C++ Pointer::GetDimension方法代码示例

mitk::DataNode::Pointer mitk::Tool::CreateEmptySegmentationNode( Image* original, const std::string& organName, const mitk::Color& color )
{
  // we NEED a reference image for size etc.
  if (!original) return NULL;

  // actually create a new empty segmentation
  PixelType pixelType(mitk::MakeScalarPixelType<DefaultSegmentationDataType>() );
  Image::Pointer segmentation = Image::New();

  if (original->GetDimension() == 2)
  {
    const unsigned int dimensions[] = { original->GetDimension(0), original->GetDimension(1), 1 };
    segmentation->Initialize(pixelType, 3, dimensions);
  }
  else
  {
    segmentation->Initialize(pixelType, original->GetDimension(), original->GetDimensions());
  }

  unsigned int byteSize = sizeof(DefaultSegmentationDataType);

  if(segmentation->GetDimension() < 4)
  {
    for (unsigned int dim = 0; dim < segmentation->GetDimension(); ++dim)
    {
      byteSize *= segmentation->GetDimension(dim);
    }

    mitk::ImageWriteAccessor writeAccess(segmentation, segmentation->GetVolumeData(0));

    memset( writeAccess.GetData(), 0, byteSize );
  }
  else
  {//if we have a time-resolved image we need to set memory to 0 for each time step
    for (unsigned int dim = 0; dim < 3; ++dim)
    {
      byteSize *= segmentation->GetDimension(dim);
    }

    for( unsigned int volumeNumber = 0; volumeNumber < segmentation->GetDimension(3); volumeNumber++)
    {
      mitk::ImageWriteAccessor writeAccess(segmentation, segmentation->GetVolumeData(volumeNumber));

      memset( writeAccess.GetData(), 0, byteSize );
    }
  }

  if (original->GetTimeGeometry() )
  {
    TimeGeometry::Pointer originalGeometry = original->GetTimeGeometry()->Clone();
    segmentation->SetTimeGeometry( originalGeometry );
  }
  else
  {
    Tool::ErrorMessage("Original image does not have a 'Time sliced geometry'! Cannot create a segmentation.");
    return NULL;
  }

  return CreateSegmentationNode( segmentation, organName, color );
}

void mitk::SegTool2D::WriteBackSegmentationResult(std::vector<mitk::SegTool2D::SliceInformation> sliceList, bool writeSliceToVolume)
{
  std::vector<mitk::Surface::Pointer> contourList;
  contourList.reserve(sliceList.size());
  ImageToContourFilter::Pointer contourExtractor = ImageToContourFilter::New();

  DataNode* workingNode( m_ToolManager->GetWorkingData(0) );
  Image* image = dynamic_cast<Image*>(workingNode->GetData());

  mitk::ImageTimeSelector::Pointer timeSelector = mitk::ImageTimeSelector::New();
  timeSelector->SetInput( image );
  timeSelector->SetTimeNr( 0 );
  timeSelector->SetChannelNr( 0 );
  timeSelector->Update();
  Image::Pointer dimRefImg = timeSelector->GetOutput();

  for (unsigned int i = 0; i < sliceList.size(); ++i)
  {
    SliceInformation currentSliceInfo = sliceList.at(i);
    if(writeSliceToVolume)
      this->WriteSliceToVolume(currentSliceInfo);
    if (m_SurfaceInterpolationEnabled && dimRefImg->GetDimension() == 3)
    {
      currentSliceInfo.slice->DisconnectPipeline();
      contourExtractor->SetInput(currentSliceInfo.slice);
      contourExtractor->Update();
      mitk::Surface::Pointer contour = contourExtractor->GetOutput();
      contour->DisconnectPipeline();

      contourList.push_back(contour);
    }
  }
  mitk::SurfaceInterpolationController::GetInstance()->AddNewContours(contourList);
  mitk::RenderingManager::GetInstance()->RequestUpdateAll();
}

void mitk::SegTool2D::UpdateSurfaceInterpolation(const Image *slice,
                                                 const Image *workingImage,
                                                 const PlaneGeometry *plane,
                                                 bool detectIntersection)
{
  if (!m_SurfaceInterpolationEnabled)
    return;

