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itkImageToSpatialObjectRegistrationMethod.h
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itkImageToSpatialObjectRegistrationMethod.h
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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkImageToSpatialObjectRegistrationMethod.h
Language: C++
Date: $Date$
Version: $Revision$
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#ifndef __itkImageToSpatialObjectRegistrationMethod_h
#define __itkImageToSpatialObjectRegistrationMethod_h
#include "itkProcessObject.h"
#include "itkImage.h"
#include "itkImageToSpatialObjectMetric.h"
#include "itkSingleValuedNonLinearOptimizer.h"
namespace itk
{
/** \class ImageToSpatialObjectRegistrationMethod
* \brief Base class for Image Registration Methods
*
*
* This class is templated over the type of the image and the type
* of the SpatialObject to be registered.
* A generic Transform is used by this class. That allows
* to select at run time the particular type of transformation that
* is to be applied for registering the images.
*
* This method use a generic Metric in order to compare the two images.
* the final goal of the registration method is to find the set of
* parameters of the Transformation that optimizes the metric.
*
* The registration method also support a generic optimizer that can
* be selected at run-time. The only restriction for the optimizer is
* that it should be able to operate in single-valued cost functions
* given that the metrics used to compare images provide a single
* value as output.
*
* The terms : Fixed image and Moving SpatialObject are used in this class
* to indicate that the SpatialObject is being mapped by the transform.
*
* This class uses the coordinate system of the Fixed image and searchs
* for a transform that will map the Moving SpatialObject on top of
* the Fixed image. For doing so, a Metric will be continously applied to
* compare the Fixed image with the Transformed Moving SpatialObject.
*
* \ingroup RegistrationFilters
*/
template <typename TFixedImage, typename TMovingSpatialObject>
class ITK_EXPORT ImageToSpatialObjectRegistrationMethod : public ProcessObject
{
public:
/** Standard class typedefs. */
typedef ImageToSpatialObjectRegistrationMethod Self;
typedef ProcessObject Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Run-time type information (and related methods). */
itkTypeMacro(ImageToSpatialObjectRegistrationMethod, ProcessObject);
/** Type of the Fixed image. */
typedef TFixedImage FixedImageType;
typedef typename FixedImageType::ConstPointer FixedImageConstPointer;
/** Type of the Moving image. */
typedef TMovingSpatialObject MovingSpatialObjectType;
typedef typename MovingSpatialObjectType::ConstPointer
MovingSpatialObjectConstPointer;
/** Type of the metric. */
typedef ImageToSpatialObjectMetric< FixedImageType,
MovingSpatialObjectType > MetricType;
typedef typename MetricType::Pointer MetricPointer;
/** Type of the Transform . */
typedef typename MetricType::TransformType TransformType;
typedef typename TransformType::Pointer TransformPointer;
/** Type of the Interpolator. */
typedef typename MetricType::InterpolatorType InterpolatorType;
typedef typename InterpolatorType::Pointer InterpolatorPointer;
/** Type of the optimizer. */
typedef SingleValuedNonLinearOptimizer OptimizerType;
/** Type of the Transformation parameters This is the same type used to
* represent the search space of the optimization algorithm */
typedef typename MetricType::TransformParametersType ParametersType;
/** Method that initiates the registration. */
void StartRegistration(void);
/** Set/Get the Fixed image. */
itkSetConstObjectMacro( FixedImage, FixedImageType );
itkGetConstObjectMacro( FixedImage, FixedImageType );
/** Set/Get the Moving Spatial Object. */
itkSetConstObjectMacro( MovingSpatialObject, MovingSpatialObjectType );
itkGetConstObjectMacro( MovingSpatialObject, MovingSpatialObjectType );
/** Set/Get the Optimizer. */
itkSetObjectMacro( Optimizer, OptimizerType );
itkGetObjectMacro( Optimizer, OptimizerType );
/** Set/Get the Metric. */
itkSetObjectMacro( Metric, MetricType );
itkGetObjectMacro( Metric, MetricType );
/** Set/Get the Transfrom. */
itkSetObjectMacro( Transform, TransformType );
itkGetObjectMacro( Transform, TransformType );
/** Set/Get the Interpolator. */
itkSetObjectMacro( Interpolator, InterpolatorType );
itkGetObjectMacro( Interpolator, InterpolatorType );
/** Set/Get the initial transformation parameters. */
itkSetMacro( InitialTransformParameters, ParametersType );
itkGetConstReferenceMacro( InitialTransformParameters, ParametersType );
/** Get the last transformation parameters visited by
* the optimizer. */
itkGetConstReferenceMacro( LastTransformParameters, ParametersType );
protected:
ImageToSpatialObjectRegistrationMethod();
virtual ~ImageToSpatialObjectRegistrationMethod() {};
void PrintSelf(std::ostream& os, Indent indent) const;
/** Initialize by setting the interconnects between the components. */
void Initialize() throw (ExceptionObject);
ParametersType m_InitialTransformParameters;
ParametersType m_LastTransformParameters;
private:
ImageToSpatialObjectRegistrationMethod(const Self&); //purposely not implemented
void operator=(const Self&); //purposely not implemented
MetricPointer m_Metric;
OptimizerType::Pointer m_Optimizer;
MovingSpatialObjectConstPointer m_MovingSpatialObject;
FixedImageConstPointer m_FixedImage;
TransformPointer m_Transform;
InterpolatorPointer m_Interpolator;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkImageToSpatialObjectRegistrationMethod.txx"
#endif
#endif