diff --git a/Modules/DiffusionImaging/FiberTracking/Algorithms/MLTracking/itkMLBSTrackingFilter.cpp b/Modules/DiffusionImaging/FiberTracking/Algorithms/MLTracking/itkMLBSTrackingFilter.cpp index d8eb05879a..da4a53b7ed 100644 --- a/Modules/DiffusionImaging/FiberTracking/Algorithms/MLTracking/itkMLBSTrackingFilter.cpp +++ b/Modules/DiffusionImaging/FiberTracking/Algorithms/MLTracking/itkMLBSTrackingFilter.cpp @@ -1,791 +1,793 @@ /*=================================================================== 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. ===================================================================*/ #ifndef __itkMLBSTrackingFilter_txx #define __itkMLBSTrackingFilter_txx #include #include #include #include "itkMLBSTrackingFilter.h" #include #include #include #include //#include #define _USE_MATH_DEFINES #include namespace itk { template< int NumImageFeatures > MLBSTrackingFilter< NumImageFeatures > ::MLBSTrackingFilter() : m_FiberPolyData(NULL) , m_Points(NULL) , m_Cells(NULL) , m_AngularThreshold(0.7) , m_StepSize(0) , m_MaxLength(10000) , m_MinTractLength(20.0) , m_MaxTractLength(400.0) , m_SeedsPerVoxel(1) , m_UseDirection(true) , m_NumberOfSamples(50) , m_SamplingDistance(-1) , m_SeedImage(NULL) , m_MaskImage(NULL) , m_DecisionForest(NULL) , m_StoppingRegions(NULL) , m_DemoMode(false) , m_PauseTracking(false) , m_AbortTracking(false) , m_RemoveWmEndFibers(false) , m_AposterioriCurvCheck(false) , m_AvoidStop(true) { this->SetNumberOfRequiredInputs(1); } template< int NumImageFeatures > double MLBSTrackingFilter< NumImageFeatures > ::RoundToNearest(double num) { return (num > 0.0) ? floor(num + 0.5) : ceil(num - 0.5); } template< int NumImageFeatures > void MLBSTrackingFilter< NumImageFeatures >::BeforeThreadedGenerateData() { m_InputImage = const_cast(this->GetInput(0)); PreprocessRawData(); m_FiberPolyData = PolyDataType::New(); m_Points = vtkSmartPointer< vtkPoints >::New(); m_Cells = vtkSmartPointer< vtkCellArray >::New(); m_ImageSize.resize(3); m_ImageSize[0] = m_FeatureImage->GetLargestPossibleRegion().GetSize()[0]; m_ImageSize[1] = m_FeatureImage->GetLargestPossibleRegion().GetSize()[1]; m_ImageSize[2] = m_FeatureImage->GetLargestPossibleRegion().GetSize()[2]; m_ImageSpacing.resize(3); m_ImageSpacing[0] = m_FeatureImage->GetSpacing()[0]; m_ImageSpacing[1] = m_FeatureImage->GetSpacing()[1]; m_ImageSpacing[2] = m_FeatureImage->GetSpacing()[2]; double minSpacing; if(m_ImageSpacing[0]GetNumberOfThreads(); i++) { PolyDataType poly = PolyDataType::New(); m_PolyDataContainer.push_back(poly); } m_NotWmImage = ItkDoubleImgType::New(); m_NotWmImage->SetSpacing( m_FeatureImage->GetSpacing() ); m_NotWmImage->SetOrigin( m_FeatureImage->GetOrigin() ); m_NotWmImage->SetDirection( m_FeatureImage->GetDirection() ); m_NotWmImage->SetRegions( m_FeatureImage->GetLargestPossibleRegion() ); m_NotWmImage->Allocate(); m_NotWmImage->FillBuffer(0); m_WmImage = ItkDoubleImgType::New(); m_WmImage->SetSpacing( m_FeatureImage->GetSpacing() ); m_WmImage->SetOrigin( m_FeatureImage->GetOrigin() ); m_WmImage->SetDirection( m_FeatureImage->GetDirection() ); m_WmImage->SetRegions( m_FeatureImage->GetLargestPossibleRegion() ); m_WmImage->Allocate(); m_WmImage->FillBuffer(0); m_AvoidStopImage = ItkDoubleImgType::New(); m_AvoidStopImage->SetSpacing( m_FeatureImage->GetSpacing() ); m_AvoidStopImage->SetOrigin( m_FeatureImage->GetOrigin() ); m_AvoidStopImage->SetDirection( m_FeatureImage->GetDirection() ); m_AvoidStopImage->SetRegions( m_FeatureImage->GetLargestPossibleRegion() ); m_AvoidStopImage->Allocate(); m_AvoidStopImage->FillBuffer(0); if (m_StoppingRegions.IsNull()) { m_StoppingRegions = ItkUcharImgType::New(); m_StoppingRegions->SetSpacing( m_FeatureImage->GetSpacing() ); m_StoppingRegions->SetOrigin( m_FeatureImage->GetOrigin() ); m_StoppingRegions->SetDirection( m_FeatureImage->GetDirection() ); m_StoppingRegions->SetRegions( m_FeatureImage->GetLargestPossibleRegion() ); m_StoppingRegions->Allocate(); m_StoppingRegions->FillBuffer(0); } if (m_SeedImage.IsNull()) { m_SeedImage = ItkUcharImgType::New(); m_SeedImage->SetSpacing( m_FeatureImage->GetSpacing() ); m_SeedImage->SetOrigin( m_FeatureImage->GetOrigin() ); m_SeedImage->SetDirection( m_FeatureImage->GetDirection() ); m_SeedImage->SetRegions( m_FeatureImage->GetLargestPossibleRegion() ); m_SeedImage->Allocate(); m_SeedImage->FillBuffer(1); } if (m_MaskImage.IsNull()) { // initialize mask image m_MaskImage = ItkUcharImgType::New(); m_MaskImage->SetSpacing( m_FeatureImage->GetSpacing() ); m_MaskImage->SetOrigin( m_FeatureImage->GetOrigin() ); m_MaskImage->SetDirection( m_FeatureImage->GetDirection() ); m_MaskImage->SetRegions( m_FeatureImage->GetLargestPossibleRegion() ); m_MaskImage->Allocate(); m_MaskImage->FillBuffer(1); } else std::cout << "MLBSTrackingFilter: using mask image" << std::endl; if (m_AngularThreshold<0.0) m_AngularThreshold = 0.5*minSpacing; m_BuildFibersReady = 0; m_BuildFibersFinished = false; m_Threads = 0; m_Tractogram.clear(); std::cout << "MLBSTrackingFilter: Angular threshold: " << m_AngularThreshold << std::endl; std::cout << "MLBSTrackingFilter: Stepsize: " << m_StepSize << " mm" << std::endl; std::cout << "MLBSTrackingFilter: Seeds per voxel: " << m_SeedsPerVoxel << std::endl; std::cout << "MLBSTrackingFilter: Max. sampling distance: " << m_SamplingDistance << " mm" << std::endl; std::cout << "MLBSTrackingFilter: Number of samples: " << m_NumberOfSamples << std::endl; std::cout << "MLBSTrackingFilter: Max. tract length: " << m_MaxTractLength << " mm" << std::endl; std::cout << "MLBSTrackingFilter: Min. tract length: " << m_MinTractLength << " mm" << std::endl; std::cout << "MLBSTrackingFilter: Starting streamline tracking using " << this->GetNumberOfThreads() << " threads." << std::endl; } template< int NumImageFeatures > void MLBSTrackingFilter< NumImageFeatures >::PreprocessRawData() { typedef itk::AnalyticalDiffusionQballReconstructionImageFilter InterpolationFilterType; std::cout << "MLBSTrackingFilter: Spherical signal interpolation and sampling ..." << std::endl; typename InterpolationFilterType::Pointer filter = InterpolationFilterType::New(); filter->SetGradientImage( m_GradientDirections, m_InputImage ); filter->SetBValue( m_B_Value ); filter->SetLambda(0.006); filter->SetNormalizationMethod(InterpolationFilterType::QBAR_RAW_SIGNAL); filter->Update(); // FeatureImageType::Pointer itkFeatureImage = qballfilter->GetCoefficientImage(); // featureImageVector.push_back(itkFeatureImage); std::cout << "MLBSTrackingFilter: Creating feature image ..." << std::endl; vnl_vector_fixed ref; ref.fill(0); ref[0]=1; itk::OrientationDistributionFunction< double, NumImageFeatures*2 > odf; m_DirectionIndices.clear(); for (unsigned int f=0; f0) // only used directions on one hemisphere m_DirectionIndices.push_back(f); } m_FeatureImage = FeatureImageType::New(); m_FeatureImage->SetSpacing(filter->GetOutput()->GetSpacing()); m_FeatureImage->SetOrigin(filter->GetOutput()->GetOrigin()); m_FeatureImage->SetDirection(filter->GetOutput()->GetDirection()); m_FeatureImage->SetLargestPossibleRegion(filter->GetOutput()->GetLargestPossibleRegion()); m_FeatureImage->SetBufferedRegion(filter->GetOutput()->GetLargestPossibleRegion()); m_FeatureImage->SetRequestedRegion(filter->GetOutput()->GetLargestPossibleRegion()); m_FeatureImage->Allocate(); itk::ImageRegionIterator< typename InterpolationFilterType::OutputImageType > it(filter->GetOutput(), filter->GetOutput()->GetLargestPossibleRegion()); while(!it.IsAtEnd()) { typename FeatureImageType::PixelType pix; for (unsigned int f=0; fSetPixel(it.GetIndex(), pix); ++it; } } template< int NumImageFeatures > void MLBSTrackingFilter< NumImageFeatures >::CalculateNewPosition(itk::Point& pos, vnl_vector_fixed& dir) { // vnl_matrix_fixed< double, 3, 3 > rot = m_FeatureImage->GetDirection().GetTranspose(); // dir = rot*dir; dir *= m_StepSize; pos[0] += dir[0]; pos[1] += dir[1]; pos[2] += dir[2]; } template< int NumImageFeatures > bool MLBSTrackingFilter< NumImageFeatures > ::IsValidPosition(itk::Point &pos) { typename FeatureImageType::IndexType idx; m_FeatureImage->TransformPhysicalPointToIndex(pos, idx); if (!m_FeatureImage->GetLargestPossibleRegion().IsInside(idx) || m_MaskImage->GetPixel(idx)==0) return false; return true; } template< int NumImageFeatures > typename MLBSTrackingFilter< NumImageFeatures >::FeatureImageType::PixelType MLBSTrackingFilter< NumImageFeatures >::GetImageValues(itk::Point itkP) { itk::Index<3> idx; itk::ContinuousIndex< double, 3> cIdx; m_FeatureImage->TransformPhysicalPointToIndex(itkP, idx); m_FeatureImage->TransformPhysicalPointToContinuousIndex(itkP, cIdx); typename FeatureImageType::PixelType pix; pix.Fill(0.0); if ( m_FeatureImage->GetLargestPossibleRegion().IsInside(idx) ) pix = m_FeatureImage->GetPixel(idx); else return pix; double frac_x = cIdx[0] - idx[0]; double frac_y = cIdx[1] - idx[1]; double frac_z = cIdx[2] - idx[2]; if (frac_x<0) { idx[0] -= 1; frac_x += 1; } if (frac_y<0) { idx[1] -= 1; frac_y += 1; } if (frac_z<0) { idx[2] -= 1; frac_z += 1; } frac_x = 1-frac_x; frac_y = 1-frac_y; frac_z = 1-frac_z; // int coordinates inside image? if (idx[0] >= 0 && idx[0] < m_FeatureImage->GetLargestPossibleRegion().GetSize(0)-1 && idx[1] >= 0 && idx[1] < m_FeatureImage->GetLargestPossibleRegion().GetSize(1)-1 && idx[2] >= 0 && idx[2] < m_FeatureImage->GetLargestPossibleRegion().GetSize(2)-1) { vnl_vector_fixed interpWeights; interpWeights[0] = ( frac_x)*( frac_y)*( frac_z); interpWeights[1] = (1-frac_x)*( frac_y)*( frac_z); interpWeights[2] = ( frac_x)*(1-frac_y)*( frac_z); interpWeights[3] = ( frac_x)*( frac_y)*(1-frac_z); interpWeights[4] = (1-frac_x)*(1-frac_y)*( frac_z); interpWeights[5] = ( frac_x)*(1-frac_y)*(1-frac_z); interpWeights[6] = (1-frac_x)*( frac_y)*(1-frac_z); interpWeights[7] = (1-frac_x)*(1-frac_y)*(1-frac_z); pix = m_FeatureImage->GetPixel(idx) * interpWeights[0]; typename FeatureImageType::IndexType tmpIdx = idx; tmpIdx[0]++; pix += m_FeatureImage->GetPixel(tmpIdx) * interpWeights[1]; tmpIdx = idx; tmpIdx[1]++; pix += m_FeatureImage->GetPixel(tmpIdx) * interpWeights[2]; tmpIdx = idx; tmpIdx[2]++; pix += m_FeatureImage->GetPixel(tmpIdx) * interpWeights[3]; tmpIdx = idx; tmpIdx[0]++; tmpIdx[1]++; pix += m_FeatureImage->GetPixel(tmpIdx) * interpWeights[4]; tmpIdx = idx; tmpIdx[1]++; tmpIdx[2]++; pix += m_FeatureImage->GetPixel(tmpIdx) * interpWeights[5]; tmpIdx = idx; tmpIdx[2]++; tmpIdx[0]++; pix += m_FeatureImage->GetPixel(tmpIdx) * interpWeights[6]; tmpIdx = idx; tmpIdx[0]++; tmpIdx[1]++; tmpIdx[2]++; pix += m_FeatureImage->GetPixel(tmpIdx) * interpWeights[7]; } + + return pix; } template< int NumImageFeatures > vnl_vector_fixed MLBSTrackingFilter< NumImageFeatures >::Classify(itk::Point& pos, int& candidates, vnl_vector_fixed& olddir, double angularThreshold, double& prob, bool avoidStop) { vnl_vector_fixed direction; direction.fill(0); vigra::MultiArray<2, double> featureData; if(m_UseDirection) featureData = vigra::MultiArray<2, double>( vigra::Shape2(1,NumImageFeatures+3) ); else featureData = vigra::MultiArray<2, double>( vigra::Shape2(1,NumImageFeatures) ); typename FeatureImageType::PixelType featurePixel = GetImageValues(pos); // pixel values for (unsigned int f=0; f ref; ref.fill(0); ref[0]=1; for (unsigned int f=NumImageFeatures; f probs(vigra::Shape2(1, m_DecisionForest->class_count())); m_DecisionForest->predictProbabilities(featureData, probs); double outProb = 0; prob = 0; candidates = 0; // directions with probability > 0 for (int i=0; iclass_count(); i++) { if (probs(0,i)>0) { int classLabel = 0; m_DecisionForest->ext_param_.to_classlabel(i, classLabel); if (classLabel d = m_ODF.GetDirection(m_DirectionIndices.at(classLabel)); double dot = dot_product(d, olddir); if (olddir.magnitude()>0) { if (fabs(dot)>angularThreshold) { if (dot<0) d *= -1; dot = fabs(dot); direction += probs(0,i)*dot*d; prob += probs(0,i)*dot; } } else { direction += probs(0,i)*d; prob += probs(0,i); } } else outProb += probs(0,i); } } ItkDoubleImgType::IndexType idx; m_NotWmImage->TransformPhysicalPointToIndex(pos, idx); if (m_NotWmImage->GetLargestPossibleRegion().IsInside(idx)) { m_NotWmImage->SetPixel(idx, m_NotWmImage->GetPixel(idx)+outProb); m_WmImage->SetPixel(idx, m_WmImage->GetPixel(idx)+prob); } if (outProb>prob && prob>0) { candidates = 0; prob = 0; direction.fill(0.0); } if (avoidStop && m_AvoidStopImage->GetLargestPossibleRegion().IsInside(idx) && candidates>0 && direction.magnitude()>0.001) m_AvoidStopImage->SetPixel(idx, m_AvoidStopImage->GetPixel(idx)+0.1); return direction; } template< int NumImageFeatures > double MLBSTrackingFilter< NumImageFeatures >::GetRandDouble(double min, double max) { return (double)(rand()%((int)(10000*(max-min))) + 10000*min)/10000; } template< int NumImageFeatures > vnl_vector_fixed MLBSTrackingFilter< NumImageFeatures >::GetNewDirection(itk::Point &pos, vnl_vector_fixed& olddir) { vnl_vector_fixed direction; direction.fill(0); ItkUcharImgType::IndexType idx; m_StoppingRegions->TransformPhysicalPointToIndex(pos, idx); if (m_StoppingRegions->GetPixel(idx)>0) return direction; if (olddir.magnitude()>0) olddir.normalize(); int candidates = 0; // number of directions with probability > 0 double prob = 0; direction = Classify(pos, candidates, olddir, m_AngularThreshold, prob); // sample neighborhood direction *= prob; itk::OrientationDistributionFunction< double, 50 > probeVecs; for (int i=0; i d; // probe[0] = GetRandDouble()*m_SamplingDistance; // probe[1] = GetRandDouble()*m_SamplingDistance; // probe[2] = GetRandDouble()*m_SamplingDistance; d = probeVecs.GetDirection(i)*m_SamplingDistance; itk::Point sample_pos; sample_pos[0] = pos[0] + d[0]; sample_pos[1] = pos[1] + d[1]; sample_pos[2] = pos[2] + d[2]; candidates = 0; vnl_vector_fixed tempDir = Classify(sample_pos, candidates, olddir, m_AngularThreshold, prob); // sample neighborhood if (candidates>0 && tempDir.magnitude()>0.001) { direction += tempDir*prob; } else if (m_AvoidStop && candidates==0 && olddir.magnitude()>0) // out of white matter { double dot = dot_product(d, olddir); if (dot >= 0.0) // in front of plane defined by pos and olddir d = -d + 2*dot*olddir; // reflect else d = -d; // invert // look a bit further into the other direction sample_pos[0] = pos[0] + d[0]*2; sample_pos[1] = pos[1] + d[1]*2; sample_pos[2] = pos[2] + d[2]*2; candidates = 0; vnl_vector_fixed tempDir = Classify(sample_pos, candidates, olddir, m_AngularThreshold, prob, true); // sample neighborhood if (candidates>0 && tempDir.magnitude()>0.001) // are we back in the white matter? { direction += d; // go into the direction of the white matter direction += tempDir*prob; // go into the direction of the white matter direction at this location } } } if (direction.magnitude()>0.001) { direction.normalize(); olddir[0] = direction[0]; olddir[1] = direction[1]; olddir[2] = direction[2]; } else direction.fill(0); return direction; } template< int NumImageFeatures > double MLBSTrackingFilter< NumImageFeatures >::FollowStreamline(ThreadIdType threadId, itk::Point pos, vnl_vector_fixed dir, FiberType* fib, double tractLength, bool front) { vnl_vector_fixed dirOld = dir; dirOld = dir; for (int step=0; step< m_MaxLength/2; step++) { while (m_PauseTracking){} if (m_DemoMode) { m_Mutex.Lock(); m_BuildFibersReady++; m_Tractogram.push_back(*fib); BuildFibers(true); m_Stop = true; m_Mutex.Unlock(); while (m_Stop){} } // get new position CalculateNewPosition(pos, dir); // is new position inside of image and mask if (!IsValidPosition(pos) || m_AbortTracking) // if not end streamline { return tractLength; } else // if yes, add new point to streamline { tractLength += m_StepSize; if (front) fib->push_front(pos); else fib->push_back(pos); if (m_AposterioriCurvCheck) { int curv = CheckCurvature(fib, front); // TODO: Move into classification ??? if (curv>0) { tractLength -= m_StepSize*curv; while (curv>0) { if (front) fib->pop_front(); else fib->pop_back(); curv--; } return tractLength; } } if (tractLength>m_MaxTractLength) return tractLength; } dir = GetNewDirection(pos, dirOld); if (dir.magnitude()<0.0001) return tractLength; } return tractLength; } template< int NumImageFeatures > int MLBSTrackingFilter::CheckCurvature(FiberType* fib, bool front) { double m_Distance = 5; if (fib->size()<3) return 0; double dist = 0; std::vector< vnl_vector_fixed< float, 3 > > vectors; vnl_vector_fixed< float, 3 > meanV; meanV.fill(0); double dev = 0; if (front) { int c=0; while(distsize()-1) { itk::Point p1 = fib->at(c); itk::Point p2 = fib->at(c+1); vnl_vector_fixed< float, 3 > v; v[0] = p2[0]-p1[0]; v[1] = p2[1]-p1[1]; v[2] = p2[2]-p1[2]; dist += v.magnitude(); v.normalize(); vectors.push_back(v); if (c==0) meanV += v; c++; } } else { int c=fib->size()-1; while(dist0) { itk::Point p1 = fib->at(c); itk::Point p2 = fib->at(c-1); vnl_vector_fixed< float, 3 > v; v[0] = p2[0]-p1[0]; v[1] = p2[1]-p1[1]; v[2] = p2[2]-p1[2]; dist += v.magnitude(); v.normalize(); vectors.push_back(v); if (c==fib->size()-1) meanV += v; c--; } } meanV.normalize(); for (int c=0; c1.0) angle = 1.0; if (angle<-1.0) angle = -1.0; dev += acos(angle)*180/M_PI; } if (vectors.size()>0) dev /= vectors.size(); if (dev<30) return 0; else return vectors.size(); } template< int NumImageFeatures > void MLBSTrackingFilter< NumImageFeatures >::ThreadedGenerateData(const InputImageRegionType ®ionForThread, ThreadIdType threadId) { m_Mutex.Lock(); m_Threads++; m_Mutex.Unlock(); typedef ImageRegionConstIterator< ItkUcharImgType > MaskIteratorType; MaskIteratorType sit(m_SeedImage, regionForThread ); MaskIteratorType mit(m_MaskImage, regionForThread ); sit.GoToBegin(); mit.GoToBegin(); itk::Point worldPos; while( !sit.IsAtEnd() ) { if (sit.Value()==0 || mit.Value()==0) { ++sit; ++mit; continue; } for (int s=0; s start; unsigned int counter = 0; if (m_SeedsPerVoxel>1) { start[0] = index[0]+GetRandDouble(-0.5, 0.5); start[1] = index[1]+GetRandDouble(-0.5, 0.5); start[2] = index[2]+GetRandDouble(-0.5, 0.5); } else { start[0] = index[0]; start[1] = index[1]; start[2] = index[2]; } // get staring position m_SeedImage->TransformContinuousIndexToPhysicalPoint( start, worldPos ); // get starting direction int candidates = 0; double prob = 0; vnl_vector_fixed dirOld; dirOld.fill(0.0); vnl_vector_fixed dir = Classify(worldPos, candidates, dirOld, 0, prob); if (dir.magnitude()<0.0001) continue; // forward tracking tractLength = FollowStreamline(threadId, worldPos, dir, &fib, 0, false); fib.push_front(worldPos); if (m_RemoveWmEndFibers) { itk::Point check = fib.back(); dirOld.fill(0.0); vnl_vector_fixed check2 = GetNewDirection(check, dirOld); if (check2.magnitude()>0.001) { MITK_INFO << "Detected WM ending. Discarding fiber."; continue; } } // backward tracking tractLength = FollowStreamline(threadId, worldPos, -dir, &fib, tractLength, true); counter = fib.size(); if (m_RemoveWmEndFibers) { itk::Point check = fib.front(); dirOld.fill(0.0); vnl_vector_fixed check2 = GetNewDirection(check, dirOld); if (check2.magnitude()>0.001) { MITK_INFO << "Detected WM ending. Discarding fiber."; continue; } } if (tractLength void MLBSTrackingFilter< NumImageFeatures >::BuildFibers(bool check) { if (m_BuildFibersReady::New(); vtkSmartPointer vNewLines = vtkSmartPointer::New(); vtkSmartPointer vNewPoints = vtkSmartPointer::New(); for (int i=0; i container = vtkSmartPointer::New(); FiberType fib = m_Tractogram.at(i); for (FiberType::iterator it = fib.begin(); it!