValueType
template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef FixedImageType::Pointer itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::FixedImagePointer
template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef TFixedImage itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::FixedImageType
template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef FixedInterpolatorType::Pointer itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::FixedInterpolatorPointer

Definition at line 144 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef InterpolateImageFunction<FixedImageType, RealType> itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::FixedInterpolatorType

Interpolator typedefs

Definition at line 143 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef InitialTransformType::Pointer itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::InitialTransformPointer

Definition at line 126 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef Transform<RealType, ImageDimension, ImageDimension> itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::InitialTransformType

Definition at line 125 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef MetricType::Pointer itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::MetricPointer
template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef MetricType::FixedSampledPointSetType itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::MetricSamplePointSetType

Definition at line 160 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef ImageToImageMetricv4<FixedImageType, MovingImageType> itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::MetricType
template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef MovingImageType::Pointer itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::MovingImagePointer
template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef TMovingImage itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::MovingImageType
template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef MovingInterpolatorType::Pointer itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::MovingInterpolatorPointer

Definition at line 146 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef InterpolateImageFunction<MovingImageType, RealType> itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::MovingInterpolatorType

Definition at line 145 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef OptimizerType::Pointer itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::OptimizerPointer

Definition at line 155 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef ObjectToObjectOptimizerBase itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::OptimizerType

Type of the optimizer.

Definition at line 154 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef OutputTransformType::Pointer itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::OutputTransformPointer
template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef TOutputTransform itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::OutputTransformType
template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef SmartPointer<Self> itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::Pointer
template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef OutputTransformType::ScalarType itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::RealType
template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef ImageRegistrationMethodv4 itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::Self
template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef Array<SizeValueType> itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::ShrinkFactorsArrayType

array typedef

Definition at line 139 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef Array<RealType> itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::SmoothingSigmasArrayType

Definition at line 140 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef ProcessObject itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::Superclass
template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef TransformParametersAdaptorType::Pointer itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::TransformParametersAdaptorPointer

Definition at line 150 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef std::vector<TransformParametersAdaptorPointer> itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::TransformParametersAdaptorsContainerType

Definition at line 151 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
typedef TransformParametersAdaptor<OutputTransformType> itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::TransformParametersAdaptorType

Transform adaptor typedefs

Definition at line 149 of file itkImageRegistrationMethodv4.h.


Member Enumeration Documentation

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
enum itk::ImageRegistrationMethodv4::MetricSamplingStrategyType

enum type for metric sampling strategy

Enumerator:
NONE 
REGULAR 
RANDOM 

Definition at line 158 of file itkImageRegistrationMethodv4.h.


Constructor & Destructor Documentation

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::ImageRegistrationMethodv4 ( ) [protected]
template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::~ImageRegistrationMethodv4 ( ) [protected, virtual]
template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::ImageRegistrationMethodv4 ( const Self ) [private]

Member Function Documentation

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual::itk::LightObject::Pointer itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::CreateAnother ( void  ) const [virtual]

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

Reimplemented from itk::Object.

Reimplemented in itk::TimeVaryingBSplineVelocityFieldImageRegistrationMethod< TFixedImage, TMovingImage, TOutputTransform >, itk::TimeVaryingVelocityFieldImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >, itk::SyNImageRegistrationMethod< TFixedImage, TMovingImage, TOutputTransform >, and itk::BSplineSyNImageRegistrationMethod< TFixedImage, TMovingImage, TOutputTransform >.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual void itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::GenerateData ( ) [protected, virtual]
template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual const RealType& itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::GetCurrentConvergenceValue ( ) [virtual]

Get the current convergence value. This is a helper function for reporting observations.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual const SizeValueType& itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::GetCurrentIteration ( ) [virtual]

Get the current iteration. This is a helper function for reporting observations.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual SizeValueType itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::GetCurrentLevel ( ) const [virtual]

Get the current level. This is a helper function for reporting observations.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual const RealType& itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::GetCurrentMetricValue ( ) [virtual]
template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual const FixedImageType* itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::GetFixedImage ( ) const [virtual]

Set/Get the fixed image.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual const InitialTransformType* itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::GetFixedInitialTransform ( ) [virtual]

