/usr/include/InsightToolkit/Algorithms/itkMultiResolutionImageRegistrationMethod.txx is in libinsighttoolkit3-dev 3.20.1-1.
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Program: Insight Segmentation & Registration Toolkit
Module: itkMultiResolutionImageRegistrationMethod.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 __itkMultiResolutionImageRegistrationMethod_txx
#define __itkMultiResolutionImageRegistrationMethod_txx
#include "itkMultiResolutionImageRegistrationMethod.h"
#include "itkRecursiveMultiResolutionPyramidImageFilter.h"
namespace itk
{
/**
* Constructor
*/
template < typename TFixedImage, typename TMovingImage >
MultiResolutionImageRegistrationMethod<TFixedImage,TMovingImage>
::MultiResolutionImageRegistrationMethod()
{
this->SetNumberOfRequiredOutputs( 1 ); // for the Transform
m_FixedImage = 0; // has to be provided by the user.
m_MovingImage = 0; // has to be provided by the user.
m_Transform = 0; // has to be provided by the user.
m_Interpolator = 0; // has to be provided by the user.
m_Metric = 0; // has to be provided by the user.
m_Optimizer = 0; // has to be provided by the user.
// Use MultiResolutionPyramidImageFilter as the default
// image pyramids.
m_FixedImagePyramid = FixedImagePyramidType::New();
m_MovingImagePyramid = MovingImagePyramidType::New();
m_NumberOfLevels = 1;
m_CurrentLevel = 0;
m_Stop = false;
m_ScheduleSpecified = false;
m_NumberOfLevelsSpecified = false;
m_InitialTransformParameters = ParametersType(1);
m_InitialTransformParametersOfNextLevel = ParametersType(1);
m_LastTransformParameters = ParametersType(1);
m_InitialTransformParameters.Fill( 0.0f );
m_InitialTransformParametersOfNextLevel.Fill( 0.0f );
m_LastTransformParameters.Fill( 0.0f );
TransformOutputPointer transformDecorator =
static_cast< TransformOutputType * >(
this->MakeOutput(0).GetPointer() );
this->ProcessObject::SetNthOutput( 0, transformDecorator.GetPointer() );
}
/*
* Initialize by setting the interconnects between components.
*/
template < typename TFixedImage, typename TMovingImage >
void
MultiResolutionImageRegistrationMethod<TFixedImage,TMovingImage>
::Initialize() throw (ExceptionObject)
{
// Sanity checks
if ( !m_Metric )
{
itkExceptionMacro(<<"Metric is not present" );
}
if ( !m_Optimizer )
{
itkExceptionMacro(<<"Optimizer is not present" );
}
if( !m_Transform )
{
itkExceptionMacro(<<"Transform is not present");
}
if( !m_Interpolator )
{
itkExceptionMacro(<<"Interpolator is not present");
}
// Setup the metric
m_Metric->SetMovingImage( m_MovingImagePyramid->GetOutput(m_CurrentLevel) );
m_Metric->SetFixedImage( m_FixedImagePyramid->GetOutput(m_CurrentLevel) );
m_Metric->SetTransform( m_Transform );
m_Metric->SetInterpolator( m_Interpolator );
m_Metric->SetFixedImageRegion( m_FixedImageRegionPyramid[ m_CurrentLevel ] );
m_Metric->Initialize();
// Setup the optimizer
m_Optimizer->SetCostFunction( m_Metric );
m_Optimizer->SetInitialPosition( m_InitialTransformParametersOfNextLevel );
//
// Connect the transform to the Decorator.
