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itkFastMarchingExtensionImageFilter.txx
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itkFastMarchingExtensionImageFilter.txx
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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkFastMarchingExtensionImageFilter.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 _itkFastMarchingExtensionImageFilter_txx
#define _itkFastMarchingExtensionImageFilter_txx
#include "itkFastMarchingExtensionImageFilter.h"
namespace itk
{
/*
*
*/
template <class TLevelSet, class TAuxValue, unsigned int VAuxDimension,
class TSpeedImage>
FastMarchingExtensionImageFilter<TLevelSet,TAuxValue,VAuxDimension,TSpeedImage>
::FastMarchingExtensionImageFilter()
{
m_AuxAliveValues = NULL;
m_AuxTrialValues = NULL;
this->ProcessObject::SetNumberOfRequiredOutputs( 1 + AuxDimension );
AuxImagePointer ptr;
for ( unsigned int k = 0; k < VAuxDimension; k++ )
{
ptr = AuxImageType::New();
this->ProcessObject::SetNthOutput( k+1, ptr.GetPointer() );
}
}
/*
*
*/
template <class TLevelSet, class TAuxValue, unsigned int VAuxDimension,
class TSpeedImage>
void
FastMarchingExtensionImageFilter<TLevelSet,TAuxValue,VAuxDimension,TSpeedImage>
::PrintSelf(std::ostream& os, Indent indent) const
{
Superclass::PrintSelf(os,indent);
os << indent << "Aux alive values: ";
os << m_AuxAliveValues.GetPointer() << std::endl;
os << indent << "Aux trail values: ";
os << m_AuxTrialValues.GetPointer() << std::endl;
}
/*
*
*/
template <class TLevelSet, class TAuxValue, unsigned int VAuxDimension,
class TSpeedImage>
typename FastMarchingExtensionImageFilter<TLevelSet,TAuxValue,VAuxDimension,TSpeedImage>
::AuxImageType *
FastMarchingExtensionImageFilter<TLevelSet,TAuxValue,VAuxDimension,TSpeedImage>
::GetAuxiliaryImage( unsigned int idx )
{
if ( idx >= AuxDimension || this->GetNumberOfOutputs() < idx + 2 )
{
return NULL;
}
return static_cast<AuxImageType *>( this->ProcessObject::GetOutput(idx + 1) );
}
/*
*
*/
template <class TLevelSet, class TAuxValue, unsigned int VAuxDimension,
class TSpeedImage>
void
FastMarchingExtensionImageFilter<TLevelSet,TAuxValue,VAuxDimension,TSpeedImage>
::GenerateOutputInformation()
{
// call the superclass implementation of this function
this->Superclass::GenerateOutputInformation();
// set the size of all the auxiliary outputs
// to be the same as the primary output
typename Superclass::LevelSetPointer primaryOutput = this->GetOutput();
for ( unsigned int k = 0; k < VAuxDimension; k++ )
{
AuxImageType * ptr = this->GetAuxiliaryImage(k);
ptr->CopyInformation( primaryOutput );
}
}
/*
*
*/
template <class TLevelSet, class TAuxValue, unsigned int VAuxDimension,
class TSpeedImage>
void
FastMarchingExtensionImageFilter<TLevelSet,TAuxValue,VAuxDimension,TSpeedImage>
::EnlargeOutputRequestedRegion(
DataObject * itkNotUsed(output) )
{
// This filter requires all of the output images in the buffer.
