libinsighttoolkit3-dev 3.20.1-1 / usr / include / InsightToolkit / Algorithms / itkHistogramImageToImageMetric.txx

/*=========================================================================

  Program:   Insight Segmentation & Registration Toolkit
  Module:    itkHistogramImageToImageMetric.txx
  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 __itkHistogramImageToImageMetric_txx
#define __itkHistogramImageToImageMetric_txx

#include "itkArray.h"
#include "itkHistogramImageToImageMetric.h"
#include "itkNumericTraits.h"
#include "itkImageRegionConstIterator.h"
#include "itkImageRegionConstIteratorWithIndex.h"

namespace itk
{
template <class TFixedImage, class TMovingImage>
HistogramImageToImageMetric<TFixedImage,TMovingImage>
::HistogramImageToImageMetric()
{
  itkDebugMacro("Constructor");

  m_HistogramSize.Fill(256);
  m_UsePaddingValue = false;
  m_DerivativeStepLength = 0.1;
  m_DerivativeStepLengthScales.Fill(1);
  m_UpperBoundIncreaseFactor = 0.001;
  m_PaddingValue = NumericTraits<FixedImagePixelType>::Zero;
  m_Histogram = HistogramType::New(); 
#ifdef ITK_USE_REVIEW_STATISTICS
  m_Histogram->SetMeasurementVectorSize(2);
#endif
  m_LowerBoundSetByUser = false;
  m_UpperBoundSetByUser = false;
}


template <class TFixedImage, class TMovingImage>
void HistogramImageToImageMetric<TFixedImage, TMovingImage>
::SetUpperBound( const MeasurementVectorType & bounds )
{
  m_UpperBound = bounds;
  m_UpperBoundSetByUser = true;
  this->Modified();
}


template <class TFixedImage, class TMovingImage>
void HistogramImageToImageMetric<TFixedImage, TMovingImage>
::SetLowerBound( const MeasurementVectorType & bounds )
{
  m_LowerBound = bounds;
  m_LowerBoundSetByUser = true;
  this->Modified();
}

template <class TFixedImage, class TMovingImage>
void HistogramImageToImageMetric<TFixedImage, TMovingImage>
::Initialize() throw (ExceptionObject)
{
  Superclass::Initialize();

  if (!this->m_FixedImage)
    {
    itkExceptionMacro(<<"Fixed image has not been set.");
    }
  else if (!this->m_MovingImage)
    {
    itkExceptionMacro(<<"Moving image has not been set.");
    }

  if( !m_LowerBoundSetByUser || !m_UpperBoundSetByUser )
    {
    // Calculate min and max image values in fixed image.
    FixedImageConstPointerType pFixedImage = this->m_FixedImage;
    ImageRegionConstIterator<FixedImageType> fiIt(pFixedImage,
                                                  pFixedImage->
                                                      GetBufferedRegion());
    fiIt.GoToBegin();
    FixedImagePixelType minFixed = fiIt.Value();
    FixedImagePixelType maxFixed = fiIt.Value();
    ++fiIt;
    while ( !fiIt.IsAtEnd() )
      {
      FixedImagePixelType value = fiIt.Value();
        
      if (value < minFixed)
        {
        minFixed = value;
        }
      else if (value > maxFixed)
        {
        maxFixed = value;
        }

      ++fiIt;
      }
      
    // Calculate min and max image values in moving image.
    MovingImageConstPointerType pMovingImage = this->m_MovingImage;
    ImageRegionConstIterator<MovingImageType> miIt(pMovingImage,
                                                   pMovingImage->
                                                       GetBufferedRegion());
    miIt.GoToBegin();
    MovingImagePixelType minMoving = miIt.Value();
    MovingImagePixelType maxMoving = miIt.Value();
    ++miIt;
    while ( !miIt.IsAtEnd() )
      {
      MovingImagePixelType value = miIt.Value();

      if (value < minMoving)
        {
        minMoving = value;
        }
      else if (value > maxMoving)
        {
        maxMoving = value;
        }
      ++miIt;
      }


    // Initialize the upper and lower bounds of the histogram.
    if( !m_LowerBoundSetByUser )
      {
#ifdef ITK_USE_REVIEW_STATISTICS
      m_LowerBound.SetSize(2);
#endif
      m_LowerBound[0] = minFixed;
      m_LowerBound[1] = minMoving;
      }

    if( !m_UpperBoundSetByUser )
      {
#ifdef ITK_USE_REVIEW_STATISTICS
      m_UpperBound.SetSize(2);
#endif
      m_UpperBound[0] =
        maxFixed + (maxFixed - minFixed ) * m_UpperBoundIncreaseFactor;
      m_UpperBound[1] =
        maxMoving + (maxMoving - minMoving ) * m_UpperBoundIncreaseFactor;
      }

