C++ typenameimagetype::Pointer类代码示例

TransformMatrixType GetVoxelSpaceToRASPhysicalSpaceMatrix(typename ImageType::Pointer image)
  {
  // Generate intermediate terms
  vnl_matrix<double> m_dir, m_ras_matrix;
  vnl_diag_matrix<double> m_scale, m_lps_to_ras;
  vnl_vector<double> v_origin, v_ras_offset;

  // Compute the matrix
  m_dir = image->GetDirection().GetVnlMatrix();
  m_scale.set(image->GetSpacing().GetVnlVector());
  m_lps_to_ras.set(vnl_vector<double>(ImageType::ImageDimension, 1.0));
  m_lps_to_ras[0] = -1;
  m_lps_to_ras[1] = -1;
  m_ras_matrix = m_lps_to_ras * m_dir * m_scale;

  // Compute the vector
  v_origin = image->GetOrigin().GetVnlVector();
  v_ras_offset = m_lps_to_ras * v_origin;

  // Create the larger matrix
  TransformMatrixType mat;
  vnl_vector<double> vcol(ImageType::ImageDimension+1, 1.0);
  vcol.update(v_ras_offset);
  mat.SetIdentity();
  mat.GetVnlMatrix().update(m_ras_matrix);
  mat.GetVnlMatrix().set_column(ImageType::ImageDimension, vcol);

  return mat;
  }

void StrokeMask::
Write(const std::string& filename,
      const TPixel& strokeValue)
{
  typedef itk::Image<TPixel, 2> ImageType;
  typename ImageType::Pointer image = ImageType::New();

  image->SetRegions(this->GetLargestPossibleRegion());
  image->Allocate();

  itk::ImageRegionConstIteratorWithIndex<StrokeMask>
      maskIterator(this,
                   this->GetLargestPossibleRegion());
  while(!maskIterator.IsAtEnd())
  {
    if(maskIterator.Get() == StrokeMaskPixelTypeEnum::STROKE)
    {
      image->SetPixel(maskIterator.GetIndex(),
                      strokeValue);
    }
    else
    {
      image->SetPixel(maskIterator.GetIndex(), itk::NumericTraits<TPixel>::Zero);
    }

    ++maskIterator;
  }

  typedef  itk::ImageFileWriter<ImageType> WriterType;
  typename WriterType::Pointer writer = WriterType::New();
  writer->SetFileName(filename);
  writer->SetInput(image);
  writer->Update();

}

int testBackCasting(mitk::Image* imgMem, typename ImageType::Pointer & itkImage, bool disconnectAfterImport)
{
  int result;

  if(itkImage.IsNull())
  {
    std::cout<<"[FAILED]"<<std::endl;
    return EXIT_FAILURE;
  }
  int *p = (int*)itkImage->GetBufferPointer();
  if(p==NULL)
  {
    std::cout<<"[FAILED]"<<std::endl;
    return EXIT_FAILURE;
  }
  std::cout<<"[PASSED]"<<std::endl;

  std::cout << "Testing mitk::CastToMitkImage: " << std::flush;
  mitk::Image::Pointer mitkImage = mitk::Image::New();
  mitk::CastToMitkImage( itkImage, mitkImage );
  std::cout<<"[PASSED]"<<std::endl;

  result = compareGeometries(imgMem->GetGeometry(), mitkImage->GetGeometry());
  if(result != EXIT_SUCCESS)
    return result;

  std::cout << "Testing whether data after mitk::CastToMitkImage is available: " << std::flush;
  if(mitkImage->IsChannelSet()==false)
  {
    std::cout<<"[FAILED]"<<std::endl;
    return EXIT_FAILURE;
  }
  std::cout<<"[PASSED]"<<std::endl;

  std::cout << "Testing mitk::ImportItkImage: " << std::flush;
  mitkImage = mitk::ImportItkImage(itkImage);
  std::cout<<"[PASSED]"<<std::endl;

  if(disconnectAfterImport)
  {
    std::cout << "Testing DisconnectPipeline() on mitk::Image into which was imported : " << std::flush;
    mitkImage->DisconnectPipeline();
    std::cout<<"[PASSED]"<<std::endl;
  }