for ( unsigned int j = 0; j < this->GetNumberOfOutputs(); j++ )
{
if ( this->ProcessObject::GetOutput(j) )
{
this->ProcessObject::GetOutput(j)->SetRequestedRegionToLargestPossibleRegion();
}
}
}
/*
*
*/
template <class TLevelSet, class TAuxValue, unsigned int VAuxDimension,
class TSpeedImage>
void
FastMarchingExtensionImageFilter<TLevelSet,TAuxValue,VAuxDimension,TSpeedImage>
::Initialize( LevelSetImageType * output )
{
this->Superclass::Initialize( output );
if ( this->GetAlivePoints() && !m_AuxAliveValues )
{
itkExceptionMacro(<<"in Initialize(): Null pointer for AuxAliveValues" );
}
if ( m_AuxAliveValues &&
m_AuxAliveValues->Size() != (this->GetAlivePoints())->Size() )
{
itkExceptionMacro(<<"in Initialize(): AuxAliveValues is the wrong size" );
}
if ( this->GetTrialPoints() && !m_AuxTrialValues )
{
itkExceptionMacro(<<"in Initialize(): Null pointer for AuxTrialValues" );
}
if ( m_AuxTrialValues &&
m_AuxTrialValues->Size() != (this->GetTrialPoints())->Size() )
{
itkExceptionMacro(<<"in Initialize(): AuxTrialValues is the wrong size" );
}
AuxImagePointer auxImages[AuxDimension];
// allocate memory for the auxiliary outputs
for ( unsigned int k = 0; k < VAuxDimension; k++ )
{
AuxImageType * ptr = this->GetAuxiliaryImage( k );
ptr->SetBufferedRegion( ptr->GetRequestedRegion() );
ptr->Allocate();
auxImages[k] = ptr;
}
// set all alive points to alive
typename Superclass::NodeType node;
AuxValueVectorType auxVec;
if ( m_AuxAliveValues )
{
typename AuxValueContainer::ConstIterator auxIter = m_AuxAliveValues->Begin();
typename Superclass::NodeContainer::ConstIterator pointsIter = (this->GetAlivePoints())->Begin();
typename Superclass::NodeContainer::ConstIterator pointsEnd = (this->GetAlivePoints())->End();
for ( ; pointsIter != pointsEnd; ++pointsIter, ++auxIter )
{
node = pointsIter.Value();
auxVec = auxIter.Value();
// check if node index is within the output level set
if ( !this->GetOutput()->GetBufferedRegion().IsInside( node.GetIndex() ) )
{
continue;
}
for ( unsigned int k = 0; k < VAuxDimension; k++ )
{
auxImages[k]->SetPixel( node.GetIndex(), auxVec[k] );
}
} // end container loop
} // if AuxAliveValues set
if ( m_AuxTrialValues )
{
typename AuxValueContainer::ConstIterator auxIter = m_AuxTrialValues->Begin();
typename Superclass::NodeContainer::ConstIterator pointsIter = (this->GetTrialPoints())->Begin();
typename Superclass::NodeContainer::ConstIterator pointsEnd = (this->GetTrialPoints())->End();
for ( ; pointsIter != pointsEnd; ++pointsIter, ++auxIter )
{
node = pointsIter.Value();
auxVec = auxIter.Value();
// check if node index is within the output level set
if ( !this->GetOutput()->GetBufferedRegion().IsInside( node.GetIndex() ) )
{
continue;
}
for ( unsigned int k = 0; k < VAuxDimension; k++ )
{
auxImages[k]->SetPixel( node.GetIndex(), auxVec[k] );
}
} // end container loop
} // if AuxTrialValues set
}
/*
*
*/
template <class TLevelSet, class TAuxValue, unsigned int VAuxDimension,
class TSpeedImage>
double
FastMarchingExtensionImageFilter<TLevelSet,TAuxValue,VAuxDimension,TSpeedImage>
::UpdateValue(
const IndexType& index,
const SpeedImageType * speed,
LevelSetImageType * output )
{
// A extension value at node is choosen such that
// grad(F) dot_product grad(Phi) = 0
// where F is the extended speed function and Phi is
// the level set function.
//
// The extension value can approximated as a weighted
// sum of the values from nodes used in the calculation
// of the distance by the superclass.
//
// For more detail see Chapter 11 of
// "Level Set Methods and Fast Marching Methods", J.A. Sethian,
// Cambridge Press, Second edition, 1999.
double solution = this->Superclass::UpdateValue( index, speed, output );
typename Superclass::NodeType node;
if ( solution < this->GetLargeValue() )
{
// update auxiliary values
for ( unsigned int k = 0; k < VAuxDimension; k++ )
{
double numer = 0.0;
double denom = 0. ;
AuxValueType auxVal;
for( unsigned int j = 0; j < SetDimension; j++ )
{
node = this->GetNodeUsedInCalculation(j);
if( solution < node.GetValue() )
{
break;
}
auxVal = this->GetAuxiliaryImage(k)->GetPixel( node.GetIndex() );
numer += auxVal * ( solution - node.GetValue() );
denom += solution - node.GetValue();
}
if( denom > 0 )
{
auxVal = static_cast<AuxValueType>( numer / denom );
}
else
{
auxVal = NumericTraits<AuxValueType>::Zero;
}
this->GetAuxiliaryImage(k)->SetPixel( index, auxVal );
}
}
return solution;
}
} // namespace itk
#endif