  ImageToContourFilter::Pointer contourExtractor = ImageToContourFilter::New();
  mitk::Surface::Pointer contour;

  if (detectIntersection)
  {
    // Test whether there is something to extract or whether the slice just contains intersections of others
    mitk::Image::Pointer slice2 = slice->Clone();
    mitk::MorphologicalOperations::Erode(slice2, 2, mitk::MorphologicalOperations::Ball);

    contourExtractor->SetInput(slice2);
    contourExtractor->Update();
    contour = contourExtractor->GetOutput();

    if (contour->GetVtkPolyData()->GetNumberOfPoints() == 0)
    {
      // Remove contour!
      mitk::SurfaceInterpolationController::ContourPositionInformation contourInfo;
      contourInfo.contourNormal = plane->GetNormal();
      contourInfo.contourPoint = plane->GetOrigin();
      mitk::SurfaceInterpolationController::GetInstance()->RemoveContour(contourInfo);
      return;
    }
  }

  contourExtractor->SetInput(slice);
  contourExtractor->Update();
  contour = contourExtractor->GetOutput();

  mitk::ImageTimeSelector::Pointer timeSelector = mitk::ImageTimeSelector::New();
  timeSelector->SetInput(workingImage);
  timeSelector->SetTimeNr(0);
  timeSelector->SetChannelNr(0);
  timeSelector->Update();
  Image::Pointer dimRefImg = timeSelector->GetOutput();

  if (contour->GetVtkPolyData()->GetNumberOfPoints() != 0 && dimRefImg->GetDimension() == 3)
  {
    mitk::SurfaceInterpolationController::GetInstance()->AddNewContour(contour);
    contour->DisconnectPipeline();
  }
  else
  {
    // Remove contour!
    mitk::SurfaceInterpolationController::ContourPositionInformation contourInfo;
    contourInfo.contourNormal = plane->GetNormal();
    contourInfo.contourPoint = plane->GetOrigin();
    mitk::SurfaceInterpolationController::GetInstance()->RemoveContour(contourInfo);
  }
}

void mitk::CorrectorAlgorithm::GenerateData()
{
  Image::Pointer inputImage = const_cast<Image*>(ImageToImageFilter::GetInput(0));

  if (inputImage.IsNull() || inputImage->GetDimension() != 2)
  {
    itkExceptionMacro("CorrectorAlgorithm needs a 2D image as input.");
  }

  if (m_Contour.IsNull())
  {
    itkExceptionMacro("CorrectorAlgorithm needs a Contour object as input.");
  }

  // copy the input (since m_WorkingImage will be changed later)
  m_WorkingImage = inputImage;

  TimeGeometry::Pointer originalGeometry = NULL;

  if (inputImage->GetTimeGeometry() )
  {
    originalGeometry = inputImage->GetTimeGeometry()->Clone();
    m_WorkingImage->SetTimeGeometry( originalGeometry );
  }
  else
  {
    itkExceptionMacro("Original image does not have a 'Time sliced geometry'! Cannot copy.");
  }

  Image::Pointer temporarySlice;
  // Convert to ipMITKSegmentationTYPE (because TobiasHeimannCorrectionAlgorithm relys on that data type)
  {
    itk::Image< ipMITKSegmentationTYPE, 2 >::Pointer correctPixelTypeImage;
    CastToItkImage( m_WorkingImage, correctPixelTypeImage );
    assert (correctPixelTypeImage.IsNotNull() );

