コード例 #1
0
std::vector<double> computeDistances(MeshType::Pointer mesh1, MeshType::Pointer mesh2, unsigned numberOfSamplingPoints) {

    #if (ITK_VERSION_MAJOR == 4 && ITK_VERSION_MINOR >= 4)
    typedef itk::PointsLocator< MeshType::PointsContainer > PointsLocatorType;
    #else
    typedef itk::PointsLocator<int, 3, double, MeshType::PointsContainer > PointsLocatorType;
    #endif

    PointsLocatorType::Pointer ptLocator = PointsLocatorType::New();
    ptLocator->SetPoints(mesh2->GetPoints());
    ptLocator->Initialize();


    // we assume that the mesh points are approximately uniformely distributed.
    // TODO replace with a real uniform sampling

    std::vector<double> distanceValues;

    double totalDist = 0;
    vnl_random randGen;

    for (unsigned i = 0; i < numberOfSamplingPoints; i++) {
        unsigned ptId = randGen.lrand32(mesh1->GetNumberOfPoints() - 1);

        MeshType::PointType sourcePt = mesh1->GetPoint(ptId);
        int closestPointId = ptLocator->FindClosestPoint(sourcePt);
        MeshType::PointType targetPt = mesh2->GetPoint(closestPointId);
        distanceValues.push_back(computeEuclideanPointDist(sourcePt, targetPt));
    }
    return distanceValues;
}
コード例 #2
0
BinaryImageType::Pointer meshToBinaryImage(MeshType::Pointer mesh, unsigned imageResolution, double imageMargin) {
typedef itk::TriangleMeshToBinaryImageFilter<MeshType, BinaryImageType> TriangleMeshToBinaryImageFilterType;

    // We transform the mesh to a binary image
    TriangleMeshToBinaryImageFilterType::Pointer meshToBinImageFilter = TriangleMeshToBinaryImageFilterType::New();


    // we choose the image slightly larger than the bounding box of the mesh
    const MeshType::BoundingBoxType* boundingBox = mesh->GetBoundingBox();
    PointType minPt = boundingBox->GetMinimum();
    for (unsigned d = 0; d < 3; d++) {minPt.SetElement(d, minPt.GetElement(d) - imageMargin); }
    PointType maxPt = boundingBox->GetMaximum();
    for (unsigned d = 0; d < 3; d++) {maxPt.SetElement(d, maxPt.GetElement(d) + imageMargin); }

    meshToBinImageFilter->SetOrigin(minPt);
    TriangleMeshToBinaryImageFilterType::SizeType size;
    for (unsigned d = 0; d < 3; d++) {
    size[d] = imageResolution;
    }

    meshToBinImageFilter->SetSize(size);
    TriangleMeshToBinaryImageFilterType::SpacingType spacing;
    for (unsigned d = 0; d < 3; d++) { spacing[d] = (maxPt[d] - minPt[d]) / size[d]; }
   meshToBinImageFilter->SetSpacing(spacing);

    meshToBinImageFilter->SetInput(mesh);
    meshToBinImageFilter->Update();
    return meshToBinImageFilter->GetOutput();
}
コード例 #3
0
MeshType::Pointer cloneMesh(const MeshType* mesh) {

    // cloning is cumbersome - therefore we let itk do the job for, and use perform a
    // Mesh transform using the identity transform. This should result in a perfect clone.

    typedef itk::IdentityTransform<MeshType::PixelType, 3> IdentityTransformType;
    typedef itk::TransformMeshFilter<MeshType, MeshType, IdentityTransformType> TransformMeshFilterType;

    TransformMeshFilterType::Pointer tf = TransformMeshFilterType::New();
    tf->SetInput(mesh);
    IdentityTransformType::Pointer idTrans = IdentityTransformType::New();
    tf->SetTransform(idTrans);
    tf->Update();