    }

}

template <class TFixedImage, class TMovingImage>
void
HistogramImageToImageMetric<TFixedImage,TMovingImage>
::SetTransform( TransformType * transform ) 
{
  if(m_DerivativeStepLengthScales.GetSize()
     != transform->GetNumberOfParameters())
    {
    m_DerivativeStepLengthScales.SetSize(transform->GetNumberOfParameters());
    m_DerivativeStepLengthScales.Fill(1.0);
    }
  Superclass::SetTransform(transform);
}

template <class TFixedImage, class TMovingImage>
typename HistogramImageToImageMetric<TFixedImage,TMovingImage>::MeasureType
HistogramImageToImageMetric<TFixedImage,TMovingImage>
::GetValue(const TransformParametersType& parameters) const
{
  itkDebugMacro("GetValue( " << parameters << " ) ");

  this->ComputeHistogram(parameters, *m_Histogram);
    
  return this->EvaluateMeasure(*m_Histogram);
}

template <class TFixedImage, class TMovingImage>
void
HistogramImageToImageMetric<TFixedImage,TMovingImage>
::GetDerivative(const TransformParametersType& parameters,
                DerivativeType& derivative) const
{
  itkDebugMacro("GetDerivative( " << parameters << " ) ");

  const unsigned int ParametersDimension = this->GetNumberOfParameters();

  // Make sure the scales have been set
  if (m_DerivativeStepLengthScales.size() != ParametersDimension)
    {
    itkExceptionMacro(<< "The size of DerivativesStepLengthScales is "
                      << m_DerivativeStepLengthScales.size()
                      << ", but the Number of Parameters is "
                      << ParametersDimension
                      << ".");
    }

  // Calculate gradient.
  derivative = DerivativeType(ParametersDimension);
  derivative.Fill(NumericTraits<ITK_TYPENAME
                  DerivativeType::ValueType>::Zero);

  typename HistogramType::Pointer pHistogram = HistogramType::New();
#ifdef ITK_USE_REVIEW_STATISTICS
  pHistogram->SetMeasurementVectorSize(2);
#endif
  this->ComputeHistogram(parameters, *pHistogram);

  for (unsigned int i = 0; i < ParametersDimension; i++)
    {
    typename HistogramType::Pointer pHistogram2 = HistogramType::New();
#ifdef ITK_USE_REVIEW_STATISTICS
    pHistogram2->SetMeasurementVectorSize(2);
#endif
    this->CopyHistogram(*pHistogram2, *pHistogram);
      
    TransformParametersType newParameters = parameters;
    newParameters[i] -=
      m_DerivativeStepLength/m_DerivativeStepLengthScales[i];
    this->ComputeHistogram(newParameters, *pHistogram2);

    MeasureType e0 = EvaluateMeasure(*pHistogram2);
      
    pHistogram2 = HistogramType::New();
#ifdef ITK_USE_REVIEW_STATISTICS
    pHistogram2->SetMeasurementVectorSize(2);
#endif
    this->CopyHistogram(*pHistogram2, *pHistogram);

    newParameters = parameters;
    newParameters[i] +=
      m_DerivativeStepLength/m_DerivativeStepLengthScales[i];
    this->ComputeHistogram(newParameters, *pHistogram2);

    MeasureType e1 = EvaluateMeasure(*pHistogram2);

    derivative[i] =
      (e1 - e0)/(2*m_DerivativeStepLength/m_DerivativeStepLengthScales[i]);
    }
}

template <class TFixedImage, class TMovingImage>
void
HistogramImageToImageMetric<TFixedImage,TMovingImage>
::GetValueAndDerivative(const TransformParametersType& parameters,
                        MeasureType& value,
                        DerivativeType& derivative) const
{
  value = GetValue(parameters);
  this->GetDerivative(parameters, derivative);
}

template <class TFixedImage, class TMovingImage>
void
HistogramImageToImageMetric<TFixedImage,TMovingImage>
::ComputeHistogram(TransformParametersType const& parameters,
                   HistogramType& histogram) const
{
  FixedImageConstPointerType fixedImage = this->m_FixedImage;
    
  if(!fixedImage)
    {
    itkExceptionMacro(<< "Fixed image has not been assigned");
    }
    
  typedef itk::ImageRegionConstIteratorWithIndex<FixedImageType>
    FixedIteratorType;

  typename FixedImageType::IndexType index;
  typename FixedImageType::RegionType fixedRegion;