    // possible bug in CastToItkImage ?
    // direction maxtrix is wrong/broken/not working after CastToItkImage, leading to a failed assertion in
    // mitk/Core/DataStructures/mitkSlicedGeometry3D.cpp, 479:
    // virtual void mitk::SlicedGeometry3D::SetSpacing(const mitk::Vector3D&): Assertion `aSpacing[0]>0 && aSpacing[1]>0 && aSpacing[2]>0' failed
    // solution here: we overwrite it with an unity matrix
    itk::Image< ipMITKSegmentationTYPE, 2 >::DirectionType imageDirection;
    imageDirection.SetIdentity();
    //correctPixelTypeImage->SetDirection(imageDirection);

    temporarySlice = this->GetOutput();
    //  temporarySlice = ImportItkImage( correctPixelTypeImage );
    m_FillColor = 1;
    m_EraseColor = 0;
    ImprovedHeimannCorrectionAlgorithm(correctPixelTypeImage);
    CastToMitkImage( correctPixelTypeImage, temporarySlice );
  }
  temporarySlice->SetTimeGeometry(originalGeometry);
}

mitk::DataNode::Pointer mitk::Tool::CreateEmptySegmentationNode( Image* original, const std::string& organName, const mitk::Color& color )
{
  // we NEED a reference image for size etc.
  if (!original) return NULL;

  // actually create a new empty segmentation
  PixelType pixelType(mitk::MakeScalarPixelType<DefaultSegmentationDataType>() );
  Image::Pointer segmentation = Image::New();

  if (original->GetDimension() == 2)
  {
    const unsigned int dimensions[] = { original->GetDimension(0), original->GetDimension(1), 1 };
    segmentation->Initialize(pixelType, 3, dimensions);
  }
  else
  {
    segmentation->Initialize(pixelType, original->GetDimension(), original->GetDimensions());
  }

  unsigned int byteSize = sizeof(DefaultSegmentationDataType);
  for (unsigned int dim = 0; dim < segmentation->GetDimension(); ++dim)
  {
    byteSize *= segmentation->GetDimension(dim);
  }
  memset( segmentation->GetData(), 0, byteSize );

  if (original->GetTimeSlicedGeometry() )
  {
    AffineGeometryFrame3D::Pointer originalGeometryAGF = original->GetTimeSlicedGeometry()->Clone();
    TimeSlicedGeometry::Pointer originalGeometry = dynamic_cast<TimeSlicedGeometry*>( originalGeometryAGF.GetPointer() );
    segmentation->SetGeometry( originalGeometry );
  }
  else
  {
    Tool::ErrorMessage("Original image does not have a 'Time sliced geometry'! Cannot create a segmentation.");
    return NULL;
  }

  return CreateSegmentationNode( segmentation, organName, color );
}

static void ReadPixel(const PixelType&, Image::Pointer image, const itk::Index<3>& index, ScalarType* returnValue)
{
  switch (image->GetDimension())
  {
  case 2:
    {
      ImagePixelReadAccessor<T, 2> readAccess(image, image->GetSliceData(0));
      *returnValue = readAccess.GetPixelByIndex(reinterpret_cast<const itk::Index<2>&>(index));
      break;
    }

  case 3:
    {
      ImagePixelReadAccessor<T, 3> readAccess(image, image->GetVolumeData(0));
      *returnValue = readAccess.GetPixelByIndex(index);
      break;
    }

  default:
    *returnValue = 0;
    break;
  }
}

bool ShowSegmentationAsSmoothedSurface::ThreadedUpdateFunction()
{
  Image::Pointer image;
  GetPointerParameter("Input", image);

  float smoothing;
  GetParameter("Smoothing", smoothing);

  float decimation;
  GetParameter("Decimation", decimation);

  float closing;
  GetParameter("Closing", closing);

  int timeNr = 0;
  GetParameter("TimeNr", timeNr);

  if (image->GetDimension() == 4)
    MITK_INFO << "CREATING SMOOTHED POLYGON MODEL (t = " << timeNr << ')';
  else
    MITK_INFO << "CREATING SMOOTHED POLYGON MODEL";

  MITK_INFO << "  Smoothing  = " << smoothing;
  MITK_INFO << "  Decimation = " << decimation;
  MITK_INFO << "  Closing    = " << closing;

  Geometry3D::Pointer geometry = dynamic_cast<Geometry3D *>(image->GetGeometry()->Clone().GetPointer());

