Defining Landmarks file

Hi, I want to use the ThinPlateSpline code in ITK, I already have my landmarks but I do not know how I should define a readable file for landmarks for the code. I defined the landmarks in the txt file I have attached but the code is not working. Could any one help me? Thanks.
myFile.txt (1014 Bytes)

/  Command Line Arguments: Insight/Testing/Data/LandmarkWarping3Landmarks1.txt
//                          inputImage  deformedImage deformationField
//
//  Software Guide : BeginLatex
//  This example deforms a 3D volume with the Thin plate spline.
//  \index{ThinPlateSplineKernelTransform}
//  Software Guide : EndLatex
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkImage.h"
#include "itkResampleImageFilter.h"
// Software Guide : BeginCodeSnippet
#include "itkThinPlateSplineKernelTransform.h"
// Software Guide : EndCodeSnippet
#include "itkPointSet.h"
#include <fstream>
int main( int argc, char * argv[] )
{
  if( argc < 4 )
    {
    std::cerr << "Missing Parameters " << std::endl;
    std::cerr << "Usage: " << argv[0];
    std::cerr << " landmarksFile inputImage ";
    std::cerr << "DeformedImage " << std::endl;
    std::cerr << "deformationField" << std::endl;
    return EXIT_FAILURE;
    }
  constexpr unsigned int ImageDimension = 3;
  using PixelType = unsigned char;
  using InputImageType = itk::Image< PixelType, ImageDimension >;
  using ReaderType = itk::ImageFileReader< InputImageType  >;
  using DeformedImageWriterType = itk::ImageFileWriter< InputImageType >;
  using FieldVectorType = itk::Vector< float, ImageDimension >;
  using DisplacementFieldType = itk::Image< FieldVectorType,  ImageDimension >;
  using FieldWriterType = itk::ImageFileWriter< DisplacementFieldType >;
  using CoordinateRepType = double;
  using TransformType = itk::ThinPlateSplineKernelTransform< CoordinateRepType,
        ImageDimension>;
  using PointType = itk::Point< CoordinateRepType,
                                  ImageDimension >;
  using PointSetType = TransformType::PointSetType;
  using PointIdType = PointSetType::PointIdentifier;
  using ResamplerType = itk::ResampleImageFilter< InputImageType,
                                      InputImageType  >;
  using InterpolatorType = itk::LinearInterpolateImageFunction<
                       InputImageType, double >;
  ReaderType::Pointer reader = ReaderType::New();
  reader->SetFileName( argv[2] );
  try
    {
    reader->Update();
    }
  catch( itk::ExceptionObject & excp )
    {
    std::cerr << "Exception thrown " << std::endl;
    std::cerr << excp << std::endl;
    return EXIT_FAILURE;
    }
  // Software Guide : BeginLatex
  // Landmarks correspondances may be associated with the SplineKernelTransforms
  // via Point Set containers. Let us define containers for the landmarks.
  // Software Guide : EndLatex
  // Define container for landmarks
  // Software Guide : BeginCodeSnippet
  PointSetType::Pointer sourceLandMarks = PointSetType::New();
  PointSetType::Pointer targetLandMarks = PointSetType::New();
  PointType p1;     PointType p2;
  PointSetType::PointsContainer::Pointer sourceLandMarkContainer =
                                   sourceLandMarks->GetPoints();
  PointSetType::PointsContainer::Pointer targetLandMarkContainer =
                                   targetLandMarks->GetPoints();
  // Software Guide : EndCodeSnippet
  PointIdType id = itk::NumericTraits< PointIdType >::ZeroValue();
  // Read in the list of landmarks
  std::ifstream infile;
  infile.open( argv[1] );
  while (!infile.eof())
    {
    infile >>  p1[0] >> p1[1] >> p1[2] >> p2[0] >> p2[1] >> p2[2];
    // Software Guide : BeginCodeSnippet
    sourceLandMarkContainer->InsertElement( id, p1 );
    targetLandMarkContainer->InsertElement( id++, p2 );
    // Software Guide : EndCodeSnippet
    }
  infile.close();
  // Software Guide : BeginCodeSnippet