=fib.end(); it++) { vtkIdType id = vNewPoints->InsertNextPoint((*it).GetDataPointer()); container->GetPointIds()->InsertNextId(id); } vNewLines->InsertNextCell(container); } if (check) for (int i=0; iSetPoints(vNewPoints); m_FiberPolyData->SetLines(vNewLines); m_BuildFibersFinished = true; } template< int NumImageFeatures > void MLBSTrackingFilter< NumImageFeatures >::AfterThreadedGenerateData() { MITK_INFO << "Generating polydata "; BuildFibers(false); MITK_INFO << "done"; } } #endif // __itkDiffusionQballPrincipleDirectionsImageFilter_txx diff --git a/Modules/DiffusionImaging/FiberTracking/Fiberfox/itkKspaceImageFilter.cpp b/Modules/DiffusionImaging/FiberTracking/Fiberfox/itkKspaceImageFilter.cpp index f4ceae36c6..eb4fdebfda 100644 --- a/Modules/DiffusionImaging/FiberTracking/Fiberfox/itkKspaceImageFilter.cpp +++ b/Modules/DiffusionImaging/FiberTracking/Fiberfox/itkKspaceImageFilter.cpp @@ -1,374 +1,456 @@ /*=================================================================== 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. ===================================================================*/ #ifndef __itkKspaceImageFilter_txx #define __itkKspaceImageFilter_txx #include #include #include #include "itkKspaceImageFilter.h" #include #include #include #include #include #include #define _USE_MATH_DEFINES #include namespace itk { template< class TPixelType > KspaceImageFilter< TPixelType > ::KspaceImageFilter() : m_Z(0) , m_UseConstantRandSeed(false) , m_SpikesPerSlice(0) , m_IsBaseline(true) { m_DiffusionGradientDirection.Fill(0.0); m_CoilPosition.Fill(0.0); } template< class TPixelType > void KspaceImageFilter< TPixelType > ::BeforeThreadedGenerateData() { m_Spike = vcl_complex(0,0); typename OutputImageType::Pointer outputImage = OutputImageType::New(); itk::ImageRegion<2> region; region.SetSize(0, m_Parameters->m_SignalGen.m_CroppedRegion.GetSize(0)); region.SetSize(1, m_Parameters->m_SignalGen.m_CroppedRegion.GetSize(1)); outputImage->SetLargestPossibleRegion( region ); outputImage->SetBufferedRegion( region ); outputImage->SetRequestedRegion( region ); outputImage->Allocate(); outputImage->FillBuffer(m_Spike); m_KSpaceImage = InputImageType::New(); m_KSpaceImage->SetLargestPossibleRegion( region ); m_KSpaceImage->SetBufferedRegion( region ); m_KSpaceImage->SetRequestedRegion( region ); m_KSpaceImage->Allocate(); m_KSpaceImage->FillBuffer(0.0); m_Gamma = 42576000; // Gyromagnetic ratio in Hz/T if ( m_Parameters->m_SignalGen.m_EddyStrength>0 && m_DiffusionGradientDirection.GetNorm()>0.001) { m_DiffusionGradientDirection.Normalize(); m_DiffusionGradientDirection = m_DiffusionGradientDirection * m_Parameters->m_SignalGen.m_EddyStrength/1000 * m_Gamma; m_IsBaseline = false; } this->SetNthOutput(0, outputImage); m_Transform = m_Parameters->m_SignalGen.m_ImageDirection; for (int i=0; i<3; i++) for (int j=0; j<3; j++) m_Transform[i][j] *= m_Parameters->m_SignalGen.m_ImageSpacing[j]; double a = m_Parameters->m_SignalGen.m_ImageRegion.GetSize(0)*m_Parameters->m_SignalGen.m_ImageSpacing[0]; double b = m_Parameters->m_SignalGen.m_ImageRegion.GetSize(1)*m_Parameters->m_SignalGen.m_ImageSpacing[1]; double diagonal = sqrt(a*a+b*b)/1000; // image diagonal in m switch (m_Parameters->m_SignalGen.m_CoilSensitivityProfile) { case SignalGenerationParameters::COIL_CONSTANT: { m_CoilSensitivityFactor = 1; // same signal everywhere break; } case SignalGenerationParameters::COIL_LINEAR: { m_CoilSensitivityFactor = -1/diagonal; // about 50% of the signal in the image center remaining break; } case SignalGenerationParameters::COIL_EXPONENTIAL: { m_CoilSensitivityFactor = -log(0.1)/diagonal; // about 32% of the signal in the image center remaining break; } } switch (m_Parameters->m_SignalGen.m_AcquisitionType) { case SignalGenerationParameters::SingleShotEpi: m_ReadoutScheme = new mitk::SingleShotEpi(m_Parameters); break; case SignalGenerationParameters::Cartesian: m_ReadoutScheme = new mitk::CartesianReadout(m_Parameters); break; default: m_ReadoutScheme = new mitk::SingleShotEpi(m_Parameters); } m_ReadoutScheme->AdjustEchoTime(); } template< class TPixelType > double KspaceImageFilter< TPixelType >::CoilSensitivity(DoubleVectorType& pos) { // ************************************************************************* // Coil ring is moving with excited slice (FIX THIS SOMETIME) m_CoilPosition[2] = pos[2]; // ************************************************************************* switch (m_Parameters->m_SignalGen.m_CoilSensitivityProfile) { case SignalGenerationParameters::COIL_CONSTANT: return 1; case SignalGenerationParameters::COIL_LINEAR: { DoubleVectorType diff = pos-m_CoilPosition; double sens = diff.GetNorm()*m_CoilSensitivityFactor + 1; if (sens<0) sens = 0; return sens; } case SignalGenerationParameters::COIL_EXPONENTIAL: { DoubleVectorType diff = pos-m_CoilPosition; double dist = diff.GetNorm(); return exp(-dist*m_CoilSensitivityFactor); } default: return 1; } } template< class TPixelType > void KspaceImageFilter< TPixelType > ::ThreadedGenerateData(const OutputImageRegionType& outputRegionForThread, ThreadIdType threadID) { itk::Statistics::MersenneTwisterRandomVariateGenerator::Pointer randGen = itk::Statistics::MersenneTwisterRandomVariateGenerator::New(); randGen->SetSeed(); if (m_UseConstantRandSeed) // always generate the same random numbers? randGen->SetSeed(threadID*100); else randGen->SetSeed(); typename OutputImageType::Pointer outputImage = static_cast< OutputImageType * >(this->ProcessObject::GetOutput(0)); ImageRegionIterator< OutputImageType > oit(outputImage, outputRegionForThread); typedef ImageRegionConstIterator< InputImageType > InputIteratorType; double kxMax = m_Parameters->m_SignalGen.m_CroppedRegion.GetSize(0); double kyMax = m_Parameters->m_SignalGen.m_CroppedRegion.GetSize(1); double xMax = m_CompartmentImages.at(0)->GetLargestPossibleRegion().GetSize(0); // scanner coverage in x-direction double yMax = m_CompartmentImages.at(0)->GetLargestPossibleRegion().GetSize(1); // scanner coverage in y-direction double yMaxFov = yMax*m_Parameters->m_SignalGen.m_CroppingFactor; // actual FOV in y-direction (in x-direction FOV=xMax) double numPix = kxMax*kyMax; double noiseVar = m_Parameters->m_SignalGen.m_PartialFourier*m_Parameters->m_SignalGen.m_NoiseVariance/(kyMax*kxMax); // adjust noise variance since it is the intended variance in physical space and not in k-space double dt = m_Parameters->m_SignalGen.m_tLine/kxMax; // time to read one k-space voxel while( !oit.IsAtEnd() ) { // dephasing time double t= m_ReadoutScheme->GetTimeFromMaxEcho(oit.GetIndex()); // readout time double tall = m_ReadoutScheme->GetRedoutTime(oit.GetIndex()); // calculate eddy current decay factor double eddyDecay = 0; if ( m_Parameters->m_Misc.m_CheckAddEddyCurrentsBox && m_Parameters->m_SignalGen.m_EddyStrength>0) eddyDecay = exp(-tall/m_Parameters->m_SignalGen.m_Tau ); // calcualte signal relaxation factors std::vector< double > relaxFactor; if ( m_Parameters->m_SignalGen.m_DoSimulateRelaxation) for (unsigned int i=0; im_SignalGen.m_tEcho+t)/m_T2.at(i) -fabs(t)/ m_Parameters->m_SignalGen.m_tInhom)*(1.0-exp(-m_Parameters->m_SignalGen.m_tRep/m_T1.at(i))) ); // get current k-space index (depends on the schosen k-space readout scheme) itk::Index< 2 > kIdx = m_ReadoutScheme->GetActualKspaceIndex(oit.GetIndex()); // partial fourier bool pf = false; if (kIdx[1]>kyMax*m_Parameters->m_SignalGen.m_PartialFourier) pf = true; if (!pf) { // shift k for DFT: (0 -- N) --> (-N/2 -- N/2) double kx = kIdx[0]; double ky = kIdx[1]; if ((int)kxMax%2==1) kx -= (kxMax-1)/2; else kx -= kxMax/2; if ((int)kyMax%2==1) ky -= (kyMax-1)/2; else ky -= kyMax/2; // add ghosting if (oit.GetIndex()[1]%2 == 1) kx -= m_Parameters->m_SignalGen.m_KspaceLineOffset; // add gradient delay induced offset else kx += m_Parameters->m_SignalGen.m_KspaceLineOffset; // add gradient delay induced offset vcl_complex s(0,0); InputIteratorType it(m_CompartmentImages.at(0), m_CompartmentImages.at(0)->GetLargestPossibleRegion() ); while( !it.IsAtEnd() ) { double x = it.GetIndex()[0]; double y = it.GetIndex()[1]; if ((int)xMax%2==1) x -= (xMax-1)/2; else x -= xMax/2; if ((int)yMax%2==1) y -= (yMax-1)/2; else y -= yMax/2; DoubleVectorType pos; pos[0] = x; pos[1] = y; pos[2] = m_Z; pos = m_Transform*pos/1000; // vector from image center to current position (in meter) vcl_complex f(0, 0); // sum compartment signals and simulate relaxation for (unsigned int i=0; im_SignalGen.m_DoSimulateRelaxation) f += std::complex( m_CompartmentImages.at(i)->GetPixel(it.GetIndex()) * relaxFactor.at(i) * m_Parameters->m_SignalGen.m_SignalScale, 0); else f += std::complex( m_CompartmentImages.at(i)->GetPixel(it.GetIndex()) * m_Parameters->m_SignalGen.m_SignalScale ); if (m_Parameters->m_SignalGen.m_CoilSensitivityProfile!=SignalGenerationParameters::COIL_CONSTANT) f *= CoilSensitivity(pos); // simulate eddy currents and other distortions double omega = 0; // frequency offset if ( m_Parameters->m_SignalGen.m_EddyStrength>0 && m_Parameters->m_Misc.m_CheckAddEddyCurrentsBox && !m_IsBaseline) { omega += (m_DiffusionGradientDirection[0]*pos[0]+m_DiffusionGradientDirection[1]*pos[1]+m_DiffusionGradientDirection[2]*pos[2]) * eddyDecay; } if (m_Parameters->m_SignalGen.m_FrequencyMap.IsNotNull()) // simulate distortions { itk::Point point3D; ItkDoubleImgType::IndexType index; index[0] = it.GetIndex()[0]; index[1] = it.GetIndex()[1]; index[2] = m_Zidx; if (m_Parameters->m_SignalGen.m_DoAddMotion) { m_Parameters->m_SignalGen.m_FrequencyMap->TransformIndexToPhysicalPoint(index, point3D); point3D = m_FiberBundle->TransformPoint(point3D.GetVnlVector(), -m_Rotation[0],-m_Rotation[1],-m_Rotation[2],-m_Translation[0],-m_Translation[1],-m_Translation[2]); - m_Parameters->m_SignalGen.m_FrequencyMap->TransformPhysicalPointToIndex(point3D, index); - if (m_Parameters->m_SignalGen.m_FrequencyMap->GetLargestPossibleRegion().IsInside(index)) - omega += m_Parameters->m_SignalGen.m_FrequencyMap->GetPixel(index); + omega += InterpolateFmapValue(point3D); } else { omega += m_Parameters->m_SignalGen.m_FrequencyMap->GetPixel(index); } } // if signal comes from outside FOV, mirror it back (wrap-around artifact - aliasing) if (y<-yMaxFov/2) y += yMaxFov; else if (y>=yMaxFov/2) y -= yMaxFov; // actual DFT term s += f * exp( std::complex(0, 2 * M_PI * (kx*x/xMax + ky*y/yMaxFov + omega*t/1000 )) ); ++it; } s /= numPix; if (m_SpikesPerSlice>0 && sqrt(s.imag()*s.imag()+s.real()*s.real()) > sqrt(m_Spike.imag()*m_Spike.imag()+m_Spike.real()*m_Spike.real()) ) m_Spike = s; if (m_Parameters->m_SignalGen.m_NoiseVariance>0) s = vcl_complex(s.real()+randGen->GetNormalVariate(0,noiseVar), s.imag()+randGen->GetNormalVariate(0,noiseVar)); outputImage->SetPixel(kIdx, s); -// m_KSpaceImage->SetPixel(kIdx, t/dt ); + // m_KSpaceImage->SetPixel(kIdx, t/dt ); m_KSpaceImage->SetPixel(kIdx, sqrt(s.imag()*s.imag()+s.real()*s.real()) ); +// if (m_Parameters->m_SignalGen.m_FrequencyMap.IsNotNull()) // simulate distortions +// { +// itk::Point point3D; +// ItkDoubleImgType::IndexType