    MeshType::Pointer clone = tf->GetOutput();
    clone->DisconnectPipeline();
    return clone;
}
コード例 #4
0
/*
 * mexFunction(): entry point for the mex function
 */
void mexFunction(int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[]) {

  // interface to deal with input arguments from Matlab
  enum InputIndexType {IN_TRI, IN_X, IN_RES, IN_SIZE, IN_ORIGIN, InputIndexType_MAX};
  MatlabImportFilter::Pointer matlabImport = MatlabImportFilter::New();
  matlabImport->ConnectToMatlabFunctionInput(nrhs, prhs);

  // check the number of input arguments
  matlabImport->CheckNumberOfArguments(2, InputIndexType_MAX);

  // register the inputs for this function at the import filter
  typedef MatlabImportFilter::MatlabInputPointer MatlabInputPointer;
  MatlabInputPointer inTRI = matlabImport->RegisterInput(IN_TRI, "TRI");
  MatlabInputPointer inX = matlabImport->RegisterInput(IN_X, "X"); // (x, y, z)
  MatlabInputPointer inRES = matlabImport->RegisterInput(IN_RES, "RES"); // (r, c, s)
  MatlabInputPointer inSIZE = matlabImport->RegisterInput(IN_SIZE, "SIZE"); // (r, c, s)
  MatlabInputPointer inORIGIN = matlabImport->RegisterInput(IN_ORIGIN, "ORIGIN"); // (x, y, z)

  // interface to deal with outputs to Matlab
  enum OutputIndexType {OUT_IM, OutputIndexType_MAX};
  MatlabExportFilter::Pointer matlabExport = MatlabExportFilter::New();
  matlabExport->ConnectToMatlabFunctionOutput(nlhs, plhs);
  
  // check that the number of outputs the user is asking for is valid
  matlabExport->CheckNumberOfArguments(0, OutputIndexType_MAX);

  // register the outputs for this function at the export filter
  typedef MatlabExportFilter::MatlabOutputPointer MatlabOutputPointer;
  MatlabOutputPointer outIM = matlabExport->RegisterOutput(OUT_IM, "IM");

  // if any input point set is empty, the outputs are empty too
  if (mxIsEmpty(inTRI->pm) || mxIsEmpty(inX->pm)) {
    matlabExport->CopyEmptyArrayToMatlab(outIM);
    return;
  }

  // get number of rows in inputs X and TRI
  mwSize nrowsX = mxGetM(inX->pm);
  mwSize nrowsTRI = mxGetM(inTRI->pm);

  // instantiate mesh
  MeshType::Pointer mesh = MeshType::New();

  // read vertices
  PointSetType::Pointer xDef = PointSetType::New(); // default: empty point set
  PointSetType::Pointer x = PointSetType::New();
  x->GetPoints()->CastToSTLContainer()
    = matlabImport->ReadVectorOfVectorsFromMatlab<PointType::CoordRepType, PointType>
    (inX, xDef->GetPoints()->CastToSTLContainer());

#ifdef DEBUG
  std::cout << "Number of X points read = " << x->GetNumberOfPoints() << std::endl;
#endif

  // assertion check
  if (nrowsX != x->GetNumberOfPoints()) {
    mexErrMsgTxt(("Input " + inX->name 
		  + ": Number of points read different from number of points provided by user").c_str()); 
  }

  // swap XY coordinates to make them compliant with ITK convention
  // (see important programming note at the help header above)
  matlabImport->SwapXYInVectorOfVectors<PointType::CoordRepType, std::vector<PointType> >
    (x->GetPoints()->CastToSTLContainer(), x->GetNumberOfPoints());

  // populate mesh with vertices
  mesh->SetPoints(x->GetPoints());

  // read triangles
  PointType triDef;
  triDef.Fill(mxGetNaN());
  for (mwIndex i = 0; i < nrowsTRI; ++i) {

    PointType triangle = matlabImport->ReadRowVectorFromMatlab<CoordType, PointType>(inTRI, i, triDef);

