[ITK Community] [Insight-users] c++ code for getting the inverse displacement field form Demon's registration
Tim Bhatnagar
tim.bhatnagar at gmail.com
Thu Jan 2 16:32:08 EST 2014
Hello all,
Would anyone have a WORKING c++/source file that successfully
generates/acquires the inverse displacement field from a Demon's non-rigid
registration field?
Many users have been helping me in achieving this, though I'm worried that
I'm losing some of the finer points in my code implementation.. this is
what I have so far, and it compiles, but the program always crashes at the
same point, after a negative index is created for my new field...
any help is much appreciated.. my c++ code is below:
#include "itkInverseDisplacementFieldImageFilter.h"
#include "itkImageFileWriter.h"
#include "itkImageFileReader.h"
#include "itkFilterWatcher.h"
#include "itkVectorScaleImageFilter.h"
#include "itkImage.h"
#include "itkArray.h"
int main( int argc, char * argv[] )
{
if( argc < 4 )
{
std::cerr << "Missing Parameters " << std::endl;
std::cerr << "Usage: " << argv[0];
std::cerr << "inputDemonsField subSampFactor outputInvertedField" <<
std::endl;
return EXIT_FAILURE;
}
const unsigned int Dimension = 3;
typedef float VectorComponentType;
typedef itk::Vector< VectorComponentType, Dimension > VectorType;
typedef itk::Image< VectorType, Dimension > DisplacementFieldType;
typedef itk::Array< VectorType > ArrayType;
typedef itk::InverseDisplacementFieldImageFilter<
DisplacementFieldType,
DisplacementFieldType
> FilterType;
FilterType::Pointer filter = FilterType::New();
FilterWatcher watcher(filter);
// Read a DisplacementField
typedef itk::ImageFileReader< DisplacementFieldType > ReaderType;
ReaderType::Pointer reader = ReaderType::New();
reader->SetFileName( argv[1] );
reader->Update();
// Obtaining an input displacement field
DisplacementFieldType::Pointer field = reader->GetOutput();
DisplacementFieldType::RegionType inputRegion;
DisplacementFieldType::SizeType inputSize;
DisplacementFieldType::DirectionType inputDirection;
DisplacementFieldType::PointType inputOrigin;
DisplacementFieldType::SpacingType inputSpacing;
inputRegion = field->GetLargestPossibleRegion();
inputSize = field->GetLargestPossibleRegion().GetSize();
inputDirection = field->GetDirection();
inputOrigin = field->GetOrigin();
inputSpacing = field->GetSpacing();
inputRegion.SetIndex(field->GetLargestPossibleRegion().GetIndex());
DisplacementFieldType::Pointer outField = DisplacementFieldType::New();
itk::ImageRegionIteratorWithIndex< DisplacementFieldType > it( field,
inputRegion );
filter->SetOutputSpacing( field->GetSpacing() );
filter->SetOutputOrigin( field->GetOrigin() );
filter->SetSize( inputSize );
filter->SetInput( field );
filter->SetSubsamplingFactor( atof(argv[2]) );
try
{
filter->UpdateLargestPossibleRegion();
}
catch( itk::ExceptionObject & excp )
{
std::cerr << "Exception thrown " << std::endl;
std::cerr << excp << std::endl;
}
// Make template to ensure proper indexing of new def field
DisplacementFieldType::Pointer outField = filter->GetOutput();
DisplacementFieldType::RegionType outputRegion;
outputRegion.SetIndex( inputRegion.GetIndex() );
// Write an image for regression testing
typedef itk::ImageFileWriter< DisplacementFieldType > WriterType;
WriterType::Pointer writer = WriterType::New();
outField->Update();
writer->SetInput (outField );
writer->SetFileName( argv[3] );
try
{
writer->Update();
}
catch( itk::ExceptionObject & excp )
{
std::cerr << "Exception thrown by writer" << std::endl;
std::cerr << excp << std::endl;
return EXIT_FAILURE;
}
// Now, test for loop invariant (acts as filter validation)
// f^-1(f(p1) + p1 ) - f(p1) = 0
it.GoToBegin();
while( !it.IsAtEnd() )
{
DisplacementFieldType::PointType p1;
field->TransformIndexToPhysicalPoint(it.GetIndex(), p1);
DisplacementFieldType::PixelType fp1 = it.Get();
DisplacementFieldType::PointType p2;
p2[0] = p1[0] + fp1[0];
p2[1] = p1[1] + fp1[1];
p2[2] = p1[2] + fp1[2];
DisplacementFieldType::IndexType id2;
outField->TransformPhysicalPointToIndex(p2,id2);
//filter->GetOutput()->TransformPhysicalPointToIndex(p2,id2);
std::cerr << "hurrah" << id2 << std::endl;
DisplacementFieldType::PixelType fp2 = outField->GetPixel(id2);
//DisplacementFieldType::PixelType fp2 =
filter->GetOutput()->GetPixel(id2);
std::cerr << "hurrah2" << std::endl;
if(vcl_abs(fp2[0] + fp1[0]) > 100.000
|| vcl_abs(fp2[1] + fp1[1]) > 100.000
|| vcl_abs(fp2[2] + fp1[2]) > 100.000)
{
std::cerr<<"Loop invariant not satisfied for index
"<<it.GetIndex()<<" : f^-1(f(p1) + p1 ) + f(p1) = 0"<< std::endl;
std::cerr<<"f(p1) = "<<fp1<<std::endl;
std::cerr<<"f^-1(f(p1) + p1 ) = "<<fp2<<std::endl;
std::cerr<<"diff: "<<fp1[0]+fp2[0]<<", "<<fp1[1]+fp2[1]<<",
"<<fp1[2]+fp2[2]<<std::endl;
// return EXIT_FAILURE;
}
++it;
}
return EXIT_SUCCESS;
}
--
Tim Bhatnagar
PhD Candidate
Orthopaedic Injury Biomechanics Group
Department of Mechanical Engineering
University of British Columbia
Rm 5000 - 818 West 10th Ave.
Vancouver, BC
Canada
V5Z 1M9
Ph: (604) 675-8845
Fax: (604) 675-8820
Web: oibg.mech.ubc.ca
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