//
TransformOutputType * transformOutput =
static_cast< TransformOutputType * >( this->ProcessObject::GetOutput(0) );
transformOutput->Set( m_Transform.GetPointer() );
}
/*
* Stop the Registration Process
*/
template < typename TFixedImage, typename TMovingImage >
void
MultiResolutionImageRegistrationMethod<TFixedImage,TMovingImage>
::StopRegistration( void )
{
m_Stop = true;
}
/**
* Set the schedules for the fixed and moving image pyramid
*/
template < typename TFixedImage, typename TMovingImage >
void
MultiResolutionImageRegistrationMethod<TFixedImage,TMovingImage>
::SetSchedules( const ScheduleType & fixedImagePyramidSchedule,
const ScheduleType & movingImagePyramidSchedule )
{
if( m_NumberOfLevelsSpecified )
{
itkExceptionMacro( "SetSchedules should not be used "
<< "if numberOfLevelves are specified using SetNumberOfLevels" );
}
m_FixedImagePyramidSchedule = fixedImagePyramidSchedule;
m_MovingImagePyramidSchedule = movingImagePyramidSchedule;
m_ScheduleSpecified = true;
//Set the number of levels based on the pyramid schedule specified
if ( m_FixedImagePyramidSchedule.rows() !=
m_MovingImagePyramidSchedule.rows())
{
itkExceptionMacro("The specified schedules contain unequal number of levels");
}
else
{
m_NumberOfLevels = m_FixedImagePyramidSchedule.rows();
}
this->Modified();
}
/**
* Set the number of levels
*/
template < typename TFixedImage, typename TMovingImage >
void
MultiResolutionImageRegistrationMethod<TFixedImage,TMovingImage>
::SetNumberOfLevels( unsigned long numberOfLevels )
{
if( m_ScheduleSpecified )
{
itkExceptionMacro( "SetNumberOfLevels should not be used "
<< "if schedules have been specified using SetSchedules method " );
}
m_NumberOfLevels = numberOfLevels;
m_NumberOfLevelsSpecified = true;
this->Modified();
}
/**
* Stop the Registration Process
*/
template < typename TFixedImage, typename TMovingImage >
void
MultiResolutionImageRegistrationMethod<TFixedImage,TMovingImage>
::PreparePyramids( void )
{
if( !m_Transform )
{
itkExceptionMacro(<<"Transform is not present");
}
m_InitialTransformParametersOfNextLevel = m_InitialTransformParameters;
if ( m_InitialTransformParametersOfNextLevel.Size() !=
m_Transform->GetNumberOfParameters() )
{
itkExceptionMacro(<<"Size mismatch between initial parameter and transform");
}
// Sanity checks
if( !m_FixedImage )
{
itkExceptionMacro(<<"FixedImage is not present");
}
if( !m_MovingImage )
{
itkExceptionMacro(<<"MovingImage is not present");
}
if( !m_FixedImagePyramid )
{
itkExceptionMacro(<<"Fixed image pyramid is not present");
}
if( !m_MovingImagePyramid )
{
itkExceptionMacro(<<"Moving image pyramid is not present");
}
// Setup the fixed and moving image pyramid
if( m_NumberOfLevelsSpecified )
{
m_FixedImagePyramid->SetNumberOfLevels( m_NumberOfLevels );
m_MovingImagePyramid->SetNumberOfLevels( m_NumberOfLevels );
}
if( m_ScheduleSpecified )
{
m_FixedImagePyramid->SetNumberOfLevels( m_FixedImagePyramidSchedule.rows());
m_FixedImagePyramid->SetSchedule( m_FixedImagePyramidSchedule );
m_MovingImagePyramid->SetNumberOfLevels( m_MovingImagePyramidSchedule.rows());
m_MovingImagePyramid->SetSchedule( m_MovingImagePyramidSchedule );
}
m_FixedImagePyramid->SetInput( m_FixedImage );
m_FixedImagePyramid->UpdateLargestPossibleRegion();
// Setup the moving image pyramid
m_MovingImagePyramid->SetInput( m_MovingImage );
m_MovingImagePyramid->UpdateLargestPossibleRegion();
typedef typename FixedImageRegionType::SizeType SizeType;
typedef typename FixedImageRegionType::IndexType IndexType;
ScheduleType schedule = m_FixedImagePyramid->GetSchedule();
itkDebugMacro ( << "FixedImage schedule: " << schedule );
ScheduleType movingschedule = m_MovingImagePyramid->GetSchedule();
itkDebugMacro ( << "MovingImage schedule: " << movingschedule );
SizeType inputSize = m_FixedImageRegion.GetSize();
IndexType inputStart = m_FixedImageRegion.GetIndex();
const unsigned long numberOfLevels =
m_FixedImagePyramid->GetNumberOfLevels();
m_FixedImageRegionPyramid.reserve( numberOfLevels );
m_FixedImageRegionPyramid.resize( numberOfLevels );
// Compute the FixedImageRegion corresponding to each level of the
// pyramid. This uses the same algorithm of the ShrinkImageFilter
// since the regions should be compatible.
