C++ Pointer::GetDimensions方法代码示例

void mitk::PicFileReader::GenerateData()
{
    Image::Pointer output = this->GetOutput();

    // Check to see if we can read the file given the name or prefix
    //
    if ( m_FileName == "" && m_FilePrefix == "" )
    {
        throw itk::ImageFileReaderException(__FILE__, __LINE__, "One of FileName or FilePrefix must be non-empty");
    }

    if( m_FileName != "")
    {
        mitkIpPicDescriptor* outputPic = mitkIpPicNew();
        outputPic = CastToIpPicDescriptor(output, outputPic);
        mitkIpPicDescriptor* pic=MITKipPicGet(const_cast<char *>(m_FileName.c_str()),
                                              outputPic);
        // comes upside-down (in MITK coordinates) from PIC file
        ConvertHandedness(pic);

        mitkIpPicTSV_t *tsv;
        if ( (tsv = mitkIpPicQueryTag( pic, "SOURCE HEADER" )) != NULL)
        {
          if(tsv->n[0]>1e+06)
          {
            mitkIpPicTSV_t *tsvSH;
            tsvSH = mitkIpPicDelTag( pic, "SOURCE HEADER" );
            mitkIpPicFreeTag(tsvSH);
          }
        }
        if ( (tsv = mitkIpPicQueryTag( pic, "ICON80x80" )) != NULL)
        {
          mitkIpPicTSV_t *tsvSH;
          tsvSH = mitkIpPicDelTag( pic, "ICON80x80" );
          mitkIpPicFreeTag(tsvSH);
        }
        if ( (tsv = mitkIpPicQueryTag( pic, "VELOCITY" )) != NULL)
        {
          mitkIpPicDescriptor* header = mitkIpPicCopyHeader(pic, NULL);
          header->data = tsv->value;
          ConvertHandedness(header);
          output->SetChannel(header->data, 1);
          header->data = NULL;
          mitkIpPicFree(header);
          mitkIpPicDelTag( pic, "VELOCITY" );
        }

        //slice-wise reading
        //currently much too slow.
        //else
        //{
        //  int sstart, smax;
        //  int tstart, tmax;

        //  sstart=output->GetRequestedRegion().GetIndex(2);
        //  smax=sstart+output->GetRequestedRegion().GetSize(2);

        //  tstart=output->GetRequestedRegion().GetIndex(3);
        //  tmax=tstart+output->GetRequestedRegion().GetSize(3);

        //  int s,t;
        //  for(s=sstart; s<smax; ++s)
        //  {
        //    for(t=tstart; t<tmax; ++t)
        //    {
        //      mitkIpPicDescriptor* pic=mitkIpPicGetSlice(const_cast<char *>(m_FileName.c_str()), NULL, t*smax+s+1);
        //      output->SetPicSlice(pic,s,t);
        //    }
        //  }
        //}
    }
    else
    {
        int position;
        mitkIpPicDescriptor*  pic=NULL;

        int zDim=(output->GetDimension()>2?output->GetDimensions()[2]:1);
        printf("\n zdim is %u \n",zDim);

        for (position = 0; position < zDim; ++position) 
        {
            char fullName[1024];

            sprintf(fullName, m_FilePattern.c_str(), m_FilePrefix.c_str(), m_StartFileIndex+position);

            pic=MITKipPicGet(fullName, pic);
            if(pic==NULL)
            {
                itkDebugMacro("Pic file '" << fullName << "' does not exist."); 
            }
            /* FIXME else
            if(output->SetPicSlice(pic, position)==false)
            {
                itkDebugMacro("Image '" << fullName << "' could not be added to Image."); 
            }*/
       }
       if(pic!=NULL)
         mitkIpPicFree(pic);
    }
}

mitk::GIFVolumetricStatistics::FeatureListType mitk::GIFVolumetricStatistics::CalculateFeatures(const Image::Pointer & image, const Image::Pointer &mask)
{
  FeatureListType featureList;
  if (image->GetDimension() < 3)
  {
    return featureList;
  }


  AccessByItk_3(image, CalculateVolumeStatistic, mask, featureList, FeatureDescriptionPrefix());
  AccessByItk_3(mask, CalculateLargestDiameter, image, featureList, FeatureDescriptionPrefix());

  vtkSmartPointer<vtkImageMarchingCubes> mesher = vtkSmartPointer<vtkImageMarchingCubes>::New();
  vtkSmartPointer<vtkMassProperties> stats = vtkSmartPointer<vtkMassProperties>::New();
  mesher->SetInputData(mask->GetVtkImageData());
  mesher->SetValue(0, 0.5);
  stats->SetInputConnection(mesher->GetOutputPort());
  stats->Update();

  double pi = vnl_math::pi;

  double meshVolume = stats->GetVolume();
  double meshSurf = stats->GetSurfaceArea();
  double pixelVolume = featureList[1].second;
  double pixelSurface = featureList[3].second;