  result = compareGeometries(imgMem->GetGeometry(), mitkImage->GetGeometry());
  if(result != EXIT_SUCCESS)
    return result;

  std::cout << "Testing whether data after mitk::ImportItkImage is available: " << std::flush;
  if(mitkImage->IsChannelSet()==false)
  {
    std::cout<<"[FAILED]"<<std::endl;
    return EXIT_FAILURE;
  }
  std::cout<<"[PASSED]"<<std::endl;

  return EXIT_SUCCESS;
}

    void operator()(Parameters& params)
    {
        typedef typename ::itk::Image< PIXELTYPE, 3 > ImageType;
        const typename ImageType::Pointer itkImage = ::fwItkIO::itkImageFactory< ImageType >(params.i_image);

        typename ::itk::ResampleImageFilter<ImageType, ImageType>::Pointer resampler =
            ::itk::ResampleImageFilter<ImageType, ImageType>::New();

        typename ::itk::MinimumMaximumImageCalculator< ImageType >::Pointer minCalculator =
            ::itk::MinimumMaximumImageCalculator< ImageType >::New();

        minCalculator->SetImage(itkImage);
        minCalculator->ComputeMinimum();
        resampler->SetDefaultPixelValue(minCalculator->GetMinimum());

        resampler->SetTransform(params.i_trf.GetPointer());
        resampler->SetInput(itkImage);

        typename ImageType::SizeType size           = itkImage->GetLargestPossibleRegion().GetSize();
        typename ImageType::PointType origin        = itkImage->GetOrigin();
        typename ImageType::SpacingType spacing     = itkImage->GetSpacing();
        typename ImageType::DirectionType direction = itkImage->GetDirection();

        SLM_ASSERT("Input spacing can't be null along any axis", spacing[0] > 0 && spacing[1] > 0 && spacing[2] > 0);

        if(params.i_targetImage)
        {
            for(std::uint8_t i = 0; i < 3; ++i)
            {
                // ITK uses unsigned long to store sizes.
                size[i] = static_cast<typename ImageType::SizeType::SizeValueType>(params.i_targetImage->getSize()[i]);

                origin[i]  = params.i_targetImage->getOrigin()[i];
                spacing[i] = params.i_targetImage->getSpacing()[i];

                SLM_ASSERT("Output spacing can't be null along any axis.", spacing[i] > 0);
            }
        }

        resampler->SetSize(size);
        resampler->SetOutputOrigin(origin);
        resampler->SetOutputDirection(direction);
        resampler->SetOutputSpacing(spacing);

        resampler->Update();

        typename ImageType::Pointer outputImage = resampler->GetOutput();

        ::fwItkIO::itkImageToFwDataImage(outputImage, params.o_image);
    }

typename ImageType::Pointer convolveImageHelper(
  typename ImageType::Pointer image,
  typename ImageType::Pointer kernel )
{
  enum { Dimension = ImageType::ImageDimension };
  if( image.IsNotNull() & kernel.IsNotNull() )
    {
    typedef itk::ConvolutionImageFilter<ImageType> FilterType;
    typename FilterType::Pointer convolutionFilter = FilterType::New();
    convolutionFilter->SetInput( image );
    convolutionFilter->SetKernelImage( kernel );
    convolutionFilter->Update();
    return convolutionFilter->GetOutput();
    }
  return NULL;
}

void WorkbenchUtils::addPaddingItk(itk::Image <PixelType, ImageDimension> *itkImage, Axis axis, bool append,
                                   int numberOfSlices, float pixelValue, Image::Pointer outImage) {
    // pixel type is templated. The input field for the value is set to float, so the user might enter some invalid values for the image type at hand.
    // since all primitive built-in types have well defined casting behaviour between each other, we'll just do a typecast. we will clip the entered
    // value at PixelTypes min/max to prevent an overflow. The possible loss of precision is ignored.
    float lower = itk::NumericTraits<PixelType>::min();
    float upper = itk::NumericTraits<PixelType>::max();
    float clippedPixelValue = std::max(lower, std::min(pixelValue, upper));