for ( unsigned int level=0; level < numberOfLevels; level++ )
{
SizeType size;
IndexType start;
for ( unsigned int dim = 0; dim < TFixedImage::ImageDimension; dim++)
{
const float scaleFactor = static_cast<float>( schedule[ level ][ dim ] );
size[ dim ] = static_cast<typename SizeType::SizeValueType>(
vcl_floor(static_cast<float>( inputSize[ dim ] ) / scaleFactor ) );
if( size[ dim ] < 1 )
{
size[ dim ] = 1;
}
start[ dim ] = static_cast<typename IndexType::IndexValueType>(
vcl_ceil(static_cast<float>( inputStart[ dim ] ) / scaleFactor ) );
}
m_FixedImageRegionPyramid[ level ].SetSize( size );
m_FixedImageRegionPyramid[ level ].SetIndex( start );
}
}
/*
* Starts the Registration Process
*/
template < typename TFixedImage, typename TMovingImage >
void
MultiResolutionImageRegistrationMethod<TFixedImage,TMovingImage>
::StartRegistration( void )
{
// StartRegistration is an old API from before
// this egistrationMethod was a subclass of ProcessObject.
// Historically, one could call StartRegistration() instead of
// calling Update(). However, when called directly by the user, the
// inputs to the RegistrationMethod may not be up to date. This
// may cause an unexpected behavior.
//
// Since we cannot eliminate StartRegistration for backward
// compability reasons, we check whether StartRegistration was
// called directly or whether Update() (which in turn called
// StartRegistration()).
if (!m_Updating)
{
this->Update();
}
else
{
m_Stop = false;
this->PreparePyramids();
for ( m_CurrentLevel = 0; m_CurrentLevel < m_NumberOfLevels;
m_CurrentLevel++ )
{
// Invoke an iteration event.
// This allows a UI to reset any of the components between
// resolution level.
this->InvokeEvent( IterationEvent() );
// Check if there has been a stop request
if ( m_Stop )
{
break;
}
try
{
// initialize the interconnects between components
this->Initialize();
}
catch( ExceptionObject& err )
{
m_LastTransformParameters = ParametersType(1);
m_LastTransformParameters.Fill( 0.0f );
// pass exception to caller
throw err;
}
try
{
// do the optimization
m_Optimizer->StartOptimization();
}
catch( ExceptionObject& err )
{
// An error has occurred in the optimization.
