Interface method for the current registration framework. More...

#include <itkImageRegistrationMethodv4.h>

Inheritance diagram for itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TTransform >:

Collaboration diagram for itk::ImageRegistrationMethodv4< TFixedImage, TMovingImage, TTransform >:

Public Types
typedef CompositeTransformType::Pointer	CompositeTransformPointer
typedef CompositeTransform < RealType, ImageDimension >	CompositeTransformType
typedef SmartPointer< const Self >	ConstPointer
typedef ProcessObject::DataObjectPointerArraySizeType	DataObjectPointerArraySizeType
typedef TransformType::DerivativeType	DerivativeType
typedef DerivativeType::ValueType	DerivativeValueType
typedef FixedImageType::Pointer	FixedImagePointer
typedef TFixedImage	FixedImageType
typedef FixedInterpolatorType::Pointer	FixedInterpolatorPointer
typedef InterpolateImageFunction < FixedImageType, RealType >	FixedInterpolatorType
typedef MetricType::Pointer	MetricPointer
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 SmartPointer< Self >	Pointer
typedef TransformType::ScalarType	RealType
typedef ImageRegistrationMethodv4	Self
typedef Array< SizeValueType >	ShrinkFactorsArrayType
typedef Array< RealType >	SmoothingSigmasArrayType
typedef ProcessObject	Superclass
typedef TransformOutputType::Pointer	TransformOutputPointer
typedef DataObjectDecorator < TransformType >	TransformOutputType
typedef TransformParametersAdaptorType::Pointer	TransformParametersAdaptorPointer
typedef std::vector < TransformParametersAdaptorPointer >	TransformParametersAdaptorsContainerType
typedef TransformParametersAdaptor < TransformType >	TransformParametersAdaptorType
typedef TransformType::Pointer	TransformPointer
typedef TTransform	TransformType
Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
virtual SizeValueType	GetCurrentLevel () const
virtual const char *	GetNameOfClass () const
virtual const TransformOutputType *	GetOutput () const
virtual DataObjectPointer	MakeOutput (DataObjectPointerArraySizeType)
void	StartRegistration ()

virtual void	SetFixedImage (const FixedImageType *input)
virtual const FixedImageType *	GetFixedImage () const

virtual void	SetMovingImage (const MovingImageType *input)
virtual const MovingImageType *	GetMovingImage () const

virtual void	SetFixedInterpolator (FixedInterpolatorType *_arg)
virtual const FixedInterpolatorType *	GetFixedInterpolator ()

virtual void	SetMovingInterpolator (MovingInterpolatorType *_arg)
virtual const MovingInterpolatorType *	GetMovingInterpolator ()

virtual void	SetMetric (MetricType *_arg)
virtual MetricType *	GetMetric ()

virtual void	SetTransform (TransformType *_arg)
virtual TransformType *	GetTransform ()

virtual void	SetOptimizer (OptimizerType *_arg)
virtual OptimizerType *	GetOptimizer ()

virtual void	SetCompositeTransform (CompositeTransformType *_arg)
virtual CompositeTransformType *	GetCompositeTransform ()

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	~ImageRegistrationMethodv4 ()
Protected Attributes
CompositeTransformPointer	m_CompositeTransform
SizeValueType	m_CurrentLevel
FixedInterpolatorPointer	m_FixedInterpolator
FixedImagePointer	m_FixedSmoothImage
MetricPointer	m_Metric
MovingInterpolatorPointer	m_MovingInterpolator
MovingImagePointer	m_MovingSmoothImage
SizeValueType	m_NumberOfLevels
OptimizerPointer	m_Optimizer
ShrinkFactorsArrayType	m_ShrinkFactorsPerLevel
SmoothingSigmasArrayType	m_SmoothingSigmasPerLevel
TransformPointer	m_Transform
TransformParametersAdaptorsContainerType	m_TransformParametersAdaptorsPerLevel
Private Member Functions
	ImageRegistrationMethodv4 (const Self &)
void	operator= (const Self &)

Detailed Description

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

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 peformed in multiple levels. Each level can be characterized by:

the resolution of the virtual domain image (see below)
smoothing of the fixed and moving images
the coarseness of the current transform via transform adaptors (see below)

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.