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itkMultiImageToImageMetric.txx
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itkMultiImageToImageMetric.txx
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#ifndef __itkMultiImageToImageMetric_txx
#define __itkMultiImageToImageMetric_txx
#include "itkMultiImageToImageMetric.h"
namespace itk {
/**
* Constructor
*/
template <class TFixedImage, class TMovingImage>
MultiImageToImageMetric<TFixedImage,TMovingImage>
::MultiImageToImageMetric()
{
m_MovingImage = 0; // has to be provided by the user.
m_Transform = 0; // has to be provided by the user.
//m_GradientImage = 0; // will receive the output of the filter;
//m_ComputeGradient = false;
m_DerivativeDelta = 0.001;
}
/**
* Destructor
*/
template <class TFixedImage, class TMovingImage>
MultiImageToImageMetric<TFixedImage,TMovingImage>::
~MultiImageToImageMetric()
{
const unsigned int MetricTotal = m_MultiMetric.size();
for( unsigned int metricNum=0; metricNum<MetricTotal; metricNum++)
{
m_MultiMetric.back() = NULL;
m_MultiMetric.pop_back();
}
}
/**
* DoConnectionRevision
*/
template <class TFixedImage, class TMovingImage>
void
MultiImageToImageMetric<TFixedImage,TMovingImage>
::DoConnectionRevision( ) const throw ( ExceptionObject )
{
const unsigned int FImgTotal = m_FixedMultiImage.size();
for( unsigned int fImg=0; fImg < FImgTotal; fImg++ )
{
if( m_MultiMetric[fImg]->GetFixedImage() != m_FixedMultiImage[fImg] )
{
itkExceptionMacro( << "Incorrect connection between metric " << fImg << " and its fixed image" );
}
if( m_MultiMetric[fImg]->GetFixedImageRegion() != m_FixedMultiImageRegion[fImg] )
{
itkExceptionMacro( << "Incorrect connection between metric " << fImg << " and its region" );
}
if( m_FixedMultiImageMask.size() > 0 && m_FixedMultiImageMask[fImg] &&
m_MultiMetric[fImg]->GetFixedImageMask() != m_FixedMultiImageMask[fImg] )
{
itkExceptionMacro( << "Incorrect connection between metrics " << fImg << " and its mask" );
}
if( m_MultiMetric[fImg]->GetMovingImage() != m_MovingImage )
{
itkExceptionMacro( << "Incorrect connection between metric " << fImg << " and the moving image" );
}
//if( m_MultiMetric[fImg]->GetMovingImageMask() != m_MovingImageMask )
// {
// itkExceptionMacro( << "Incorrect connection between metric " << fImg << " and the moving image's mask" );
// }
if( m_MultiMetric[fImg]->GetInterpolator() != m_MultiInterpolator[fImg] )
{
itkExceptionMacro( << "Incorrect connection between metric " << fImg << " and its interpolator" );
}
if( m_MultiMetric[fImg]->GetTransform() != m_Transform )
{
itkExceptionMacro( << "Incorrect connection between metric " << fImg << " and the transform" );
}
}
}
/**
* DoNumberRevision
*/
template <class TFixedImage, class TMovingImage>
void
MultiImageToImageMetric<TFixedImage,TMovingImage>
::DoNumberRevision( ) const throw ( ExceptionObject )
{
//Does the moving image exist?
if( !m_MovingImage )
{
itkExceptionMacro( << "Moving Image is not present" );
}
//Does the transform exist?
if( !m_Transform )
{
itkExceptionMacro( << "Transform is not present" );
}
// Are there any fixed images?
const unsigned int FImgTotal = m_FixedMultiImage.size();
if( FImgTotal == 0 )
{
itkExceptionMacro( << "Fixed Images vector is empty" );
}
//Does the interpolator vector have the same number of elements as the number
//of fixed images?
const unsigned int InterpTotal = m_MultiInterpolator.size();
if( InterpTotal != FImgTotal )
{
itkExceptionMacro( << "Interpolators vector does not have the same number "
"of elements as the total fixed images" );
}
//Now do the usual checks on the regions...
const unsigned int RegionsTotal = m_FixedMultiImageRegion.size();
if( RegionsTotal != FImgTotal )
{
itkExceptionMacro( <<"Fixed Images Regions vector does not have the "
"same number of elements as the total fixed images" );
}
//Number of metrics == Number of fixed images ?
const unsigned int MetricTotal = m_MultiMetric.size();
if( MetricTotal != FImgTotal )
{
itkExceptionMacro(<<"Metrics vector does not have the same number "
"of elements as the total fixed images");
}
//Do the fixed images' mask array have the correct number of elements?
//Remember can be empty or have the same number of elements as fixed images.
