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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkDemonsRegistrationFilterTest.cxx,v $
Language: C++
Date: $Date: 2005-04-25 15:23:59 $
Version: $Revision: 1.25 $
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.
=========================================================================*/
#if defined(_MSC_VER)
#pragma warning ( disable : 4786 )
#endif
#include "itkDemonsRegistrationFilter.h"
#include "itkIndex.h"
#include "itkImageRegionIteratorWithIndex.h"
#include "itkWarpImageFilter.h"
#include "itkNearestNeighborInterpolateImageFunction.h"
#include "itkCommand.h"
#include "vnl/vnl_math.h"
#include "itkVectorCastImageFilter.h"
namespace{
// The following class is used to support callbacks
// on the filter in the pipeline that follows later
template<typename TRegistration>
class ShowProgressObject
{
public:
ShowProgressObject(TRegistration* o)
{m_Process = o;}
void ShowProgress()
{
std::cout << "Progress: " << m_Process->GetProgress() << " ";
std::cout << "Iter: " << m_Process->GetElapsedIterations() << " ";
std::cout << "Metric: " << m_Process->GetMetric() << " ";
std::cout << "RMSChange: " << m_Process->GetRMSChange() << " ";
std::cout << std::endl;
if ( m_Process->GetElapsedIterations() == 150 )
{ m_Process->StopRegistration(); }
}
typename TRegistration::Pointer m_Process;
};
}
// Template function to fill in an image with a circle.
template <class TImage>
void
FillWithCircle(
TImage * image,
double * center,
double radius,
typename TImage::PixelType foregnd,
typename TImage::PixelType backgnd )
{
typedef itk::ImageRegionIteratorWithIndex<TImage> Iterator;
Iterator it( image, image->GetBufferedRegion() );
it.Begin();
typename TImage::IndexType index;
double r2 = vnl_math_sqr( radius );
for( ; !it.IsAtEnd(); ++it )
{
index = it.GetIndex();
double distance = 0;
for( unsigned int j = 0; j < TImage::ImageDimension; j++ )
{
distance += vnl_math_sqr((double) index[j] - center[j]);
}
if( distance <= r2 ) it.Set( foregnd );
else it.Set( backgnd );
}
}
// Template function to copy image regions
template <class TImage>
void
CopyImageBuffer(
TImage *input,
TImage *output )
{
typedef itk::ImageRegionIteratorWithIndex<TImage> Iterator;
Iterator inIt( input, output->GetBufferedRegion() );
Iterator outIt( output, output->GetBufferedRegion() );
for( ; !inIt.IsAtEnd(); ++inIt, ++outIt )
{
outIt.Set( inIt.Get() );
}
}
int itkDemonsRegistrationFilterTest(int, char* [] )
{
typedef unsigned char PixelType;
enum {ImageDimension = 2};
typedef itk::Image<PixelType,ImageDimension> ImageType;
typedef itk::Vector<float,ImageDimension> VectorType;
typedef itk::Image<VectorType,ImageDimension> FieldType;
typedef itk::Image<VectorType::ValueType,ImageDimension> FloatImageType;
typedef ImageType::IndexType IndexType;
typedef ImageType::SizeType SizeType;
typedef ImageType::RegionType RegionType;
//--------------------------------------------------------
std::cout << "Generate input images and initial deformation field";
std::cout << std::endl;
unsigned long sizeArray[ImageDimension] = { 128, 128 };
SizeType size;
size.SetSize( sizeArray );
IndexType index;
index.Fill( 0 );
RegionType region;
region.SetSize( size );
region.SetIndex( index );
ImageType::Pointer moving = ImageType::New();
ImageType::Pointer fixed = ImageType::New();
FieldType::Pointer initField = FieldType::New();
moving->SetLargestPossibleRegion( region );
moving->SetBufferedRegion( region );
moving->Allocate();
fixed->SetLargestPossibleRegion( region );
fixed->SetBufferedRegion( region );
fixed->Allocate();
initField->SetLargestPossibleRegion( region );
initField->SetBufferedRegion( region );
initField->Allocate();
double center[ImageDimension];
double radius;
PixelType fgnd = 250;
PixelType bgnd = 15;
// fill moving with circle
center[0] = 64; center[1] = 64; radius = 30;
FillWithCircle<ImageType>( moving, center, radius, fgnd, bgnd );
// fill fixed with circle
center[0] = 62; center[1] = 64; radius = 32;
FillWithCircle<ImageType>( fixed, center, radius, fgnd, bgnd );
// fill initial deformation with zero vectors
VectorType zeroVec;
zeroVec.Fill( 0.0 );
initField->FillBuffer( zeroVec );
typedef itk::VectorCastImageFilter<FieldType,FieldType> CasterType;
CasterType::Pointer caster = CasterType::New();
caster->SetInput( initField );
caster->InPlaceOff();
//-------------------------------------------------------------
std::cout << "Run registration and warp moving" << std::endl;
typedef itk::DemonsRegistrationFilter<ImageType,ImageType,FieldType>
RegistrationType;
RegistrationType::Pointer registrator = RegistrationType::New();
