mitkLabelSetImageToSurfaceFilter.cpp

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/*===================================================================

The Medical Imaging Interaction Toolkit (MITK)

Copyright (c) German Cancer Research Center,
Division of Medical and Biological Informatics.
All rights reserved.

This software is distributed WITHOUT ANY WARRANTY; without
even the implied warranty of MERCHANTABILITY or FITNESS FOR
A PARTICULAR PURPOSE.

See LICENSE.txt or http://www.mitk.org for details.

===================================================================*/

#include <mitkLabelSetImageToSurfaceFilter.h>

#include <mitkImageAccessByItk.h>
#include <mitkImageCast.h>

// itk
#include <itkAntiAliasBinaryImageFilter.h>
#include <itkAutoCropLabelMapFilter.h>
#include <itkBinaryThresholdImageFilter.h>
#include <itkLabelImageToLabelMapFilter.h>
#include <itkLabelMap.h>
#include <itkLabelMapToLabelImageFilter.h>
#include <itkLabelObject.h>
#include <itkNumericTraits.h>
#include <itkSmoothingRecursiveGaussianImageFilter.h>

// vtk
#include <vtkCleanPolyData.h>
#include <vtkImageChangeInformation.h>
#include <vtkImageData.h>
#include <vtkLinearTransform.h>
#include <vtkMarchingCubes.h>
#include <vtkSmartPointer.h>

mitk::LabelSetImageToSurfaceFilter::LabelSetImageToSurfaceFilter()
  : m_GenerateAllLabels(false), m_RequestedLabel(1), m_BackgroundLabel(0), m_UseSmoothing(0), m_Sigma(0.1)
{
}

mitk::LabelSetImageToSurfaceFilter::~LabelSetImageToSurfaceFilter()
{
}

void mitk::LabelSetImageToSurfaceFilter::SetInput(const mitk::Image *image)
{
  // Process object is not const-correct so the const_cast is required here
  this->ProcessObject::SetNthInput(0, const_cast<mitk::Image *>(image));
}
/*
void mitk::LabelSetImageToSurfaceFilter::SetObserver(mitk::ProcessObserver::Pointer observer)
{
   m_Observer = observer;
}
*/
const mitk::Image *mitk::LabelSetImageToSurfaceFilter::GetInput(void)
{
  if (this->GetNumberOfInputs() < 1)
  {
    return nullptr;
  }

  return static_cast<const mitk::Image *>(this->ProcessObject::GetInput(0));
}

void mitk::LabelSetImageToSurfaceFilter::GenerateOutputInformation()
{
  itkDebugMacro(<< "GenerateOutputInformation()");
}

void mitk::LabelSetImageToSurfaceFilter::GenerateData()
{
  Image::ConstPointer inputImage = this->GetInput();
  if (inputImage.IsNull())
    return;

  mitk::Surface *outputSurface = this->GetOutput();
  if (!outputSurface)
    return;

  AccessFixedDimensionByItk_1(inputImage, InternalProcessing, 3, outputSurface);
}

template <typename TPixel, unsigned int VDimension>
void mitk::LabelSetImageToSurfaceFilter::InternalProcessing(const itk::Image<TPixel, VDimension> *input,
                                                            mitk::Surface * /*surface*/)
{
  typedef itk::Image<TPixel, VDimension> ImageType;

  typedef itk::BinaryThresholdImageFilter<ImageType, ImageType> BinaryThresholdFilterType;
  typedef itk::LabelObject<TPixel, VDimension> LabelObjectType;
  typedef itk::LabelMap<LabelObjectType> LabelMapType;
  typedef itk::LabelImageToLabelMapFilter<ImageType, LabelMapType> Image2LabelMapType;
  typedef itk::AutoCropLabelMapFilter<LabelMapType> AutoCropType;
  typedef itk::LabelMapToLabelImageFilter<LabelMapType, ImageType> LabelMap2ImageType;

  typedef itk::Image<float, VDimension> RealImageType;

  typedef itk::AntiAliasBinaryImageFilter<ImageType, RealImageType> AntiAliasFilterType;
  typedef itk::SmoothingRecursiveGaussianImageFilter<RealImageType, RealImageType> GaussianFilterType;

  typename BinaryThresholdFilterType::Pointer thresholdFilter = BinaryThresholdFilterType::New();
  thresholdFilter->SetInput(input);
  thresholdFilter->SetLowerThreshold(m_RequestedLabel);
  thresholdFilter->SetUpperThreshold(m_RequestedLabel);
  thresholdFilter->SetOutsideValue(0);
  thresholdFilter->SetInsideValue(1);
  //  thresholdFilter->ReleaseDataFlagOn();
  thresholdFilter->Update();

  typename Image2LabelMapType::Pointer image2label = Image2LabelMapType::New();
  image2label->SetInput(thresholdFilter->GetOutput());