  // Make ITK image out of MITK image

  typedef itk::Image<unsigned char, 3> CharImageType;
  typedef itk::Image<unsigned short, 3> ShortImageType;
  typedef itk::Image<float, 3> FloatImageType;

  if (image->GetDimension() == 4)
  {
    ImageTimeSelector::Pointer imageTimeSelector = ImageTimeSelector::New();
    imageTimeSelector->SetInput(image);
    imageTimeSelector->SetTimeNr(timeNr);
    imageTimeSelector->UpdateLargestPossibleRegion();
    image = imageTimeSelector->GetOutput(0);
  }

  ImageToItk<CharImageType>::Pointer imageToItkFilter = ImageToItk<CharImageType>::New();

  try
  {
    imageToItkFilter->SetInput(image);
  }
  catch (const itk::ExceptionObject &e)
  {
    // Most probably the input image type is wrong. Binary images are expected to be
    // >unsigned< char images.
    MITK_ERROR << e.GetDescription() << endl;
    return false;
  }

  imageToItkFilter->Update();

  CharImageType::Pointer itkImage = imageToItkFilter->GetOutput();

  // Get bounding box and relabel

  MITK_INFO << "Extracting VOI...";

  int imageLabel = 1;
  bool roiFound = false;

  CharImageType::IndexType minIndex;
  minIndex.Fill(numeric_limits<CharImageType::IndexValueType>::max());

  CharImageType::IndexType maxIndex;
  maxIndex.Fill(numeric_limits<CharImageType::IndexValueType>::min());

  itk::ImageRegionIteratorWithIndex<CharImageType> iter(itkImage, itkImage->GetLargestPossibleRegion());

  for (iter.GoToBegin(); !iter.IsAtEnd(); ++iter)
  {
    if (iter.Get() == imageLabel)
    {
      roiFound = true;
      iter.Set(1);

      CharImageType::IndexType currentIndex = iter.GetIndex();

      for (unsigned int dim = 0; dim < 3; ++dim)
      {
        minIndex[dim] = min(currentIndex[dim], minIndex[dim]);
        maxIndex[dim] = max(currentIndex[dim], maxIndex[dim]);
      }
    }
    else
    {
      iter.Set(0);
    }
  }

  if (!roiFound)
  {
    ProgressBar::GetInstance()->Progress(8);
//.........这里部分代码省略.........

  std::vector<BaseData::Pointer> ItkImageIO::Read()
  {
    std::vector<BaseData::Pointer> result;
    mitk::LocaleSwitch localeSwitch("C");

    Image::Pointer image = Image::New();

    const unsigned int MINDIM = 2;
    const unsigned int MAXDIM = 4;

    const std::string path = this->GetLocalFileName();

    MITK_INFO << "loading " << path << " via itk::ImageIOFactory... " << std::endl;

    // Check to see if we can read the file given the name or prefix
    if (path.empty())
    {
      mitkThrow() << "Empty filename in mitk::ItkImageIO ";
    }

    // Got to allocate space for the image. Determine the characteristics of
    // the image.
    m_ImageIO->SetFileName(path);
    m_ImageIO->ReadImageInformation();

    unsigned int ndim = m_ImageIO->GetNumberOfDimensions();
    if (ndim < MINDIM || ndim > MAXDIM)
    {
      MITK_WARN << "Sorry, only dimensions 2, 3 and 4 are supported. The given file has " << ndim
                << " dimensions! Reading as 4D.";
      ndim = MAXDIM;
    }

    itk::ImageIORegion ioRegion(ndim);
    itk::ImageIORegion::SizeType ioSize = ioRegion.GetSize();
    itk::ImageIORegion::IndexType ioStart = ioRegion.GetIndex();

    unsigned int dimensions[MAXDIM];
    dimensions[0] = 0;
    dimensions[1] = 0;
    dimensions[2] = 0;
    dimensions[3] = 0;

    ScalarType spacing[MAXDIM];
    spacing[0] = 1.0f;
    spacing[1] = 1.0f;
    spacing[2] = 1.0f;
    spacing[3] = 1.0f;

