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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 "itkImageFileReader.h"
#include "itkBSplineTransform.h"
#include "itkBSplineTransformInitializer.h"
#include "itkPermuteAxesImageFilter.h"
#include "itkObject.h"
#include "itkTestingMacros.h"
#include <fstream>
// This test is meant to demonstrate the transform domain defining issues
// associated with the current B-spline deformable transform initializer
// class. Hans Johnson pointed out that the current initializer class
// uses the image information to construct the B-spline grid in contrast
// to how the image domain resides in physical space. So, for example, if
// a user initilializes a control point grid from a given image and then
// constructs a second control point grid from a permuted version of the
// given image (using the itkPermuteAxesImageFilter class) the second control
// point grid will be oriented completely different from the first image
// even though the image and it's permuted counterpart are situated in physical
// domain precisely the same way.
int itkBSplineTransformInitializerTest2( int argc, char * argv[] )
{
if( argc < 2 )
{
std::cerr << "Missing Parameters " << std::endl;
std::cerr << "Usage: " << argv[0] << " fixedImage ";
return EXIT_FAILURE;
}
const unsigned int ImageDimension = 2;
typedef unsigned char PixelType;
typedef itk::Image< PixelType, ImageDimension > FixedImageType;
typedef itk::ImageFileReader< FixedImageType > FixedReaderType;
FixedReaderType::Pointer fixedReader = FixedReaderType::New();
fixedReader->SetFileName( argv[1] );
try
{
fixedReader->Update();
}
catch( itk::ExceptionObject & excp )
{
std::cerr << "Exception thrown " << std::endl;
std::cerr << excp << std::endl;
return EXIT_FAILURE;
}
// We first use the passed fixed image to construct the control point
// grid and save the control point locations.
FixedImageType::ConstPointer fixedImage = fixedReader->GetOutput();
const unsigned int SpaceDimension = ImageDimension;
const unsigned int SplineOrder = 3;
typedef double CoordinateRepType;
typedef itk::BSplineTransform< CoordinateRepType, SpaceDimension,
SplineOrder > TransformType;
TransformType::Pointer bsplineTransform = TransformType::New();
typedef itk::BSplineTransformInitializer< TransformType, FixedImageType >
InitializerType;
InitializerType::Pointer transformInitializer = InitializerType::New();
EXERCISE_BASIC_OBJECT_METHODS( transformInitializer, BSplineTransformInitializer,
Object );
transformInitializer->SetTransform( bsplineTransform );
TEST_SET_GET_VALUE( bsplineTransform, transformInitializer->GetTransform() );
transformInitializer->SetImage( fixedImage );
TEST_SET_GET_VALUE( fixedImage, transformInitializer->GetImage() );
TransformType::CoefficientImageArray coefficientImages;
transformInitializer->InitializeTransform();
TransformType::MeshSizeType meshSize;
meshSize[0] = 5;
meshSize[1] = 6;
bsplineTransform->SetTransformDomainMeshSize( meshSize );
coefficientImages = bsplineTransform->GetCoefficientImages();
std::vector<FixedImageType::PointType> controlPointLocations;
typedef TransformType::ImageType CoefficientImageType;
itk::ImageRegionIteratorWithIndex<CoefficientImageType> it(
coefficientImages[0], coefficientImages[0]->GetLargestPossibleRegion() );
for( it.GoToBegin(); !it.IsAtEnd(); ++it )
{
FixedImageType::PointType point;
coefficientImages[0]->TransformIndexToPhysicalPoint( it.GetIndex(),
point );
controlPointLocations.push_back( point );
}
// We permute the fixed image and construct the control point grid using
// the same grid size. The idea is that since the two images reside in
// physical space precisely the same way, the two sets of control points should
// be the same.
typedef itk::PermuteAxesImageFilter<FixedImageType> PermuterType;
PermuterType::Pointer permuter = PermuterType::New();
PermuterType::PermuteOrderArrayType array;
array[0] = 1;
array[1] = 0;
permuter->SetInput( fixedImage );
permuter->SetOrder( array );
permuter->Update();
TransformType::Pointer bsplineTransform2 = TransformType::New();
InitializerType::Pointer transformInitializer2 = InitializerType::New();
EXERCISE_BASIC_OBJECT_METHODS( transformInitializer2, BSplineTransformInitializer,
Object );
transformInitializer2->SetTransform( bsplineTransform2 );
transformInitializer2->SetImage( permuter->GetOutput() );
transformInitializer2->InitializeTransform();
bsplineTransform2->SetTransformDomainMeshSize( meshSize );
coefficientImages = bsplineTransform2->GetCoefficientImages();
std::vector<FixedImageType::PointType> controlPointLocations2;
itk::ImageRegionIteratorWithIndex<CoefficientImageType> it2(
coefficientImages[0], coefficientImages[0]->GetLargestPossibleRegion() );
for( it2.GoToBegin(); !it2.IsAtEnd(); ++it2 )
{
FixedImageType::PointType point;
coefficientImages[0]->TransformIndexToPhysicalPoint( it2.GetIndex(),
point );
controlPointLocations2.push_back( point );
}
std::vector<FixedImageType::PointType>::const_iterator it3;
std::vector<FixedImageType::PointType>::const_iterator it4;
for( it3 = controlPointLocations.begin(), it4 = controlPointLocations2.begin();
it3 != controlPointLocations.end(); ++it3, ++it4 )
{
if( *it3 != *it4 )
{
std::cerr << "Control point locations are different." << std::endl;
return EXIT_FAILURE;
}
}
return EXIT_SUCCESS;
}
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