/usr/include/ITK-4.5/itkBSplineBaseTransform.h is in libinsighttoolkit4-dev 4.5.0-3.
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*
* Copyright Insight Software Consortium
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
#ifndef __itkBSplineBaseTransform_h
#define __itkBSplineBaseTransform_h
#include <iostream>
#include "itkTransform.h"
#include "itkImage.h"
#include "itkBSplineInterpolationWeightFunction.h"
namespace itk
{
/** \class BSplineBaseTransform
* \brief A base class with common elements of BSplineTransform and BSplineDeformableTransform
*
* \ingroup ITKTransform
*/
template <typename TScalar = double, unsigned int NDimensions = 3,
unsigned int VSplineOrder = 3>
class BSplineBaseTransform :
public Transform<TScalar, NDimensions, NDimensions>
{
public:
/** Standard class typedefs. */
typedef BSplineBaseTransform Self;
typedef Transform<TScalar, NDimensions, NDimensions> Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Run-time type information (and related methods). */
itkTypeMacro( BSplineBaseTransform, Transform );
/** Dimension of the domain space. */
itkStaticConstMacro( SpaceDimension, unsigned int, NDimensions );
/** The BSpline order. */
itkStaticConstMacro( SplineOrder, unsigned int, VSplineOrder );
/** implement type-specific clone method*/
itkCloneMacro(Self);
/** Standard scalar type for this class. */
typedef typename Superclass::ScalarType ScalarType;
/** Standard parameters container. */
typedef typename Superclass::ParametersType ParametersType;
/** Standard Jacobian container. */
typedef typename Superclass::JacobianType JacobianType;
/** Transform category type. */
typedef typename Superclass::TransformCategoryType TransformCategoryType;
/** The number of parameters defininig this transform. */
typedef typename Superclass::NumberOfParametersType NumberOfParametersType;
/** Standard vector type for this class. */
typedef Vector<TScalar, itkGetStaticConstMacro( SpaceDimension )> InputVectorType;
typedef Vector<TScalar, itkGetStaticConstMacro( SpaceDimension )> OutputVectorType;
/** Standard covariant vector type for this class. */
typedef CovariantVector<TScalar, itkGetStaticConstMacro( SpaceDimension )> InputCovariantVectorType;
typedef CovariantVector<TScalar, itkGetStaticConstMacro( SpaceDimension )> OutputCovariantVectorType;
/** Standard vnl_vector type for this class. */
typedef vnl_vector_fixed<TScalar, SpaceDimension> InputVnlVectorType;
typedef vnl_vector_fixed<TScalar, SpaceDimension> OutputVnlVectorType;
/** Standard coordinate point type for this class. */
typedef Point <TScalar, itkGetStaticConstMacro( SpaceDimension )> InputPointType;
typedef Point <TScalar, itkGetStaticConstMacro( SpaceDimension )> OutputPointType;
/** This method sets the parameters of the transform.
* For a BSpline deformation transform, the parameters are the BSpline
* coefficients on a sparse grid.
*
* The parameters are N number of N-D grid of coefficients. Each N-D grid
* is represented as a flat array of scalars (in the same configuration as
* an itk::Image). The N arrays are then concatenated to form one parameter
* array.
*
* For efficiency, this transform does not make a copy of the parameters.
* It only keeps a pointer to the input parameters. It assumes that the memory
* is managed by the caller. Use SetParametersByValue to force the transform
* to call copy the parameters.
*
* This method wraps each grid as itk::Image's using the user specified
* fixed parameters.
* NOTE: The transform domain must be set first.
*
*/
void SetParameters( const ParametersType & parameters );
/** This method sets the fixed parameters of the transform.
* For a BSpline deformation transform, the fixed parameters are the
* following: grid size, grid origin, grid spacing, and grid direction.
* However, all of these are set via the much more intuitive
* SetTransformDomainXXX() functions
*
* The fixed parameters are the three times the size of the templated
* dimensions. This function has the effect of make the following non-
* existing functional calls:
* transform->SetGridSpacing( spacing );
* transform->SetGridOrigin( origin );
* transform->SetGridDirection( direction );
* transform->SetGridRegion( bsplineRegion );
*
* With recent updates to this transform, however, all these parameters
* are set indirectly by setting the transform domain parameters unless
* the user sets them with SetFixedParameters().
*
* This function was added to allow the transform to work with the
* itkTransformReader/Writer I/O filters.
*
*/
virtual void SetFixedParameters( const ParametersType & parameters ) = 0;
/** This method sets the parameters of the transform.