index; index[0] = kIdx[0]; index[1] = kIdx[1]; index[2] = m_Zidx; +// if (m_Parameters->m_SignalGen.m_DoAddMotion) +// { +// m_Parameters->m_SignalGen.m_FrequencyMap->TransformIndexToPhysicalPoint(index, point3D); +// point3D = m_FiberBundle->TransformPoint(point3D.GetVnlVector(), -m_Rotation[0],-m_Rotation[1],-m_Rotation[2],-m_Translation[0],-m_Translation[1],-m_Translation[2]); +// m_KSpaceImage->SetPixel(kIdx, InterpolateFmapValue(point3D) ); +// } +// } } ++oit; } } template< class TPixelType > void KspaceImageFilter< TPixelType > ::AfterThreadedGenerateData() { delete m_ReadoutScheme; typename OutputImageType::Pointer outputImage = static_cast< OutputImageType * >(this->ProcessObject::GetOutput(0)); double kxMax = outputImage->GetLargestPossibleRegion().GetSize(0); // k-space size in x-direction double kyMax = outputImage->GetLargestPossibleRegion().GetSize(1); // k-space size in y-direction ImageRegionIterator< OutputImageType > oit(outputImage, outputImage->GetLargestPossibleRegion()); while( !oit.IsAtEnd() ) // use hermitian k-space symmetry to fill empty k-space parts resulting from partial fourier acquisition { itk::Index< 2 > kIdx; kIdx[0] = oit.GetIndex()[0]; kIdx[1] = oit.GetIndex()[1]; // reverse phase if (!m_Parameters->m_SignalGen.m_ReversePhase) kIdx[1] = kyMax-1-kIdx[1]; if (kIdx[1]>kyMax*m_Parameters->m_SignalGen.m_PartialFourier) { // reverse readout direction if (oit.GetIndex()[1]%2 == 1) kIdx[0] = kxMax-kIdx[0]-1; // calculate symmetric index itk::Index< 2 > kIdx2; kIdx2[0] = (int)(kxMax-kIdx[0]-(int)kxMax%2)%(int)kxMax; kIdx2[1] = (int)(kyMax-kIdx[1]-(int)kyMax%2)%(int)kyMax; // use complex conjugate of symmetric index value at current index vcl_complex s = outputImage->GetPixel(kIdx2); s = vcl_complex(s.real(), -s.imag()); outputImage->SetPixel(kIdx, s); m_KSpaceImage->SetPixel(kIdx, sqrt(s.imag()*s.imag()+s.real()*s.real()) ); } ++oit; } itk::Statistics::MersenneTwisterRandomVariateGenerator::Pointer randGen = itk::Statistics::MersenneTwisterRandomVariateGenerator::New(); randGen->SetSeed(); if (m_UseConstantRandSeed) // always generate the same random numbers? randGen->SetSeed(0); else randGen->SetSeed(); m_Spike *= m_Parameters->m_SignalGen.m_SpikeAmplitude; itk::Index< 2 > spikeIdx; for (unsigned int i=0; iGetIntegerVariate()%(int)kxMax; spikeIdx[1] = randGen->GetIntegerVariate()%(int)kyMax; outputImage->SetPixel(spikeIdx, m_Spike); } } + + +template< class TPixelType > +double KspaceImageFilter< TPixelType >::InterpolateFmapValue(itk::Point itkP) +{ + itk::Index<3> idx; + itk::ContinuousIndex< double, 3> cIdx; + m_Parameters->m_SignalGen.m_FrequencyMap->TransformPhysicalPointToIndex(itkP, idx); + m_Parameters->m_SignalGen.m_FrequencyMap->TransformPhysicalPointToContinuousIndex(itkP, cIdx); + + double pix = 0; + if ( m_Parameters->m_SignalGen.m_FrequencyMap->GetLargestPossibleRegion().IsInside(idx) ) + pix = m_Parameters->m_SignalGen.m_FrequencyMap->GetPixel(idx); + else + return pix; + + double frac_x = cIdx[0] - idx[0]; + double frac_y = cIdx[1] - idx[1]; + double frac_z = cIdx[2] - idx[2]; + if (frac_x<0) + { + idx[0] -= 1; + frac_x += 1; + } + if (frac_y<0) + { + idx[1] -= 1; + frac_y += 1; + } + if (frac_z<0) + { + idx[2] -= 1; + frac_z += 1; + } + frac_x = 1-frac_x; + frac_y = 1-frac_y; + frac_z = 1-frac_z; + + // int coordinates inside image? + if (idx[0] >= 0 && idx[0] < m_Parameters->m_SignalGen.m_FrequencyMap->GetLargestPossibleRegion().GetSize(0)-1 && + idx[1] >= 0 && idx[1] < m_Parameters->m_SignalGen.m_FrequencyMap->GetLargestPossibleRegion().GetSize(1)-1 && + idx[2] >= 0 && idx[2] < m_Parameters->m_SignalGen.m_FrequencyMap->GetLargestPossibleRegion().GetSize(2)-1) + { + vnl_vector_fixed interpWeights; + interpWeights[0] = ( frac_x)*( frac_y)*( frac_z); + interpWeights[1] = (1-frac_x)*( frac_y)*( frac_z); + interpWeights[2] = ( frac_x)*(1-frac_y)*( frac_z); + interpWeights[3] = ( frac_x)*( frac_y)*(1-frac_z); + interpWeights[4] = (1-frac_x)*(1-frac_y)*( frac_z); + interpWeights[5] = ( frac_x)*(1-frac_y)*(1-frac_z); + interpWeights[6] = (1-frac_x)*( frac_y)*(1-frac_z); + interpWeights[7] = (1-frac_x)*(1-frac_y)*(1-frac_z); + + pix = m_Parameters->m_SignalGen.m_FrequencyMap->GetPixel(idx) * interpWeights[0]; + ItkDoubleImgType::IndexType tmpIdx = idx; tmpIdx[0]++; + pix += m_Parameters->m_SignalGen.m_FrequencyMap->GetPixel(tmpIdx) * interpWeights[1]; + tmpIdx = idx; tmpIdx[1]++; + pix += m_Parameters->m_SignalGen.m_FrequencyMap->GetPixel(tmpIdx) * interpWeights[2]; + tmpIdx = idx; tmpIdx[2]++; + pix += m_Parameters->m_SignalGen.m_FrequencyMap->GetPixel(tmpIdx) * interpWeights[3]; + tmpIdx = idx; tmpIdx[0]++; tmpIdx[1]++; + pix += m_Parameters->m_SignalGen.m_FrequencyMap->GetPixel(tmpIdx) * interpWeights[4]; + tmpIdx = idx; tmpIdx[1]++; tmpIdx[2]++; + pix += m_Parameters->m_SignalGen.m_FrequencyMap->GetPixel(tmpIdx) * interpWeights[5]; + tmpIdx = idx; tmpIdx[2]++; tmpIdx[0]++; + pix += m_Parameters->m_SignalGen.m_FrequencyMap->GetPixel(tmpIdx) * interpWeights[6]; + tmpIdx = idx; tmpIdx[0]++; tmpIdx[1]++; tmpIdx[2]++; + pix += m_Parameters->m_SignalGen.m_FrequencyMap->GetPixel(tmpIdx) * interpWeights[7]; + } + + return pix; +} + } #endif diff --git a/Modules/DiffusionImaging/FiberTracking/Fiberfox/itkKspaceImageFilter.h b/Modules/DiffusionImaging/FiberTracking/Fiberfox/itkKspaceImageFilter.h index e1671b5cc3..63e9042245 100644 --- a/Modules/DiffusionImaging/FiberTracking/Fiberfox/itkKspaceImageFilter.h +++ b/Modules/DiffusionImaging/FiberTracking/Fiberfox/itkKspaceImageFilter.h @@ -1,142 +1,143 @@ /*=================================================================== 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. ===================================================================*/ /*=================================================================== This file is based heavily on a corresponding ITK filter. ===================================================================*/ #ifndef __itkKspaceImageFilter_h_ #define __itkKspaceImageFilter_h_ #include #include #include #include #include #include #include #include using namespace std; namespace itk{ /** * \brief Simulates k-space acquisition of one slice with a single shot EPI sequence. Enables the simulation of various effects occuring during real MR acquisitions: * - T2 signal relaxation * - Spikes * - N/2 Ghosts * - Aliasing (wrap around) * - Image distortions (off-frequency effects) * - Gibbs ringing * - Eddy current effects * Based on a discrete fourier transformation. * See "Fiberfox: Facilitating the creation of realistic white matter software phantoms" (DOI: 10.1002/mrm.25045) for details. */ template< class TPixelType > class KspaceImageFilter : public ImageSource< Image< vcl_complex< TPixelType >, 2 > > { public: typedef KspaceImageFilter Self; typedef SmartPointer Pointer; typedef SmartPointer ConstPointer; typedef ImageSource< Image< vcl_complex< TPixelType >, 2 > > Superclass; /** Method for creation through the object factory. */ itkFactorylessNewMacro(Self) itkCloneMacro(Self) /** Runtime information support. */ itkTypeMacro(KspaceImageFilter, ImageToImageFilter) typedef typename itk::Image< double, 2 > InputImageType; typedef typename InputImageType::Pointer InputImagePointerType; typedef typename Superclass::OutputImageType OutputImageType; typedef typename Superclass::OutputImageRegionType OutputImageRegionType; typedef itk::Matrix MatrixType; typedef itk::Point Point2D; typedef itk::Vector< double,3> DoubleVectorType; typedef itk::Image ItkDoubleImgType; itkSetMacro( SpikesPerSlice, unsigned int ) ///< Number of spikes per slice. Corresponding parameter in fiberfox parameter object specifies the number of spikes for the whole image and can thus not be used here. itkSetMacro( Z, double ) ///< Slice position, necessary for eddy current simulation. itkSetMacro( UseConstantRandSeed, bool ) ///< Use constant seed for random generator for reproducible results. itkSetMacro( Rotation, DoubleVectorType ) itkSetMacro( Translation, DoubleVectorType ) itkSetMacro( Zidx, int ) itkSetMacro( FiberBundle, FiberBundle::Pointer ) itkSetMacro( CoilPosition, DoubleVectorType ) itkGetMacro( KSpaceImage, typename InputImageType::Pointer ) ///< k-space magnitude image void SetParameters( FiberfoxParameters* param ){ m_Parameters = param; } void SetCompartmentImages( std::vector< InputImagePointerType > cImgs ) { m_CompartmentImages=cImgs; } ///< One signal image per compartment. void SetT2( std::vector< double > t2Vector ) { m_T2=t2Vector; } ///< One T2 relaxation constant per compartment image. void SetT1( std::vector< double > t1Vector ) { m_T1=t1Vector; } ///< One T1 relaxation constant per compartment image. void SetDiffusionGradientDirection(itk::Vector g) { m_DiffusionGradientDirection=g; } ///< Gradient direction is needed for eddy current simulation. protected: KspaceImageFilter(); ~KspaceImageFilter() {} double CoilSensitivity(DoubleVectorType& pos); void BeforeThreadedGenerateData(); void ThreadedGenerateData( const OutputImageRegionType &outputRegionForThread, ThreadIdType threadID); void AfterThreadedGenerateData(); + double InterpolateFmapValue(itk::Point itkP); DoubleVectorType m_CoilPosition; FiberfoxParameters* m_Parameters; vector< double > m_T2; vector< double > m_T1; vector< InputImagePointerType > m_CompartmentImages; itk::Vector m_DiffusionGradientDirection; double m_Z; int m_Zidx; bool m_UseConstantRandSeed; unsigned int m_SpikesPerSlice; FiberBundle::Pointer m_FiberBundle; double m_Gamma; DoubleVectorType m_Rotation; ///< used to find correct point in frequency map (head motion) DoubleVectorType m_Translation; ///< used to find correct point in frequency map (head motion) bool m_IsBaseline; vcl_complex m_Spike; MatrixType m_Transform; double m_CoilSensitivityFactor; typename InputImageType::Pointer m_KSpaceImage; typename InputImageType::Pointer m_TimeFromEchoImage; typename InputImageType::Pointer m_ReadoutTimeImage; AcquisitionType* m_ReadoutScheme; private: }; } #ifndef ITK_MANUAL_INSTANTIATION #include "itkKspaceImageFilter.cpp" #endif #endif //__itkKspaceImageFilter_h_ diff --git a/Modules/DiffusionImaging/FiberTracking/Fiberfox/itkTractsToDWIImageFilter.cpp