  TransformType::Pointer tps = TransformType::New();
  tps->SetSourceLandmarks(sourceLandMarks);
  tps->SetTargetLandmarks(targetLandMarks);
  tps->ComputeWMatrix();
  // Software Guide : EndCodeSnippet
  // Software Guide : BeginLatex
  // The image is then resampled to produce an output image as defined by the
  // transform. Here we use a LinearInterpolator.
  // Software Guide : EndLatex
  // Set the resampler params
  InputImageType::ConstPointer inputImage = reader->GetOutput();
  ResamplerType::Pointer resampler = ResamplerType::New();
  InterpolatorType::Pointer interpolator = InterpolatorType::New();
  resampler->SetInterpolator( interpolator );
  InputImageType::SpacingType spacing = inputImage->GetSpacing();
  InputImageType::PointType   origin  = inputImage->GetOrigin();
  InputImageType::DirectionType direction  = inputImage->GetDirection();
  InputImageType::RegionType region = inputImage->GetBufferedRegion();
  InputImageType::SizeType   size =  region.GetSize();
  // Software Guide : BeginCodeSnippet
  resampler->SetOutputSpacing( spacing );
  resampler->SetOutputDirection( direction );
  resampler->SetOutputOrigin(  origin  );
  resampler->SetSize( size );
  resampler->SetTransform( tps );
  // Software Guide : EndCodeSnippet
  resampler->SetOutputStartIndex(  region.GetIndex() );
  resampler->SetInput( reader->GetOutput() );
  //Set and write deformed image
  DeformedImageWriterType::Pointer deformedImageWriter =
      DeformedImageWriterType::New();
  deformedImageWriter->SetInput( resampler->GetOutput() );
  deformedImageWriter->SetFileName( argv[3] );
  try
    {
    deformedImageWriter->Update();
    }
  catch( itk::ExceptionObject & excp )
    {
    std::cerr << "Exception thrown " << std::endl;
    std::cerr << excp << std::endl;
    return EXIT_FAILURE;
    }
  // Software Guide : BeginLatex
  // The deformation field is computed as the difference between the input and
  // the deformed image by using an iterator.
  // Software Guide : EndLatex
  // Compute the deformation field
  DisplacementFieldType::Pointer field = DisplacementFieldType::New();
  field->SetRegions( region );
  field->SetOrigin( origin );
  field->SetSpacing( spacing );
  field->Allocate();
  using FieldIterator = itk::ImageRegionIterator< DisplacementFieldType >;
  FieldIterator fi( field, region );
  fi.GoToBegin();
  TransformType::InputPointType  point1;
  TransformType::OutputPointType point2;
  DisplacementFieldType::IndexType index;
  FieldVectorType displacement;
  while( ! fi.IsAtEnd() )
    {
    index = fi.GetIndex();
    field->TransformIndexToPhysicalPoint( index, point1 );
    point2 = tps->TransformPoint( point1 );
    for ( unsigned int i = 0;i < ImageDimension;i++)
      {
      displacement[i] = point2[i] - point1[i];
      }
    fi.Set( displacement );
    ++fi;
    }
  //Write computed deformation field
  FieldWriterType::Pointer fieldWriter = FieldWriterType::New();
  fieldWriter->SetFileName( argv[4] );
  fieldWriter->SetInput( field );
  try
    {
    fieldWriter->Update();
    }
  catch( itk::ExceptionObject & excp )
    {
    std::cerr << "Exception thrown " << std::endl;
    std::cerr << excp << std::endl;
    return EXIT_FAILURE;
    }
  return EXIT_SUCCESS;
}

Looking at the code, I think you want to remove all the brackets and commas and only separate the numbers with spaces.

2 Likes

Thank you very much. It works.

1 Like

Iā€™m glad you got it to work. C++ is not the best language for text processing, so it can be hard to comprehend.

1 Like

Regarding TPS algorithm, when I ran the code, the output image is black. I expected to see similar image to the input but it seems the algorithm is not working. Does anyone could help me with that ? I have attached landmark file and input image.

Huma01-LungProjectionSample-6.nrrd (2.2 MB)
Landmarks61.txt (888 Bytes)