* For a BSpline deformation transform, the parameters are the BSpline
* coefficients on a sparse grid.
*
* The parameters are N number of N-D grid of coefficients. Each N-D grid
* is represented as a flat array of doubles
* (in the same configuration as an itk::Image).
* The N arrays are then concatenated to form one parameter array.
*
* This methods makes a copy of the parameters while for
* efficiency the SetParameters method does not.
*
* This method wraps each grid as itk::Image's using the user specified
* fixed parameters.
* NOTE: The fixed parameters must be set first.
*/
void SetParametersByValue( const ParametersType & parameters );
/** This method can ONLY be invoked AFTER calling SetParameters().
* This restriction is due to the fact that the BSplineBaseTransform
* does not copy the array of parameters internally, instead it keeps a
* pointer to the user-provided array of parameters. This method is also
* in violation of the const-correctness of the parameters since the
* parameter array has been passed to the transform on a 'const' basis but
* the values get modified when the user invokes SetIdentity().
*/
void SetIdentity();
/** Get the Transformation Parameters. */
virtual const ParametersType & GetParameters() const;
/** Get the Transformation Fixed Parameters. */
virtual const ParametersType & GetFixedParameters() const;
/** Parameters as SpaceDimension number of images. */
typedef typename ParametersType::ValueType ParametersValueType;
typedef Image<ParametersValueType, itkGetStaticConstMacro( SpaceDimension )> ImageType;
typedef typename ImageType::Pointer ImagePointer;
typedef FixedArray<ImagePointer, NDimensions> CoefficientImageArray;
/** Set the array of coefficient images.
*
* This is an alternative API for setting the BSpline coefficients
* as an array of SpaceDimension images. The fixed parameters are
* taken from the first image. It is assumed that
* the buffered region of all the subsequent images are the same
* as the first image. Note that no error checking is done.
*
* Warning: use either the SetParameters() or SetCoefficientImages()
* API. Mixing the two modes may results in unexpected results.
*/
virtual void SetCoefficientImages( const CoefficientImageArray & images ) = 0;
/** Get the array of coefficient images. */
const CoefficientImageArray GetCoefficientImages() const
{
return this->m_CoefficientImages;
}
typedef typename Superclass::DerivativeType DerivativeType;
/** Update the transform's parameters by the adding values in \c update
* to current parameter values.
* We assume \c update is of the same length as Parameters. Throw
* exception otherwise.
* \c factor is a scalar multiplier for each value in update.
* SetParameters is called at the end of this method, to allow transforms
* to perform any required operations on the update parameters, typically
* a converion to member variables for use in TransformPoint.
* Derived classes should override to provide specialized behavior.
*/
virtual void UpdateTransformParameters( const DerivativeType & update, TScalar factor = 1.0 );
/** Typedefs for specifying the extent of the grid. */
typedef ImageRegion<itkGetStaticConstMacro( SpaceDimension )> RegionType;
typedef typename RegionType::IndexType IndexType;
typedef typename RegionType::SizeType SizeType;
typedef typename ImageType::SpacingType SpacingType;
typedef typename ImageType::DirectionType DirectionType;
typedef typename ImageType::PointType OriginType;
/** Transform points by a BSpline deformable transformation. */
OutputPointType TransformPoint( const InputPointType & point ) const;
/** Interpolation weights function type. */
typedef BSplineInterpolationWeightFunction<ScalarType,
itkGetStaticConstMacro( SpaceDimension ),
itkGetStaticConstMacro( SplineOrder )> WeightsFunctionType;
typedef typename WeightsFunctionType::WeightsType WeightsType;
typedef typename WeightsFunctionType::ContinuousIndexType ContinuousIndexType;
/** Parameter index array type. */
typedef Array<unsigned long> ParameterIndexArrayType;
/**
* Transform points by a BSpline deformable transformation.
* On return, weights contains the interpolation weights used to compute the
* deformation and indices of the x (zeroth) dimension coefficient parameters
* in the support region used to compute the deformation.
* Parameter indices for the i-th dimension can be obtained by adding
* ( i * this->GetNumberOfParametersPerDimension() ) to the indices array.