    // create a triangle cell to read the vertex indices of the current input triangle
    CellAutoPointer cell;
    cell.TakeOwnership(new TriangleType);

    // assign to the 0, 1, 2 elements in the triangle cell the vertex
    // indices that we have just read. Note that we have to substract
    // 1 to convert Matlab's index convention 1, 2, 3, ... to C++
    // convention 0, 1, 2, ...
    cell->SetPointId(0, triangle[0] - 1);
    cell->SetPointId(1, triangle[1] - 1);
    cell->SetPointId(2, triangle[2] - 1);

    // insert cell into the mesh
    mesh->SetCell(i, cell);
  }

#ifdef DEBUG
  std::cout << "Number of triangles read = " << mesh->GetNumberOfCells() << std::endl;
#endif

  // assertion check
  if (nrowsTRI != mesh->GetNumberOfCells()) {
    mexErrMsgTxt(("Input " + inTRI->name 
		  + ": Number of triangles read different from number of triangles provided by user").c_str()); 
  }

  // get user input parameters for the output rasterization
  ImageType::SpacingType spacingDef;
  spacingDef.Fill(1.0);
  ImageType::SpacingType spacing = matlabImport->
    ReadRowVectorFromMatlab<ImageType::SpacingValueType, ImageType::SpacingType>(inRES, spacingDef);

  ImageType::SizeType sizeDef;
  sizeDef.Fill(10);
  ImageType::SizeType size = matlabImport->
    ReadRowVectorFromMatlab<ImageType::SizeValueType, ImageType::SizeType>(inSIZE, sizeDef);

  ImageType::PointType originDef;
  originDef.Fill(0.0);
  ImageType::PointType origin = matlabImport->
    ReadRowVectorFromMatlab<ImageType::PointType::ValueType, ImageType::PointType>(inORIGIN, originDef);
  // (see important programming note at the help header above)
  matlabImport->SwapXYInVector<ImageType::PointType::ValueType, ImageType::PointType>(origin);

  // instantiate rasterization filter
  MeshFilterType::Pointer meshFilter = MeshFilterType::New();

  // smallest voxel side length
  ImageType::SpacingValueType minSpacing = spacing[0];
  for (mwIndex i = 1; i < Dimension; ++i) {
    minSpacing = std::min(minSpacing, spacing[i]);
  }

  // pass input parameters to the filter
  meshFilter->SetInput(mesh);
  meshFilter->SetSpacing(spacing);
  meshFilter->SetSize(size);
  meshFilter->SetOrigin(origin);
  meshFilter->SetTolerance(minSpacing / 10.0);
  meshFilter->SetInsideValue(1);
  meshFilter->SetOutsideValue(0);

  ImageType::IndexType start;
  start.Fill(0);
  meshFilter->SetIndex(start);

  // convert image size from itk::Size format to std::vector<mwSize>
  // so that we can use it in GraftItkImageOntoMatlab
  std::vector<mwSize> sizeStdVector(Dimension);
  for (unsigned int i = 0; i < Dimension; ++i) {
    sizeStdVector[i] = size[i];
  }

  // graft ITK filter output onto Matlab output
  matlabExport->GraftItkImageOntoMatlab<PixelType, Dimension>
    (outIM, meshFilter->GetOutput(), sizeStdVector);

#ifdef DEBUG
  std::cout << "Resolution (spacing) = " << meshFilter->GetSpacing() << std::endl;
  std::cout << "Size = " << meshFilter->GetSize() << std::endl;
  std::cout << "Origin = " << meshFilter->GetOrigin() << std::endl;
#endif
  
  // run rasterization
  meshFilter->Update();

}
コード例 #5
0
void mitk::SurfaceStampImageFilter::SurfaceStamp(int time)
{
  mitk::Image::Pointer inputImage = this->GetInput();

  const mitk::TimeGeometry *surfaceTimeGeometry = GetInput()->GetTimeGeometry();
  const mitk::TimeGeometry *imageTimeGeometry = inputImage->GetTimeGeometry();

