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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 __itkDisplacementFieldToBSplineImageFilter_h
#define __itkDisplacementFieldToBSplineImageFilter_h
#include "itkImageToImageFilter.h"
#include "itkBSplineScatteredDataPointSetToImageFilter.h"
#include "itkPointSet.h"
#include "itkVector.h"
namespace itk
{
/**
* \class DisplacementFieldToBSplineImageFilter
* \brief Class which takes a displacement field image and smooths it
* using B-splines. The inverse can also be estimated.
*
* \author Nick Tustison
*
* \ingroup ITKDisplacementField
*/
template <typename TInputImage, typename TOutputImage = TInputImage>
class DisplacementFieldToBSplineImageFilter
: public ImageToImageFilter<TInputImage, TOutputImage>
{
public:
typedef DisplacementFieldToBSplineImageFilter Self;
typedef ImageToImageFilter<TInputImage, TOutputImage> Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Method for creation through the object factory. */
itkNewMacro( Self );
/** Extract dimension from input image. */
itkStaticConstMacro( ImageDimension, unsigned int, TInputImage::ImageDimension );
typedef TInputImage InputFieldType;
typedef TOutputImage OutputFieldType;
typedef InputFieldType DisplacementFieldType;
typedef OutputFieldType InverseDisplacementFieldType;
/** Image typedef support. */
typedef typename OutputFieldType::PixelType PixelType;
typedef typename OutputFieldType::PixelType VectorType;
typedef typename OutputFieldType::RegionType RegionType;
typedef typename OutputFieldType::IndexType IndexType;
typedef typename OutputFieldType::PointType PointType;
typedef typename OutputFieldType::SpacingType SpacingType;
typedef typename OutputFieldType::PointType OriginType;
typedef typename OutputFieldType::SizeType SizeType;
typedef typename OutputFieldType::DirectionType DirectionType;
typedef typename VectorType::RealValueType RealType;
typedef Image<RealType, ImageDimension> RealImageType;
/** B-spline smoothing filter argument typedefs */
typedef PointSet<VectorType, ImageDimension> PointSetType;
/** B-sline filter typedefs */
typedef BSplineScatteredDataPointSetToImageFilter<
PointSetType, OutputFieldType> BSplineFilterType;
typedef typename BSplineFilterType::WeightsContainerType WeightsContainerType;
typedef typename BSplineFilterType::PointDataImageType DisplacementFieldControlPointLatticeType;
typedef typename BSplineFilterType::ArrayType ArrayType;
/** Set the displacement field */
void SetDisplacementField( const InputFieldType * field )
{
this->SetInput( field );
}
/**
* Get the deformation field.
*/
const InputFieldType* GetDisplacementField() const
{
return this->GetInput( 0 );
}
/**
* Get the displacement field control point lattice.
*/
const DisplacementFieldControlPointLatticeType * GetDisplacementFieldControlPointLattice() const
{
return this->m_DisplacementFieldControlPointLattice;
}
/**
* Set confidence image function. If a confidence image is specified,
* estimation of the displacement field weights the contribution of each voxel
* according the value of the corresponding voxel in the confidence image.
*/
void SetConfidenceImage( const RealImageType *image )
{
this->SetNthInput( 1, const_cast<RealImageType *>( image ) );
}
void SetInput1( const RealImageType *image ) { this->SetConfidenceImage( image ); }
/**
* Get confidence image function.
*/
const RealImageType* GetConfidenceImage() const
{
return static_cast<const RealImageType*>( this->ProcessObject::GetInput( 1 ) );
}
/**
* Set the spline order defining the bias field estimate. Default = 3.
*/
itkSetMacro( SplineOrder, unsigned int );
/**
* Get the spline order defining the bias field estimate. Default = 3.
*/
itkGetConstMacro( SplineOrder, unsigned int );
/**
* Set the control point grid size definining the B-spline estimate of the
* scalar bias field. In each dimension, the B-spline mesh size is equal
* to the number of control points in that dimension minus the spline order.
* Default = 4 control points in each dimension for a mesh size of 1 in each
* dimension.
*/
itkSetMacro( NumberOfControlPoints, ArrayType );
/**
* Get the control point grid size definining the B-spline estimate of the
* scalar bias field. In each dimension, the B-spline mesh size is equal
* to the number of control points in that dimension minus the spline order.
* Default = 4 control points in each dimension for a mesh size of 1 in each
* dimension.
*/
itkGetConstMacro( NumberOfControlPoints, ArrayType );
/**
* Set the number of fitting levels. One of the contributions of N4 is the
* introduction of a multi-scale approach to fitting. This allows one to
* specify a B-spline mesh size for initial fitting followed by a doubling of
* the mesh resolution for each subsequent fitting level. Default = 1 level.
*/
itkSetMacro( NumberOfFittingLevels, ArrayType );
/**
* Set the number of fitting levels. One of the contributions of N4 is the
* introduction of a multi-scale approach to fitting. This allows one to
* specify a B-spline mesh size for initial fitting followed by a doubling of
* the mesh resolution for each subsequent fitting level. Default = 1 level.
*/
void SetNumberOfFittingLevels( unsigned int n )
{
ArrayType nlevels;
nlevels.Fill( n );
this->SetNumberOfFittingLevels( nlevels );
}
/**
* Get the number of fitting levels. One of the contributions of N4 is the
* introduction of a multi-scale approach to fitting. This allows one to
* specify a B-spline mesh size for initial fitting followed by a doubling of
* the mesh resolution for each subsequent fitting level. Default = 1 level.
*/
itkGetConstMacro( NumberOfFittingLevels, ArrayType );
/**
* Estimate the inverse field instead of the forward field. Default = false.
*/
itkBooleanMacro( EstimateInverse );
itkSetMacro( EstimateInverse, bool );
itkGetConstMacro( EstimateInverse, bool );
/**
* Enforce stationary boundary conditions. Default = false.
*/
itkBooleanMacro( EnforceStationaryBoundary );
itkSetMacro( EnforceStationaryBoundary, bool );
itkGetConstMacro( EnforceStationaryBoundary, bool );
protected:
/** Constructor */
DisplacementFieldToBSplineImageFilter();
/** Deconstructor */
virtual ~DisplacementFieldToBSplineImageFilter();
/** Standard print self function **/
void PrintSelf( std::ostream& os, Indent indent ) const;
/** preprocessing function */
void GenerateData();
private:
DisplacementFieldToBSplineImageFilter( const Self& ); //purposely not implemented
void operator=( const Self& ); //purposely not implemented
bool m_EstimateInverse;
bool m_EnforceStationaryBoundary;
unsigned int m_SplineOrder;
ArrayType m_NumberOfControlPoints;
ArrayType m_NumberOfFittingLevels;
typename DisplacementFieldControlPointLatticeType::Pointer m_DisplacementFieldControlPointLattice;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkDisplacementFieldToBSplineImageFilter.hxx"
#endif
#endif
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