Set/Get the initial fixed transform.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual const FixedInterpolatorType* itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::GetFixedInterpolator ( ) [virtual]

Set/Get the fixed interpolator.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual const bool& itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::GetIsConverged ( ) [virtual]

Get the current convergence state per level. This is a helper function for reporting observations.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual MetricType* itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::GetMetric ( ) [virtual]

Set/Get the metric.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual RealType itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::GetMetricSamplingPercentage ( ) const [virtual]

Set/Get the metric sampling percentage.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual MetricSamplingStrategyType itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::GetMetricSamplingStrategy ( ) const [virtual]

Set/Get the metric sampling strategy.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual const MovingImageType* itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::GetMovingImage ( ) const [virtual]

Set/Get the moving image.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual const InitialTransformType* itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::GetMovingInitialTransform ( ) [virtual]

Set/Get the initial moving transform.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual const MovingInterpolatorType* itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::GetMovingInterpolator ( ) [virtual]

Set/Get the moving interpolator.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual const char* itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::GetNameOfClass ( ) const [virtual]
template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual SizeValueType itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::GetNumberOfLevels ( ) const [virtual]

Set/Get the number of multi-resolution levels. In setting the number of levels we need to set the following for each level:

  • shrink factors for the virtual domain
  • sigma smoothing parameter
  • transform adaptor with specific parameters for the specified level
template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual OptimizerType* itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::GetOptimizer ( ) [virtual]

Set/Get the optimizer.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual const DecoratedOutputTransformType* itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::GetOutput ( ) const [virtual]

Returns the transform resulting from the registration process

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual ShrinkFactorsArrayType itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::GetShrinkFactorsPerLevel ( ) const [virtual]

Set/Get the shrink factors for each level. At each resolution level, the itkShrinkImageFilter is called. For a 256x256 image, a shrink factor of 2 reduces the image to 128x128.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual SmoothingSigmasArrayType itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::GetSmoothingSigmasPerLevel ( ) const [virtual]

Set/Get the smoothing sigmas for each level. At each resolution level, a gaussian smoothing filter (specifically, the itkDiscreteGaussianImageFilter) is applied. Sigma values are specified in physical units.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
const TransformParametersAdaptorsContainerType& itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::GetTransformParametersAdaptorsPerLevel ( ) const

Set/Get the transform adaptors.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual void itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::InitializeRegistrationAtEachLevel ( const SizeValueType  ) [protected, virtual]
template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual DataObjectPointer itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::MakeOutput ( DataObjectPointerArraySizeType  idx) [virtual]

Make a DataObject of the correct type to used as the specified output. Every ProcessObject subclass must be able to create a DataObject that can be used as a specified output. This method is automatically called when DataObject::DisconnectPipeline() is called. DataObject::DisconnectPipeline, disconnects a data object from being an output of its current source. When the data object is disconnected, the ProcessObject needs to construct a replacement output data object so that the ProcessObject is in a valid state. So DataObject::DisconnectPipeline eventually calls ProcessObject::MakeOutput. Note that MakeOutput always returns a itkSmartPointer to a DataObject. ImageSource and MeshSource override this method to create the correct type of image and mesh respectively. If a filter has multiple outputs of different types, then that filter must provide an implementation of MakeOutput().

Reimplemented from itk::ProcessObject.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
static Pointer itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::New ( ) [static]
template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
void itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::operator= ( const Self ) [private]
template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual void itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const [protected, virtual]

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::ProcessObject.

Reimplemented in itk::SyNImageRegistrationMethod< TFixedImage, TMovingImage, TOutputTransform >, itk::TimeVaryingBSplineVelocityFieldImageRegistrationMethod< TFixedImage, TMovingImage, TOutputTransform >, and itk::TimeVaryingVelocityFieldImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual void itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::SetFixedImage ( const FixedImageType input) [virtual]

Set/Get the fixed image.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual void itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::SetFixedInitialTransform ( InitialTransformType _arg) [virtual]

Set/Get the initial fixed transform.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual void itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::SetFixedInterpolator ( FixedInterpolatorType _arg) [virtual]

Set/Get the fixed interpolator.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual void itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::SetMetric ( MetricType _arg) [virtual]

Set/Get the metric.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual void itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::SetMetricSamplePoints ( ) [protected, virtual]

