[Insight-users] ITK in python and C++

[kevin cavin]

Hi, guys: 
 
           When I use ITK respectively in C++ and Pyhton, with similar set up, (here I mean same registration method, metric, optimizer and interpolator), C++  version allow me register more slice than python version. It is quite strange for me. I can see from the taks manager that PF usage for C++ version can reach 2.89GB, but python version usually stay below 2GB. Does anyone has similar experinces? 
 
         In addition, I can get reasonable registration result in C++ version. BUT the program report Debug error when the application  try to write the difference image into a file 
 
       the code like this 
 
 
      
typedef itk::ResampleImageFilter<MovingImageType, 
FixedImageType > ResampleFilterType;
 
TransformType::Pointer finalTransform = TransformType::New();
finalTransform->SetParameters( finalParameters );
ResampleFilterType::Pointer resample = ResampleFilterType::New();
resample->SetTransform( finalTransform );
resample->SetInput( intensityWindowing_moving->GetOutput() );
FixedImageType::Pointer fixedImage = intensityWindowing_fixed->GetOutput();
PixelType backgroundGrayLevel = 0;
 
if( argc > 4 )
{
backgroundGrayLevel = atoi( argv[4] );
}
 
resample->SetSize( fixedImage->GetLargestPossibleRegion().GetSize() );
resample->SetOutputOrigin( fixedImage->GetOrigin() );
resample->SetOutputSpacing( fixedImage->GetSpacing() );
resample->SetOutputDirection( fixedImage->GetDirection() );
resample->SetDefaultPixelValue( backgroundGrayLevel );
 
typedef unsigned char OutputPixelType;
typedef itk::Image< OutputPixelType, Dimension > OutputImageType;

typedef itk::CastImageFilter< 
FixedImageType,
OutputImageType > CastFilterType;

typedef itk::ImageFileWriter< OutputImageType > WriterType;
 
WriterType::Pointer writer = WriterType::New();
CastFilterType::Pointer caster = CastFilterType::New();
WriterType::Pointer writer_diff = WriterType::New();
 
writer->SetFileName( argv[3] );

writer->SetImageIO( vtkIO );
caster->SetInput( resample->GetOutput() );
writer->SetInput( caster->GetOutput() );
writer->Update();
 
// Software Guide : BeginCodeSnippet
typedef itk::SubtractImageFilter< 
FixedImageType, 
FixedImageType, 
FixedImageType > DifferenceFilterType;
DifferenceFilterType::Pointer difference = DifferenceFilterType::New();
typedef itk::RescaleIntensityImageFilter< 
FixedImageType, 
FixedImageType > RescalerType;
RescalerType::Pointer intensityRescaler = RescalerType::New();
 
// After registration
// resample->SetTransform( finalTransform ); 

difference->SetInput2( fixedImage );
difference->SetInput1( resample->GetOutput() );

intensityRescaler->SetInput( difference->GetOutput() );
intensityRescaler->SetOutputMinimum( 0 );
intensityRescaler->SetOutputMaximum( 255 );
caster->SetInput( intensityRescaler->GetOutput() );
writer_diff->SetImageIO( vtkIO );
writer_diff->SetInput( caster->GetOutput() );

// if( argc >5 )
{
writer_diff->SetFileName( argv[3] );
writer_diff->Update(); 
}
 
        The resample use the final transformation to correct the moving image and the subtractImageFilter calculate the difference after registration. . 
 
        Thanks! 
 
Wen 
 
 
 


      
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