    PixelType paddingPixelValue = (PixelType) clippedPixelValue;

    typedef itk::Image <PixelType, ImageDimension> ImageType;

    // gather all data
    typename ImageType::SizeType lowerBound;
    typename ImageType::SizeType upperBound;
    lowerBound.Fill(0);
    upperBound.Fill(0);

    unsigned int itkAxis = convertToItkAxis(axis);
    if (append) {
        upperBound[itkAxis] = numberOfSlices;
    } else {
        lowerBound[itkAxis] = numberOfSlices;
    }

    // setup the filter
    typedef itk::ConstantPadImageFilter <ImageType, ImageType> PadFilterType;
    typename PadFilterType::Pointer padFilter = PadFilterType::New();
    padFilter->SetInput(itkImage);
    padFilter->SetConstant(paddingPixelValue);
    padFilter->SetPadLowerBound(lowerBound);
    padFilter->SetPadUpperBound(upperBound);
    padFilter->UpdateLargestPossibleRegion();

    // Update the origin, since padding creates negative index that is lost when returned to MITK
    typename ImageType::Pointer paddedImage = padFilter->GetOutput();
    typename ImageType::RegionType paddedImageRegion = paddedImage->GetLargestPossibleRegion();
    typename ImageType::PointType origin;
    paddedImage->TransformIndexToPhysicalPoint(paddedImageRegion.GetIndex(), origin);
    paddedImage->SetOrigin(origin);

    // get the results and cast them back to mitk. return via out parameter.
    outImage->InitializeByItk(paddedImage.GetPointer());
    CastToMitkImage(paddedImage, outImage);
}

    template <class ImagePixelType, class MaskPixelType> int update()
    {
        typedef itk::Image<ImagePixelType, 3> ImageType;
        typedef itk::Image<MaskPixelType,  3> MaskType;

        if ( !input ||!input->data() || !mask ||!mask->data())
            return EXIT_FAILURE;

        typedef itk::MaskImageFilter< ImageType,  MaskType> MaskFilterType;
        typename MaskFilterType::Pointer maskFilter = MaskFilterType::New();

        typename ImageType::Pointer imgInput = dynamic_cast<ImageType *> ( ( itk::Object* ) ( input->data() )) ;
        typename MaskType::Pointer maskInput = dynamic_cast<MaskType *>  ( ( itk::Object* ) ( mask->data() )) ;

        try
        {
            maskInput->SetOrigin(imgInput->GetOrigin());
            maskInput->SetSpacing(imgInput->GetSpacing());
            maskFilter->SetInput(imgInput);
            maskFilter->SetMaskingValue(maskBackgroundValue);
            maskFilter->SetMaskImage(maskInput);

            //Outside values set to the lowest reachable value

            typedef itk::MinimumMaximumImageCalculator <ImageType> ImageCalculatorFilterType;
 
            typename ImageCalculatorFilterType::Pointer imageCalculatorFilter
                    = ImageCalculatorFilterType::New ();
            imageCalculatorFilter->SetImage(imgInput);
            imageCalculatorFilter->ComputeMinimum();
            maskFilter->SetOutsideValue(std::min(double(imageCalculatorFilter->GetMinimum()), 0.0));
            maskFilter->Update();
            output->setData(maskFilter->GetOutput());
        }
        catch( itk::ExceptionObject & err )
        {
            std::cerr << "ExceptionObject caught in medMaskApplication!" << std::endl;
            std::cerr << err << std::endl;
            return EXIT_FAILURE;
        }

        medUtilities::setDerivedMetaData(output, input, "masked");

        return EXIT_SUCCESS;
    }

  Image::Pointer mitk::OpenCVToMitkImageFilter::ConvertIplToMitkImage( const IplImage * input )
  {
    typedef itk::Image< TPixel, VImageDimension > ImageType;

    typename ImageType::Pointer output = ImageType::New();
    typename ImageType::RegionType region;
    typename ImageType::RegionType::SizeType size;
    typename ImageType::RegionType::IndexType index;
    typename ImageType::SpacingType spacing;
    size.Fill( 1 );
    size[0] = input->width;
    size[1] = input->height;
    index.Fill(0);
    spacing.Fill(1);
    region.SetSize(size);
    region.SetIndex(index);
    output->SetRegions(region);
    output->SetSpacing(spacing);
    output->Allocate();