//Any other value is not allowed.
const unsigned int FixedMaskTotal = m_FixedMultiImageMask.size();
if( FixedMaskTotal > 0 && FixedMaskTotal != FImgTotal )
{
itkExceptionMacro(<<"Fixed images' mask array has an incorrect number "
"of elements. Allowed values are 0 or the number of fixed images");
}
// Check arrays for any null elements
for( unsigned int fImgNum=0; fImgNum < FImgTotal; fImgNum++ )
{
FixedImageConstPointerType fImg = m_FixedMultiImage[ fImgNum ];
//Do all fixed images exist?
if( !fImg )
{
itkExceptionMacro( << "Fixed Images vector contains null element(s)" );
}
//Check interpolators...
InterpolatorPointer interp = m_MultiInterpolator[ fImgNum ];
if( !interp )
{
itkExceptionMacro( << "Interpolators vector contains null element(s)" );
}
FixedImageRegionType fRegion = m_FixedMultiImageRegion[ fImgNum ];
unsigned long pixelTotal = fRegion.GetNumberOfPixels();
if( pixelTotal == 0 )
{
itkExceptionMacro(<<"Fixed image region is empty");
}
if ( !fRegion.Crop( fImg->GetBufferedRegion() ) )
{
itkExceptionMacro(
<<"FixedImageRegion does not overlap the fixed image buffered region" );
}
// Check metrics
MetricPointer metric = m_MultiMetric[ fImgNum ];
if( !metric )
{
itkExceptionMacro( << "Metrics vector contains null element(s)" );
}
// No searches for null elements are made on the fixed images' masks array.
// It is valid that some elements are defined while others are not.
} // for( int fImgNum=0; fImgNum < FImgTotal; fImgNum++ )
if( m_DerivativeDelta <= 0.0 )
{
itkExceptionMacro( << "Derivative delta must be greater than zero" );
}
}
/**
* PrintSelf
*/
template <class TFixedImage, class TMovingImage>
void
MultiImageToImageMetric<TFixedImage,TMovingImage>
::PrintSelf(std::ostream& os, Indent indent) const
{
Superclass::PrintSelf( os, indent );
os << indent << "Moving Image: " << m_MovingImage.GetPointer()
<< std::endl;
for( unsigned int i=0; i<m_FixedMultiImage.size(); i++ )
{
os << indent << "FixedMultiImage[" << i <<"]: " << m_FixedMultiImage[i]
<< std::endl;
}
os << indent << "Transform: " << m_Transform.GetPointer() << std::endl;
for( unsigned int i=0; i<m_MultiInterpolator.size(); i++ )
{
os << indent << "MultiInterpolator[" << i << "]: " <<
m_MultiInterpolator[i] << std::endl;
}
for( unsigned int i=0; i<m_MultiMetric.size(); i++ )
{
os << indent << "MultiMetric[" << i <<"]: " << m_MultiMetric[i] <<
std::endl;
}
//os << indent << "ComputeGradient: "
// << static_cast<typename NumericTraits<bool>::PrintType>(m_ComputeGradient)
// << std::endl;
//os << indent << "Gradient Image: " << m_GradientImage.GetPointer()
// << std::endl;
for( unsigned int i=0; i<m_MultiMetric.size(); i++ )
{
os << indent << "FixedMultiImageRegion[" << i << "]: " <<
m_FixedMultiImageRegion[i] << std::endl;
}
for( unsigned int i=0; i<m_FixedMultiImageMask.size(); i++ )
{
os << indent << "FixedMultiImageMask[" << i << "]: ";
if( m_FixedMultiImageMask[i] )
{
os << m_FixedMultiImageMask[i].GetPointer() << std::endl;
}
else
{
os << "0" << std::endl;
}
}
//os << indent << "Moving Image Mask: " << m_MovingImageMask.GetPointer()
// << std::endl;
os << indent << "Derivative delta: " << m_DerivativeDelta << std::endl;
}
/**
* Set the parameters that define a unique transform
*/
template <class TFixedImage, class TMovingImage>
void
MultiImageToImageMetric<TFixedImage,TMovingImage>
::SetTransformParameters( const ParametersType & parameters ) const
{
if( !m_Transform )
{
itkExceptionMacro(<<"Transform has not been assigned");
}
m_Transform->SetParameters( parameters );
}
/**
* Initialize
*/
template <class TFixedImage, class TMovingImage>
void
MultiImageToImageMetric<TFixedImage,TMovingImage>
::Initialize(void) throw ( ExceptionObject )
{
const unsigned int FImgTotal = m_FixedMultiImage.size();
if( FImgTotal == 0 )
{
itkExceptionMacro( << "Fixed Images vector is empty" );
}
// Allocate the individual metrics
const unsigned int OldMetricTotal = m_MultiMetric.size();
for( unsigned int i=0; i<OldMetricTotal; i++ )
{
m_MultiMetric.back() = NULL;
m_MultiMetric.pop_back(); // calls 'delete' on last element
}
for( unsigned int fImgNum=0; fImgNum<FImgTotal; fImgNum++ )
{
m_MultiMetric.push_back( NewSingleMetric() );
}
// Now check the number of objects by calling DoNumberRevision()
DoNumberRevision();
// If the images are provided by different sources, update them.