  // Convert time step from image time-frame to surface time-frame
  mitk::TimePointType matchingTimePoint = imageTimeGeometry->TimeStepToTimePoint(time);
  mitk::TimeStepType surfaceTimeStep = surfaceTimeGeometry->TimePointToTimeStep(matchingTimePoint);

  vtkPolyData *polydata = m_Surface->GetVtkPolyData(surfaceTimeStep);
  if (!polydata)
    mitkThrow() << "Polydata is null.";

  vtkSmartPointer<vtkTransformPolyDataFilter> transformFilter = vtkSmartPointer<vtkTransformPolyDataFilter>::New();
  transformFilter->SetInputData(polydata);
  //  transformFilter->ReleaseDataFlagOn();

  vtkSmartPointer<vtkTransform> transform = vtkSmartPointer<vtkTransform>::New();
  BaseGeometry::Pointer geometry = surfaceTimeGeometry->GetGeometryForTimeStep(surfaceTimeStep);

  transform->PostMultiply();
  transform->Concatenate(geometry->GetVtkTransform()->GetMatrix());
  // take image geometry into account. vtk-Image information will be changed to unit spacing and zero origin below.
  BaseGeometry::Pointer imageGeometry = imageTimeGeometry->GetGeometryForTimeStep(time);

  transform->Concatenate(imageGeometry->GetVtkTransform()->GetLinearInverse());
  transformFilter->SetTransform(transform);
  transformFilter->Update();

  polydata = transformFilter->GetOutput();

  if (!polydata || !polydata->GetNumberOfPoints())
    mitkThrow() << "Polydata retrieved from transformation is null or has no points.";

  MeshType::Pointer mesh = MeshType::New();
  mesh->SetCellsAllocationMethod(MeshType::CellsAllocatedDynamicallyCellByCell);
  unsigned int numberOfPoints = polydata->GetNumberOfPoints();
  mesh->GetPoints()->Reserve(numberOfPoints);

  vtkPoints *points = polydata->GetPoints();

  MeshType::PointType point;
  for (unsigned int i = 0; i < numberOfPoints; i++)
  {
    double *aux = points->GetPoint(i);
    point[0] = aux[0];
    point[1] = aux[1];
    point[2] = aux[2];
    mesh->SetPoint(i, point);
  }

  // Load the polygons into the itk::Mesh
  typedef MeshType::CellAutoPointer CellAutoPointerType;
  typedef MeshType::CellType CellType;
  typedef itk::TriangleCell<CellType> TriangleCellType;
  typedef MeshType::PointIdentifier PointIdentifierType;
  typedef MeshType::CellIdentifier CellIdentifierType;

  // Read the number of polygons
  CellIdentifierType numberOfPolygons = 0;
  numberOfPolygons = polydata->GetNumberOfPolys();

  PointIdentifierType numberOfCellPoints = 3;
  CellIdentifierType i = 0;

  for (i = 0; i < numberOfPolygons; i++)
  {
    vtkIdList *cellIds;
    vtkCell *vcell = polydata->GetCell(i);
    cellIds = vcell->GetPointIds();

    CellAutoPointerType cell;
    auto *triangleCell = new TriangleCellType;
    PointIdentifierType k;
    for (k = 0; k < numberOfCellPoints; k++)
    {
      triangleCell->SetPointId(k, cellIds->GetId(k));
    }

    cell.TakeOwnership(triangleCell);
    mesh->SetCell(i, cell);
  }

  if (!mesh->GetNumberOfPoints())
    mitkThrow() << "Generated itk mesh is empty.";

  if (m_MakeOutputBinary)
  {
    this->SurfaceStampBinaryOutputProcessing(mesh);
  }
  else
  {
    AccessFixedDimensionByItk_1(inputImage, SurfaceStampProcessing, 3, mesh);
  }
}