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/*=========================================================================
*
* Copyright Insight Software Consortium
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
#include "itkAffineTransform.h"
#include "itkBSplineSmoothingOnUpdateDisplacementFieldTransformParametersAdaptor.h"
#include "itkBSplineSyNImageRegistrationMethod.h"
#include "itkEuclideanDistancePointSetToPointSetMetricv4.h"
int itkBSplineSyNPointSetRegistrationTest( int itkNotUsed( argc ), char * itkNotUsed( argv )[] )
{
const unsigned int Dimension = 2;
typedef itk::PointSet<unsigned int, Dimension> PointSetType;
typedef itk::EuclideanDistancePointSetToPointSetMetricv4<PointSetType> PointSetMetricType;
PointSetMetricType::Pointer metric = PointSetMetricType::New();
typedef PointSetMetricType::FixedPointSetType PointSetType;
typedef PointSetType::PointType PointType;
typedef double PixelType;
typedef itk::Image<PixelType, Dimension> FixedImageType;
typedef itk::Image<PixelType, Dimension> MovingImageType;
PointSetType::Pointer fixedPoints = PointSetType::New();
fixedPoints->Initialize();
PointSetType::Pointer movingPoints = PointSetType::New();
movingPoints->Initialize();
// two circles with a small offset
PointType offset;
for( unsigned int d=0; d < PointSetType::PointDimension; d++ )
{
offset[d] = 2.0;
}
unsigned long count = 0;
for( float theta = 0; theta < 2.0 * itk::Math::pi; theta += 0.1 )
{
unsigned int label = static_cast<unsigned int>( 1.5 + count / 100 );
PointType fixedPoint;
float radius = 100.0;
fixedPoint[0] = radius * std::cos( theta );
fixedPoint[1] = radius * std::sin( theta );
if( PointSetType::PointDimension > 2 )
{
fixedPoint[2] = radius * std::sin( theta );
}
fixedPoints->SetPoint( count, fixedPoint );
fixedPoints->SetPointData( count, label );
PointType movingPoint;
movingPoint[0] = fixedPoint[0] + offset[0];
movingPoint[1] = fixedPoint[1] + offset[1];
if( PointSetType::PointDimension > 2 )
{
movingPoint[2] = fixedPoint[2] + offset[2];
}
movingPoints->SetPoint( count, movingPoint );
movingPoints->SetPointData( count, label );
count++;
}
// virtual image domain is [-110,-110] [110,110]
FixedImageType::SizeType fixedImageSize;
FixedImageType::PointType fixedImageOrigin;
FixedImageType::DirectionType fixedImageDirection;
FixedImageType::SpacingType fixedImageSpacing;
fixedImageSize.Fill( 221 );
fixedImageOrigin.Fill( -110 );
fixedImageDirection.SetIdentity();
fixedImageSpacing.Fill( 1 );
FixedImageType::Pointer fixedImage = FixedImageType::New();
fixedImage->SetRegions( fixedImageSize );
fixedImage->SetOrigin( fixedImageOrigin );
fixedImage->SetDirection( fixedImageDirection );
fixedImage->SetSpacing( fixedImageSpacing );
fixedImage->Allocate();
typedef itk::AffineTransform<double, PointSetType::PointDimension> AffineTransformType;
AffineTransformType::Pointer transform = AffineTransformType::New();
transform->SetIdentity();
metric->SetFixedPointSet( fixedPoints );
metric->SetMovingPointSet( movingPoints );
metric->SetVirtualDomainFromImage( fixedImage );
metric->SetMovingTransform( transform );