    // CAVE: The itk openCV bridge seem to NOT correctly copy the image data, hence the call to
    // itk::OpenCVImageBridge::IplImageToITKImage<ImageType>() is simply used to initialize the itk image
    // and in the next step the image data are copied by hand!

    if(input->nChannels == 3) // these are RGB images and need to be set to BGR before conversion!
    {
      output = itk::OpenCVImageBridge::IplImageToITKImage<ImageType>(input);
    }
    else
    {
      memcpy((void*) output->GetBufferPointer(), (void*) input->imageDataOrigin,
        input->width*input->height*sizeof(TPixel));
    }

    Image::Pointer mitkImage = Image::New();
    mitkImage = GrabItkImageMemory(output);

    return mitkImage;
  }

SEXP addNeighborhoodToImageHelper(
  SEXP r_antsimage,
  SEXP r_center,
  SEXP r_rad,
  SEXP r_vec)
{
  typedef typename ImageType::Pointer  ImagePointerType;
  const unsigned int ImageDimension = ImageType::ImageDimension;
  typedef float                        PixelType;
  typename ImageType::Pointer image =
    Rcpp::as< ImagePointerType >( r_antsimage );
  Rcpp::NumericVector center( r_center );
  Rcpp::NumericVector rad( r_rad );
  Rcpp::NumericVector intvec( r_vec );
  if ( center.size() != ImageDimension )
    Rcpp::stop("addNeighborhoodToImageHelper dim error.");
  typename itk::NeighborhoodIterator<ImageType>::SizeType nSize;
  typename ImageType::IndexType ind;
  ind.Fill( 0 );
  for ( unsigned int i=0; i<ImageDimension; i++ )
    {
    nSize[i] = rad[i];
    ind[i] = center[i]; // R coords to ITK
    }
  itk::NeighborhoodIterator<ImageType> nit( nSize, image,
    image->GetLargestPossibleRegion() ) ;
// for each location in nitSearch, compute the correlation
// of the intvec with the nit neighborhood
  nit.SetLocation( ind );
  for( unsigned int i = 0; i < nit.Size(); i++ )
    {
    typename ImageType::IndexType ind2 = nit.GetIndex(i);
    PixelType lval = image->GetPixel( ind2 );
    image->SetPixel( ind2, lval + intvec[i] );
    }
  return 0;
}

void ForegroundBackgroundSegmentMask::
Write(const std::string& filename,
      const ForegroundPixelValueWrapper<TPixel>& foregroundValue,
      const BackgroundPixelValueWrapper<TPixel>& backgroundValue)
{
  typedef itk::Image<TPixel, 2> ImageType;
  typename ImageType::Pointer image = ImageType::New();

  image->SetRegions(this->GetLargestPossibleRegion());
  image->Allocate();

  itk::ImageRegionConstIteratorWithIndex<ForegroundBackgroundSegmentMask>
      maskIterator(this,
                   this->GetLargestPossibleRegion());
  while(!maskIterator.IsAtEnd())
  {
    if(maskIterator.Get() == ForegroundBackgroundSegmentMaskPixelTypeEnum::FOREGROUND)
    {
      image->SetPixel(maskIterator.GetIndex(),
                      foregroundValue.Value);
    }
    else if(maskIterator.Get() == ForegroundBackgroundSegmentMaskPixelTypeEnum::BACKGROUND)
    {
      image->SetPixel(maskIterator.GetIndex(), backgroundValue.Value);
    }

    ++maskIterator;
  }

  typedef  itk::ImageFileWriter<ImageType> WriterType;
  typename WriterType::Pointer writer = WriterType::New();
  writer->SetFileName(filename);
  writer->SetInput(image);
  writer->Update();

}

typename PatchExtractor<PValue>::ImageType::Pointer 
PatchExtractor<PValue>::ExtractPatch()
{
	ContIndexType startIndex;
	for(unsigned int i = 0; i < 2; i++)
	{
		startIndex[i] = m_Center[i] - (m_Size[i] / 2.0);
	}
	startIndex[2] = 0;