  MITK_INFO << "Surface: " << pixelSurface << " Volume: " << pixelVolume;

  double compactness1 = pixelVolume / (std::sqrt(pi) * std::pow(meshSurf, 2.0 / 3.0));
  double compactness1Pixel = pixelVolume / (std::sqrt(pi) * std::pow(pixelSurface, 2.0 / 3.0));
  //This is the definition used by Aertz. However, due to 2/3 this feature is not demensionless. Use compactness3 instead.

  double compactness2 = 36 * pi*pixelVolume*pixelVolume / meshSurf / meshSurf / meshSurf;
  double compactness2MeshMesh = 36 * pi*meshVolume*meshVolume / meshSurf / meshSurf / meshSurf;
  double compactness2Pixel = 36 * pi*pixelVolume*pixelVolume / pixelSurface / pixelSurface / pixelSurface;
  double compactness3 = pixelVolume / (std::sqrt(pi) * std::pow(meshSurf, 3.0 / 2.0));
  double compactness3MeshMesh = meshVolume / (std::sqrt(pi) * std::pow(meshSurf, 3.0 / 2.0));
  double compactness3Pixel = pixelVolume / (std::sqrt(pi) * std::pow(pixelSurface, 3.0 / 2.0));

  double sphericity = std::pow(pi, 1 / 3.0) *std::pow(6 * pixelVolume, 2.0 / 3.0) / meshSurf;
  double sphericityMesh = std::pow(pi, 1 / 3.0) *std::pow(6 * meshVolume, 2.0 / 3.0) / meshSurf;
  double sphericityPixel = std::pow(pi, 1 / 3.0) *std::pow(6 * pixelVolume, 2.0 / 3.0) / pixelSurface;
  double surfaceToVolume = meshSurf / meshVolume;
  double surfaceToVolumePixel = pixelSurface / pixelVolume;
  double sphericalDisproportion = meshSurf / 4 / pi / std::pow(3.0 / 4.0 / pi * pixelVolume, 2.0 / 3.0);
  double sphericalDisproportionMesh = meshSurf / 4 / pi / std::pow(3.0 / 4.0 / pi * meshVolume, 2.0 / 3.0);
  double sphericalDisproportionPixel = pixelSurface / 4 / pi / std::pow(3.0 / 4.0 / pi * pixelVolume, 2.0 / 3.0);
  double asphericity = std::pow(1.0/compactness2, (1.0 / 3.0)) - 1;
  double asphericityMesh = std::pow(1.0 / compactness2MeshMesh, (1.0 / 3.0)) - 1;
  double asphericityPixel = std::pow(1.0/compactness2Pixel, (1.0 / 3.0)) - 1;

  //Calculate center of mass shift
  int xx = mask->GetDimensions()[0];
  int yy = mask->GetDimensions()[1];
  int zz = mask->GetDimensions()[2];

  double xd = mask->GetGeometry()->GetSpacing()[0];
  double yd = mask->GetGeometry()->GetSpacing()[1];
  double zd = mask->GetGeometry()->GetSpacing()[2];

  vtkSmartPointer<vtkDoubleArray> dataset1Arr = vtkSmartPointer<vtkDoubleArray>::New();
  vtkSmartPointer<vtkDoubleArray> dataset2Arr = vtkSmartPointer<vtkDoubleArray>::New();
  vtkSmartPointer<vtkDoubleArray> dataset3Arr = vtkSmartPointer<vtkDoubleArray>::New();
  dataset1Arr->SetNumberOfComponents(1);
  dataset2Arr->SetNumberOfComponents(1);
  dataset3Arr->SetNumberOfComponents(1);
  dataset1Arr->SetName("M1");
  dataset2Arr->SetName("M2");
  dataset3Arr->SetName("M3");

  vtkSmartPointer<vtkDoubleArray> dataset1ArrU = vtkSmartPointer<vtkDoubleArray>::New();
  vtkSmartPointer<vtkDoubleArray> dataset2ArrU = vtkSmartPointer<vtkDoubleArray>::New();
  vtkSmartPointer<vtkDoubleArray> dataset3ArrU = vtkSmartPointer<vtkDoubleArray>::New();
  dataset1ArrU->SetNumberOfComponents(1);
  dataset2ArrU->SetNumberOfComponents(1);
  dataset3ArrU->SetNumberOfComponents(1);
  dataset1ArrU->SetName("M1");
  dataset2ArrU->SetName("M2");
  dataset3ArrU->SetName("M3");

  for (int x = 0; x < xx; x++)
  {
    for (int y = 0; y < yy; y++)
    {
      for (int z = 0; z < zz; z++)
      {
        itk::Image<int,3>::IndexType index;

        index[0] = x;
        index[1] = y;
        index[2] = z;

        mitk::ScalarType pxImage;
        mitk::ScalarType pxMask;

        mitkPixelTypeMultiplex5(
              mitk::FastSinglePixelAccess,
              image->GetChannelDescriptor().GetPixelType(),
              image,
              image->GetVolumeData(),
//.........这里部分代码省略.........