    Point3D origin;
    origin.Fill(0);

    unsigned int i;
    for (i = 0; i < ndim; ++i)
    {
      ioStart[i] = 0;
      ioSize[i] = m_ImageIO->GetDimensions(i);
      if (i < MAXDIM)
      {
        dimensions[i] = m_ImageIO->GetDimensions(i);
        spacing[i] = m_ImageIO->GetSpacing(i);
        if (spacing[i] <= 0)
          spacing[i] = 1.0f;
      }
      if (i < 3)
      {
        origin[i] = m_ImageIO->GetOrigin(i);
      }
    }

    ioRegion.SetSize(ioSize);
    ioRegion.SetIndex(ioStart);

    MITK_INFO << "ioRegion: " << ioRegion << std::endl;
    m_ImageIO->SetIORegion(ioRegion);
    void *buffer = new unsigned char[m_ImageIO->GetImageSizeInBytes()];
    m_ImageIO->Read(buffer);

    image->Initialize(MakePixelType(m_ImageIO), ndim, dimensions);
    image->SetImportChannel(buffer, 0, Image::ManageMemory);

    const itk::MetaDataDictionary &dictionary = m_ImageIO->GetMetaDataDictionary();

    // access direction of itk::Image and include spacing
    mitk::Matrix3D matrix;
    matrix.SetIdentity();
    unsigned int j, itkDimMax3 = (ndim >= 3 ? 3 : ndim);
    for (i = 0; i < itkDimMax3; ++i)
      for (j = 0; j < itkDimMax3; ++j)
        matrix[i][j] = m_ImageIO->GetDirection(j)[i];

    // re-initialize PlaneGeometry with origin and direction
    PlaneGeometry *planeGeometry = image->GetSlicedGeometry(0)->GetPlaneGeometry(0);
    planeGeometry->SetOrigin(origin);
    planeGeometry->GetIndexToWorldTransform()->SetMatrix(matrix);

    // re-initialize SlicedGeometry3D
    SlicedGeometry3D *slicedGeometry = image->GetSlicedGeometry(0);
    slicedGeometry->InitializeEvenlySpaced(planeGeometry, image->GetDimension(2));
    slicedGeometry->SetSpacing(spacing);
//.........这里部分代码省略.........

  bool ShowSegmentationAsSurface::ThreadedUpdateFunction()
  {
    Image::Pointer image;
    GetPointerParameter("Input", image);

    bool smooth(true);
    GetParameter("Smooth", smooth);

    bool applyMedian(true);
    GetParameter("Apply median", applyMedian);

    bool decimateMesh(true);
    GetParameter("Decimate mesh", decimateMesh);

    unsigned int medianKernelSize(3);
    GetParameter("Median kernel size", medianKernelSize);

    float gaussianSD(1.5);
    GetParameter("Gaussian SD", gaussianSD);

    float reductionRate(0.8);
    GetParameter("Decimation rate", reductionRate);

    MITK_INFO << "Creating polygon model with smoothing " << smooth << " gaussianSD " << gaussianSD << " median "
              << applyMedian << " median kernel " << medianKernelSize << " mesh reduction " << decimateMesh
              << " reductionRate " << reductionRate;

    ManualSegmentationToSurfaceFilter::Pointer surfaceFilter = ManualSegmentationToSurfaceFilter::New();
    surfaceFilter->SetInput(image);
    surfaceFilter->SetThreshold(0.5); // expects binary image with zeros and ones

    surfaceFilter->SetUseGaussianImageSmooth(smooth); // apply gaussian to thresholded image ?
    surfaceFilter->SetSmooth(smooth);
    if (smooth)
    {
      surfaceFilter->InterpolationOn();
      surfaceFilter->SetGaussianStandardDeviation(gaussianSD);
    }

    surfaceFilter->SetMedianFilter3D(applyMedian); // apply median to segmentation before marching cubes ?
    if (applyMedian)
    {
      surfaceFilter->SetMedianKernelSize(
        medianKernelSize, medianKernelSize, medianKernelSize); // apply median to segmentation before marching cubes
    }