b/Modules/DiffusionImaging/FiberTracking/Fiberfox/itkTractsToDWIImageFilter.cpp index e58c9002e6..c3818bb8fc 100755 --- a/Modules/DiffusionImaging/FiberTracking/Fiberfox/itkTractsToDWIImageFilter.cpp +++ b/Modules/DiffusionImaging/FiberTracking/Fiberfox/itkTractsToDWIImageFilter.cpp @@ -1,1580 +1,1698 @@ /*=================================================================== 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 "itkTractsToDWIImageFilter.h" #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 #include #include #include namespace itk { template< class PixelType > TractsToDWIImageFilter< PixelType >::TractsToDWIImageFilter() : m_FiberBundle(NULL) , m_StatusText("") , m_UseConstantRandSeed(false) , m_RandGen(itk::Statistics::MersenneTwisterRandomVariateGenerator::New()) { m_RandGen->SetSeed(); } template< class PixelType > TractsToDWIImageFilter< PixelType >::~TractsToDWIImageFilter() { } template< class PixelType > TractsToDWIImageFilter< PixelType >::DoubleDwiType::Pointer TractsToDWIImageFilter< PixelType >::SimulateKspaceAcquisition( std::vector< DoubleDwiType::Pointer >& images ) { int numFiberCompartments = m_Parameters.m_FiberModelList.size(); // create slice object ImageRegion<2> sliceRegion; sliceRegion.SetSize(0, m_WorkingImageRegion.GetSize()[0]); sliceRegion.SetSize(1, m_WorkingImageRegion.GetSize()[1]); Vector< double, 2 > sliceSpacing; sliceSpacing[0] = m_WorkingSpacing[0]; sliceSpacing[1] = m_WorkingSpacing[1]; DoubleDwiType::PixelType nullPix; nullPix.SetSize(images.at(0)->GetVectorLength()); nullPix.Fill(0.0); DoubleDwiType::Pointer magnitudeDwiImage = DoubleDwiType::New(); magnitudeDwiImage->SetSpacing( m_Parameters.m_SignalGen.m_ImageSpacing ); magnitudeDwiImage->SetOrigin( m_Parameters.m_SignalGen.m_ImageOrigin ); magnitudeDwiImage->SetDirection( m_Parameters.m_SignalGen.m_ImageDirection ); magnitudeDwiImage->SetLargestPossibleRegion( m_Parameters.m_SignalGen.m_CroppedRegion ); magnitudeDwiImage->SetBufferedRegion( m_Parameters.m_SignalGen.m_CroppedRegion ); magnitudeDwiImage->SetRequestedRegion( m_Parameters.m_SignalGen.m_CroppedRegion ); magnitudeDwiImage->SetVectorLength( images.at(0)->GetVectorLength() ); magnitudeDwiImage->Allocate(); magnitudeDwiImage->FillBuffer(nullPix); m_PhaseImage = DoubleDwiType::New(); m_PhaseImage->SetSpacing( m_Parameters.m_SignalGen.m_ImageSpacing ); m_PhaseImage->SetOrigin( m_Parameters.m_SignalGen.m_ImageOrigin ); m_PhaseImage->SetDirection( m_Parameters.m_SignalGen.m_ImageDirection ); m_PhaseImage->SetLargestPossibleRegion( m_Parameters.m_SignalGen.m_CroppedRegion ); m_PhaseImage->SetBufferedRegion( m_Parameters.m_SignalGen.m_CroppedRegion ); m_PhaseImage->SetRequestedRegion( m_Parameters.m_SignalGen.m_CroppedRegion ); m_PhaseImage->SetVectorLength( images.at(0)->GetVectorLength() ); m_PhaseImage->Allocate(); m_PhaseImage->FillBuffer(nullPix); // itk::ImageRegion<4> imageRegion4D; // itk::Vector imageSpacing4D; imageSpacing4D.Fill(1); // itk::Point imageOrigin4D; imageOrigin4D.Fill(0); // itk::Matrix imageDirection4D; imageDirection4D.SetIdentity(); // imageRegion4D.SetSize(0, m_Parameters.m_SignalGen.m_CroppedRegion.GetSize(0)); // imageRegion4D.SetSize(1, m_Parameters.m_SignalGen.m_CroppedRegion.GetSize(1)); // imageRegion4D.SetSize(2, m_Parameters.m_SignalGen.m_CroppedRegion.GetSize(2)); // imageRegion4D.SetSize(3, m_Parameters.m_SignalGen.m_NumberOfCoils); // for (int i=0; i<3; i++) // { // imageSpacing4D[i] = m_Parameters.m_SignalGen.m_ImageSpacing[i]; // imageOrigin4D[i] = m_Parameters.m_SignalGen.m_ImageOrigin[i]; // for (int j=0; j<3; j++) // imageDirection4D[i][j]=m_Parameters.m_SignalGen.m_ImageDirection[i][j]; // } //// ItkDoubleImgType4D::PixelType nullPix4D; //// nullPix4D.SetSize(images.at(0)->GetVectorLength()); //// nullPix4D.Fill(0.0); // m_KspaceImage = ItkDoubleImgType4D::New(); // m_KspaceImage->SetSpacing( imageSpacing4D ); // m_KspaceImage->SetOrigin( imageOrigin4D ); // m_KspaceImage->SetDirection( imageDirection4D ); // m_KspaceImage->SetLargestPossibleRegion( imageRegion4D ); // m_KspaceImage->SetBufferedRegion( imageRegion4D ); // m_KspaceImage->SetRequestedRegion( imageRegion4D ); //// m_KspaceImage->SetVectorLength( images.at(0)->GetVectorLength() ); // m_KspaceImage->Allocate(); // m_KspaceImage->FillBuffer(0); m_KspaceImage = DoubleDwiType::New(); m_KspaceImage->SetSpacing( m_Parameters.m_SignalGen.m_ImageSpacing ); m_KspaceImage->SetOrigin( m_Parameters.m_SignalGen.m_ImageOrigin ); m_KspaceImage->SetDirection( m_Parameters.m_SignalGen.m_ImageDirection ); m_KspaceImage->SetLargestPossibleRegion( m_Parameters.m_SignalGen.m_CroppedRegion ); m_KspaceImage->SetBufferedRegion( m_Parameters.m_SignalGen.m_CroppedRegion ); m_KspaceImage->SetRequestedRegion( m_Parameters.m_SignalGen.m_CroppedRegion ); m_KspaceImage->SetVectorLength( m_Parameters.m_SignalGen.m_NumberOfCoils ); m_KspaceImage->Allocate(); m_KspaceImage->FillBuffer(nullPix); std::vector< unsigned int > spikeVolume; for (unsigned int i=0; iGetIntegerVariate()%(images.at(0)->GetVectorLength())); std::sort (spikeVolume.begin(), spikeVolume.end()); std::reverse (spikeVolume.begin(), spikeVolume.end()); // calculate coil positions double a = m_Parameters.m_SignalGen.m_ImageRegion.GetSize(0)*m_Parameters.m_SignalGen.m_ImageSpacing[0]; double b = m_Parameters.m_SignalGen.m_ImageRegion.GetSize(1)*m_Parameters.m_SignalGen.m_ImageSpacing[1]; double c = m_Parameters.m_SignalGen.m_ImageRegion.GetSize(2)*m_Parameters.m_SignalGen.m_ImageSpacing[2]; double diagonal = sqrt(a*a+b*b)/1000; // image diagonal in m m_CoilPointset = mitk::PointSet::New(); std::vector< itk::Vector > coilPositions; itk::Vector pos; pos.Fill(0.0); pos[1] = -diagonal/2; itk::Vector center; center[0] = a/2-m_Parameters.m_SignalGen.m_ImageSpacing[0]/2; center[1] = b/2-m_Parameters.m_SignalGen.m_ImageSpacing[2]/2; center[2] = c/2-m_Parameters.m_SignalGen.m_ImageSpacing[1]/2; for (int c=0; cInsertPoint(c, pos*1000 + m_Parameters.m_SignalGen.m_ImageOrigin.GetVectorFromOrigin() + center ); double rz = 360.0/m_Parameters.m_SignalGen.m_NumberOfCoils * M_PI/180; vnl_matrix_fixed< double, 3, 3 > rotZ; rotZ.set_identity(); rotZ[0][0] = cos(rz); rotZ[1][1] = rotZ[0][0]; rotZ[0][1] = -sin(rz); rotZ[1][0] = -rotZ[0][1]; pos.SetVnlVector(rotZ*pos.GetVnlVector()); } m_StatusText += "0% 10 20 30 40 50 60 70 80 90 100%\n"; m_StatusText += "|----|----|----|----|----|----|----|----|----|----|\n*"; unsigned long lastTick = 0; boost::progress_display disp(images.at(0)->GetVectorLength()*images.at(0)->GetLargestPossibleRegion().GetSize(2)); for (unsigned int g=0; gGetVectorLength(); g++) { std::vector< unsigned int > spikeSlice; while (!spikeVolume.empty() && spikeVolume.back()==g) { spikeSlice.push_back(m_RandGen->GetIntegerVariate()%images.at(0)->GetLargestPossibleRegion().GetSize(2)); spikeVolume.pop_back(); } std::sort (spikeSlice.begin(), spikeSlice.end()); std::reverse (spikeSlice.begin(), spikeSlice.end()); for (unsigned int z=0; zGetLargestPossibleRegion().GetSize(2); z++) { std::vector< SliceType::Pointer > compartmentSlices; std::vector< double > t2Vector; std::vector< double > t1Vector; for (unsigned int i=0; i* signalModel; if (iSetLargestPossibleRegion( sliceRegion ); slice->SetBufferedRegion( sliceRegion ); slice->SetRequestedRegion( sliceRegion ); slice->SetSpacing(sliceSpacing); slice->Allocate(); slice->FillBuffer(0.0); // extract slice from channel g for (unsigned int y=0; yGetLargestPossibleRegion().GetSize(1); y++) for (unsigned int x=0; xGetLargestPossibleRegion().GetSize(0); x++) { SliceType::IndexType index2D; index2D[0]=x; index2D[1]=y; DoubleDwiType::IndexType index3D; index3D[0]=x; index3D[1]=y; index3D[2]=z; slice->SetPixel(index2D, images.at(i)->GetPixel(index3D)[g]); } compartmentSlices.push_back(slice); t2Vector.push_back(signalModel->GetT2()); t1Vector.push_back(signalModel->GetT1()); } int numSpikes = 0; while (!spikeSlice.empty() && spikeSlice.back()==z) { numSpikes++; spikeSlice.pop_back(); } int spikeCoil = m_RandGen->GetIntegerVariate()%m_Parameters.m_SignalGen.m_NumberOfCoils; if (this->GetAbortGenerateData()) return NULL; #pragma omp parallel for for (int c=0; c::Pointer idft = itk::KspaceImageFilter< SliceType::PixelType >::New(); idft->SetCompartmentImages(compartmentSlices); idft->SetT2(t2Vector); idft->SetT1(t1Vector); idft->SetUseConstantRandSeed(m_UseConstantRandSeed); idft->SetParameters(&m_Parameters); idft->SetZ((double)z-(double)(images.at(0)->GetLargestPossibleRegion().GetSize(2)-images.at(0)->GetLargestPossibleRegion().GetSize(2)%2)/2.0); idft->SetZidx(z); idft->SetCoilPosition(coilPositions.at(c)); idft->SetFiberBundle(m_FiberBundleWorkingCopy); - if (m_Parameters.m_SignalGen.m_DoAddMotion) - { - idft->SetTranslation(m_Translations.at(g)); - idft->SetRotation(m_Rotations.at(g)); - } + idft->SetTranslation(m_Translations.at(g)); + idft->SetRotation(m_Rotations.at(g)); idft->SetDiffusionGradientDirection(m_Parameters.m_SignalGen.GetGradientDirection(g)); if (c==spikeCoil) idft->SetSpikesPerSlice(numSpikes); // idft->SetNumberOfThreads(1); idft->Update(); ComplexSliceType::Pointer fSlice; fSlice = idft->GetOutput(); // fourier transform slice ComplexSliceType::Pointer newSlice; itk::DftImageFilter< SliceType::PixelType >::Pointer dft = itk::DftImageFilter< SliceType::PixelType >::New(); dft->SetInput(fSlice); dft->SetParameters(m_Parameters); dft->Update(); newSlice = dft->GetOutput(); // put slice back into channel g for (unsigned int y=0; yGetLargestPossibleRegion().GetSize(1); y++) for (unsigned int x=0; xGetLargestPossibleRegion().GetSize(0); x++) { DoubleDwiType::IndexType index3D; index3D[0]=x; index3D[1]=y; index3D[2]=z; ComplexSliceType::IndexType index2D; index2D[0]=x; index2D[1]=y; ComplexSliceType::PixelType cPix = newSlice->GetPixel(index2D); double magn = sqrt(cPix.real()*cPix.real()+cPix.imag()*cPix.imag()); double phase = 0; if (cPix.real()!