	PointType newOrigin;
	m_Image->TransformContinuousIndexToPhysicalPoint(startIndex, newOrigin);


	typename ImageType::Pointer patch = ImageType::New();
	patch->SetDirection(m_Image->GetDirection());
	patch->SetOrigin(newOrigin);
	patch->SetSpacing(m_Image->GetSpacing());
	
	typename ImageType::RegionType region;
	m_Size[2] = 1;
	region.SetSize(m_Size);
	
	patch->SetRegions(region);
	patch->Allocate();

	
	typedef itk::NearestNeighborInterpolateImageFunction<ImageType, double> InterpolatorType;
	typename InterpolatorType::Pointer interpolator = InterpolatorType::New();
	interpolator->SetInputImage(m_Image);


	itk::ImageRegionIterator<ImageType> imageIt(patch, region);
	while(!imageIt.IsAtEnd())
	{
		typename ImageType::IndexType index = imageIt.GetIndex();
		PointType point;
		patch->TransformIndexToPhysicalPoint(index, point);

		if(interpolator->IsInsideBuffer(point))
			imageIt.Set(interpolator->Evaluate(point));
		else
			imageIt.Set(0);
		++imageIt;
	}

	return patch;
	
}

SEXP jointLabelFusionNeighborhoodSearchHelper(
  SEXP r_intvec,
  SEXP r_center,
  unsigned int rad,
  unsigned int radSearch,
  SEXP r_antsimage,
  SEXP r_antsimageseg)
{
  unsigned int segval = 0;
  typedef typename ImageType::Pointer  ImagePointerType;
  const unsigned int ImageDimension = ImageType::ImageDimension;
  typedef float                        PixelType;
  typename ImageType::Pointer image =
    Rcpp::as< ImagePointerType >( r_antsimage );
  typename ImageType::Pointer imageseg =
      Rcpp::as< ImagePointerType >( r_antsimageseg );
  Rcpp::NumericVector intvec( r_intvec );
  Rcpp::NumericVector outvec =
    Rcpp::NumericVector( intvec.size(), Rcpp::NumericVector::get_na() );
  Rcpp::NumericVector bestvec =
    Rcpp::NumericVector( intvec.size(), Rcpp::NumericVector::get_na() );
  Rcpp::NumericVector outsegvec =
    Rcpp::NumericVector( intvec.size(), Rcpp::NumericVector::get_na() );
  Rcpp::NumericVector bestsegvec =
    Rcpp::NumericVector( intvec.size(), Rcpp::NumericVector::get_na() );
  Rcpp::NumericVector center( r_center );
  if ( center.size() != ImageDimension )
    Rcpp::stop("jointLabelFusionNeighborhoodSearchHelper dim error.");
  typename itk::NeighborhoodIterator<ImageType>::SizeType nSize;
  typename itk::NeighborhoodIterator<ImageType>::SizeType nSizeSearch;
  typename ImageType::IndexType ind;
  ind.Fill( 0 );
  for ( unsigned int i=0; i<ImageDimension; i++ )
    {
    nSize[i] = rad;
    nSizeSearch[i] = radSearch;
    ind[i] = center[i]; // R coords to ITK
    }
  itk::NeighborhoodIterator<ImageType> nit( nSize, image,
    image->GetLargestPossibleRegion() ) ;
  itk::NeighborhoodIterator<ImageType> nitSearch( nSizeSearch, image,
    image->GetLargestPossibleRegion() ) ;
// for each location in nitSearch, compute the correlation
// of the intvec with the nit neighborhood
  nitSearch.SetLocation( ind );
  PixelType bestcor = 1.e11;
  PixelType bestsd = 0;
  PixelType bestmean = 0;
  for( unsigned int i = 0; i < nitSearch.Size(); i++ )
    {
    typename ImageType::IndexType ind2 = nitSearch.GetIndex(i);
    nit.SetLocation( ind2 );
    PixelType outmean = 0;
    PixelType outsd = 0;
    PixelType inmean = 0;
    PixelType insd = 0;
    for ( unsigned int i=0; i < intvec.size(); i++ ) {
      PixelType pix = image->GetPixel( nit.GetIndex(i) );
      outvec[i] = pix;
      outsegvec[i] = imageseg->GetPixel( nit.GetIndex(i) );
      outmean += pix;
      inmean += intvec[i];
      }
    outmean /= ( static_cast<PixelType>(intvec.size()) );
    inmean /= ( static_cast<PixelType>(intvec.size()) );
    for ( unsigned int i=0; i < intvec.size(); i++ ) {
      // should use recursive formula in above loop
      outsd += ( outvec[i] - outmean ) * ( outvec[i] - outmean );
      insd += ( intvec[i] - inmean ) * ( intvec[i] - inmean );
      }
    outsd = sqrt(  outsd  );
    insd = sqrt(  insd  );
    PixelType sum_uv = 0;
    PixelType sum_psearch = 0;
    PixelType ssq_psearch = 0;
    unsigned int n = intvec.size();
    for(unsigned int i = 0; i < n; i++)
      {
      PixelType v = intvec[i];
      PixelType u = outvec[i];
      sum_psearch += u;
      ssq_psearch += u * u;
      sum_uv += u * v;
      }
    PixelType var_u_unnorm = ssq_psearch - sum_psearch * sum_psearch / n;
    if(var_u_unnorm < 1.0e-6)
      var_u_unnorm = 1.0e-6;
    PixelType locor = 0;
    if ( sum_uv > 0 )
      locor = ( -1.0 * (sum_uv * sum_uv) / var_u_unnorm );
    else
      locor = ( sum_uv * sum_uv ) / var_u_unnorm;
//  - (\Sum u_i v_i)^2 / z,   where z = sigma_v^2 * (n-1)
//      locor = locor / ( insd * outsd );
      if ( locor < bestcor )
        {
        segval = imageseg->GetPixel( ind2 );
        for ( unsigned int i=0; i < intvec.size(); i++ ) {
          bestvec[i] = outvec[i];
          bestsegvec[i] = outsegvec[i];
//.........这里部分代码省略.........

void mitk::SurfaceStampImageFilter::SurfaceStampProcessing(itk::Image<TPixel, 3> *input, MeshType *mesh)
{
  typedef itk::Image<TPixel, 3> ImageType;
  typedef itk::Image<unsigned char, 3> BinaryImageType;

  typedef itk::TriangleMeshToBinaryImageFilter<mitk::SurfaceStampImageFilter::MeshType, BinaryImageType> FilterType;

  BinaryImageType::Pointer binaryInput = BinaryImageType::New();
  binaryInput->SetSpacing(input->GetSpacing());
  binaryInput->SetOrigin(input->GetOrigin());
  binaryInput->SetDirection(input->GetDirection());
  binaryInput->SetRegions(input->GetLargestPossibleRegion());
  binaryInput->Allocate();
  binaryInput->FillBuffer(0);

  FilterType::Pointer filter = FilterType::New();
  filter->SetInput(mesh);
  filter->SetInfoImage(binaryInput);
  filter->SetInsideValue(1);
  filter->SetOutsideValue(0);
  filter->Update();

  BinaryImageType::Pointer resultImage = filter->GetOutput();
  resultImage->DisconnectPipeline();

  mitk::Image::Pointer outputImage = this->GetOutput();
  typename ImageType::Pointer itkOutputImage;
  mitk::CastToItkImage(outputImage, itkOutputImage);

  typedef itk::ImageRegionConstIterator<BinaryImageType> BinaryIteratorType;
  typedef itk::ImageRegionConstIterator<ImageType> InputIteratorType;
  typedef itk::ImageRegionIterator<ImageType> OutputIteratorType;

  BinaryIteratorType sourceIter(resultImage, resultImage->GetLargestPossibleRegion());
  sourceIter.GoToBegin();

  InputIteratorType inputIter(input, input->GetLargestPossibleRegion());
  inputIter.GoToBegin();

  OutputIteratorType outputIter(itkOutputImage, itkOutputImage->GetLargestPossibleRegion());
  outputIter.GoToBegin();

  typename ImageType::PixelType inputValue;
  unsigned char sourceValue;

  auto fgValue = static_cast<typename ImageType::PixelType>(m_ForegroundValue);
  auto bgValue = static_cast<typename ImageType::PixelType>(m_BackgroundValue);

  while (!sourceIter.IsAtEnd())
  {
    sourceValue = static_cast<unsigned char>(sourceIter.Get());
    inputValue = static_cast<typename ImageType::PixelType>(inputIter.Get());

    if (sourceValue != 0)
      outputIter.Set(fgValue);
    else if (m_OverwriteBackground)
      outputIter.Set(bgValue);
    else
      outputIter.Set(inputValue);

    ++sourceIter;
    ++inputIter;
    ++outputIter;
  }
}

SEXP sccanCppHelper(
  NumericMatrix X,
  NumericMatrix Y,
  SEXP r_maskx,
  SEXP r_masky,
  RealType sparsenessx,
  RealType sparsenessy,
  IntType nvecs,
  IntType its,
  IntType cthreshx,
  IntType cthreshy,
  RealType z,
  RealType smooth,
  Rcpp::List initializationListx,
  Rcpp::List initializationListy,
  IntType covering,
  RealType ell1,
  IntType verbose,
  RealType priorWeight )
{
  enum { Dimension = ImageType::ImageDimension };
  typename ImageType::RegionType region;
  typedef typename ImageType::PixelType PixelType;
  typedef typename ImageType::Pointer ImagePointerType;
  typedef double                                        Scalar;
  typedef itk::ants::antsSCCANObject<ImageType, Scalar> SCCANType;
  typedef typename SCCANType::MatrixType                vMatrix;
  typename SCCANType::Pointer sccanobj = SCCANType::New();

  typename ImageType::Pointer maskx = Rcpp::as<ImagePointerType>( r_maskx );
  typename ImageType::Pointer masky = Rcpp::as<ImagePointerType>( r_masky );

  bool maskxisnull = maskx.IsNull();
  bool maskyisnull = masky.IsNull();
// deal with the initializationList, if any
  unsigned int nImagesx = initializationListx.size();
  if ( ( nImagesx > 0 ) && ( !maskxisnull ) )
    {
    itk::ImageRegionIteratorWithIndex<ImageType> it( maskx,
      maskx->GetLargestPossibleRegion() );
    vMatrix priorROIMatx( nImagesx , X.cols() );
    priorROIMatx.fill( 0 );
    for ( unsigned int i = 0; i < nImagesx; i++ )
      {
      typename ImageType::Pointer init =
        Rcpp::as<ImagePointerType>( initializationListx[i] );
      unsigned long ct = 0;
      it.GoToBegin();
      while ( !it.IsAtEnd() )
        {
        PixelType pix = it.Get();
        if ( pix >= 0.5 )
          {
          pix = init->GetPixel( it.GetIndex() );
          priorROIMatx( i, ct ) = pix;
          ct++;
          }
        ++it;
        }
      }
    sccanobj->SetMatrixPriorROI( priorROIMatx );
    nvecs = nImagesx;
    }
  unsigned int nImagesy = initializationListy.size();
  if ( ( nImagesy > 0 ) && ( !maskyisnull ) )
    {
    itk::ImageRegionIteratorWithIndex<ImageType> it( masky,
      masky->GetLargestPossibleRegion() );
    vMatrix priorROIMaty( nImagesy , Y.cols() );
    priorROIMaty.fill( 0 );
    for ( unsigned int i = 0; i < nImagesy; i++ )
      {
      typename ImageType::Pointer init =
        Rcpp::as<ImagePointerType>( initializationListy[i] );
      unsigned long ct = 0;
      it.GoToBegin();
      while ( !it.IsAtEnd() )
        {
        PixelType pix = it.Get();
        if ( pix >= 0.5 )
          {
          pix = init->GetPixel( it.GetIndex() );
          priorROIMaty( i, ct ) = pix;
          ct++;
          }
        ++it;
        }
      }
    sccanobj->SetMatrixPriorROI2( priorROIMaty );
    nvecs = nImagesy;
    }

  sccanobj->SetPriorWeight( priorWeight );
  sccanobj->SetLambda( priorWeight );
// cast hack from Rcpp type to sccan type
  std::vector<double> xdat =
      Rcpp::as< std::vector<double> >( X );
  const double* _xdata = &xdat[0];
  vMatrix vnlX( _xdata , X.cols(), X.rows()  );
  vnlX = vnlX.transpose();
//.........这里部分代码省略.........