    // fix to avoid vtk warnings see bug #5390
    if (image->GetDimension() > 3)
      decimateMesh = false;

    if (decimateMesh)
    {
      surfaceFilter->SetDecimate(ImageToSurfaceFilter::QuadricDecimation);
      surfaceFilter->SetTargetReduction(reductionRate);
    }
    else
    {
      surfaceFilter->SetDecimate(ImageToSurfaceFilter::NoDecimation);
    }

    surfaceFilter->UpdateLargestPossibleRegion();

    // calculate normals for nicer display
    m_Surface = surfaceFilter->GetOutput();

    vtkPolyData *polyData = m_Surface->GetVtkPolyData();

    if (!polyData)
      throw std::logic_error("Could not create polygon model");

    polyData->SetVerts(0);
    polyData->SetLines(0);

    if (smooth || applyMedian || decimateMesh)
    {
      vtkPolyDataNormals *normalsGen = vtkPolyDataNormals::New();

      normalsGen->AutoOrientNormalsOn();
      normalsGen->FlipNormalsOff();
      normalsGen->SetInputData(polyData);
      normalsGen->Update();

      m_Surface->SetVtkPolyData(normalsGen->GetOutput());

      normalsGen->Delete();
    }
    else
    {
      m_Surface->SetVtkPolyData(polyData);
    }

    return true;
  }

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);
    }
}

std::vector<BaseData::Pointer> LabelSetImageIO::Read()
{
  const std::string& locale = "C";
  const std::string& currLocale = setlocale( LC_ALL, NULL );

  if ( locale.compare(currLocale)!=0 )
  {
    try
    {
      setlocale(LC_ALL, locale.c_str());
    }
    catch(...)
    {
      mitkThrow() << "Could not set locale.";
    }
  }

  // begin regular image loading, adapted from mitkItkImageIO
  itk::NrrdImageIO::Pointer nrrdImageIO = itk::NrrdImageIO::New();
  Image::Pointer image = Image::New();

  const unsigned int MINDIM = 2;
  const unsigned int MAXDIM = 4;

  const std::string path = this->GetLocalFileName();

  MITK_INFO << "loading " << path << " via itk::ImageIOFactory... " << std::endl;

  // Check to see if we can read the file given the name or prefix
  if (path.empty())
  {
    mitkThrow() << "Empty filename in mitk::ItkImageIO ";
  }

  // Got to allocate space for the image. Determine the characteristics of
  // the image.
  nrrdImageIO->SetFileName(path);
  nrrdImageIO->ReadImageInformation();

  unsigned int ndim = nrrdImageIO->GetNumberOfDimensions();
  if (ndim < MINDIM || ndim > MAXDIM)
  {
    MITK_WARN << "Sorry, only dimensions 2, 3 and 4 are supported. The given file has " << ndim << " dimensions! Reading as 4D.";
    ndim = MAXDIM;
  }

  itk::ImageIORegion ioRegion(ndim);
  itk::ImageIORegion::SizeType ioSize = ioRegion.GetSize();
  itk::ImageIORegion::IndexType ioStart = ioRegion.GetIndex();

  unsigned int dimensions[MAXDIM];
  dimensions[0] = 0;
  dimensions[1] = 0;
  dimensions[2] = 0;
  dimensions[3] = 0;

  ScalarType spacing[MAXDIM];
  spacing[0] = 1.0f;
  spacing[1] = 1.0f;
  spacing[2] = 1.0f;
  spacing[3] = 1.0f;

  Point3D origin;
  origin.Fill(0);

  unsigned int i;
  for (i = 0; i < ndim; ++i)
  {
    ioStart[i] = 0;
    ioSize[i] = nrrdImageIO->GetDimensions(i);
    if (i<MAXDIM)
    {
      dimensions[i] = nrrdImageIO->GetDimensions(i);
      spacing[i] = nrrdImageIO->GetSpacing(i);
      if (spacing[i] <= 0)
        spacing[i] = 1.0f;
    }
    if (i<3)
    {
      origin[i] = nrrdImageIO->GetOrigin(i);
    }
  }

  ioRegion.SetSize(ioSize);
  ioRegion.SetIndex(ioStart);