metric->Initialize();
// Create the SyN deformable registration method
typedef itk::Vector<double, Dimension> VectorType;
VectorType zeroVector( 0.0 );
typedef itk::Image<VectorType, Dimension> DisplacementFieldType;
DisplacementFieldType::Pointer displacementField = DisplacementFieldType::New();
displacementField->CopyInformation( fixedImage );
displacementField->SetRegions( fixedImage->GetBufferedRegion() );
displacementField->Allocate();
displacementField->FillBuffer( zeroVector );
DisplacementFieldType::Pointer inverseDisplacementField = DisplacementFieldType::New();
inverseDisplacementField->CopyInformation( fixedImage );
inverseDisplacementField->SetRegions( fixedImage->GetBufferedRegion() );
inverseDisplacementField->Allocate();
inverseDisplacementField->FillBuffer( zeroVector );
typedef itk::BSplineSyNImageRegistrationMethod<FixedImageType, MovingImageType> DisplacementFieldRegistrationType;
DisplacementFieldRegistrationType::Pointer displacementFieldRegistration = DisplacementFieldRegistrationType::New();
typedef DisplacementFieldRegistrationType::OutputTransformType OutputTransformType;
OutputTransformType::Pointer outputTransform = OutputTransformType::New();
outputTransform->SetDisplacementField( displacementField );
outputTransform->SetInverseDisplacementField( inverseDisplacementField );
displacementFieldRegistration->SetInitialTransform( outputTransform );
displacementFieldRegistration->InPlaceOn();
typedef itk::BSplineSmoothingOnUpdateDisplacementFieldTransformParametersAdaptor<OutputTransformType> DisplacementFieldTransformAdaptorType;
DisplacementFieldRegistrationType::TransformParametersAdaptorsContainerType adaptors;
OutputTransformType::ArrayType updateMeshSize;
OutputTransformType::ArrayType totalMeshSize;
for( unsigned int d = 0; d < Dimension; d++ )
{
updateMeshSize[d] = 10;
totalMeshSize[d] = 0;
}
// Create the transform adaptors
// For the gaussian displacement field, the specified variances are in image spacing terms
// and, in normal practice, we typically don't change these values at each level. However,
// if the user wishes to add that option, they can use the class
// GaussianSmoothingOnUpdateDisplacementFieldTransformAdaptor
unsigned int numberOfLevels = 3;
DisplacementFieldRegistrationType::NumberOfIterationsArrayType numberOfIterationsPerLevel;
numberOfIterationsPerLevel.SetSize( 3 );
numberOfIterationsPerLevel[0] = 1;
numberOfIterationsPerLevel[1] = 1;
numberOfIterationsPerLevel[2] = 50;
DisplacementFieldRegistrationType::ShrinkFactorsArrayType shrinkFactorsPerLevel;
shrinkFactorsPerLevel.SetSize( 3 );
shrinkFactorsPerLevel.Fill( 1 );
DisplacementFieldRegistrationType::SmoothingSigmasArrayType smoothingSigmasPerLevel;
smoothingSigmasPerLevel.SetSize( 3 );
smoothingSigmasPerLevel.Fill( 0 );
for( unsigned int level = 0; level < numberOfLevels; level++ )
{
// We use the shrink image filter to calculate the fixed parameters of the virtual
// domain at each level. To speed up calculation and avoid unnecessary memory
// usage, we could calculate these fixed parameters directly.
