[ITK-dev] problems itk resample filter

Pfaehler, EAG (ngmb) e.a.g.pfaehler at umcg.nl
Fri Sep 8 08:32:57 EDT 2017


Dear all,

I would need some help to resample so that it has isotropic voxels in the end.
For this, I wanted to use the Nearest Neighbor Interpolator and the ResampleFilterType.
My code is running, but the output of the filter has always the dimensions [0 0 0], so is not existent.
What am I doing wrong? (see code below)

Thanks in advance!

Elli

typedef itk::NearestNeighborInterpolateImageFunction<ImageType, T> NearestNeighborInterpolatorType;
typedef itk::ResampleImageFilter<ImageType, ImageType>    ResampleFilterType;
typedef itk::AffineTransform <double, 3> TransformType;
//use nearest neighbor interpolation
typename NearestNeighborInterpolatorType::Pointer nearestNeighborInterpolator = NearestNeighborInterpolatorType::New();
typename ImageType::DirectionType direction;
typename TransformType::Pointer transform = TransformType::New();
    //transform->SetIdentity();
typedef itk::NearestNeighborInterpolateImageFunction<ImageType, double> InterpolatorType;
//typedef itk::LinearInterpolateImageFunction<ImageType, double >  InterpolatorType;
typename InterpolatorType::Pointer interpolator = InterpolatorType::New();

typename ResampleFilterType::Pointer resizeFilter2 = ResampleFilterType::New();
resizeFilter2->SetTransform(transform);

resizeFilter2->SetInterpolator( interpolator );
resizeFilter2->SetDefaultPixelValue(0);
    //resizeFilter2->SetInterpolator();

const typename ImageType::SpacingType& inputSpacing = image->GetSpacing();
//sampling
double outputSpacing[3];
    // Fetch original image size
   const typename ImageType::RegionType& inputRegion = image->GetLargestPossibleRegion();
   const typename ImageType::SizeType& inputSize = inputRegion.GetSize();
    unsigned int oldWidth = inputSize[0];
    unsigned int oldHeight = inputSize[1];
    unsigned int oldDepth = inputSize[2];
    unsigned int newWidth;
    unsigned int newHeight;
    unsigned int newDepth;
       //get the new height etc of image
       double minimum = inputSpacing[0];
       if (inputSpacing[1]<minimum){
           minimum = inputSpacing[1];
       }
       if (inputSpacing[2] < minimum){
           minimum = inputSpacing[2];
       }
       outputSpacing[0] = minimum;
       outputSpacing[1] = minimum;
       outputSpacing[2] = minimum;
       newWidth = (double) oldWidth * inputSpacing[0]/minimum;
       ewHeight = (double) oldHeight * inputSpacing[1]/minimum;
       newDepth = (double) oldDepth * inputSpacing[2]/minimum;
       // Set the output spacing as specified on the command line
      resizeFilter2->SetOutputSpacing(outputSpacing);
    // Set the computed size
    itk::Size<3> outputSize = { {newWidth, newHeight, newDepth} };
    resizeFilter2->SetSize(outputSize);
    // Specify the input for the resamplers
    resizeFilter2->SetInput(image);
    ImageType::Pointer imageNew = resizeFilter2->GetOutput();
   const typename ImageType::RegionType& outputRegion = imageNew->GetLargestPossibleRegion();
       const typename ImageType::SizeType& outputSize2 = outputRegion.GetSize();

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