  MITK_INFO << "ioRegion: " << ioRegion << std::endl;
  nrrdImageIO->SetIORegion(ioRegion);
  void* buffer = new unsigned char[nrrdImageIO->GetImageSizeInBytes()];
  nrrdImageIO->Read(buffer);

  image->Initialize(MakePixelType(nrrdImageIO), ndim, dimensions);
  image->SetImportChannel(buffer, 0, Image::ManageMemory);

  // access direction of itk::Image and include spacing
  mitk::Matrix3D matrix;
  matrix.SetIdentity();
  unsigned int j, itkDimMax3 = (ndim >= 3 ? 3 : ndim);
  for (i = 0; i < itkDimMax3; ++i)
    for (j = 0; j < itkDimMax3; ++j)
//.........这里部分代码省略.........

void mitk::CorrectorAlgorithm::GenerateData()
{
  Image::Pointer inputImage = const_cast<Image*>(ImageToImageFilter::GetInput(0));

  if (inputImage.IsNull() || inputImage->GetDimension() != 2)
  {
    itkExceptionMacro("CorrectorAlgorithm needs a 2D image as input.");
  }

  if (m_Contour.IsNull())
  {
    itkExceptionMacro("CorrectorAlgorithm needs a Contour object as input.");
  }

   // copy the input (since m_WorkingImage will be changed later)
  m_WorkingImage = Image::New();
  m_WorkingImage->Initialize( inputImage );
  m_WorkingImage->SetVolume( inputImage.GetPointer()->GetData() );

  if (inputImage->GetTimeSlicedGeometry() )
  {
    AffineGeometryFrame3D::Pointer originalGeometryAGF = inputImage->GetTimeSlicedGeometry()->Clone();
    TimeSlicedGeometry::Pointer originalGeometry = dynamic_cast<TimeSlicedGeometry*>( originalGeometryAGF.GetPointer() );
    m_WorkingImage->SetGeometry( originalGeometry );
  }
  else
  {
    itkExceptionMacro("Original image does not have a 'Time sliced geometry'! Cannot copy.");
  }

 
  // Convert to ipMITKSegmentationTYPE (because TobiasHeimannCorrectionAlgorithm relys on that data type)
  itk::Image< ipMITKSegmentationTYPE, 2 >::Pointer correctPixelTypeImage;
  CastToItkImage( m_WorkingImage, correctPixelTypeImage );
  assert (correctPixelTypeImage.IsNotNull() );

  // possible bug in CastToItkImage ?
  // direction maxtrix is wrong/broken/not working after CastToItkImage, leading to a failed assertion in
  // mitk/Core/DataStructures/mitkSlicedGeometry3D.cpp, 479:
  // virtual void mitk::SlicedGeometry3D::SetSpacing(const mitk::Vector3D&): Assertion `aSpacing[0]>0 && aSpacing[1]>0 && aSpacing[2]>0' failed
  // solution here: we overwrite it with an unity matrix
  itk::Image< ipMITKSegmentationTYPE, 2 >::DirectionType imageDirection;
  imageDirection.SetIdentity();
  correctPixelTypeImage->SetDirection(imageDirection);

  Image::Pointer temporarySlice = this->GetOutput();
  //  temporarySlice = ImportItkImage( correctPixelTypeImage );
  CastToMitkImage( correctPixelTypeImage, temporarySlice );

  TobiasHeimannCorrectionAlgorithm( temporarySlice->GetSliceData()->GetPicDescriptor() );

  // temporarySlice is our return value (user  can get it by calling GetOutput() )