// Update the parameters
m_LastTransformParameters = m_Optimizer->GetCurrentPosition();
// Pass exception to caller
throw err;
}
// get the results
m_LastTransformParameters = m_Optimizer->GetCurrentPosition();
m_Transform->SetParameters( m_LastTransformParameters );
// setup the initial parameters for next level
if ( m_CurrentLevel < m_NumberOfLevels - 1 )
{
m_InitialTransformParametersOfNextLevel =
m_LastTransformParameters;
}
}
}
}
/*
* PrintSelf
*/
template < typename TFixedImage, typename TMovingImage >
void
MultiResolutionImageRegistrationMethod<TFixedImage,TMovingImage>
::PrintSelf(std::ostream& os, Indent indent) const
{
Superclass::PrintSelf( os, indent );
os << indent << "Metric: " << m_Metric.GetPointer() << std::endl;
os << indent << "Optimizer: " << m_Optimizer.GetPointer() << std::endl;
os << indent << "Transform: " << m_Transform.GetPointer() << std::endl;
os << indent << "Interpolator: " << m_Interpolator.GetPointer() << std::endl;
os << indent << "FixedImage: " << m_FixedImage.GetPointer() << std::endl;
os << indent << "MovingImage: " << m_MovingImage.GetPointer() << std::endl;
os << indent << "FixedImagePyramid: ";
os << m_FixedImagePyramid.GetPointer() << std::endl;
os << indent << "MovingImagePyramid: ";
os << m_MovingImagePyramid.GetPointer() << std::endl;
os << indent << "NumberOfLevels: ";
os << m_NumberOfLevels << std::endl;
os << indent << "CurrentLevel: ";
os << m_CurrentLevel << std::endl;
os << indent << "InitialTransformParameters: ";
os << m_InitialTransformParameters << std::endl;
os << indent << "InitialTransformParametersOfNextLevel: ";
os << m_InitialTransformParametersOfNextLevel << std::endl;
os << indent << "LastTransformParameters: ";
os << m_LastTransformParameters << std::endl;
os << indent << "FixedImageRegion: ";
os << m_FixedImageRegion << std::endl;
for(unsigned int level=0; level< m_FixedImageRegionPyramid.size(); level++)
{
os << indent << "FixedImageRegion at level " << level << ": ";
os << m_FixedImageRegionPyramid[level] << std::endl;
}
os << indent << "FixedImagePyramidSchedule : " << std::endl;
os << m_FixedImagePyramidSchedule << std::endl;
os << indent << "MovingImagePyramidSchedule : " << std::endl;
os << m_MovingImagePyramidSchedule << std::endl;
}
/*
* Generate Data
*/
template < typename TFixedImage, typename TMovingImage >
void
MultiResolutionImageRegistrationMethod<TFixedImage,TMovingImage>
::GenerateData()
{
this->StartRegistration();
}
template < typename TFixedImage, typename TMovingImage >
unsigned long
MultiResolutionImageRegistrationMethod<TFixedImage,TMovingImage>
::GetMTime() const
{
unsigned long mtime = Superclass::GetMTime();
unsigned long m;
// Some of the following should be removed once ivars are put in the
// input and output lists
if (m_Transform)
{
m = m_Transform->GetMTime();
mtime = (m > mtime ? m : mtime);
}
if (m_Interpolator)
{
m = m_Interpolator->GetMTime();
mtime = (m > mtime ? m : mtime);
}
if (m_Metric)
{
m = m_Metric->GetMTime();
mtime = (m > mtime ? m : mtime);
}
if (m_Optimizer)
{
m = m_Optimizer->GetMTime();
mtime = (m > mtime ? m : mtime);
}
if (m_FixedImage)
{
m = m_FixedImage->GetMTime();
mtime = (m > mtime ? m : mtime);
}
if (m_MovingImage)
{
m = m_MovingImage->GetMTime();
mtime = (m > mtime ? m : mtime);
}
return mtime;
}
/*
* Get Output
*/
template < typename TFixedImage, typename TMovingImage >
const typename MultiResolutionImageRegistrationMethod<TFixedImage,TMovingImage>::TransformOutputType *
MultiResolutionImageRegistrationMethod<TFixedImage,TMovingImage>
::GetOutput() const
{
return static_cast< const TransformOutputType * >( this->ProcessObject::GetOutput(0) );
}
template < typename TFixedImage, typename TMovingImage >
DataObject::Pointer
MultiResolutionImageRegistrationMethod<TFixedImage,TMovingImage>
::MakeOutput(unsigned int output)
{
switch (output)
{
case 0:
return static_cast<DataObject*>(TransformOutputType::New().GetPointer());
break;
default:
itkExceptionMacro("MakeOutput request for an output number larger than the expected number of outputs");
return 0;
}
}
} // end namespace itk
#endif
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