  typename AutoCropType::SizeType border;
  border[0] = 3;
  border[1] = 3;
  border[2] = 3;

  typename AutoCropType::Pointer autoCropFilter = AutoCropType::New();
  autoCropFilter->SetInput(image2label->GetOutput());
  autoCropFilter->SetCropBorder(border);
  autoCropFilter->InPlaceOn();

  typename LabelMap2ImageType::Pointer label2image = LabelMap2ImageType::New();
  label2image->SetInput(autoCropFilter->GetOutput());

  label2image->Update();

  typename AntiAliasFilterType::Pointer antiAliasFilter = AntiAliasFilterType::New();
  antiAliasFilter->SetInput(label2image->GetOutput());
  antiAliasFilter->SetMaximumRMSError(0.001);
  antiAliasFilter->SetNumberOfLayers(3);
  antiAliasFilter->SetUseImageSpacing(false);
  antiAliasFilter->SetNumberOfIterations(40);

  antiAliasFilter->Update();

  typename RealImageType::Pointer result;

  if (m_UseSmoothing)
  {
    typename GaussianFilterType::Pointer gaussianFilter = GaussianFilterType::New();
    gaussianFilter->SetSigma(m_Sigma);
    gaussianFilter->SetInput(antiAliasFilter->GetOutput());
    gaussianFilter->Update();
    result = gaussianFilter->GetOutput();
  }
  else
  {
    result = antiAliasFilter->GetOutput();
  }

  result->DisconnectPipeline();

  typename ImageType::RegionType cropRegion;
  cropRegion = autoCropFilter->GetOutput()->GetLargestPossibleRegion();

  const typename ImageType::IndexType &cropIndex = cropRegion.GetIndex();

  m_ResultImage = mitk::Image::New();
  mitk::CastToMitkImage(result, m_ResultImage);

  mitk::BaseGeometry *newGeometry = m_ResultImage->GetSlicedGeometry();
  mitk::Point3D origin;
  vtk2itk(cropIndex, origin);
  this->GetInput()->GetGeometry()->IndexToWorld(origin, origin);
  newGeometry->SetOrigin(origin);

  vtkImageData *vtkimage = const_cast<vtkImageData *>(m_ResultImage->GetVtkImageData(0));

  vtkSmartPointer<vtkImageChangeInformation> indexCoordinatesImageFilter =
    vtkSmartPointer<vtkImageChangeInformation>::New();
  indexCoordinatesImageFilter->SetInputData(vtkimage);
  indexCoordinatesImageFilter->SetOutputOrigin(0.0, 0.0, 0.0);

  vtkSmartPointer<vtkMarchingCubes> marching = vtkSmartPointer<vtkMarchingCubes>::New();
  marching->ComputeScalarsOff();
  marching->ComputeNormalsOn();
  marching->ComputeGradientsOn();
  marching->SetInputConnection(indexCoordinatesImageFilter->GetOutputPort());
  marching->SetValue(0, 0.0);

  marching->Update();

  vtkPolyData *polydata = marching->GetOutput();

  if ((!polydata) || (!polydata->GetNumberOfPoints()))
    throw itk::ExceptionObject(__FILE__, __LINE__, "marching cubes has failed.");

  mitk::Vector3D spacing = newGeometry->GetSpacing();

  vtkPoints *points = polydata->GetPoints();
  vtkMatrix4x4 *vtkmatrix = vtkMatrix4x4::New();
  newGeometry->GetVtkTransform()->GetMatrix(vtkmatrix);
  double(*matrix)[4] = vtkmatrix->Element;

  for (int i = 0; i < 3; ++i)
    for (int j = 0; j < 3; ++j)
      matrix[i][j] /= spacing[j];

  unsigned int n = points->GetNumberOfPoints();
  double point[3];

  for (unsigned int i = 0; i < n; i++)
  {
    points->GetPoint(i, point);
    mitkVtkLinearTransformPoint(matrix, point, point);
    points->SetPoint(i, point);
  }
  vtkmatrix->Delete();

  vtkSmartPointer<vtkCleanPolyData> cleanPolyDataFilter = vtkSmartPointer<vtkCleanPolyData>::New();
  cleanPolyDataFilter->SetInputData(polydata);
  cleanPolyDataFilter->PieceInvariantOff();
  cleanPolyDataFilter->ConvertLinesToPointsOff();
  cleanPolyDataFilter->ConvertPolysToLinesOff();
  cleanPolyDataFilter->ConvertStripsToPolysOff();
  cleanPolyDataFilter->PointMergingOn();
  cleanPolyDataFilter->Update();

  mitk::Surface::Pointer output = this->GetOutput(0);
  output->SetVtkPolyData(cleanPolyDataFilter->GetOutput(), 0);
}