if( m_MovingImage->GetSource() )
{
m_MovingImage->GetSource()->Update();
}
for( unsigned int fImgNum=0; fImgNum < FImgTotal; fImgNum++ )
{
FixedImageConstPointerType fImg = m_FixedMultiImage[ fImgNum ];
if( fImg->GetSource() )
{
fImg->GetSource()->Update();
}
InterpolatorPointer interp = m_MultiInterpolator[fImgNum];
interp->SetInputImage( m_MovingImage );
}
////Calculate the Moving Image gradient, if necessary
// if ( m_ComputeGradient )
// {
// this->ComputeGradient();
// }
for( unsigned int fImg=0; fImg < FImgTotal; fImg++ )
{
m_MultiMetric[fImg]->SetFixedImage( m_FixedMultiImage[fImg] );
m_MultiMetric[fImg]->SetFixedImageRegion( m_FixedMultiImageRegion[fImg] );
if( m_FixedMultiImageMask.size() == FImgTotal )
{
m_MultiMetric[fImg]->SetFixedImageMask( m_FixedMultiImageMask[fImg] );
}
m_MultiMetric[fImg]->SetMovingImage( m_MovingImage );
//m_MultiMetric[fImg]->SetMovingImageMask( m_MovingImageMask );
m_MultiMetric[fImg]->SetInterpolator( m_MultiInterpolator[fImg] );
m_MultiMetric[fImg]->SetTransform( m_Transform );
//ComputeGradient is set to false on each of the individual metrics. We don't
//want to calculate the same gradient multiple times.
m_MultiMetric[fImg]->SetComputeGradient( false );
m_MultiMetric[fImg]->Initialize();
}
// Update the object's initialization time
m_InitializationTime.Modified();
// If there are any observers on the metric, call them to give the
// user code a chance to set parameters on the metric
this->InvokeEvent( InitializeEvent() );
}
///*
// * Compute the gradient image and assign it to m_GradientImage.
// */
// template <class TFixedImage, class TMovingImage>
// void
// MultiImageToImageMetric<TFixedImage,TMovingImage>
// ::ComputeGradient()
// {
// GradientImageFilterPointer gradientFilter
// = GradientImageFilterType::New();
//
// gradientFilter->SetInput( m_MovingImage );
//
// const typename MovingImageType::SpacingType&
// spacing = m_MovingImage->GetSpacing();
// double maximumSpacing=0.0;
// for(unsigned int i=0; i<MovingImageDimension; i++)
// {
// if( spacing[i] > maximumSpacing )
// {
// maximumSpacing = spacing[i];
// }
// }
// gradientFilter->SetSigma( maximumSpacing );
// gradientFilter->SetNormalizeAcrossScale( true );
//
// #ifdef ITK_USE_ORIENTED_IMAGE_DIRECTION
// gradientFilter->SetUseImageDirection( true );
// #endif
//
// gradientFilter->Update();
//
// m_GradientImage = gradientFilter->GetOutput();
// }
/**
* Get the derivatives of the match measure.
*/
template <class TFixedImage, class TMovingImage>
void
MultiImageToImageMetric<TFixedImage,TMovingImage>
::GetDerivative( const TransformParametersType & parameters,
DerivativeType & derivative ) const
{
itkDebugMacro( "GetDerivative( " << parameters << ", " << derivative << " ) " );
if( this->GetMTime() >= m_InitializationTime.GetMTime() )
{
this->DoFullRevision();
}
TransformParametersType testPoint;
testPoint = parameters;
const unsigned int ParTotal = this->GetNumberOfParameters();
derivative = DerivativeType( ParTotal );
for( unsigned int i=0; i<ParTotal; i++)
{
testPoint[i] -= this->m_DerivativeDelta;
const MeasureType valuep0 = this->GetValue( testPoint );
testPoint[i] += 2* this->m_DerivativeDelta;
const MeasureType valuep1 = this->GetValue( testPoint );
derivative[i] = (valuep1 - valuep0 ) / ( 2 * this->m_DerivativeDelta );
testPoint[i] = parameters[i];
}
}
/**
* Get the value for single valued optimizers.
*/
template <class TFixedImage, class TMovingImage>
typename MultiImageToImageMetric<TFixedImage,TMovingImage>::MeasureType
MultiImageToImageMetric<TFixedImage,TMovingImage>
::GetValue( const TransformParametersType & parameters ) const
{
itkDebugMacro( "GetValue( " << parameters << " ) " );
if( this->GetMTime() >= m_InitializationTime.GetMTime() )
{
this->DoFullRevision();
}
this->SetTransformParameters( parameters );
MeasureType measure = NumericTraits< MeasureType >::Zero;
unsigned int FImgTotal = m_FixedMultiImage.size();
for( unsigned int fImgNum=0; fImgNum<FImgTotal; fImgNum++ )
{
measure += m_MultiMetric[fImgNum]->GetValue( parameters );
}
return measure;
}
} //namespace itk
#endif