typedef itk::ShrinkImageFilter<DisplacementFieldType, DisplacementFieldType> ShrinkFilterType;
ShrinkFilterType::Pointer shrinkFilter = ShrinkFilterType::New();
shrinkFilter->SetShrinkFactors( shrinkFactorsPerLevel[level] );
shrinkFilter->SetInput( displacementField );
shrinkFilter->Update();
DisplacementFieldTransformAdaptorType::Pointer fieldTransformAdaptor = DisplacementFieldTransformAdaptorType::New();
fieldTransformAdaptor->SetRequiredSpacing( shrinkFilter->GetOutput()->GetSpacing() );
fieldTransformAdaptor->SetRequiredSize( shrinkFilter->GetOutput()->GetBufferedRegion().GetSize() );
fieldTransformAdaptor->SetRequiredDirection( shrinkFilter->GetOutput()->GetDirection() );
fieldTransformAdaptor->SetRequiredOrigin( shrinkFilter->GetOutput()->GetOrigin() );
fieldTransformAdaptor->SetTransform( outputTransform );
// A good heuristic is to double the b-spline mesh resolution at each level
OutputTransformType::ArrayType newUpdateMeshSize = updateMeshSize;
OutputTransformType::ArrayType newTotalMeshSize = totalMeshSize;
for( unsigned int d = 0; d < Dimension; d++ )
{
newUpdateMeshSize[d] = newUpdateMeshSize[d] << ( level );
newTotalMeshSize[d] = newTotalMeshSize[d] << ( level );
}
fieldTransformAdaptor->SetMeshSizeForTheUpdateField( newUpdateMeshSize );
fieldTransformAdaptor->SetMeshSizeForTheTotalField( newTotalMeshSize );
adaptors.push_back( fieldTransformAdaptor.GetPointer() );
}
displacementFieldRegistration->SetFixedPointSet( fixedPoints );
displacementFieldRegistration->SetMovingPointSet( movingPoints );
displacementFieldRegistration->SetNumberOfLevels( 3 );
displacementFieldRegistration->SetMovingInitialTransform( transform );
displacementFieldRegistration->SetShrinkFactorsPerLevel( shrinkFactorsPerLevel );
displacementFieldRegistration->SetSmoothingSigmasPerLevel( smoothingSigmasPerLevel );
displacementFieldRegistration->SetMetric( metric );
displacementFieldRegistration->SetLearningRate( 0.25 );
displacementFieldRegistration->SetNumberOfIterationsPerLevel( numberOfIterationsPerLevel );
displacementFieldRegistration->SetTransformParametersAdaptorsPerLevel( adaptors );
outputTransform->SetDisplacementField( displacementField );
outputTransform->SetInverseDisplacementField( inverseDisplacementField );
displacementFieldRegistration->SetInitialTransform( outputTransform );
displacementFieldRegistration->InPlaceOn();
try
{
std::cout << "B-spline SyN point set registration" << std::endl;
displacementFieldRegistration->Update();
}
catch( itk::ExceptionObject &e )
{
std::cerr << "Exception caught: " << e << std::endl;
return EXIT_FAILURE;
}
// applying the resultant transform to moving points and verify result
std::cout << "Fixed\tMoving\tMovingTransformed\tFixedTransformed\tDiff" << std::endl;
PointType::ValueType tolerance = 0.01;
float averageError = 0.0;
for( unsigned int n = 0; n < movingPoints->GetNumberOfPoints(); n++ )
{
// compare the points in virtual domain
PointType transformedMovingPoint =
displacementFieldRegistration->GetModifiableTransform()->GetInverseTransform()->TransformPoint( movingPoints->GetPoint( n ) );
PointType fixedPoint = fixedPoints->GetPoint( n );
PointType transformedFixedPoint = displacementFieldRegistration->GetModifiableTransform()->TransformPoint( fixedPoints->GetPoint( n ) );
PointType difference;
difference[0] = transformedMovingPoint[0] - fixedPoint[0];
difference[1] = transformedMovingPoint[1] - fixedPoint[1];
std::cout << fixedPoints->GetPoint( n ) << "\t" << movingPoints->GetPoint( n )
<< "\t" << transformedMovingPoint << "\t" << transformedFixedPoint << "\t" << difference << std::endl;
averageError += ( ( difference.GetVectorFromOrigin() ).GetSquaredNorm() );
}
unsigned int numberOfPoints = movingPoints->GetNumberOfPoints();
if( numberOfPoints > 0 )
{
averageError /= static_cast<float>( numberOfPoints );
std::cout << "Average error: " << averageError << std::endl;
if( averageError > tolerance )
{
std::cerr << "Results do not match truth within tolerance." << std::endl;
return EXIT_FAILURE;
}
}
else
{
std::cerr << "No points." << std::endl;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
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