  CalculateDifferenceImage( temporarySlice, inputImage );
  if ( m_DifferenceImage.IsNotNull() && inputImage->GetTimeSlicedGeometry() )
  {
    AffineGeometryFrame3D::Pointer originalGeometryAGF = inputImage->GetTimeSlicedGeometry()->Clone();
    TimeSlicedGeometry::Pointer originalGeometry = dynamic_cast<TimeSlicedGeometry*>( originalGeometryAGF.GetPointer() );
    m_DifferenceImage->SetGeometry( originalGeometry );
  }
  else
  {
    itkExceptionMacro("Original image does not have a 'Time sliced geometry'! Cannot copy.");
  }
}

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.........

std::vector<BaseData::Pointer> ItkImageIO::Read()
{
  std::vector<BaseData::Pointer> result;

  const std::string& locale = "C";
  const std::string& currLocale = setlocale( LC_ALL, NULL );

  if ( locale.compare(currLocale)!=0 )
  {
    try
    {
      setlocale(LC_ALL, locale.c_str());
    }
    catch(...)
    {
      MITK_INFO << "Could not set locale " << locale;
    }
  }

  Image::Pointer image = Image::New();

  const unsigned int MINDIM = 2;
  const unsigned int MAXDIM = 4;

  const std::string path = this->GetLocalFileName();

  MITK_INFO << "loading " << path << " via itk::ImageIOFactory... " << std::endl;

  // Check to see if we can read the file given the name or prefix
  if (path.empty())
  {
    mitkThrow() << "Empty filename in mitk::ItkImageIO ";
  }

  // Got to allocate space for the image. Determine the characteristics of
  // the image.
  m_ImageIO->SetFileName( path );
  m_ImageIO->ReadImageInformation();

  unsigned int ndim = m_ImageIO->GetNumberOfDimensions();
  if ( ndim < MINDIM || ndim > MAXDIM )
  {
    MITK_WARN << "Sorry, only dimensions 2, 3 and 4 are supported. The given file has " << ndim << " dimensions! Reading as 4D.";
    ndim = MAXDIM;
  }

  itk::ImageIORegion ioRegion( ndim );
  itk::ImageIORegion::SizeType ioSize = ioRegion.GetSize();
  itk::ImageIORegion::IndexType ioStart = ioRegion.GetIndex();

  unsigned int dimensions[ MAXDIM ];
  dimensions[ 0 ] = 0;
  dimensions[ 1 ] = 0;
  dimensions[ 2 ] = 0;
  dimensions[ 3 ] = 0;

  ScalarType spacing[ MAXDIM ];
  spacing[ 0 ] = 1.0f;
  spacing[ 1 ] = 1.0f;
  spacing[ 2 ] = 1.0f;
  spacing[ 3 ] = 1.0f;

  Point3D origin;
  origin.Fill(0);

  unsigned int i;
  for ( i = 0; i < ndim ; ++i )
  {
    ioStart[ i ] = 0;
    ioSize[ i ] = m_ImageIO->GetDimensions( i );
    if(i<MAXDIM)
    {
      dimensions[ i ] = m_ImageIO->GetDimensions( i );
      spacing[ i ] = m_ImageIO->GetSpacing( i );
      if(spacing[ i ] <= 0)
        spacing[ i ] = 1.0f;
    }
    if(i<3)
    {
      origin[ i ] = m_ImageIO->GetOrigin( i );
    }
  }

  ioRegion.SetSize( ioSize );
  ioRegion.SetIndex( ioStart );

  MITK_INFO << "ioRegion: " << ioRegion << std::endl;
  m_ImageIO->SetIORegion( ioRegion );
  void* buffer = new unsigned char[m_ImageIO->GetImageSizeInBytes()];
  m_ImageIO->Read( buffer );

  image->Initialize( MakePixelType(m_ImageIO), ndim, dimensions );
  image->SetImportChannel( buffer, 0, Image::ManageMemory );

  // access direction of itk::Image and include spacing
  mitk::Matrix3D matrix;
  matrix.SetIdentity();
  unsigned int j, itkDimMax3 = (ndim >= 3? 3 : ndim);
  for ( i=0; i < itkDimMax3; ++i)
    for( j=0; j < itkDimMax3; ++j )
//.........这里部分代码省略.........