*/
virtual void TransformPoint( const InputPointType & inputPoint, OutputPointType & outputPoint,
WeightsType & weights, ParameterIndexArrayType & indices, bool & inside ) const = 0;
/** Get number of weights. */
unsigned long GetNumberOfWeights() const
{
return m_WeightsFunction->GetNumberOfWeights();
}
/** Method to transform a vector -
* not applicable for this type of transform. */
using Superclass::TransformVector;
virtual OutputVectorType TransformVector( const InputVectorType & ) const
{
itkExceptionMacro( << "Method not applicable for deformable transform." );
return OutputVectorType();
}
/** Method to transform a vnl_vector -
* not applicable for this type of transform */
virtual OutputVnlVectorType TransformVector( const InputVnlVectorType & ) const
{
itkExceptionMacro( << "Method not applicable for deformable transform. " );
return OutputVnlVectorType();
}
/** Method to transform a CovariantVector -
* not applicable for this type of transform */
using Superclass::TransformCovariantVector;
virtual OutputCovariantVectorType TransformCovariantVector(
const InputCovariantVectorType & ) const
{
itkExceptionMacro( << "Method not applicable for deformable transfrom. " );
return OutputCovariantVectorType();
}
/** Get Jacobian at a point. A very specialized function just for BSplines */
void ComputeJacobianFromBSplineWeightsWithRespectToPosition(
const InputPointType &, WeightsType &, ParameterIndexArrayType & ) const;
virtual void ComputeJacobianWithRespectToParameters( const InputPointType &, JacobianType & ) const = 0;
virtual void ComputeJacobianWithRespectToPosition( const InputPointType &, JacobianType & ) const
{
itkExceptionMacro( << "ComputeJacobianWithRespectToPosition not yet implemented "
"for " << this->GetNameOfClass() );
}
/** Return the number of parameters that completely define the Transfom */
virtual NumberOfParametersType GetNumberOfParameters() const = 0;
/** Return the number of parameters per dimension */
virtual NumberOfParametersType GetNumberOfParametersPerDimension() const = 0;
virtual TransformCategoryType GetTransformCategory() const
{
return Self::BSpline;
}
unsigned int GetNumberOfAffectedWeights() const;
typedef typename ImageType::SpacingType PhysicalDimensionsType;
typedef typename ImageType::PixelType PixelType;
typedef SizeType MeshSizeType;
/** Return the number of local parameters */
virtual NumberOfParametersType GetNumberOfLocalParameters() const
{
return this->GetNumberOfParameters();
}
protected:
/** Print contents of an BSplineBaseTransform. */
void PrintSelf( std::ostream & os, Indent indent ) const;
BSplineBaseTransform();
virtual ~BSplineBaseTransform();
/** Get/Set to allow subclasses to access and manipulate the weights function. */
itkSetObjectMacro( WeightsFunction, WeightsFunctionType );
itkGetModifiableObjectMacro(WeightsFunction, WeightsFunctionType );
/** Wrap flat array into images of coefficients. */
void WrapAsImages();
protected:
/** Construct control point grid from transform domain information */
void SetFixedParametersFromTransformDomainInformation() const;
/** Construct control point grid size from transform domain information */
virtual void SetFixedParametersGridSizeFromTransformDomainInformation() const = 0;
/** Construct control point grid origin from transform domain information */
virtual void SetFixedParametersGridOriginFromTransformDomainInformation() const = 0;
/** Construct control point grid spacing from transform domain information */
virtual void SetFixedParametersGridSpacingFromTransformDomainInformation() const = 0;
/** Construct control point grid direction from transform domain information */
virtual void SetFixedParametersGridDirectionFromTransformDomainInformation() const = 0;
/** Construct control point grid size from transform domain information */
virtual void SetCoefficientImageInformationFromFixedParameters() =0;
/** Check if a continuous index is inside the valid region. */
virtual bool InsideValidRegion( ContinuousIndexType & ) const = 0;
// NOTE: There is a natural duality between the
// two representations of of the coefficients
// whereby the m_InternalParametersBuffer is
// needed to fit into the optimization framework
// and the m_CoefficientImages is needed for
// the Jacobian computations. This implementation
// is an attempt to remove as much redundancy as possible
// and share as much information between the two
// instances as possible.
//
/** Array of images representing the B-spline coefficients
* in each dimension wrapped from the flat parameters in
* m_InternalParametersBuffer
*/
CoefficientImageArray m_CoefficientImages;
/** Internal parameters buffer. */
ParametersType m_InternalParametersBuffer;
/** Pointer to function used to compute Bspline interpolation weights. */
typename WeightsFunctionType::Pointer m_WeightsFunction;
private:
BSplineBaseTransform( const Self & ); // purposely not implemented
void operator=( const Self & ); // purposely not implemented
CoefficientImageArray ArrayOfImagePointerGeneratorHelper() const;
}; // class BSplineBaseTransform
} // namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkBSplineBaseTransform.hxx"
#endif
#endif /* __itkBSplineBaseTransform_h */
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