=0) phase = atan( cPix.imag()/cPix.real() ); DoubleDwiType::PixelType dwiPix = magnitudeDwiImage->GetPixel(index3D); DoubleDwiType::PixelType phasePix = m_PhaseImage->GetPixel(index3D); if (m_Parameters.m_SignalGen.m_NumberOfCoils>1) { dwiPix[g] += magn*magn; phasePix[g] += phase*phase; } else { dwiPix[g] = magn; phasePix[g] = phase; } #pragma omp critical { magnitudeDwiImage->SetPixel(index3D, dwiPix); m_PhaseImage->SetPixel(index3D, phasePix); // k-space image // { // DoubleDwiType4D::IndexType idx4d; // idx4d[0]=index3D[0]; // idx4d[1]=index3D[1]; // idx4d[2]=index3D[2]; // idx4d[3]=c; // ItkDoubleImgType4D::PixelType pix4D = m_KspaceImage->GetPixel(idx4d); // pix4D = idft->GetKSpaceImage()->GetPixel(index2D); // m_KspaceImage->SetPixel(idx4d, pix4D); // } if (g==0) { DoubleDwiType::PixelType kspacePix = m_KspaceImage->GetPixel(index3D); kspacePix[c] = idft->GetKSpaceImage()->GetPixel(index2D); m_KspaceImage->SetPixel(index3D, kspacePix); } } } } if (m_Parameters.m_SignalGen.m_NumberOfCoils>1) { #pragma omp parallel for collapse(2) for (unsigned int y=0; yGetLargestPossibleRegion().GetSize(1); y++) for (unsigned int x=0; xGetLargestPossibleRegion().GetSize(0); x++) { DoubleDwiType::IndexType index3D; index3D[0]=x; index3D[1]=y; index3D[2]=z; DoubleDwiType::PixelType magPix = magnitudeDwiImage->GetPixel(index3D); magPix[g] = sqrt(magPix[g]/m_Parameters.m_SignalGen.m_NumberOfCoils); DoubleDwiType::PixelType phasePix = m_PhaseImage->GetPixel(index3D); phasePix[g] = sqrt(phasePix[g]/m_Parameters.m_SignalGen.m_NumberOfCoils); #pragma omp critical { magnitudeDwiImage->SetPixel(index3D, magPix); m_PhaseImage->SetPixel(index3D, phasePix); } } } ++disp; unsigned long newTick = 50*disp.count()/disp.expected_count(); for (unsigned long tick = 0; tick<(newTick-lastTick); tick++) m_StatusText += "*"; lastTick = newTick; } } m_StatusText += "\n\n"; return magnitudeDwiImage; } template< class PixelType > TractsToDWIImageFilter< PixelType >::ItkDoubleImgType::Pointer TractsToDWIImageFilter< PixelType >::NormalizeInsideMask(ItkDoubleImgType::Pointer image) { double max = itk::NumericTraits< double >::min(); double min = itk::NumericTraits< double >::max(); itk::ImageRegionIterator< ItkDoubleImgType > it(image, image->GetLargestPossibleRegion()); while(!it.IsAtEnd()) { if (m_Parameters.m_SignalGen.m_MaskImage.IsNotNull() && m_Parameters.m_SignalGen.m_MaskImage->GetPixel(it.GetIndex())<=0) { it.Set(0.0); ++it; continue; } // if (it.Get()>900) // it.Set(900); if (it.Get()>max) max = it.Get(); if (it.Get()::Pointer scaler = itk::ShiftScaleImageFilter< ItkDoubleImgType, ItkDoubleImgType >::New(); scaler->SetInput(image); scaler->SetShift(-min); scaler->SetScale(1.0/(max-min)); scaler->Update(); return scaler->GetOutput(); } template< class PixelType > void TractsToDWIImageFilter< PixelType >::CheckVolumeFractionImages() { m_UseRelativeNonFiberVolumeFractions = false; // check for fiber volume fraction maps int fibVolImages = 0; for (int i=0; iGetVolumeFractionImage().IsNotNull()) { m_StatusText += "Using volume fraction map for fiber compartment " + boost::lexical_cast(i+1) + "\n"; MITK_INFO << "Using volume fraction map for fiber compartment " + boost::lexical_cast(i+1); fibVolImages++; } // check for non-fiber volume fraction maps int nonfibVolImages = 0; for (int i=0; iGetVolumeFractionImage().IsNotNull()) { m_StatusText += "Using volume fraction map for non-fiber compartment " + boost::lexical_cast(i+1) + "\n"; MITK_INFO << "Using volume fraction map for non-fiber compartment " + boost::lexical_cast(i+1); nonfibVolImages++; } // not all fiber compartments are using volume fraction maps --> non-fiber volume fractions are assumed to be relative to the non-fiber volume and not absolute voxel-volume fractions. // this means if two non-fiber compartments are used but only one of them has an associated volume fraction map, the repesctive other volume fraction map can be determined as inverse (1-val) of the present volume fraction map- if ( fibVolImages::Pointer inverter = itk::InvertIntensityImageFilter< ItkDoubleImgType, ItkDoubleImgType >::New(); inverter->SetMaximum(1.0); if ( m_Parameters.m_NonFiberModelList[0]->GetVolumeFractionImage().IsNull() && m_Parameters.m_NonFiberModelList[1]->GetVolumeFractionImage().IsNotNull() ) { // m_Parameters.m_NonFiberModelList[1]->SetVolumeFractionImage( NormalizeInsideMask( m_Parameters.m_NonFiberModelList[1]->GetVolumeFractionImage() ) ); inverter->SetInput( m_Parameters.m_NonFiberModelList[1]->GetVolumeFractionImage() ); inverter->Update(); m_Parameters.m_NonFiberModelList[0]->SetVolumeFractionImage(inverter->GetOutput()); } else if ( m_Parameters.m_NonFiberModelList[1]->GetVolumeFractionImage().IsNull() && m_Parameters.m_NonFiberModelList[0]->GetVolumeFractionImage().IsNotNull() ) { // m_Parameters.m_NonFiberModelList[0]->SetVolumeFractionImage( NormalizeInsideMask( m_Parameters.m_NonFiberModelList[0]->GetVolumeFractionImage() ) ); inverter->SetInput( m_Parameters.m_NonFiberModelList[0]->GetVolumeFractionImage() ); inverter->Update(); m_Parameters.m_NonFiberModelList[1]->SetVolumeFractionImage(inverter->GetOutput()); } else { itkExceptionMacro("Something went wrong in automatically calculating the missing non-fiber volume fraction image! Did you use two non fiber compartments but only one volume fraction image? Then it should work and this error is really strange."); } nonfibVolImages++; } // Up to two fiber compartments are allowed without volume fraction maps since the volume fractions can then be determined automatically if (m_Parameters.m_FiberModelList.size()>2 && fibVolImages!=m_Parameters.m_FiberModelList.size()) itkExceptionMacro("More than two fiber compartment selected but no corresponding volume fraction maps set!"); // One non-fiber compartment is allowed without volume fraction map since the volume fraction can then be determined automatically if (m_Parameters.m_NonFiberModelList.size()>1 && nonfibVolImages!=m_Parameters.m_NonFiberModelList.size()) itkExceptionMacro("More than one non-fiber compartment selected but no volume fraction maps set!"); if (fibVolImages0) { m_StatusText += "Not all fiber compartments are using an associated volume fraction image.\nAssuming non-fiber volume fraction images to contain values relative to the remaining non-fiber volume, not absolute values.\n"; MITK_INFO << "Not all fiber compartments are using an associated volume fraction image.\nAssuming non-fiber volume fraction images to contain values relative to the remaining non-fiber volume, not absolute values."; m_UseRelativeNonFiberVolumeFractions = true; // itk::ImageFileWriter::Pointer wr = itk::ImageFileWriter::New(); // wr->SetInput(m_Parameters.m_NonFiberModelList[1]->GetVolumeFractionImage()); // wr->SetFileName("/local/volumefraction.nrrd"); // wr->Update(); } // initialize the images that store the output volume fraction of each compartment m_VolumeFractions.clear(); for (int i=0; iSetSpacing( m_WorkingSpacing ); doubleImg->SetOrigin( m_WorkingOrigin ); doubleImg->SetDirection( m_Parameters.m_SignalGen.m_ImageDirection ); doubleImg->SetLargestPossibleRegion( m_WorkingImageRegion ); doubleImg->SetBufferedRegion( m_WorkingImageRegion ); doubleImg->SetRequestedRegion( m_WorkingImageRegion ); doubleImg->Allocate(); doubleImg->FillBuffer(0); m_VolumeFractions.push_back(doubleImg); } } template< class PixelType > void TractsToDWIImageFilter< PixelType >::InitializeData() { // initialize output dwi image m_Parameters.m_SignalGen.m_CroppedRegion = m_Parameters.m_SignalGen.m_ImageRegion; m_Parameters.m_SignalGen.m_CroppedRegion.SetSize(1, m_Parameters.m_SignalGen.m_CroppedRegion.GetSize(1)*m_Parameters.m_SignalGen.m_CroppingFactor); itk::Point shiftedOrigin = m_Parameters.m_SignalGen.m_ImageOrigin; shiftedOrigin[1] += (m_Parameters.m_SignalGen.m_ImageRegion.GetSize(1)-m_Parameters.m_SignalGen.m_CroppedRegion.GetSize(1))*m_Parameters.m_SignalGen.m_ImageSpacing[1]/2; m_OutputImage = OutputImageType::New(); m_OutputImage->SetSpacing( m_Parameters.m_SignalGen.m_ImageSpacing ); m_OutputImage->SetOrigin( shiftedOrigin ); m_OutputImage->SetDirection( m_Parameters.m_SignalGen.m_ImageDirection ); m_OutputImage->SetLargestPossibleRegion( m_Parameters.m_SignalGen.m_CroppedRegion ); m_OutputImage->SetBufferedRegion( m_Parameters.m_SignalGen.m_CroppedRegion ); m_OutputImage->SetRequestedRegion( m_Parameters.m_SignalGen.m_CroppedRegion ); m_OutputImage->SetVectorLength( m_Parameters.m_SignalGen.GetNumVolumes() ); m_OutputImage->Allocate(); typename OutputImageType::PixelType temp; temp.SetSize(m_Parameters.m_SignalGen.GetNumVolumes()); temp.Fill(0.0); m_OutputImage->FillBuffer(temp); //// NOT NECESSARY ANYMORE // if ( m_Parameters.m_SignalGen.m_CroppedRegion.GetSize(0)%2 == 1 ) // m_Parameters.m_SignalGen.m_CroppedRegion.SetSize(0, m_Parameters.m_SignalGen.m_CroppedRegion.GetSize(0)+1); // if ( m_Parameters.m_SignalGen.m_CroppedRegion.GetSize(1)%2 == 1 ) // m_Parameters.m_SignalGen.m_CroppedRegion.SetSize(1, m_Parameters.m_SignalGen.m_CroppedRegion.GetSize(1)+1); // // ADJUST GEOMETRY FOR FURTHER PROCESSING // // is input slize size a power of two? // unsigned int x=m_Parameters.m_SignalGen.m_ImageRegion.GetSize(0); unsigned int y=m_Parameters.m_SignalGen.m_ImageRegion.GetSize(1); // ItkDoubleImgType::SizeType pad; pad[0]=x%2; pad[1]=y%2; pad[2]=0; // m_Parameters.m_SignalGen.m_ImageRegion.SetSize(0, x+pad[0]); // m_Parameters.m_SignalGen.m_ImageRegion.SetSize(1, y+pad[1]); // if (m_Parameters.m_SignalGen.m_FrequencyMap.IsNotNull() && (pad[0]>0 || pad[1]>0)) // { // itk::ConstantPadImageFilter::Pointer zeroPadder = itk::ConstantPadImageFilter::New(); // zeroPadder->SetInput(m_Parameters.m_SignalGen.m_FrequencyMap); // zeroPadder->SetConstant(0); // zeroPadder->SetPadUpperBound(pad); // zeroPadder->Update(); // m_Parameters.m_SignalGen.m_FrequencyMap = zeroPadder->GetOutput(); // } // if (m_Parameters.m_SignalGen.m_MaskImage.IsNotNull() && (pad[0]>0 || pad[1]>0)) // { // itk::ConstantPadImageFilter::Pointer zeroPadder = itk::ConstantPadImageFilter::New(); // zeroPadder->SetInput(m_Parameters.m_SignalGen.m_MaskImage); // zeroPadder->SetConstant(0); // zeroPadder->SetPadUpperBound(pad); // zeroPadder->Update(); // m_Parameters.m_SignalGen.m_MaskImage = zeroPadder->GetOutput(); // } // Apply in-plane upsampling for Gibbs ringing artifact double upsampling = 1; if (m_Parameters.m_SignalGen.m_DoAddGibbsRinging) upsampling = 2; m_WorkingSpacing = m_Parameters.m_SignalGen.m_ImageSpacing; m_WorkingSpacing[0] /= upsampling; m_WorkingSpacing[1] /= upsampling; m_WorkingImageRegion = m_Parameters.m_SignalGen.m_ImageRegion; m_WorkingImageRegion.SetSize(0, m_Parameters.m_SignalGen.m_ImageRegion.GetSize()[0]*upsampling); m_WorkingImageRegion.SetSize(1, m_Parameters.m_SignalGen.m_ImageRegion.GetSize()[1]*upsampling); m_WorkingOrigin = m_Parameters.m_SignalGen.m_ImageOrigin; m_WorkingOrigin[0] -= m_Parameters.m_SignalGen.m_ImageSpacing[0]/2; m_WorkingOrigin[0] += m_WorkingSpacing[0]/2; m_WorkingOrigin[1] -= m_Parameters.m_SignalGen.m_ImageSpacing[1]/2; m_WorkingOrigin[1] += m_WorkingSpacing[1]/2; m_WorkingOrigin[2] -= m_Parameters.m_SignalGen.m_ImageSpacing[2]/2; m_WorkingOrigin[2] += m_WorkingSpacing[2]/2; m_VoxelVolume = m_WorkingSpacing[0]*m_WorkingSpacing[1]*m_WorkingSpacing[2]; // generate double images to store the individual compartment signals m_CompartmentImages.clear(); int numFiberCompartments = m_Parameters.m_FiberModelList.size(); int numNonFiberCompartments = m_Parameters.m_NonFiberModelList.size(); for (int i=0; iSetSpacing( m_WorkingSpacing ); doubleDwi->SetOrigin( m_WorkingOrigin ); doubleDwi->SetDirection( m_Parameters.m_SignalGen.m_ImageDirection ); doubleDwi->SetLargestPossibleRegion( m_WorkingImageRegion ); doubleDwi->SetBufferedRegion( m_WorkingImageRegion ); doubleDwi->SetRequestedRegion( m_WorkingImageRegion ); doubleDwi->SetVectorLength( m_Parameters.m_SignalGen.GetNumVolumes() ); doubleDwi->Allocate(); DoubleDwiType::PixelType pix; pix.SetSize(m_Parameters.m_SignalGen.GetNumVolumes()); pix.Fill(0.0); doubleDwi->FillBuffer(pix); m_CompartmentImages.push_back(doubleDwi); } // resample mask image and frequency map to fit upsampled geometry if (m_Parameters.m_SignalGen.m_DoAddGibbsRinging) { if (m_Parameters.m_SignalGen.m_MaskImage.IsNotNull()) { // rescale mask image (otherwise there are problems with the resampling) itk::RescaleIntensityImageFilter::Pointer rescaler = itk::RescaleIntensityImageFilter::New(); rescaler->SetInput(0,m_Parameters.m_SignalGen.m_MaskImage); rescaler->SetOutputMaximum(100); rescaler->SetOutputMinimum(0); rescaler->Update(); // resample mask image itk::ResampleImageFilter::Pointer resampler = itk::ResampleImageFilter::New(); resampler->SetInput(rescaler->GetOutput()); resampler->SetOutputParametersFromImage(m_Parameters.m_SignalGen.m_MaskImage); resampler->SetSize(m_WorkingImageRegion.GetSize()); resampler->SetOutputSpacing(m_WorkingSpacing); resampler->SetOutputOrigin(m_WorkingOrigin); itk::NearestNeighborInterpolateImageFunction::Pointer nn_interpolator = itk::NearestNeighborInterpolateImageFunction::New(); resampler->SetInterpolator(nn_interpolator); resampler->Update(); m_Parameters.m_SignalGen.m_MaskImage = resampler->GetOutput(); } // resample frequency map if (m_Parameters.m_SignalGen.m_FrequencyMap.IsNotNull()) { itk::ResampleImageFilter::Pointer resampler = itk::ResampleImageFilter::New(); resampler->SetInput(m_Parameters.m_SignalGen.m_FrequencyMap); resampler->SetOutputParametersFromImage(m_Parameters.m_SignalGen.m_FrequencyMap); resampler->SetSize(m_WorkingImageRegion.GetSize()); resampler->SetOutputSpacing(m_WorkingSpacing); resampler->SetOutputOrigin(m_WorkingOrigin); itk::NearestNeighborInterpolateImageFunction::Pointer nn_interpolator = itk::NearestNeighborInterpolateImageFunction::New(); resampler->SetInterpolator(nn_interpolator); resampler->Update(); m_Parameters.m_SignalGen.m_FrequencyMap = resampler->GetOutput(); } } m_MaskImageSet = true; if (m_Parameters.m_SignalGen.m_MaskImage.IsNull()) { // no input tissue mask is set -> create default m_StatusText += "No tissue mask set\n"; MITK_INFO << "No tissue mask set"; m_Parameters.m_SignalGen.m_MaskImage = ItkUcharImgType::New(); m_Parameters.m_SignalGen.m_MaskImage->SetSpacing( m_WorkingSpacing ); m_Parameters.m_SignalGen.m_MaskImage->SetOrigin( m_WorkingOrigin ); m_Parameters.m_SignalGen.m_MaskImage->SetDirection( m_Parameters.m_SignalGen.m_ImageDirection ); m_Parameters.m_SignalGen.m_MaskImage->SetLargestPossibleRegion( m_WorkingImageRegion ); m_Parameters.m_SignalGen.m_MaskImage->SetBufferedRegion( m_WorkingImageRegion ); m_Parameters.m_SignalGen.m_MaskImage->SetRequestedRegion( m_WorkingImageRegion ); m_Parameters.m_SignalGen.m_MaskImage->Allocate(); m_Parameters.m_SignalGen.m_MaskImage->FillBuffer(100); m_MaskImageSet = false; } else { if (m_Parameters.m_SignalGen.m_MaskImage->GetLargestPossibleRegion()!=m_WorkingImageRegion) itkExceptionMacro("Mask image and specified DWI geometry are not matching!"); m_StatusText += "Using tissue mask\n"; MITK_INFO << "Using tissue mask"; } if (m_Parameters.m_SignalGen.m_DoAddMotion) { std::string fileName = "fiberfox_motion_0.log"; std::string filePath = mitk::IOUtil::GetTempPath(); if (m_Parameters.m_Misc.m_OutputPath.size()>0) filePath = m_Parameters.m_Misc.m_OutputPath; int c = 1; while (itksys::SystemTools::FileExists((filePath+fileName).c_str())) { fileName = "fiberfox_motion_"; fileName += boost::lexical_cast(c); fileName += ".log"; c++; } - m_Logfile.open((filePath+fileName).c_str()); - m_Logfile << "0 rotation: 0,0,0; translation: 0,0,0\n"; - + m_MotionLogfile.open((filePath+fileName).c_str()); if (m_Parameters.m_SignalGen.m_DoRandomizeMotion) { m_StatusText += "Adding random motion artifacts:\n"; m_StatusText += "Maximum rotation: +/-" + boost::lexical_cast(m_Parameters.m_SignalGen.m_Rotation) + "°\n"; m_StatusText += "Maximum translation: +/-" + boost::lexical_cast(m_Parameters.m_SignalGen.m_Translation) + "mm\n"; } else { m_StatusText += "Adding linear motion artifacts:\n"; m_StatusText += "Maximum rotation: " + boost::lexical_cast(m_Parameters.m_SignalGen.m_Rotation) + "°\n"; m_StatusText += "Maximum translation: " + boost::lexical_cast(m_Parameters.m_SignalGen.m_Translation) + "mm\n"; } m_StatusText += "Motion logfile: " + (filePath+fileName) + "\n"; MITK_INFO << "Adding motion artifacts"; MITK_INFO << "Maximum rotation: " << m_Parameters.m_SignalGen.m_Rotation; MITK_INFO << "Maxmimum translation: " << m_Parameters.m_SignalGen.m_Translation; MITK_INFO << "Motion logfile: " << filePath << fileName; } + if ( m_Parameters.m_SignalGen.m_MotionVolumes.empty() ) + { + // no motion in first volume + m_Parameters.m_SignalGen.m_MotionVolumes.push_back(false); - // get transform for motion artifacts - m_Rotation.Fill(0.0); - m_Translation.Fill(0.0); - m_Rotations.push_back(m_Rotation); - m_Translations.push_back(m_Translation); - m_Rotation = m_Parameters.m_SignalGen.m_Rotation/m_Parameters.m_SignalGen.GetNumVolumes(); - m_Translation = m_Parameters.m_SignalGen.m_Translation/m_Parameters.m_SignalGen.GetNumVolumes(); + // motion in all other volumes + while ( m_Parameters.m_SignalGen.m_MotionVolumes.size()::Pointer duplicator = itk::ImageDuplicator::New(); duplicator->SetInputImage(m_Parameters.m_SignalGen.m_MaskImage); duplicator->Update(); m_TransformedMaskImage = duplicator->GetOutput(); // second upsampling needed for motion artifacts ImageRegion<3> upsampledImageRegion = m_WorkingImageRegion; DoubleVectorType upsampledSpacing = m_WorkingSpacing; upsampledSpacing[0] /= 4; upsampledSpacing[1] /= 4; upsampledSpacing[2] /= 4; upsampledImageRegion.SetSize(0, m_WorkingImageRegion.GetSize()[0]*4); upsampledImageRegion.SetSize(1, m_WorkingImageRegion.GetSize()[1]*4); upsampledImageRegion.SetSize(2, m_WorkingImageRegion.GetSize()[2]*4); itk::Point upsampledOrigin = m_WorkingOrigin; upsampledOrigin[0] -= m_WorkingSpacing[0]/2; upsampledOrigin[0] += upsampledSpacing[0]/2; upsampledOrigin[1] -= m_WorkingSpacing[1]/2; upsampledOrigin[1] += upsampledSpacing[1]/2; upsampledOrigin[2] -= m_WorkingSpacing[2]/2; upsampledOrigin[2] += upsampledSpacing[2]/2; m_UpsampledMaskImage = ItkUcharImgType::New(); itk::ResampleImageFilter::Pointer upsampler = itk::ResampleImageFilter::New(); upsampler->SetInput(m_Parameters.m_SignalGen.m_MaskImage); upsampler->SetOutputParametersFromImage(m_Parameters.m_SignalGen.m_MaskImage); upsampler->SetSize(upsampledImageRegion.GetSize()); upsampler->SetOutputSpacing(upsampledSpacing); upsampler->SetOutputOrigin(upsampledOrigin); itk::NearestNeighborInterpolateImageFunction::Pointer nn_interpolator = itk::NearestNeighborInterpolateImageFunction::New(); upsampler->SetInterpolator(nn_interpolator); upsampler->Update(); m_UpsampledMaskImage = upsampler->GetOutput(); } template< class PixelType > void TractsToDWIImageFilter< PixelType >::InitializeFiberData() { // resample fiber bundle for sufficient voxel coverage m_StatusText += "\n"+this->GetTime()+" > Resampling fibers ...\n"; m_SegmentVolume = 0.0001; float minSpacing = 1; if(m_WorkingSpacing[0]GetDeepCopy(); // working copy is needed because we need to resample the fibers but do not want to change the original bundle double volumeAccuracy = 10; m_FiberBundleWorkingCopy->ResampleSpline(minSpacing/volumeAccuracy); m_mmRadius = m_Parameters.m_SignalGen.m_AxonRadius/1000; if (m_mmRadius>0) m_SegmentVolume = M_PI*m_mmRadius*m_mmRadius*minSpacing/volumeAccuracy; m_FiberBundleTransformed = m_FiberBundleWorkingCopy; // a secon fiber bundle is needed to store the transformed version of the m_FiberBundleWorkingCopy } template< class PixelType > void TractsToDWIImageFilter< PixelType >::GenerateData() { m_TimeProbe.Start(); m_StatusText = "Starting simulation\n"; // check input data if (m_FiberBundle.IsNull()) itkExceptionMacro("Input fiber bundle is NULL!"); if (m_Parameters.m_FiberModelList.empty()) itkExceptionMacro("No diffusion model for fiber compartments defined! At least one fiber compartment is necessary."); if (m_Parameters.m_NonFiberModelList.empty()) itkExceptionMacro("No diffusion model for non-fiber compartments defined! At least one non-fiber compartment is necessary."); int baselineIndex = m_Parameters.m_SignalGen.GetFirstBaselineIndex(); if (baselineIndex<0) itkExceptionMacro("No baseline index found!"); if (!m_Parameters.m_SignalGen.m_SimulateKspaceAcquisition) // No upsampling of input image needed if no k-space simulation is performed m_Parameters.m_SignalGen.m_DoAddGibbsRinging = false; if (m_UseConstantRandSeed) // always generate the same random numbers? m_RandGen->SetSeed(0); else m_RandGen->SetSeed(); InitializeData(); CheckVolumeFractionImages(); InitializeFiberData(); int numFiberCompartments = m_Parameters.m_FiberModelList.size(); int numNonFiberCompartments = m_Parameters.m_NonFiberModelList.size(); double maxVolume = 0; unsigned long lastTick = 0; int signalModelSeed = m_RandGen->GetIntegerVariate(); m_StatusText += "\n"+this->GetTime()+" > Generating " + boost::lexical_cast(numFiberCompartments+numNonFiberCompartments) + "-compartment diffusion-weighted signal.