Get metric samples.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual void itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::SetMetricSamplingPercentage ( RealType  _arg) [virtual]

Set/Get the metric sampling percentage.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual void itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::SetMetricSamplingStrategy ( MetricSamplingStrategyType  _arg) [virtual]

Set/Get the metric sampling strategy.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual void itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::SetMovingImage ( const MovingImageType input) [virtual]

Set/Get the moving image.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual void itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::SetMovingInitialTransform ( InitialTransformType _arg) [virtual]

Set/Get the initial moving transform.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual void itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::SetMovingInterpolator ( MovingInterpolatorType _arg) [virtual]

Set/Get the moving interpolator.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
void itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::SetNumberOfLevels ( const SizeValueType  )

Set/Get the number of multi-resolution levels. In setting the number of levels we need to set the following for each level:

  • shrink factors for the virtual domain
  • sigma smoothing parameter
  • transform adaptor with specific parameters for the specified level
template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual void itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::SetOptimizer ( OptimizerType _arg) [virtual]

Set/Get the optimizer.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual void itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::SetShrinkFactorsPerLevel ( ShrinkFactorsArrayType  _arg) [virtual]

Set/Get the shrink factors for each level. At each resolution level, the itkShrinkImageFilter is called. For a 256x256 image, a shrink factor of 2 reduces the image to 128x128.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
virtual void itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::SetSmoothingSigmasPerLevel ( SmoothingSigmasArrayType  _arg) [virtual]

Set/Get the smoothing sigmas for each level. At each resolution level, a gaussian smoothing filter (specifically, the itkDiscreteGaussianImageFilter) is applied. Sigma values are specified in physical units.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
void itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::SetTransformParametersAdaptorsPerLevel ( TransformParametersAdaptorsContainerType )

Set/Get the transform adaptors.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
void itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::StartRegistration ( void  ) [inline]

Method that initiates the registration

Definition at line 247 of file itkImageRegistrationMethodv4.h.


Member Data Documentation

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
const unsigned int itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::ImageDimension = TFixedImage::ImageDimension [static]
template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
CompositeTransformPointer itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::m_CompositeTransform [protected]

Definition at line 313 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
RealType itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::m_CurrentConvergenceValue [protected]

Definition at line 290 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
SizeValueType itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::m_CurrentIteration [protected]

Definition at line 288 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
SizeValueType itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::m_CurrentLevel [protected]

Definition at line 286 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
RealType itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::m_CurrentMetricValue [protected]

Definition at line 289 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
InitialTransformPointer itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::m_FixedInitialTransform [protected]

Definition at line 297 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
FixedInterpolatorPointer itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::m_FixedInterpolator [protected]

Definition at line 299 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
FixedImagePointer itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::m_FixedSmoothImage [protected]

Definition at line 294 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
bool itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::m_IsConverged [protected]

Definition at line 291 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
MetricPointer itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::m_Metric [protected]

Definition at line 304 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
RealType itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::m_MetricSamplingPercentage [protected]

Definition at line 306 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
MetricSamplingStrategyType itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::m_MetricSamplingStrategy [protected]

Definition at line 305 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
InitialTransformPointer itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::m_MovingInitialTransform [protected]

Definition at line 296 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
MovingInterpolatorPointer itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::m_MovingInterpolator [protected]

Definition at line 300 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
MovingImagePointer itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::m_MovingSmoothImage [protected]

Definition at line 293 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
SizeValueType itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::m_NumberOfLevels [protected]

Definition at line 287 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
OptimizerPointer itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::m_Optimizer [protected]

Definition at line 302 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
OutputTransformPointer itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::m_OutputTransform [protected]

Definition at line 315 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
ShrinkFactorsArrayType itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::m_ShrinkFactorsPerLevel [protected]

Definition at line 308 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
SmoothingSigmasArrayType itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::m_SmoothingSigmasPerLevel [protected]

Definition at line 309 of file itkImageRegistrationMethodv4.h.

template<typename TFixedImage , typename TMovingImage , typename TOutputTransform = AffineTransform<double, GetImageDimension<TFixedImage>::ImageDimension>>
TransformParametersAdaptorsContainerType itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TOutputTransform >::m_TransformParametersAdaptorsPerLevel [protected]

Definition at line 311 of file itkImageRegistrationMethodv4.h.


The documentation for this class was generated from the following file: