diff --git a/Core/Code/Algorithms/mitkExtractSliceFilter.cpp b/Core/Code/Algorithms/mitkExtractSliceFilter.cpp index 1f0effc099..a6325327c0 100644 --- a/Core/Code/Algorithms/mitkExtractSliceFilter.cpp +++ b/Core/Code/Algorithms/mitkExtractSliceFilter.cpp @@ -1,593 +1,592 @@ -/*========================================================================= +/*=================================================================== -Program: Medical Imaging & Interaction Toolkit -Language: C++ -Date: $Date$ -Version: $Revision: $ +The Medical Imaging Interaction Toolkit (MITK) -Copyright (c) German Cancer Research Center, Division of Medical and -Biological Informatics. All rights reserved. -See MITKCopyright.txt or http://www.mitk.org/copyright.html for details. +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 the above copyright notices for more information. +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 "mitkExtractSliceFilter.h" #include #include #include #include #include #include mitk::ExtractSliceFilter::ExtractSliceFilter(vtkImageReslice* reslicer ){ if(reslicer == NULL){ m_Reslicer = vtkSmartPointer::New(); } else { m_Reslicer = reslicer; } m_TimeStep = 0; m_Reslicer->ReleaseDataFlagOn(); m_InterpolationMode = ExtractSliceFilter::RESLICE_NEAREST; m_ResliceTransform = NULL; m_InPlaneResampleExtentByGeometry = false; m_OutPutSpacing = new mitk::ScalarType[2]; m_OutputDimension = 2; m_ZSpacing = 1.0; m_ZMin = 0; m_ZMax = 0; m_VtkOutputRequested = false; } mitk::ExtractSliceFilter::~ExtractSliceFilter(){ m_ResliceTransform = NULL; m_WorldGeometry = NULL; delete [] m_OutPutSpacing; } void mitk::ExtractSliceFilter::GenerateOutputInformation(){ //TODO try figure out how to set the specs of the slice before it is actually extracted /*Image::Pointer output = this->GetOutput(); Image::ConstPointer input = this->GetInput(); if (input.IsNull()) return; unsigned int dimensions[2]; dimensions[0] = m_WorldGeometry->GetExtent(0); dimensions[1] = m_WorldGeometry->GetExtent(1); output->Initialize(input->GetPixelType(), 2, dimensions, 1);*/ } void mitk::ExtractSliceFilter::GenerateInputRequestedRegion(){ //As we want all pixel information fo the image in our plane, the requested region //is set to the largest possible region in the image. //This is needed because an oblique plane has a larger extent then the image //and the in pipeline it is checked via PropagateResquestedRegion(). But the //extent of the slice is actually fitting because it is oblique within the image. ImageToImageFilter::InputImagePointer input = const_cast< ImageToImageFilter::InputImageType* > ( this->GetInput() ); input->SetRequestedRegionToLargestPossibleRegion(); } mitk::ScalarType* mitk::ExtractSliceFilter::GetOutputSpacing(){ return m_OutPutSpacing; } void mitk::ExtractSliceFilter::GenerateData(){ mitk::Image *input = const_cast< mitk::Image * >( this->GetInput() ); if (!input) { MITK_ERROR << "mitk::ExtractSliceFilter: No input image available. Please set the input!" << std::endl; itkExceptionMacro("mitk::ExtractSliceFilter: No input image available. Please set the input!"); return; } if(!m_WorldGeometry) { MITK_ERROR << "mitk::ExtractSliceFilter: No Geometry for reslicing available." << std::endl; itkExceptionMacro("mitk::ExtractSliceFilter: No Geometry for reslicing available."); return; } const TimeSlicedGeometry *inputTimeGeometry = this->GetInput()->GetTimeSlicedGeometry(); if ( ( inputTimeGeometry == NULL ) || ( inputTimeGeometry->GetTimeSteps() == 0 ) ) { itkWarningMacro(<<"Error reading input image TimeSlicedGeometry."); return; } // is it a valid timeStep? if ( inputTimeGeometry->IsValidTime( m_TimeStep ) == false ) { itkWarningMacro(<<"This is not a valid timestep: "<< m_TimeStep ); return; } // check if there is something to display. if ( ! input->IsVolumeSet( m_TimeStep ) ) { itkWarningMacro(<<"No volume data existent at given timestep "<< m_TimeStep ); return; } /*================#BEGIN setup vtkImageRslice properties================*/ Point3D origin; Vector3D right, bottom, normal; double widthInMM, heightInMM; Vector2D extent; const PlaneGeometry* planeGeometry = dynamic_cast(m_WorldGeometry); if ( planeGeometry != NULL ) { //if the worldGeomatry is a PlaneGeometry everthing is straight forward origin = planeGeometry->GetOrigin(); right = planeGeometry->GetAxisVector( 0 ); bottom = planeGeometry->GetAxisVector( 1 ); normal = planeGeometry->GetNormal(); if ( m_InPlaneResampleExtentByGeometry ) { // Resampling grid corresponds to the current world geometry. This // means that the spacing of the output 2D image depends on the // currently selected world geometry, and *not* on the image itself. extent[0] = m_WorldGeometry->GetExtent( 0 ); extent[1] = m_WorldGeometry->GetExtent( 1 ); } else { // Resampling grid corresponds to the input geometry. This means that // the spacing of the output 2D image is directly derived from the // associated input image, regardless of the currently selected world // geometry. Vector3D rightInIndex, bottomInIndex; inputTimeGeometry->GetGeometry3D( m_TimeStep )->WorldToIndex( right, rightInIndex ); inputTimeGeometry->GetGeometry3D( m_TimeStep )->WorldToIndex( bottom, bottomInIndex ); extent[0] = rightInIndex.GetNorm(); extent[1] = bottomInIndex.GetNorm(); } // Get the extent of the current world geometry and calculate resampling // spacing therefrom. widthInMM = m_WorldGeometry->GetExtentInMM( 0 ); heightInMM = m_WorldGeometry->GetExtentInMM( 1 ); m_OutPutSpacing[0] = widthInMM / extent[0]; m_OutPutSpacing[1] = heightInMM / extent[1]; right.Normalize(); bottom.Normalize(); normal.Normalize(); /* * Transform the origin to center based coordinates. * Note: * This is needed besause vtk's origin is center based too (!!!) ( see 'The VTK book' page 88 ) * and the worldGeometry surrouding the image is no imageGeometry. So the worldGeometry * has its origin at the corner of the voxel and needs to be transformed. */ origin += right * ( m_OutPutSpacing[0] * 0.5 ); origin += bottom * ( m_OutPutSpacing[1] * 0.5 ); //set the tranform for reslicing. // Use inverse transform of the input geometry for reslicing the 3D image. // This is needed if the image volume already transformed if(m_ResliceTransform != NULL) m_Reslicer->SetResliceTransform(m_ResliceTransform->GetVtkTransform()->GetLinearInverse()); // Set background level to TRANSLUCENT (see Geometry2DDataVtkMapper3D), // else the background of the image turns out gray m_Reslicer->SetBackgroundLevel( -32768 ); } else{ //Code for curved planes, mostly taken 1:1 from imageVtkMapper2D and not tested yet. // Do we have an AbstractTransformGeometry? // This is the case for AbstractTransformGeometry's (e.g. a ThinPlateSplineCurvedGeometry ) const mitk::AbstractTransformGeometry* abstractGeometry = dynamic_cast< const AbstractTransformGeometry * >(m_WorldGeometry); if(abstractGeometry != NULL) { m_ResliceTransform = abstractGeometry; extent[0] = abstractGeometry->GetParametricExtent(0); extent[1] = abstractGeometry->GetParametricExtent(1); widthInMM = abstractGeometry->GetParametricExtentInMM(0); heightInMM = abstractGeometry->GetParametricExtentInMM(1); m_OutPutSpacing[0] = widthInMM / extent[0]; m_OutPutSpacing[1] = heightInMM / extent[1]; origin = abstractGeometry->GetPlane()->GetOrigin(); right = abstractGeometry->GetPlane()->GetAxisVector(0); right.Normalize(); bottom = abstractGeometry->GetPlane()->GetAxisVector(1); bottom.Normalize(); normal = abstractGeometry->GetPlane()->GetNormal(); normal.Normalize(); // Use a combination of the InputGeometry *and* the possible non-rigid // AbstractTransformGeometry for reslicing the 3D Image vtkSmartPointer composedResliceTransform = vtkGeneralTransform::New(); composedResliceTransform->Identity(); composedResliceTransform->Concatenate( inputTimeGeometry->GetGeometry3D( m_TimeStep )->GetVtkTransform()->GetLinearInverse() ); composedResliceTransform->Concatenate( abstractGeometry->GetVtkAbstractTransform() ); m_Reslicer->SetResliceTransform( composedResliceTransform ); composedResliceTransform->UnRegister( NULL ); // decrease RC // Set background level to BLACK instead of translucent, to avoid // boundary artifacts (see Geometry2DDataVtkMapper3D) m_Reslicer->SetBackgroundLevel( -1023 ); } else { itkExceptionMacro("mitk::ExtractSliceFilter: No fitting geometry for reslice axis!"); return; } } if(m_ResliceTransform != NULL){ //if the resliceTransform is set the reslice axis are recalculated. //Thus the geometry information is not fitting. Therefor a unitSpacingFilter //is used to set up a global spacing of 1 and compensate the transform. vtkSmartPointer unitSpacingImageFilter = vtkSmartPointer::New() ; unitSpacingImageFilter->ReleaseDataFlagOn(); unitSpacingImageFilter->SetOutputSpacing( 1.0, 1.0, 1.0 ); unitSpacingImageFilter->SetInput( input->GetVtkImageData(m_TimeStep) ); m_Reslicer->SetInput(unitSpacingImageFilter->GetOutput() ); } else { //if no tranform is set the image can be used directly m_Reslicer->SetInput(input->GetVtkImageData(m_TimeStep)); } /*setup the plane where vktImageReslice extracts the slice*/ //ResliceAxesOrigin is the ancor point of the plane double originInVtk[3]; itk2vtk(origin, originInVtk); m_Reslicer->SetResliceAxesOrigin(originInVtk); //the cosines define the plane: x and y are the direction vectors, n is the planes normal //this specifies a matrix 3x3 // x1 y1 n1 // x2 y2 n2 // x3 y3 n3 double cosines[9]; vnl2vtk(right.GetVnlVector(), cosines);//x vnl2vtk(bottom.GetVnlVector(), cosines + 3);//y vnl2vtk(normal.GetVnlVector(), cosines + 6);//n m_Reslicer->SetResliceAxesDirectionCosines(cosines); //we only have one slice, not a volume m_Reslicer->SetOutputDimensionality(m_OutputDimension); //set the interpolation mode for slicing switch(this->m_InterpolationMode){ case RESLICE_NEAREST: m_Reslicer->SetInterpolationModeToNearestNeighbor(); break; case RESLICE_LINEAR: m_Reslicer->SetInterpolationModeToLinear(); break; case RESLICE_CUBIC: m_Reslicer->SetInterpolationModeToCubic(); default: //the default interpolation used by mitk m_Reslicer->SetInterpolationModeToNearestNeighbor(); } /*========== BEGIN setup extent of the slice ==========*/ int xMin, xMax, yMin, yMax; vtkFloatingPointType sliceBounds[6]; if(m_WorldGeometry->GetReferenceGeometry()){ for ( int i = 0; i < 6; ++i ) { sliceBounds[i] = 0.0; } this->GetClippedPlaneBounds( m_WorldGeometry->GetReferenceGeometry(), planeGeometry, sliceBounds ); // Calculate output extent (integer values) xMin = static_cast< int >( sliceBounds[0] / m_OutPutSpacing[0] + 0.5 ); xMax = static_cast< int >( sliceBounds[1] / m_OutPutSpacing[0] + 0.5 ); yMin = static_cast< int >( sliceBounds[2] / m_OutPutSpacing[1] + 0.5 ); yMax = static_cast< int >( sliceBounds[3] / m_OutPutSpacing[1] + 0.5 ); }else { // If no reference geometry is available, we also don't know about the // maximum plane size; xMin = yMin = 0; xMax = static_cast< int >( extent[0]); yMax = static_cast< int >( extent[1]); } m_Reslicer->SetOutputExtent(xMin, xMax-1, yMin, yMax-1, m_ZMin, m_ZMax ); /*========== END setup extent of the slice ==========*/ m_Reslicer->SetOutputOrigin( 0.0, 0.0, 0.0 ); m_Reslicer->SetOutputSpacing( m_OutPutSpacing[0], m_OutPutSpacing[1], m_ZSpacing ); //TODO check the following lines, they are responsible wether vtk error outputs appear or not m_Reslicer->UpdateWholeExtent(); //this produces a bad allocation error for 2D images //m_Reslicer->GetOutput()->UpdateInformation(); //m_Reslicer->GetOutput()->SetUpdateExtentToWholeExtent(); //start the pipeline m_Reslicer->Update(); /*================ #END setup vtkImageRslice properties================*/ if(m_VtkOutputRequested){ return; //no converting to mitk //no mitk geometry will be set, as the output is vtkImageData only!!! } else { /*================ #BEGIN Get the slice from vtkImageReslice and convert it to mit::Image================*/ vtkImageData* reslicedImage; reslicedImage = m_Reslicer->GetOutput(); if(!reslicedImage) { itkWarningMacro(<<"Reslicer returned empty image"); return; } mitk::Image::Pointer resultImage = this->GetOutput(); //initialize resultimage with the specs of the vtkImageData object returned from vtkImageReslice resultImage->Initialize(reslicedImage); //transfer the voxel data resultImage->SetVolume(reslicedImage->GetScalarPointer()); //set the geometry from current worldgeometry for the reusultimage //this is needed that the image has the correct mitk geometry //the originalGeometry is the Geometry of the result slice AffineGeometryFrame3D::Pointer originalGeometryAGF = m_WorldGeometry->Clone(); Geometry2D::Pointer originalGeometry = dynamic_cast( originalGeometryAGF.GetPointer() ); originalGeometry->GetIndexToWorldTransform()->SetMatrix(m_WorldGeometry->GetIndexToWorldTransform()->GetMatrix()); //the origin of the worldGeometry is transformed to center based coordinates to be an imageGeometry Point3D sliceOrigin = originalGeometry->GetOrigin(); sliceOrigin += right * ( m_OutPutSpacing[0] * 0.5 ); sliceOrigin += bottom * ( m_OutPutSpacing[1] * 0.5 ); //a worldGeometry is no imageGeometry, thus it is manually set to true originalGeometry->ImageGeometryOn(); /*At this point we have to adjust the geometry because the origin isn't correct. The wrong origin is related to the rotation of the current world geometry plane. This causes errors on transfering world to index coordinates. We just shift the origin in each direction about the amount of the expanding (needed while rotating the plane). */ Vector3D axis0 = originalGeometry->GetAxisVector(0); Vector3D axis1 = originalGeometry->GetAxisVector(1); axis0.Normalize(); axis1.Normalize(); //adapt the origin. Note that for orthogonal planes the minima are '0' and thus the origin stays the same. sliceOrigin += (axis0 * (xMin * m_OutPutSpacing[0])) + (axis1 * (yMin * m_OutPutSpacing[1])); originalGeometry->SetOrigin(sliceOrigin); originalGeometry->Modified(); resultImage->SetGeometry( originalGeometry ); /*the bounds as well as the extent of the worldGeometry are not adapted correctly during crosshair rotation. This is only a quick fix and has to be evaluated. The new bounds are set via the max values of the calcuted slice extent. It will look like [ 0, x, 0, y, 0, 1]. */ mitk::BoundingBox::BoundsArrayType boundsCopy; boundsCopy[0] = boundsCopy[2] = boundsCopy[4] = 0; boundsCopy[5] = 1; boundsCopy[1] = xMax - xMin; boundsCopy[3] = yMax - yMin; resultImage->GetGeometry()->SetBounds(boundsCopy); /*================ #END Get the slice from vtkImageReslice and convert it to mitk Image================*/ } } bool mitk::ExtractSliceFilter::GetClippedPlaneBounds(vtkFloatingPointType bounds[6]){ if(!m_WorldGeometry || !this->GetInput()) return false; return this->GetClippedPlaneBounds(m_WorldGeometry->GetReferenceGeometry(), dynamic_cast< const PlaneGeometry * >( m_WorldGeometry ), bounds); } bool mitk::ExtractSliceFilter::GetClippedPlaneBounds( const Geometry3D *boundingGeometry, const PlaneGeometry *planeGeometry, vtkFloatingPointType *bounds ) { bool b = this->CalculateClippedPlaneBounds(boundingGeometry, planeGeometry, bounds); return b; } bool mitk::ExtractSliceFilter ::CalculateClippedPlaneBounds( const Geometry3D *boundingGeometry, const PlaneGeometry *planeGeometry, vtkFloatingPointType *bounds ) { // Clip the plane with the bounding geometry. To do so, the corner points // of the bounding box are transformed by the inverse transformation // matrix, and the transformed bounding box edges derived therefrom are // clipped with the plane z=0. The resulting min/max values are taken as // bounds for the image reslicer. const BoundingBox *boundingBox = boundingGeometry->GetBoundingBox(); BoundingBox::PointType bbMin = boundingBox->GetMinimum(); BoundingBox::PointType bbMax = boundingBox->GetMaximum(); BoundingBox::PointType bbCenter = boundingBox->GetCenter(); vtkPoints *points = vtkPoints::New(); if(boundingGeometry->GetImageGeometry()) { points->InsertPoint( 0, bbMin[0]-0.5, bbMin[1]-0.5, bbMin[2]-0.5 ); points->InsertPoint( 1, bbMin[0]-0.5, bbMin[1]-0.5, bbMax[2]-0.5 ); points->InsertPoint( 2, bbMin[0]-0.5, bbMax[1]-0.5, bbMax[2]-0.5 ); points->InsertPoint( 3, bbMin[0]-0.5, bbMax[1]-0.5, bbMin[2]-0.5 ); points->InsertPoint( 4, bbMax[0]-0.5, bbMin[1]-0.5, bbMin[2]-0.5 ); points->InsertPoint( 5, bbMax[0]-0.5, bbMin[1]-0.5, bbMax[2]-0.5 ); points->InsertPoint( 6, bbMax[0]-0.5, bbMax[1]-0.5, bbMax[2]-0.5 ); points->InsertPoint( 7, bbMax[0]-0.5, bbMax[1]-0.5, bbMin[2]-0.5 ); } else { points->InsertPoint( 0, bbMin[0], bbMin[1], bbMin[2] ); points->InsertPoint( 1, bbMin[0], bbMin[1], bbMax[2] ); points->InsertPoint( 2, bbMin[0], bbMax[1], bbMax[2] ); points->InsertPoint( 3, bbMin[0], bbMax[1], bbMin[2] ); points->InsertPoint( 4, bbMax[0], bbMin[1], bbMin[2] ); points->InsertPoint( 5, bbMax[0], bbMin[1], bbMax[2] ); points->InsertPoint( 6, bbMax[0], bbMax[1], bbMax[2] ); points->InsertPoint( 7, bbMax[0], bbMax[1], bbMin[2] ); } vtkPoints *newPoints = vtkPoints::New(); vtkTransform *transform = vtkTransform::New(); transform->Identity(); transform->Concatenate( planeGeometry->GetVtkTransform()->GetLinearInverse() ); transform->Concatenate( boundingGeometry->GetVtkTransform() ); transform->TransformPoints( points, newPoints ); transform->Delete(); bounds[0] = bounds[2] = 10000000.0; bounds[1] = bounds[3] = -10000000.0; bounds[4] = bounds[5] = 0.0; this->LineIntersectZero( newPoints, 0, 1, bounds ); this->LineIntersectZero( newPoints, 1, 2, bounds ); this->LineIntersectZero( newPoints, 2, 3, bounds ); this->LineIntersectZero( newPoints, 3, 0, bounds ); this->LineIntersectZero( newPoints, 0, 4, bounds ); this->LineIntersectZero( newPoints, 1, 5, bounds ); this->LineIntersectZero( newPoints, 2, 6, bounds ); this->LineIntersectZero( newPoints, 3, 7, bounds ); this->LineIntersectZero( newPoints, 4, 5, bounds ); this->LineIntersectZero( newPoints, 5, 6, bounds ); this->LineIntersectZero( newPoints, 6, 7, bounds ); this->LineIntersectZero( newPoints, 7, 4, bounds ); // clean up vtk data points->Delete(); newPoints->Delete(); if ( (bounds[0] > 9999999.0) || (bounds[2] > 9999999.0) || (bounds[1] < -9999999.0) || (bounds[3] < -9999999.0) ) { return false; } else { // The resulting bounds must be adjusted by the plane spacing, since we // we have so far dealt with index coordinates const float *planeSpacing = planeGeometry->GetFloatSpacing(); bounds[0] *= planeSpacing[0]; bounds[1] *= planeSpacing[0]; bounds[2] *= planeSpacing[1]; bounds[3] *= planeSpacing[1]; bounds[4] *= planeSpacing[2]; bounds[5] *= planeSpacing[2]; return true; } } bool mitk::ExtractSliceFilter ::LineIntersectZero( vtkPoints *points, int p1, int p2, vtkFloatingPointType *bounds ) { vtkFloatingPointType point1[3]; vtkFloatingPointType point2[3]; points->GetPoint( p1, point1 ); points->GetPoint( p2, point2 ); if ( (point1[2] * point2[2] <= 0.0) && (point1[2] != point2[2]) ) { double x, y; x = ( point1[0] * point2[2] - point1[2] * point2[0] ) / ( point2[2] - point1[2] ); y = ( point1[1] * point2[2] - point1[2] * point2[1] ) / ( point2[2] - point1[2] ); if ( x < bounds[0] ) { bounds[0] = x; } if ( x > bounds[1] ) { bounds[1] = x; } if ( y < bounds[2] ) { bounds[2] = y; } if ( y > bounds[3] ) { bounds[3] = y; } bounds[4] = bounds[5] = 0.0; return true; } return false; } \ No newline at end of file diff --git a/Core/Code/Algorithms/mitkExtractSliceFilter.h b/Core/Code/Algorithms/mitkExtractSliceFilter.h index 7645d8432a..d45603aa23 100644 --- a/Core/Code/Algorithms/mitkExtractSliceFilter.h +++ b/Core/Code/Algorithms/mitkExtractSliceFilter.h @@ -1,185 +1,184 @@ -/*========================================================================= +/*=================================================================== -Program: Medical Imaging & Interaction Toolkit -Language: C++ -Date: $Date$ -Version: $Revision: $ +The Medical Imaging Interaction Toolkit (MITK) -Copyright (c) German Cancer Research Center, Division of Medical and -Biological Informatics. All rights reserved. -See MITKCopyright.txt or http://www.mitk.org/copyright.html for details. +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 the above copyright notices for more information. +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. + +===================================================================*/ #ifndef mitkExtractSliceFilter_h_Included #define mitkExtractSliceFilter_h_Included #include "MitkExports.h" #include "mitkImageToImageFilter.h" #include #include #include #include #include #include #include namespace mitk { /** \brief ExtractSliceFilter extracts a 2D abitrary oriented slice from a 3D volume. The filter can reslice in all orthogonal planes such as sagittal, coronal and transversal, and is also able to reslice a abitrary oriented oblique plane. Curved planes are specified via an AbstractTransformGeometry as the input worldgeometry. The convinient workflow is: 1. Set an image as input. 2. Set the worldGeometry2D. This defines a grid where the slice is being extracted 3. And then start the pipeline. There are a few more properties that can be set to modify the behavior of the slicing. The properties are: - interpolation mode either Nearestneighbor, Linear or Cubic. - a transform this is a convinient way to adapt the reslice axis for the case that the image is transformed e.g. rotated. - time step the time step in a timesliced volume. - resample by geometry wether the resampling grid corresponds to the specs of the worldgeometry or is directly derived from the input image By default the properties are set to: - interpolation mode Nearestneighbor. - a transform NULL (No transform is set). - time step 0. - resample by geometry false (Corresponds to input image). */ class MITK_CORE_EXPORT ExtractSliceFilter : public ImageToImageFilter { public: mitkClassMacro(ExtractSliceFilter, ImageToImageFilter); itkNewMacro(ExtractSliceFilter); mitkNewMacro1Param(Self, vtkImageReslice*); /** \brief Set the axis where to reslice at.*/ void SetWorldGeometry(const Geometry2D* geometry ){ this->m_WorldGeometry = geometry; } /** \brief Set the time step in the 4D volume */ void SetTimeStep( unsigned int timestep){ this->m_TimeStep = timestep; } unsigned int GetTimeStep(){ return this->m_TimeStep; } /** \brief Set a transform for the reslice axes. * This transform is needed if the image volume itself is transformed. (Effects the reslice axis) */ void SetResliceTransformByGeometry(const Geometry3D* transform){ this->m_ResliceTransform = transform; } /** \brief Resampling grid corresponds to: false->image true->worldgeometry*/ void SetInPlaneResampleExtentByGeometry(bool inPlaneResampleExtentByGeometry){ this->m_InPlaneResampleExtentByGeometry = inPlaneResampleExtentByGeometry; } /** \brief Sets the output dimension of the slice*/ void SetOutputDimensionality(unsigned int dimension){ this->m_OutputDimension = dimension; } /** \brief Set the spacing in z direction manually. * Required if the outputDimension is > 2. */ void SetOutputSpacingZDirection(double zSpacing){ this->m_ZSpacing = zSpacing; } /** \brief Set the extent in pixel for direction z manualy. Required if the output dimension is > 2. */ void SetOutputExtentZDirection(int zMin, int zMax) { this->m_ZMin = zMin; this->m_ZMax = zMax; } /** \brief Get the bounding box of the slice [xMin, xMax, yMin, yMax, zMin, zMax] * The method uses the input of the filter to calculate the bounds. * It is recommended to use * GetClippedPlaneBounds(const Geometry3D*, const PlaneGeometry*, vtkFloatingPointType*) * if you are not sure about the input. */ bool GetClippedPlaneBounds(double bounds[6]); /** \brief Get the bounding box of the slice [xMin, xMax, yMin, yMax, zMin, zMax]*/ bool GetClippedPlaneBounds( const Geometry3D *boundingGeometry, const PlaneGeometry *planeGeometry, vtkFloatingPointType *bounds ); /** \brief Get the spacing of the slice. returns mitk::ScalarType[2] */ mitk::ScalarType* GetOutputSpacing(); /** \brief Get Output as vtkImageData. * Note: * SetVtkOutputRequest(true) has to be called at least once before * GetVtkOutput(). Otherwise the output is empty for the first update step. */ vtkImageData* GetVtkOutput(){ m_VtkOutputRequested = true; return m_Reslicer->GetOutput(); } /** Set VtkOutPutRequest to suppress the convertion of the image. * It is suggested to use this with GetVtkOutput(). * Note: * SetVtkOutputRequest(true) has to be called at least once before * GetVtkOutput(). Otherwise the output is empty for the first update step. */ void SetVtkOutputRequest(bool isRequested){ m_VtkOutputRequested = isRequested; } /** \brief Get the reslices axis matrix. * Note: the axis are recalculated when calling SetResliceTransformByGeometry. */ vtkMatrix4x4* GetResliceAxes(){ return this->m_Reslicer->GetResliceAxes(); } enum ResliceInterpolation { RESLICE_NEAREST, RESLICE_LINEAR, RESLICE_CUBIC }; void SetInterpolationMode( ExtractSliceFilter::ResliceInterpolation interpolation){ this->m_InterpolationMode = interpolation; } protected: ExtractSliceFilter(vtkImageReslice* reslicer = NULL); virtual ~ExtractSliceFilter(); virtual void GenerateData(); virtual void GenerateOutputInformation(); virtual void GenerateInputRequestedRegion(); const Geometry2D* m_WorldGeometry; vtkSmartPointer m_Reslicer; unsigned int m_TimeStep; unsigned int m_OutputDimension; double m_ZSpacing; int m_ZMin; int m_ZMax; ResliceInterpolation m_InterpolationMode; const Geometry3D* m_ResliceTransform; bool m_InPlaneResampleExtentByGeometry;//Resampling grid corresponds to: false->image true->worldgeometry mitk::ScalarType* m_OutPutSpacing; bool m_VtkOutputRequested; /** \brief Internal helper method for intersection testing used only in CalculateClippedPlaneBounds() */ bool LineIntersectZero( vtkPoints *points, int p1, int p2, vtkFloatingPointType *bounds ); /** \brief Calculate the bounding box of the resliced image. This is necessary for * arbitrarily rotated planes in an image volume. A rotated plane (e.g. in swivel mode) * will have a new bounding box, which needs to be calculated. */ bool CalculateClippedPlaneBounds( const Geometry3D *boundingGeometry, const PlaneGeometry *planeGeometry, vtkFloatingPointType *bounds ); }; } #endif // mitkExtractSliceFilter_h_Included \ No newline at end of file diff --git a/Core/Code/Testing/mitkExtractSliceFilterTest.cpp b/Core/Code/Testing/mitkExtractSliceFilterTest.cpp index 0d6067d787..58142d5a83 100644 --- a/Core/Code/Testing/mitkExtractSliceFilterTest.cpp +++ b/Core/Code/Testing/mitkExtractSliceFilterTest.cpp @@ -1,1161 +1,1160 @@ -/*========================================================================= +/*=================================================================== -Program: Medical Imaging & Interaction Toolkit -Language: C++ -Date: $Date$ -Version: $Revision: 7837 $ +The Medical Imaging Interaction Toolkit (MITK) -Copyright (c) German Cancer Research Center, Division of Medical and -Biological Informatics. All rights reserved. -See MITKCopyright.txt or http://www.mitk.org/copyright.html for details. +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 the above copyright notices for more information. +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 #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include //use this to create the test volume on the fly #define CREATE_VOLUME //use this to save the created volume //#define SAVE_VOLUME //use this to calculate the error from the sphere mathematical model to our pixel based one //#define CALC_TESTFAILURE_DEVIATION //use this to render an oblique slice through a specified image //#define SHOW_SLICE_IN_RENDER_WINDOW //use this to have infos printed in mbilog //#define EXTRACTOR_DEBUG /*these are the deviations calculated by the function CalcTestFailureDeviation (see for details)*/ #define Testfailure_Deviation_Mean_128 0.853842 #define Testfailure_Deviation_Volume_128 0.145184 #define Testfailure_Deviation_Diameter_128 1.5625 #define Testfailure_Deviation_Mean_256 0.397693 #define Testfailure_Deviation_Volume_256 0.0141357 #define Testfailure_Deviation_Diameter_256 0.78125 #define Testfailure_Deviation_Mean_512 0.205277 #define Testfailure_Deviation_Volume_512 0.01993 #define Testfailure_Deviation_Diameter_512 0.390625 class mitkExtractSliceFilterTestClass{ public: static void TestSlice(mitk::PlaneGeometry* planeGeometry, std::string testname) { TestPlane = planeGeometry; TestName = testname; float centerCoordValue = TestvolumeSize / 2.0; float center[3] = {centerCoordValue, centerCoordValue, centerCoordValue}; mitk::Point3D centerIndex(center); double radius = TestvolumeSize / 4.0; if(TestPlane->Distance(centerIndex) >= radius ) return;//outside sphere //feed ExtractSliceFilter mitk::ExtractSliceFilter::Pointer slicer = mitk::ExtractSliceFilter::New(); slicer->SetInput(TestVolume); slicer->SetWorldGeometry(TestPlane); slicer->Update(); MITK_TEST_CONDITION_REQUIRED(slicer->GetOutput() != NULL, "Extractor returned a slice"); mitk::Image::Pointer reslicedImage = slicer->GetOutput(); AccessFixedDimensionByItk(reslicedImage, TestSphereRadiusByItk, 2); AccessFixedDimensionByItk(reslicedImage, TestSphereAreaByItk, 2); double devArea, devDiameter; if(TestvolumeSize == 128.0){ devArea = Testfailure_Deviation_Volume_128; devDiameter = Testfailure_Deviation_Diameter_128; } else if(TestvolumeSize == 256.0){devArea = Testfailure_Deviation_Volume_256; devDiameter = Testfailure_Deviation_Diameter_256;} else if (TestvolumeSize == 512.0){devArea = Testfailure_Deviation_Volume_512; devDiameter = Testfailure_Deviation_Diameter_512;} else{devArea = Testfailure_Deviation_Volume_128; devDiameter = Testfailure_Deviation_Diameter_128;} std::string areatestName = TestName.append(" area"); std::string diametertestName = TestName.append(" testing diameter"); //TODO think about the deviation, 1% makes no sense at all MITK_TEST_CONDITION(std::abs(100 - testResults.percentageAreaCalcToPixel) < 1, areatestName ); MITK_TEST_CONDITION(std::abs(100 - testResults.percentageRadiusToPixel) < 1, diametertestName ); #ifdef EXTRACTOR_DEBUG MITK_INFO << TestName << " >>> " << "planeDistanceToSphereCenter: " << testResults.planeDistanceToSphereCenter; MITK_INFO << "area in pixels: " << testResults.areaInPixel << " <-> area in mm: " << testResults.areaCalculated << " = " << testResults.percentageAreaCalcToPixel << "%"; MITK_INFO << "calculated diameter: " << testResults.diameterCalculated << " <-> diameter in mm: " << testResults.diameterInMM << " <-> diameter in pixel: " << testResults.diameterInPixel << " = " << testResults.percentageRadiusToPixel << "%"; #endif } /* * get the radius of the slice of a sphere based on pixel distance from edge to edge of the circle. */ template static void TestSphereRadiusByItk (itk::Image* inputImage) { typedef itk::Image InputImageType; //set the index to the middle of the image's edge at x and y axis typename InputImageType::IndexType currentIndexX; currentIndexX[0] = (int)(TestvolumeSize / 2.0); currentIndexX[1] = 0; typename InputImageType::IndexType currentIndexY; currentIndexY[0] = 0; currentIndexY[1] = (int)(TestvolumeSize / 2.0); //remember the last pixel value double lastValueX = inputImage->GetPixel(currentIndexX); double lastValueY = inputImage->GetPixel(currentIndexY); //storage for the index marks std::vector indicesX; std::vector indicesY; /*Get four indices on the edge of the circle*/ while(currentIndexX[1] < TestvolumeSize && currentIndexX[0] < TestvolumeSize) { //move x direction currentIndexX[1] += 1; //move y direction currentIndexY[0] += 1; if(inputImage->GetPixel(currentIndexX) > lastValueX) { //mark the current index typename InputImageType::IndexType markIndex; markIndex[0] = currentIndexX[0]; markIndex[1] = currentIndexX[1]; indicesX.push_back(markIndex); } else if( inputImage->GetPixel(currentIndexX) < lastValueX) { //mark the current index typename InputImageType::IndexType markIndex; markIndex[0] = currentIndexX[0]; markIndex[1] = currentIndexX[1] - 1;//value inside the sphere indicesX.push_back(markIndex); } if(inputImage->GetPixel(currentIndexY) > lastValueY) { //mark the current index typename InputImageType::IndexType markIndex; markIndex[0] = currentIndexY[0]; markIndex[1] = currentIndexY[1]; indicesY.push_back(markIndex); } else if( inputImage->GetPixel(currentIndexY) < lastValueY) { //mark the current index typename InputImageType::IndexType markIndex; markIndex[0] = currentIndexY[0]; markIndex[1] = currentIndexY[1] - 1;//value inside the sphere indicesY.push_back(markIndex); } //found both marks? if(indicesX.size() == 2 && indicesY.size() == 2) break; //the new 'last' values lastValueX = inputImage->GetPixel(currentIndexX); lastValueY = inputImage->GetPixel(currentIndexY); } /* *If we are here we found the four marks on the edge of the circle. *For the case our plane is rotated and shifted, we have to calculate the center of the circle, *else the center is the intersection of both straight lines between the marks. *When we have the center, the diameter of the circle will be checked to the reference value(math!). */ //each distance from the first mark of each direction to the center of the straight line between the marks double distanceToCenterX = std::abs(indicesX[0][1] - indicesX[1][1]) / 2.0; double distanceToCenterY = std::abs(indicesY[0][0] - indicesY[1][0]) / 2.0; //the center of the straight lines typename InputImageType::IndexType centerX, centerY; centerX[0] = indicesX[0][0]; centerX[1] = indicesX[0][1] + distanceToCenterX; //TODO think about implicit cast to int. this is not the real center of the image, which could be between two pixels //centerY[0] = indicesY[0][0] + distanceToCenterY; //centerY[1] = inidcesY[0][1]; typename InputImageType::IndexType currentIndex(centerX); lastValueX = inputImage->GetPixel(currentIndex); long sumpixels = 0; std::vector diameterIndices; //move up while(currentIndex[1] < TestvolumeSize) { currentIndex[1] += 1; if( inputImage->GetPixel(currentIndex) != lastValueX) { typename InputImageType::IndexType markIndex; markIndex[0] = currentIndex[0]; markIndex[1] = currentIndex[1] - 1; diameterIndices.push_back(markIndex); break; } sumpixels++; lastValueX = inputImage->GetPixel(currentIndex); } currentIndex[1] -= sumpixels; //move back to center to go in the other direction lastValueX = inputImage->GetPixel(currentIndex); //move down while(currentIndex[1] >= 0) { currentIndex[1] -= 1; if( inputImage->GetPixel(currentIndex) != lastValueX) { typename InputImageType::IndexType markIndex; markIndex[0] = currentIndex[0]; markIndex[1] = currentIndex[1];//outside sphere because we want to calculate the distance from edge to edge diameterIndices.push_back(markIndex); break; } sumpixels++; lastValueX = inputImage->GetPixel(currentIndex); } /* *Now sumpixels should be the apromximate diameter of the circle. This is checked with the calculated diameter from the plane transformation(math). */ mitk::Point3D volumeCenter; volumeCenter[0] = volumeCenter[1] = volumeCenter[2] = TestvolumeSize / 2.0; double planeDistanceToSphereCenter = TestPlane->Distance(volumeCenter); double sphereRadius = TestvolumeSize/4.0; //calculate the radius of the circle cut from the sphere by the plane double diameter = 2.0 * std::sqrt(std::pow(sphereRadius, 2) - std::pow( planeDistanceToSphereCenter , 2)); double percentageRadiusToPixel = 100 / diameter * sumpixels; /* *calculate the radius in mm by the both marks of the center line by using the world coordinates */ //get the points as 3D coordinates mitk::Vector3D diameterPointRight, diameterPointLeft; diameterPointRight[2] = diameterPointLeft[2] = 0.0; diameterPointLeft[0] = diameterIndices[0][0]; diameterPointLeft[1] = diameterIndices[0][1]; diameterPointRight[0] = diameterIndices[1][0]; diameterPointRight[1] = diameterIndices[1][1]; //transform to worldcoordinates TestVolume->GetGeometry()->IndexToWorld(diameterPointLeft, diameterPointLeft); TestVolume->GetGeometry()->IndexToWorld(diameterPointRight, diameterPointRight); //euklidian distance double diameterInMM = ( (diameterPointLeft * -1.0) + diameterPointRight).GetNorm(); testResults.diameterInMM = diameterInMM; testResults.diameterCalculated = diameter; testResults.diameterInPixel = sumpixels; testResults.percentageRadiusToPixel = percentageRadiusToPixel; testResults.planeDistanceToSphereCenter = planeDistanceToSphereCenter; } /*brute force the area pixel by pixel*/ template static void TestSphereAreaByItk (itk::Image* inputImage) { typedef itk::Image InputImageType; typedef itk::ImageRegionConstIterator< InputImageType > ImageIterator; ImageIterator imageIterator( inputImage, inputImage->GetLargestPossibleRegion() ); imageIterator.GoToBegin(); int sumPixelsInArea = 0; while( !imageIterator.IsAtEnd() ) { if(inputImage->GetPixel(imageIterator.GetIndex()) == pixelValueSet) sumPixelsInArea++; ++imageIterator; } mitk::Point3D volumeCenter; volumeCenter[0] = volumeCenter[1] = volumeCenter[2] = TestvolumeSize / 2.0; double planeDistanceToSphereCenter = TestPlane->Distance(volumeCenter); double sphereRadius = TestvolumeSize/4.0; //calculate the radius of the circle cut from the sphere by the plane double radius = std::sqrt(std::pow(sphereRadius, 2) - std::pow( planeDistanceToSphereCenter , 2)); double areaInMM = 3.14159265358979 * std::pow(radius, 2); testResults.areaCalculated = areaInMM; testResults.areaInPixel = sumPixelsInArea; testResults.percentageAreaCalcToPixel = 100 / areaInMM * sumPixelsInArea; } /* * random a voxel. define plane through this voxel. reslice at the plane. compare the pixel vaues of the voxel * in the volume with the pixel value in the resliced image. * there are some indice shifting problems which causes the test to fail for oblique planes. seems like the chosen * worldcoordinate is not corrresponding to the index in the 2D image. and so the pixel values are not the same as * expected. */ static void PixelvalueBasedTest() { /* setup itk image */ typedef itk::Image ImageType; typedef itk::ImageRegionConstIterator< ImageType > ImageIterator; ImageType::Pointer image = ImageType::New(); ImageType::IndexType start; start[0] = start[1] = start[2] = 0; ImageType::SizeType size; size[0] = size[1] = size[2] = 32; ImageType::RegionType imgRegion; imgRegion.SetSize(size); imgRegion.SetIndex(start); image->SetRegions(imgRegion); image->SetSpacing(1.0); image->Allocate(); ImageIterator imageIterator( image, image->GetLargestPossibleRegion() ); imageIterator.GoToBegin(); unsigned short pixelValue = 0; //fill the image with distinct values while ( !imageIterator.IsAtEnd() ) { image->SetPixel(imageIterator.GetIndex(), pixelValue); ++imageIterator; ++pixelValue; } /* end setup itk image */ mitk::Image::Pointer imageInMitk; CastToMitkImage(image, imageInMitk); /*mitk::ImageWriter::Pointer writer = mitk::ImageWriter::New(); writer->SetInput(imageInMitk); std::string file = "C:\\Users\\schroedt\\Desktop\\cube.nrrd"; writer->SetFileName(file); writer->Update();*/ PixelvalueBasedTestByPlane(imageInMitk, mitk::PlaneGeometry::Frontal); PixelvalueBasedTestByPlane(imageInMitk, mitk::PlaneGeometry::Sagittal); PixelvalueBasedTestByPlane(imageInMitk, mitk::PlaneGeometry::Transversal); } static void PixelvalueBasedTestByPlane(mitk::Image* imageInMitk, mitk::PlaneGeometry::PlaneOrientation orientation){ typedef itk::Image ImageType; //set the seed of the rand function srand((unsigned)time(0)); /* setup a random orthogonal plane */ int sliceindex = 17;//rand() % 32; bool isFrontside = true; bool isRotated = false; if( orientation == mitk::PlaneGeometry::Transversal) { /*isFrontside = false; isRotated = true;*/ } mitk::PlaneGeometry::Pointer plane = mitk::PlaneGeometry::New(); plane->InitializeStandardPlane(imageInMitk->GetGeometry(), orientation, sliceindex, isFrontside, isRotated); mitk::Point3D origin = plane->GetOrigin(); mitk::Vector3D normal; normal = plane->GetNormal(); normal.Normalize(); origin += normal * 0.5;//pixelspacing is 1, so half the spacing is 0.5 plane->SetOrigin(origin); //we dont need this any more, because we are only testing orthogonal planes /*mitk::Vector3D rotationVector; rotationVector[0] = randFloat(); rotationVector[1] = randFloat(); rotationVector[2] = randFloat(); float degree = randFloat() * 180.0; mitk::RotationOperation* op = new mitk::RotationOperation(mitk::OpROTATE, plane->GetCenter(), rotationVector, degree); plane->ExecuteOperation(op); delete op;*/ /* end setup plane */ /* define a point in the 3D volume. * add the two axis vectors of the plane (each multiplied with a * random number) to the origin. now the two random numbers * become our index coordinates in the 2D image, because the * length of the axis vectors is 1. */ mitk::Point3D planeOrigin = plane->GetOrigin(); mitk::Vector3D axis0, axis1; axis0 = plane->GetAxisVector(0); axis1 = plane->GetAxisVector(1); axis0.Normalize(); axis1.Normalize(); unsigned char n1 = 7;// rand() % 32; unsigned char n2 = 13;// rand() % 32; mitk::Point3D testPoint3DInWorld; testPoint3DInWorld = planeOrigin + (axis0 * n1) + (axis1 * n2); //get the index of the point in the 3D volume ImageType::IndexType testPoint3DInIndex; imageInMitk->GetGeometry()->WorldToIndex(testPoint3DInWorld, testPoint3DInIndex); mitk::Index3D testPoint2DInIndex; /* end define a point in the 3D volume.*/ //do reslicing at the plane mitk::ExtractSliceFilter::Pointer slicer = mitk::ExtractSliceFilter::New(); slicer->SetInput(imageInMitk); slicer->SetWorldGeometry(plane); slicer->Update(); mitk::Image::Pointer slice = slicer->GetOutput(); // Get TestPoiont3D as Index in Slice slice->GetGeometry()->WorldToIndex(testPoint3DInWorld,testPoint2DInIndex); mitk::Point3D p, sliceIndexToWorld, imageIndexToWorld; p[0] = testPoint2DInIndex[0]; p[1] = testPoint2DInIndex[1]; p[2] = testPoint2DInIndex[2]; slice->GetGeometry()->IndexToWorld(p, sliceIndexToWorld); p[0] = testPoint3DInIndex[0]; p[1] = testPoint3DInIndex[1]; p[2] = testPoint3DInIndex[2]; imageInMitk->GetGeometry()->IndexToWorld(p, imageIndexToWorld); //compare the pixelvalues of the defined point in the 3D volume with the value of the resliced image unsigned short valueAt3DVolume = imageInMitk->GetPixelValueByIndex(testPoint3DInIndex);//image->GetPixel(testPoint3DInIndex); unsigned short valueAt3DVolumeByWorld = imageInMitk->GetPixelValueByWorldCoordinate(testPoint3DInWorld); unsigned short valueAtSlice = slice->GetPixelValueByIndex(testPoint2DInIndex); //valueAt3DVolume == valueAtSlice is not always working. because of rounding errors //indices are shifted MITK_TEST_CONDITION(valueAt3DVolume == valueAtSlice, "comparing pixelvalues for orthogonal plane"); vtkSmartPointer imageInVtk = vtkSmartPointer::New(); imageInVtk = imageInMitk->GetVtkImageData(); vtkSmartPointer sliceInVtk = vtkSmartPointer::New(); sliceInVtk = slice->GetVtkImageData(); double PixelvalueByMitkOutput = sliceInVtk->GetScalarComponentAsDouble(n1, n2, 0, 0); double valueVTKinImage = imageInVtk->GetScalarComponentAsDouble(testPoint3DInIndex[0], testPoint3DInIndex[1], testPoint3DInIndex[2], 0); /* Test that everything is working equally if vtkoutput is used instead of the default output * from mitk ImageToImageFilter */ mitk::ExtractSliceFilter::Pointer slicerWithVtkOutput = mitk::ExtractSliceFilter::New(); slicerWithVtkOutput->SetInput(imageInMitk); slicerWithVtkOutput->SetWorldGeometry(plane); slicerWithVtkOutput->SetVtkOutputRequest(true); slicerWithVtkOutput->Update(); vtkSmartPointer vtkImageByVtkOutput = vtkSmartPointer::New(); vtkImageByVtkOutput = slicerWithVtkOutput->GetVtkOutput(); double PixelvalueByVtkOutput = vtkImageByVtkOutput->GetScalarComponentAsDouble(n1, n2, 0, 0); MITK_TEST_CONDITION(PixelvalueByMitkOutput == PixelvalueByVtkOutput, "testing convertion of image output vtk->mitk by reslicer"); /*================ mbilog outputs ===========================*/ #ifdef EXTRACTOR_DEBUG MITK_INFO << "\n" << "TESTINFO index: " << sliceindex << " orientation: " << orientation << " frontside: " << isFrontside << " rotated: " << isRotated; MITK_INFO << "\n" << "slice index to world: " << sliceIndexToWorld; MITK_INFO << "\n" << "image index to world: " << imageIndexToWorld; MITK_INFO << "\n" << "vtk: slice: " << PixelvalueByMitkOutput << ", image: "<< valueVTKinImage; MITK_INFO << "\n" << "testPoint3D InWorld" << testPoint3DInWorld << " is " << testPoint2DInIndex << " in 2D"; MITK_INFO << "\n" << "randoms: " << ((int)n1) << ", " << ((int)n2); MITK_INFO << "\n" << "point is inside plane: " << plane->IsInside(testPoint3DInWorld) << " and volume: " << imageInMitk->GetGeometry()->IsInside(testPoint3DInWorld); MITK_INFO << "\n" << "volume idx: " << testPoint3DInIndex << " = " << valueAt3DVolume ; MITK_INFO << "\n" << "volume world: " << testPoint3DInWorld << " = " << valueAt3DVolumeByWorld ; MITK_INFO << "\n" << "slice idx: " << testPoint2DInIndex << " = " << valueAtSlice ; mitk::Index3D curr; curr[0] = curr[1] = curr[2] = 0; for( int i = 0; i < 32 ; ++i){ for( int j = 0; j < 32; ++j){ ++curr[1]; if(slice->GetPixelValueByIndex(curr) == valueAt3DVolume){ MITK_INFO << "\n" << valueAt3DVolume << " MATCHED mitk " << curr; } } curr[1] = 0; ++curr[0]; } typedef itk::Image Image2DType; Image2DType::Pointer img = Image2DType::New(); CastToItkImage(slice, img); typedef itk::ImageRegionConstIterator< Image2DType > Iterator2D; Iterator2D iter(img, img->GetLargestPossibleRegion()); iter.GoToBegin(); while( !iter.IsAtEnd() ){ if(img->GetPixel(iter.GetIndex()) == valueAt3DVolume) MITK_INFO << "\n" << valueAt3DVolume << " MATCHED itk " << iter.GetIndex(); ++iter; } #endif //EXTRACTOR_DEBUG } /* random a float value */ static float randFloat(){ return (((float)rand()+1.0) / ((float)RAND_MAX + 1.0)) + (((float)rand()+1.0) / ((float)RAND_MAX + 1.0)) / ((float)RAND_MAX + 1.0);} /* create a sphere with the size of the given testVolumeSize*/ static void InitializeTestVolume() { #ifdef CREATE_VOLUME //do sphere creation ItkVolumeGeneration(); #ifdef SAVE_VOLUME //save in file mitk::ImageWriter::Pointer writer = mitk::ImageWriter::New(); writer->SetInput(TestVolume); std::string file; std::ostringstream filename; filename << "C:\\home\\schroedt\\MITK\\Modules\\ImageExtraction\\Testing\\Data\\sphere_"; filename << TestvolumeSize; filename << ".nrrd"; file = filename.str(); writer->SetFileName(file); writer->Update(); #endif//SAVE_VOLUME #endif #ifndef CREATE_VOLUME //read from file mitk::StandardFileLocations::Pointer locator = mitk::StandardFileLocations::GetInstance(); std::string filename = locator->FindFile("sphere_512.nrrd.mhd", "Modules/ImageExtraction/Testing/Data"); mitk::ItkImageFileReader::Pointer reader = mitk::ItkImageFileReader::New(); reader->SetFileName(filename); reader->Update(); TestVolume = reader->GetOutput(); #endif #ifdef CALC_TESTFAILURE_DEVIATION //get the TestFailureDeviation in % AccessFixedDimensionByItk(TestVolume, CalcTestFailureDeviation, 3); #endif } //the test result of the sphere reslice struct SliceProperties{ double planeDistanceToSphereCenter; double diameterInMM; double diameterInPixel; double diameterCalculated; double percentageRadiusToPixel; double areaCalculated; double areaInPixel; double percentageAreaCalcToPixel; }; static mitk::Image::Pointer TestVolume; static double TestvolumeSize; static mitk::PlaneGeometry::Pointer TestPlane; static std::string TestName; static unsigned char pixelValueSet; static SliceProperties testResults; static double TestFailureDeviation; private: /* * Generate a sphere with a radius of TestvolumeSize / 4.0 */ static void ItkVolumeGeneration () { typedef itk::Image TestVolumeType; typedef itk::ImageRegionConstIterator< TestVolumeType > ImageIterator; TestVolumeType::Pointer sphereImage = TestVolumeType::New(); TestVolumeType::IndexType start; start[0] = start[1] = start[2] = 0; TestVolumeType::SizeType size; size[0] = size[1] = size[2] = TestvolumeSize; TestVolumeType::RegionType imgRegion; imgRegion.SetSize(size); imgRegion.SetIndex(start); sphereImage->SetRegions(imgRegion); sphereImage->SetSpacing(1.0); sphereImage->Allocate(); sphereImage->FillBuffer(0); mitk::Vector3D center; center[0] = center[1] = center[2] = TestvolumeSize / 2.0; double radius = TestvolumeSize / 4.0; double pixelValue = pixelValueSet; double distanceToCenter = 0.0; ImageIterator imageIterator( sphereImage, sphereImage->GetLargestPossibleRegion() ); imageIterator.GoToBegin(); mitk::Vector3D currentVoxelInIndex; while ( !imageIterator.IsAtEnd() ) { currentVoxelInIndex[0] = imageIterator.GetIndex()[0]; currentVoxelInIndex[1] = imageIterator.GetIndex()[1]; currentVoxelInIndex[2] = imageIterator.GetIndex()[2]; distanceToCenter = (center + ( currentVoxelInIndex * -1.0 )).GetNorm(); //if distance to center is smaller then the radius of the sphere if( distanceToCenter < radius) { sphereImage->SetPixel(imageIterator.GetIndex(), pixelValue); } ++imageIterator; } CastToMitkImage(sphereImage, TestVolume); } /* calculate the devation of the voxel object to the mathematical sphere object. * this is use to make a statement about the accuracy of the resliced image, eg. the circle's diameter or area. */ template static void CalcTestFailureDeviation (itk::Image* inputImage) { typedef itk::Image InputImageType; typedef itk::ImageRegionConstIterator< InputImageType > ImageIterator; ImageIterator iterator(inputImage, inputImage->GetLargestPossibleRegion()); iterator.GoToBegin(); int volumeInPixel = 0; while( !iterator.IsAtEnd() ) { if(inputImage->GetPixel(iterator.GetIndex()) == pixelValueSet) volumeInPixel++; ++iterator; } double diameter = TestvolumeSize / 2.0; double volumeCalculated = (1.0 / 6.0) * 3.14159265358979 * std::pow(diameter, 3); double volumeDeviation = std::abs( 100 - (100 / volumeCalculated * volumeInPixel) ); typename InputImageType::IndexType index; index[0] = index[1] = TestvolumeSize / 2.0; index[2] = 0; int sumpixels = 0; while (index[2] < TestvolumeSize ) { if(inputImage->GetPixel(index) == pixelValueSet) sumpixels++; index[2] += 1; } double diameterDeviation = std::abs( 100 - (100 / diameter * sumpixels) ); #ifdef DEBUG MITK_INFO << "volume deviation: " << volumeDeviation << " diameter deviation:" << diameterDeviation; #endif mitkExtractSliceFilterTestClass::TestFailureDeviation = (volumeDeviation + diameterDeviation) / 2.0; } }; /*================ #END class ================*/ /*================#BEGIN Instanciation of members ================*/ mitk::Image::Pointer mitkExtractSliceFilterTestClass::TestVolume = mitk::Image::New(); double mitkExtractSliceFilterTestClass::TestvolumeSize = 256.0; mitk::PlaneGeometry::Pointer mitkExtractSliceFilterTestClass::TestPlane = mitk::PlaneGeometry::New(); std::string mitkExtractSliceFilterTestClass::TestName = ""; unsigned char mitkExtractSliceFilterTestClass::pixelValueSet = 255; mitkExtractSliceFilterTestClass::SliceProperties mitkExtractSliceFilterTestClass::testResults = {-1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0}; double mitkExtractSliceFilterTestClass::TestFailureDeviation = 0.0; /*================ #END Instanciation of members ================*/ /*================ #BEGIN test main ================*/ int mitkExtractSliceFilterTest(int argc, char* argv[]) { MITK_TEST_BEGIN("mitkExtractSliceFilterTest") //pixelvalue based testing mitkExtractSliceFilterTestClass::PixelvalueBasedTest(); //initialize sphere test volume mitkExtractSliceFilterTestClass::InitializeTestVolume(); mitk::Vector3D spacing = mitkExtractSliceFilterTestClass::TestVolume->GetGeometry()->GetSpacing(); //the center of the sphere = center of image double sphereCenter = mitkExtractSliceFilterTestClass::TestvolumeSize / 2.0; double planeSize = mitkExtractSliceFilterTestClass::TestvolumeSize; /* transversal plane */ mitk::PlaneGeometry::Pointer geometryTransversal = mitk::PlaneGeometry::New(); geometryTransversal->InitializeStandardPlane(planeSize, planeSize, spacing, mitk::PlaneGeometry::Transversal, sphereCenter, false, true); geometryTransversal->ChangeImageGeometryConsideringOriginOffset(true); mitk::Point3D origin = geometryTransversal->GetOrigin(); mitk::Vector3D normal; normal = geometryTransversal->GetNormal(); normal.Normalize(); origin += normal * 0.5;//pixelspacing is 1, so half the spacing is 0.5 //geometryTransversal->SetOrigin(origin); mitkExtractSliceFilterTestClass::TestSlice(geometryTransversal, "Testing transversal plane"); /* end transversal plane */ /* sagittal plane */ mitk::PlaneGeometry::Pointer geometrySagital = mitk::PlaneGeometry::New(); geometrySagital->InitializeStandardPlane(planeSize, planeSize, spacing, mitk::PlaneGeometry::Sagittal, sphereCenter, true, false); geometrySagital->ChangeImageGeometryConsideringOriginOffset(true); origin = geometrySagital->GetOrigin(); normal = geometrySagital->GetNormal(); normal.Normalize(); origin += normal * 0.5;//pixelspacing is 1, so half the spacing is 0.5 //geometrySagital->SetOrigin(origin); mitkExtractSliceFilterTestClass::TestSlice(geometrySagital, "Testing sagittal plane"); /* sagittal plane */ /* sagittal shifted plane */ mitk::PlaneGeometry::Pointer geometrySagitalShifted = mitk::PlaneGeometry::New(); geometrySagitalShifted->InitializeStandardPlane(planeSize, planeSize, spacing, mitk::PlaneGeometry::Sagittal, (sphereCenter - 14), true, false); geometrySagitalShifted->ChangeImageGeometryConsideringOriginOffset(true); origin = geometrySagitalShifted->GetOrigin(); normal = geometrySagitalShifted->GetNormal(); normal.Normalize(); origin += normal * 0.5;//pixelspacing is 1, so half the spacing is 0.5 //geometrySagitalShifted->SetOrigin(origin); mitkExtractSliceFilterTestClass::TestSlice(geometrySagitalShifted, "Testing sagittal plane shifted"); /* end sagittal shifted plane */ /* coronal plane */ mitk::PlaneGeometry::Pointer geometryCoronal = mitk::PlaneGeometry::New(); geometryCoronal->InitializeStandardPlane(planeSize, planeSize, spacing, mitk::PlaneGeometry::Frontal, sphereCenter, true, false); geometryCoronal->ChangeImageGeometryConsideringOriginOffset(true); origin = geometryCoronal->GetOrigin(); normal = geometryCoronal->GetNormal(); normal.Normalize(); origin += normal * 0.5;//pixelspacing is 1, so half the spacing is 0.5 //geometryCoronal->SetOrigin(origin); mitkExtractSliceFilterTestClass::TestSlice(geometryCoronal, "Testing coronal plane"); /* end coronal plane */ /* oblique plane */ mitk::PlaneGeometry::Pointer obliquePlane = mitk::PlaneGeometry::New(); obliquePlane->InitializeStandardPlane(planeSize, planeSize, spacing, mitk::PlaneGeometry::Sagittal, sphereCenter, true, false); obliquePlane->ChangeImageGeometryConsideringOriginOffset(true); origin = obliquePlane->GetOrigin(); normal = obliquePlane->GetNormal(); normal.Normalize(); origin += normal * 0.5;//pixelspacing is 1, so half the spacing is 0.5 //obliquePlane->SetOrigin(origin); mitk::Vector3D rotationVector; rotationVector[0] = 0.2; rotationVector[1] = 0.4; rotationVector[2] = 0.62; float degree = 37.0; mitk::RotationOperation* op = new mitk::RotationOperation(mitk::OpROTATE, obliquePlane->GetCenter(), rotationVector, degree); obliquePlane->ExecuteOperation(op); delete op; mitkExtractSliceFilterTestClass::TestSlice(obliquePlane, "Testing oblique plane"); /* end oblique plane */ #ifdef SHOW_SLICE_IN_RENDER_WINDOW /*================ #BEGIN vtk render code ================*/ //set reslicer for renderwindow mitk::ItkImageFileReader::Pointer reader = mitk::ItkImageFileReader::New(); std::string filename = "C:\\home\\Pics\\Pic3D.nrrd"; reader->SetFileName(filename); reader->Update(); mitk::Image::Pointer pic = reader->GetOutput(); vtkSmartPointer slicer = vtkSmartPointer::New(); slicer->SetInput(pic->GetVtkImageData()); mitk::PlaneGeometry::Pointer obliquePl = mitk::PlaneGeometry::New(); obliquePl->InitializeStandardPlane(pic->GetGeometry(), mitk::PlaneGeometry::Sagittal, pic->GetGeometry()->GetCenter()[0], true, false); obliquePl->ChangeImageGeometryConsideringOriginOffset(true); mitk::Point3D origin2 = obliquePl->GetOrigin(); mitk::Vector3D n; n = obliquePl->GetNormal(); n.Normalize(); origin2 += n * 0.5;//pixelspacing is 1, so half the spacing is 0.5 obliquePl->SetOrigin(origin2); mitk::Vector3D rotation; rotation[0] = 0.534307; rotation[1] = 0.000439605; rotation[2] = 0.423017; MITK_INFO << rotation; float rotateDegree = 70; mitk::RotationOperation* operation = new mitk::RotationOperation(mitk::OpROTATE, obliquePl->GetCenter(), rotationVector, degree); obliquePl->ExecuteOperation(operation); delete operation; double origin[3]; origin[0] = obliquePl->GetOrigin()[0]; origin[1] = obliquePl->GetOrigin()[1]; origin[2] = obliquePl->GetOrigin()[2]; slicer->SetResliceAxesOrigin(origin); mitk::Vector3D right, bottom, normal; right = obliquePl->GetAxisVector( 0 ); bottom = obliquePl->GetAxisVector( 1 ); normal = obliquePl->GetNormal(); right.Normalize(); bottom.Normalize(); normal.Normalize(); double cosines[9]; mitk::vnl2vtk(right.GetVnlVector(), cosines);//x mitk::vnl2vtk(bottom.GetVnlVector(), cosines + 3);//y mitk::vnl2vtk(normal.GetVnlVector(), cosines + 6);//n slicer->SetResliceAxesDirectionCosines(cosines); slicer->SetOutputDimensionality(2); slicer->Update(); //set vtk renderwindow vtkSmartPointer vtkPlane = vtkSmartPointer::New(); vtkPlane->SetOrigin(0.0, 0.0, 0.0); //These two points define the axes of the plane in combination with the origin. //Point 1 is the x-axis and point 2 the y-axis. //Each plane is transformed according to the view (transversal, coronal and saggital) afterwards. vtkPlane->SetPoint1(1.0, 0.0, 0.0); //P1: (xMax, yMin, depth) vtkPlane->SetPoint2(0.0, 1.0, 0.0); //P2: (xMin, yMax, depth) //these are not the correct values for all slices, only a square plane by now vtkSmartPointer imageMapper = vtkSmartPointer::New(); imageMapper->SetInputConnection(vtkPlane->GetOutputPort()); vtkSmartPointer lookupTable = vtkSmartPointer::New(); //built a default lookuptable lookupTable->SetRampToLinear(); lookupTable->SetSaturationRange( 0.0, 0.0 ); lookupTable->SetHueRange( 0.0, 0.0 ); lookupTable->SetValueRange( 0.0, 1.0 ); lookupTable->Build(); //map all black values to transparent lookupTable->SetTableValue(0, 0.0, 0.0, 0.0, 0.0); lookupTable->SetRange(-255.0, 255.0); //lookupTable->SetRange(-1022.0, 1184.0);//pic3D range vtkSmartPointer texture = vtkSmartPointer::New(); texture->SetInput(slicer->GetOutput()); texture->SetLookupTable(lookupTable); texture->SetMapColorScalarsThroughLookupTable(true); vtkSmartPointer imageActor = vtkSmartPointer::New(); imageActor->SetMapper(imageMapper); imageActor->SetTexture(texture); // Setup renderers vtkSmartPointer renderer = vtkSmartPointer::New(); renderer->AddActor(imageActor); // Setup render window vtkSmartPointer renderWindow = vtkSmartPointer::New(); renderWindow->AddRenderer(renderer); // Setup render window interactor vtkSmartPointer renderWindowInteractor = vtkSmartPointer::New(); vtkSmartPointer style = vtkSmartPointer::New(); renderWindowInteractor->SetInteractorStyle(style); // Render and start interaction renderWindowInteractor->SetRenderWindow(renderWindow); //renderer->AddViewProp(imageActor); renderWindow->Render(); renderWindowInteractor->Start(); // always end with this! /*================ #END vtk render code ================*/ #endif //SHOW_SLICE_IN_RENDER_WINDOW MITK_TEST_END() } diff --git a/Modules/ImageExtraction/Testing/mitkExtractDirectedPlaneImageFilterTest.cpp b/Modules/ImageExtraction/Testing/mitkExtractDirectedPlaneImageFilterTest.cpp index 93846b8217..e057729def 100644 --- a/Modules/ImageExtraction/Testing/mitkExtractDirectedPlaneImageFilterTest.cpp +++ b/Modules/ImageExtraction/Testing/mitkExtractDirectedPlaneImageFilterTest.cpp @@ -1,297 +1,296 @@ -/*========================================================================= +/*=================================================================== -Program: Medical Imaging & Interaction Toolkit -Language: C++ -Date: $Date$ -Version: $Revision: 7837 $ +The Medical Imaging Interaction Toolkit (MITK) -Copyright (c) German Cancer Research Center, Division of Medical and -Biological Informatics. All rights reserved. -See MITKCopyright.txt or http://www.mitk.org/copyright.html for details. +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 the above copyright notices for more information. +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 "mitkExtractDirectedPlaneImageFilter.h" //#include "mitkStandardFileLocations.h" // //#include //#include //#include //#include //#include // //#include "mitkTestingMacros.h" // //#include // // //class ExtractionTesting{ // //public: // // struct Testcase // { // int number; // std::string name; // std::string imageFilename; // std::string referenceImageFilename; // bool success; // mitk::Geometry2D::Pointer (*GetPlane) (void); // }; // // static void DoTesting(Testcase &testcase) // { // mitk::Image::Pointer image = GetImageToTest(testcase.imageFilename); // if ( image.IsNull){ // testcase.success = false; // return; // } // // /*mitk::Image::Pointer referenceImage = GetImageToTest(testcase.referenceImageFilename); // if ( referenceImage.IsNull){ // testcase.success = false; // return; // } // // mitk::Geometry2D::Pointer directedGeometry2D = testcase.GetPlane(); // if(directedGeometry2D.IsNull){ // testcase.success = false;*/ // } // // //put testing here // //TODO vtkIMageREslice setup // //vtkSmartPointer colorImage = image->GetVtkImageData(); // // vtkSmartPointer imageMapper = vtkSmartPointer::New(); // imageMapper->SetInput(colorImage); // // // vtkSmartPointer imageActor = vtkSmartPointer::New(); // imageActor->SetMapper(imageMapper); // //imageActor->SetPosition(20, 20); // // // Setup renderers // vtkSmartPointer renderer = vtkSmartPointer::New(); // // // Setup render window // vtkSmartPointer renderWindow = vtkSmartPointer::New(); // renderWindow->AddRenderer(renderer); // // // Setup render window interactor // vtkSmartPointer renderWindowInteractor = vtkSmartPointer::New(); // vtkSmartPointer style = vtkSmartPointer::New(); // renderWindowInteractor->SetInteractorStyle(style); // // // Render and start interaction // renderWindowInteractor->SetRenderWindow(renderWindow); // //renderer->AddViewProp(imageActor); // renderer->AddActor(imageActor); // // renderWindow->Render(); // renderWindowInteractor->Start(); // } // // // static std::vector InitializeTestCases() // { // int testcounter = 0; // std::vector tests= // // //#BEGIN setup TestCases // // { // { // ++testcounter, // "TestCoronal", // "image.nrrd", // "coronalReference.nrrd", // false, // &TestCoronal // }, // { // ++testcounter, // "TestSagital", // "image.nrrd", // "sagitalReference.nrrd", // false, // &TestSagital // }, // { // ++testcounter, // "TestCoronal", // "image.nrrd", // "coronalReference.nrrd", // false, // &TestCoronal // }, // { // ++testcounter, // "Test_u_Rotation", // "image.nrrd", // "uRotationReference.nrrd", // false, // &Test_u_Rotation // }, // { // ++testcounter, // "Test_v_Rotation", // "image.nrrd", // "vRotationReference.nrrd", // false, // &Test_v_Rotation // }, // { // ++testcounter, // "TestTwoDirectionalRation", // "image.nrrd", // "twoDirectionalRationReference.nrrd", // false, // &TestTwoDirectionalRotation // }, // { // ++testcounter, // "Test4D", // "image.nrrd", // "twoDirectionalRationReference.nrrd", // false, // &Test4D // }, // { // ++testcounter, // "Test2D", // "coronalReference.nrrd", // "coronalReference.nrrd", // false, // &Test2D // }, // { // ++testcounter, // "Test2D", // NULL, // NULL, // false, // &Test1D // } // // }; // // //#END setup TestCases // // return tests; // } // //protected: // // static mitk::Image::Pointer GetImageToTest(std::string filename){ // //retrieve referenceImage // //// mitk::StandardFileLocations::Pointer locator = mitk::StandardFileLocations::GetInstance(); //// //// const std::string filepath = locator->FindFile(filename, "Modules/MitkExt/Testing/Data"); //// //// if (filepath.empty()) //// { //// return NULL; //// } //// //////TODO read imge from file //// itk::FilenamesContainer file; //// file.push_back( filename ); // mitk::ItkImageFileReader::Pointer reader = mitk::ItkImageFileReader::New(); // reader->SetFileName("C:\home\Pics\Pic3D.nrrd"); // // reader->Update(); // // mitk::Image::Pointer image = reader->GetOutput(); // // return image; // } // // // static mitk::Geometry2D::Pointer TestSagital() // { // // return NULL; // } // // static mitk::Geometry2D::Pointer TestCoronal() // { //return NULL; // } // // static mitk::Geometry2D::Pointer TestTransversal() // { //return NULL; // } // // static mitk::Geometry2D::Pointer Test_u_Rotation() // { //return NULL; // } // // static mitk::Geometry2D::Pointer Test_v_Rotation() // { //return NULL; // } // // static mitk::Geometry2D::Pointer TestTwoDirectionalRotation() // { //return NULL; // } // // static mitk::Geometry2D::Pointer Test4DImage() // {return NULL; // // } // // static mitk::Geometry2D::Pointer Test2DImage() // { //return NULL; // } // // static mitk::Geometry2D::Pointer Test1DImage() // { //return NULL; // } // //}; // // //** // * Tests for the class "mitkExtractDirectedPlaneImageFilter". // * // * argc and argv are the command line parameters which were passed to // * the ADD_TEST command in the CMakeLists.txt file. For the automatic // * tests, argv is either empty for the simple tests or contains the filename // * of a test image for the image tests (see CMakeLists.txt). // */ //int mitkExtractDirectedPlaneImageFilterTest(int /* argc */, char* /*argv*/[]) //{ // // always start with this! // MITK_TEST_BEGIN("mitkExtractDirectedPlaneImageFilter") // // // mitk::ExtractDirectedPlaneImageFilter::Pointer extractor = mitk::ExtractDirectedPlaneImageFilter::New(); // MITK_TEST_CONDITION_REQUIRED(extractor.IsNotNull(),"Testing instantiation") // // // std::vector allTests = ExtractionTesting::InitializeTestCases(); // // for( int i = 0; i < allTests.size(); i++);{ // // ExtractionTesting::Testcase testCase = allTest[i]; // // ExtractionTesting::DoTesting(testCase); // // MITK_TEST_CONDITION(testCase.success, "Testcase #'" << testCase.number << " " << testCase.name); // } // // // always end with this! // MITK_TEST_END() //} \ No newline at end of file