registrator->SetInitialDeformationField( caster->GetOutput() );
registrator->SetMovingImage( moving );
registrator->SetFixedImage( fixed );
registrator->SetNumberOfIterations( 200 );
registrator->SetStandardDeviations( 1.0 );
registrator->SetMaximumError( 0.08 );
registrator->SetMaximumKernelWidth( 10 );
registrator->SetIntensityDifferenceThreshold( 0.001 );
// turn on inplace execution
registrator->InPlaceOn();
// turn on/off use moving image gradient
registrator->UseMovingImageGradientOff();
typedef RegistrationType::DemonsRegistrationFunctionType FunctionType;
FunctionType * fptr;
fptr = dynamic_cast<FunctionType *>(
registrator->GetDifferenceFunction().GetPointer() );
fptr->Print( std::cout );
// exercise other member variables
std::cout << "No. Iterations: " << registrator->GetNumberOfIterations() << std::endl;
std::cout << "Max. kernel error: " << registrator->GetMaximumError() << std::endl;
std::cout << "Max. kernel width: " << registrator->GetMaximumKernelWidth() << std::endl;
double v[ImageDimension];
for ( unsigned int j = 0; j < ImageDimension; j++ )
{
v[j] = registrator->GetStandardDeviations()[j];
}
registrator->SetStandardDeviations( v );
typedef ShowProgressObject<RegistrationType> ProgressType;
ProgressType progressWatch(registrator);
itk::SimpleMemberCommand<ProgressType>::Pointer command;
command = itk::SimpleMemberCommand<ProgressType>::New();
command->SetCallbackFunction(&progressWatch,
&ProgressType::ShowProgress);
registrator->AddObserver( itk::ProgressEvent(), command);
// warp moving image
typedef itk::WarpImageFilter<ImageType,ImageType,FieldType> WarperType;
WarperType::Pointer warper = WarperType::New();
typedef WarperType::CoordRepType CoordRepType;
typedef itk::NearestNeighborInterpolateImageFunction<ImageType,CoordRepType>
InterpolatorType;
InterpolatorType::Pointer interpolator = InterpolatorType::New();
warper->SetInput( moving );
warper->SetDeformationField( registrator->GetOutput() );
warper->SetInterpolator( interpolator );
warper->SetOutputSpacing( fixed->GetSpacing() );
warper->SetOutputOrigin( fixed->GetOrigin() );
warper->Print( std::cout );
warper->Update();
// ---------------------------------------------------------
std::cout << "Compare warped moving and fixed." << std::endl;
// compare the warp and fixed images
itk::ImageRegionIterator<ImageType> fixedIter( fixed,
fixed->GetBufferedRegion() );
itk::ImageRegionIterator<ImageType> warpedIter( warper->GetOutput(),
fixed->GetBufferedRegion() );
unsigned int numPixelsDifferent = 0;
while( !fixedIter.IsAtEnd() )
{
if( fixedIter.Get() != warpedIter.Get() )
{
numPixelsDifferent++;
}
++fixedIter;
++warpedIter;
}
std::cout << "Number of pixels different: " << numPixelsDifferent;
std::cout << std::endl;
if( numPixelsDifferent > 10 )
{
std::cout << "Test failed - too many pixels different." << std::endl;
return EXIT_FAILURE;
}
registrator->Print( std::cout );
// -----------------------------------------------------------
std::cout << "Test running registrator without initial deformation field.";
std::cout << std::endl;
bool passed = true;
try
{
registrator->SetInput( NULL );
registrator->SetNumberOfIterations( 2 );
registrator->Update();
}
catch( itk::ExceptionObject& err )
{
std::cout << "Unexpected error." << std::endl;
std::cout << err << std::endl;
passed = false;
}
if ( !passed )
{
std::cout << "Test failed" << std::endl;
return EXIT_FAILURE;
}
//--------------------------------------------------------------
std::cout << "Test exception handling." << std::endl;
std::cout << "Test NULL moving image. " << std::endl;
passed = false;
try
{
registrator->SetInput( caster->GetOutput() );
registrator->SetMovingImage( NULL );
registrator->Update();
}
catch( itk::ExceptionObject & err )
{
std::cout << "Caught expected error." << std::endl;
std::cout << err << std::endl;
passed = true;
}
if ( !passed )
{
std::cout << "Test failed" << std::endl;
return EXIT_FAILURE;
}
registrator->SetMovingImage( moving );
registrator->ResetPipeline();
std::cout << "Test NULL moving image interpolator. " << std::endl;
passed = false;
try
{
fptr = dynamic_cast<FunctionType *>(
registrator->GetDifferenceFunction().GetPointer() );
fptr->SetMovingImageInterpolator( NULL );
registrator->SetInput( initField );
registrator->Update();
}
catch( itk::ExceptionObject & err )
{
std::cout << "Caught expected error." << std::endl;
std::cout << err << std::endl;
passed = true;
}
if ( !passed )
{
std::cout << "Test failed" << std::endl;
return EXIT_FAILURE;
}
std::cout << "Test passed" << std::endl;
return EXIT_SUCCESS;
}
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