  fixedRegion = this->GetFixedImageRegion();
  FixedIteratorType ti( fixedImage, fixedRegion );
    
  this->m_NumberOfPixelsCounted = 0;
  this->SetTransformParameters( parameters );
    
  histogram.Initialize( m_HistogramSize, m_LowerBound, m_UpperBound );
    
  ti.GoToBegin();
  while ( !ti.IsAtEnd() )
    {
    index = ti.GetIndex();
      
    if (fixedRegion.IsInside(index) &&
        (!m_UsePaddingValue ||
         (m_UsePaddingValue && ti.Get() > m_PaddingValue)))
      {
      InputPointType inputPoint;
      fixedImage->TransformIndexToPhysicalPoint(index, inputPoint);
          
      if( this->m_FixedImageMask && 
         !this->m_FixedImageMask->IsInside( inputPoint ) )
        {
        ++ti;
        continue;
        }

      OutputPointType transformedPoint =
        this->m_Transform->TransformPoint(inputPoint);

      if( this->m_MovingImageMask && 
         !this->m_MovingImageMask->IsInside( transformedPoint ) )
        {
        ++ti;
        continue;
        }

      if ( this->m_Interpolator->IsInsideBuffer(transformedPoint) )
        {
        const RealType movingValue =
          this->m_Interpolator->Evaluate(transformedPoint);
        const RealType fixedValue = ti.Get();
        this->m_NumberOfPixelsCounted++;
          
        typename HistogramType::MeasurementVectorType sample;
#ifdef ITK_USE_REVIEW_STATISTICS
        sample.SetSize(2);
#endif
        sample[0] = fixedValue;
        sample[1] = movingValue;
        histogram.IncreaseFrequency(sample, 1);
        }
      }
      
    ++ti;
    }

  itkDebugMacro("NumberOfPixelsCounted = " << this->m_NumberOfPixelsCounted );
  if (this->m_NumberOfPixelsCounted == 0)
    {
    itkExceptionMacro(
      << "All the points mapped to outside of the moving image");
    }
}

template <class TFixedImage, class TMovingImage>
void
HistogramImageToImageMetric<TFixedImage,TMovingImage>
::CopyHistogram(HistogramType& target, HistogramType& source) const
{
  // Initialize the target.
  typename HistogramType::MeasurementVectorType min, max;

#ifdef ITK_USE_REVIEW_STATISTICS
  min.SetSize(2);
  max.SetSize(2);
#endif

  typename HistogramType::SizeType size = source.GetSize();

  for (unsigned int i = 0; i < min.Size(); i++)
    {
    min[i] = source.GetBinMin(i, 0);
    }
  
  for (unsigned int i = 0; i < max.Size(); i++)
    {
    max[i] = source.GetBinMax(i, size[i] - 1);
    }

  target.Initialize(size, min, max);

  // Copy the values.
  typename HistogramType::Iterator sourceIt = source.Begin();
  typename HistogramType::Iterator sourceEnd = source.End();
  typename HistogramType::Iterator targetIt = target.Begin();
  typename HistogramType::Iterator targetEnd = target.End();

  while (sourceIt != sourceEnd && targetIt != targetEnd)
    {
#ifdef ITK_USE_REVIEW_STATISTICS
    typename HistogramType::AbsoluteFrequencyType 
#else
    typename HistogramType::FrequencyType 
#endif
      freq = sourceIt.GetFrequency();
      
    if (freq > 0)
      {
      targetIt.SetFrequency(freq);
      }
      
    ++sourceIt;
    ++targetIt;
    }
}

template <class TFixedImage, class TMovingImage>
void
HistogramImageToImageMetric<TFixedImage,TMovingImage>
::PrintSelf(std::ostream& os, Indent indent) const
{
  Superclass::PrintSelf(os,indent);
  os << indent << "Padding value: "
     << static_cast<typename NumericTraits<FixedImagePixelType>::PrintType>(
                                                             m_PaddingValue)
     << std::endl;
  os << indent << "Use padding value?: " << m_UsePaddingValue << std::endl;
  os << indent << "Derivative step length: " << m_DerivativeStepLength
     << std::endl;
  os << indent << "Derivative step length scales: ";
  os << m_DerivativeStepLengthScales << std::endl;
  os << indent << "Histogram size: ";
  os << m_HistogramSize << std::endl;
  os << indent << "Histogram upper bound increase factor: ";
  os << m_UpperBoundIncreaseFactor << std::endl;
  os << indent << "Histogram computed by GetValue(): ";
  os << m_Histogram.GetPointer() << std::endl;
}

} // end namespace itk

#endif // itkHistogramImageToImageMetric_txx