void invcondemonsforces(int nlhs,
                 mxArray *plhs[],
                 int nrhs,
                 const mxArray *prhs[])
{
   typedef float PixelType;
   typedef itk::Image< PixelType, Dimension >           ImageType;
   
   typedef float                                        VectorComponentType;
   typedef itk::Vector<VectorComponentType, Dimension>  VectorPixelType;
   typedef itk::Image<VectorPixelType, Dimension>       DeformationFieldType;

   typedef itk::ESMInvConDemonsRegistrationFunction
      <ImageType,ImageType,DeformationFieldType>        DemonsRegistrationFunctionType;

   
   //boost::timer timer;


   // Allocate images and deformation field
   typename ImageType::Pointer fixedimage
      = ImageType::New();
   typename ImageType::Pointer movingimage
      = ImageType::New();
   typename ImageType::Pointer fw_weightimage
      = ImageType::New();  
   typename DeformationFieldType::Pointer field
      = DeformationFieldType::New();
   
   typename ImageType::Pointer jacobianimage
      = ImageType::New();  
      
      
   typename DeformationFieldType::Pointer inv_field
      = DeformationFieldType::New();
      
   typename DeformationFieldType::Pointer update
      = DeformationFieldType::New();
   
   typename DeformationFieldType::SpacingType spacing;
   spacing.Fill( 1.0 );
   
   typename DeformationFieldType::PointType origin;
   origin.Fill( 0.0 );
   
   typename DeformationFieldType::RegionType     region;
   typename DeformationFieldType::SizeType       size;
   typename DeformationFieldType::IndexType      start;

   unsigned int numPix(1u);
   const MatlabPixelType * fixinptr =  static_cast<const MatlabPixelType *>(mxGetData(prhs[0]));
   const MatlabPixelType * movinptr =  static_cast<const MatlabPixelType *>(mxGetData(prhs[1]));
   const MatlabPixelType * fieldinptrs[Dimension];
   const MatlabPixelType * inv_fieldinptrs[Dimension];
   
   
   mwSize matlabdims[Dimension];
   for (unsigned int d=0; d<Dimension; d++)
   {
      matlabdims[d]= mxGetDimensions(prhs[0])[d];
      size[d] = matlabdims[d];
      start[d] = 0;
      numPix *= size[d];

      fieldinptrs[d] = static_cast<const MatlabPixelType *>(mxGetData(prhs[2+d]));
      inv_fieldinptrs[d] = static_cast<const MatlabPixelType *>(mxGetData(prhs[2+Dimension+d]));
   }
   
   const MatlabPixelType * jacobianptr = static_cast<const MatlabPixelType *> (mxGetData(prhs[2*Dimension + 2]));
   const MatlabPixelType * fw_weightptr = static_cast<const MatlabPixelType *> (mxGetData(prhs[2*Dimension + 3]));
   
   const double RegWeight = static_cast<double>( mxGetPr(prhs[2*Dimension+4])[0] );
   
   const unsigned int UseJacFlag = 1;
   
   //std::cout << "RegWeight : " << RegWeight << std::endl;
   
   region.SetSize( size );
   region.SetIndex( start );

   fixedimage->SetOrigin( origin );
   fixedimage->SetSpacing( spacing );
   fixedimage->SetRegions( region );
   fixedimage->Allocate();

   movingimage->SetOrigin( origin );
   movingimage->SetSpacing( spacing );
   movingimage->SetRegions( region );
   movingimage->Allocate();
   
   fw_weightimage->SetOrigin( origin );
   fw_weightimage->SetSpacing( spacing );
   fw_weightimage->SetRegions( region );
   fw_weightimage->Allocate();
   
   
   field->SetOrigin( origin );
   field->SetSpacing( spacing );
   field->SetRegions( region );
   field->Allocate();
//.........这里部分代码省略.........