\n"; MITK_INFO << "Generating " << numFiberCompartments+numNonFiberCompartments << "-compartment diffusion-weighted signal."; int numFibers = m_FiberBundleWorkingCopy->GetNumFibers(); boost::progress_display disp(numFibers*m_Parameters.m_SignalGen.GetNumVolumes()); switch (m_Parameters.m_SignalGen.m_DiffusionDirectionMode) { case(SignalGenerationParameters::FIBER_TANGENT_DIRECTIONS): // use fiber tangent directions to determine diffusion direction { m_StatusText += "0% 10 20 30 40 50 60 70 80 90 100%\n"; m_StatusText += "|----|----|----|----|----|----|----|----|----|----|\n*"; for (unsigned int g=0; gSetSeed(signalModelSeed); for (int i=0; iSetSeed(signalModelSeed); // storing voxel-wise intra-axonal volume in mm³ ItkDoubleImgType::Pointer intraAxonalVolumeImage = ItkDoubleImgType::New(); intraAxonalVolumeImage->SetSpacing( m_WorkingSpacing ); intraAxonalVolumeImage->SetOrigin( m_WorkingOrigin ); intraAxonalVolumeImage->SetDirection( m_Parameters.m_SignalGen.m_ImageDirection ); intraAxonalVolumeImage->SetLargestPossibleRegion( m_WorkingImageRegion ); intraAxonalVolumeImage->SetBufferedRegion( m_WorkingImageRegion ); intraAxonalVolumeImage->SetRequestedRegion( m_WorkingImageRegion ); intraAxonalVolumeImage->Allocate(); intraAxonalVolumeImage->FillBuffer(0); maxVolume = 0; vtkPolyData* fiberPolyData = m_FiberBundleTransformed->GetFiberPolyData(); // generate fiber signal (if there are any fiber models present) if (!m_Parameters.m_FiberModelList.empty()) for( int i=0; iGetFiberWeight(i); vtkCell* cell = fiberPolyData->GetCell(i); int numPoints = cell->GetNumberOfPoints(); vtkPoints* points = cell->GetPoints(); if (numPoints<2) continue; for( int j=0; jGetAbortGenerateData()) { m_StatusText += "\n"+this->GetTime()+" > Simulation aborted\n"; return; } double* temp = points->GetPoint(j); itk::Point vertex = GetItkPoint(temp); itk::Vector v = GetItkVector(temp); itk::Vector dir(3); if (jGetPoint(j+1))-v; else dir = v-GetItkVector(points->GetPoint(j-1)); if (dir.GetSquaredNorm()<0.0001 || dir[0]!=dir[0] || dir[1]!=dir[1] || dir[2]!=dir[2]) continue; itk::Index<3> idx; itk::ContinuousIndex contIndex; m_TransformedMaskImage->TransformPhysicalPointToIndex(vertex, idx); m_TransformedMaskImage->TransformPhysicalPointToContinuousIndex(vertex, contIndex); if (!m_TransformedMaskImage->GetLargestPossibleRegion().IsInside(idx) || m_TransformedMaskImage->GetPixel(idx)<=0) continue; // generate signal for each fiber compartment for (int k=0; kSetFiberDirection(dir); DoubleDwiType::PixelType pix = m_CompartmentImages.at(k)->GetPixel(idx); pix[g] += fiberWeight*m_SegmentVolume*m_Parameters.m_FiberModelList[k]->SimulateMeasurement(g); m_CompartmentImages.at(k)->SetPixel(idx, pix); } // update fiber volume image double vol = intraAxonalVolumeImage->GetPixel(idx) + m_SegmentVolume*fiberWeight; intraAxonalVolumeImage->SetPixel(idx, vol); if (vol>maxVolume) // we assume that the first volume is always unweighted! maxVolume = vol; } // progress report ++disp; unsigned long newTick = 50*disp.count()/disp.expected_count(); for (unsigned int tick = 0; tick<(newTick-lastTick); tick++) m_StatusText += "*"; lastTick = newTick; } // generate non-fiber signal ImageRegionIterator it3(m_TransformedMaskImage, m_TransformedMaskImage->GetLargestPossibleRegion()); double fact = 1; // density correction factor in mm³ if (m_Parameters.m_SignalGen.m_AxonRadius<0.0001 || maxVolume>m_VoxelVolume) // the fullest voxel is always completely full fact = m_VoxelVolume/maxVolume; while(!it3.IsAtEnd()) { if (it3.Get()>0) { DoubleDwiType::IndexType index = it3.GetIndex(); itk::Point point; m_TransformedMaskImage->TransformIndexToPhysicalPoint(index, point); - if (m_Parameters.m_SignalGen.m_DoAddMotion) + if (m_Parameters.m_SignalGen.m_DoAddMotion && g>=0 && m_Parameters.m_SignalGen.m_MotionVolumes[g]) { - if (m_Parameters.m_SignalGen.m_DoRandomizeMotion && g>0) + if (m_Parameters.m_SignalGen.m_DoRandomizeMotion) point = m_FiberBundleWorkingCopy->TransformPoint(point.GetVnlVector(), -m_Rotation[0],-m_Rotation[1],-m_Rotation[2],-m_Translation[0],-m_Translation[1],-m_Translation[2]); - else if (g>=0) - point = m_FiberBundleWorkingCopy->TransformPoint(point.GetVnlVector(), -m_Rotation[0]*g,-m_Rotation[1]*g,-m_Rotation[2]*g,-m_Translation[0]*g,-m_Translation[1]*g,-m_Translation[2]*g); + else + point = m_FiberBundleWorkingCopy->TransformPoint(point.GetVnlVector(), -m_Rotation[0]*m_MotionCounter,-m_Rotation[1]*m_MotionCounter,-m_Rotation[2]*m_MotionCounter,-m_Translation[0]*m_MotionCounter,-m_Translation[1]*m_MotionCounter,-m_Translation[2]*m_MotionCounter); } double iAxVolume = intraAxonalVolumeImage->GetPixel(index); // if volume fraction image is set use it, otherwise use scaling factor to obtain one full fiber voxel double fact2 = fact; if (m_Parameters.m_FiberModelList[0]->GetVolumeFractionImage()!=nullptr && iAxVolume>0.0001) { - DoubleDwiType::IndexType newIndex; - m_Parameters.m_FiberModelList[0]->GetVolumeFractionImage()->TransformPhysicalPointToIndex(point, newIndex); - if (m_Parameters.m_FiberModelList[0]->GetVolumeFractionImage()->GetLargestPossibleRegion().IsInside(newIndex)) - fact2 = m_VoxelVolume*m_Parameters.m_FiberModelList[0]->GetVolumeFractionImage()->GetPixel(newIndex)/iAxVolume; +// DoubleDwiType::IndexType newIndex; +// m_Parameters.m_FiberModelList[0]->GetVolumeFractionImage()->TransformPhysicalPointToIndex(point, newIndex); +// if (m_Parameters.m_FiberModelList[0]->GetVolumeFractionImage()->GetLargestPossibleRegion().IsInside(newIndex)) +// fact2 = m_VoxelVolume*m_Parameters.m_FiberModelList[0]->GetVolumeFractionImage()->GetPixel(newIndex)/iAxVolume; + + double val = InterpolateValue(point, m_Parameters.m_FiberModelList[0]->GetVolumeFractionImage()); + if (val>=0) + fact2 = m_VoxelVolume*val/iAxVolume; } // adjust intra-axonal image value for (int i=0; iGetPixel(index); pix[g] *= fact2; m_CompartmentImages.at(i)->SetPixel(index, pix); } // simulate other compartments SimulateExtraAxonalSignal(index, iAxVolume*fact2, g); } ++it3; } - - // move fibers - SimulateMotion(g); } break; } case (SignalGenerationParameters::MAIN_FIBER_DIRECTIONS): // use main fiber directions to determine voxel-wise diffusion directions { typedef itk::Image< itk::Vector< float, 3>, 3 > ItkDirectionImage3DType; typedef itk::VectorContainer< unsigned int, ItkDirectionImage3DType::Pointer > ItkDirectionImageContainerType; // calculate main fiber directions itk::TractsToVectorImageFilter::Pointer fOdfFilter = itk::TractsToVectorImageFilter::New(); fOdfFilter->SetFiberBundle(m_FiberBundleTransformed); fOdfFilter->SetMaskImage(m_TransformedMaskImage); fOdfFilter->SetAngularThreshold(cos(m_Parameters.m_SignalGen.m_FiberSeparationThreshold*M_PI/180.0)); fOdfFilter->SetNormalizeVectors(false); fOdfFilter->SetUseWorkingCopy(true); fOdfFilter->SetSizeThreshold(0); fOdfFilter->SetMaxNumDirections(3); fOdfFilter->Update(); ItkDirectionImageContainerType::Pointer directionImageContainer = fOdfFilter->GetDirectionImageContainer(); // allocate image storing intra-axonal volume fraction information ItkDoubleImgType::Pointer intraAxonalVolumeImage = ItkDoubleImgType::New(); intraAxonalVolumeImage->SetSpacing( m_WorkingSpacing ); intraAxonalVolumeImage->SetOrigin( m_WorkingOrigin ); intraAxonalVolumeImage->SetDirection( m_Parameters.m_SignalGen.m_ImageDirection ); intraAxonalVolumeImage->SetLargestPossibleRegion( m_WorkingImageRegion ); intraAxonalVolumeImage->SetBufferedRegion( m_WorkingImageRegion ); intraAxonalVolumeImage->SetRequestedRegion( m_WorkingImageRegion ); intraAxonalVolumeImage->Allocate(); intraAxonalVolumeImage->FillBuffer(0); // determine intra-axonal volume fraction using the tract density itk::TractDensityImageFilter< ItkDoubleImgType >::Pointer tdiFilter = itk::TractDensityImageFilter< ItkDoubleImgType >::New(); tdiFilter->SetFiberBundle(m_FiberBundleTransformed); tdiFilter->SetBinaryOutput(false); tdiFilter->SetOutputAbsoluteValues(false); tdiFilter->SetInputImage(intraAxonalVolumeImage); tdiFilter->SetUseImageGeometry(true); tdiFilter->Update(); intraAxonalVolumeImage = tdiFilter->GetOutput(); m_StatusText += "0% 10 20 30 40 50 60 70 80 90 100%\n"; m_StatusText += "|----|----|----|----|----|----|----|----|----|----|\n*"; boost::progress_display disp(m_TransformedMaskImage->GetLargestPossibleRegion().GetNumberOfPixels()*m_Parameters.m_SignalGen.GetNumVolumes()); for (unsigned int g=0; gSetSeed(signalModelSeed); for (int i=0; iSetSeed(signalModelSeed); if (m_Parameters.m_SignalGen.m_DoAddMotion && g>0) // if fibers have moved we need a new TDI and new directions { fOdfFilter->SetFiberBundle(m_FiberBundleTransformed); fOdfFilter->SetMaskImage(m_TransformedMaskImage); fOdfFilter->Update(); directionImageContainer = fOdfFilter->GetDirectionImageContainer(); tdiFilter->SetFiberBundle(m_FiberBundleTransformed); tdiFilter->Update(); intraAxonalVolumeImage = tdiFilter->GetOutput(); } ImageRegionIterator< ItkUcharImgType > it(m_TransformedMaskImage, m_TransformedMaskImage->GetLargestPossibleRegion()); while(!it.IsAtEnd()) { ++disp; unsigned long newTick = 50*disp.count()/disp.expected_count(); for (unsigned int tick = 0; tick<(newTick-lastTick); tick++) m_StatusText += "*"; lastTick = newTick; if (this->GetAbortGenerateData()) { m_StatusText += "\n"+this->GetTime()+" > Simulation aborted\n"; return; } if (it.Get()>0) { // generate fiber signal for (int c=0; cGetPixel(it.GetIndex()); for (unsigned int i=0; iSize(); i++) { itk::Vector< double, 3> dir; dir.CastFrom(directionImageContainer->GetElement(i)->GetPixel(it.GetIndex())); double norm = dir.GetNorm(); if (norm>0.0001) { m_Parameters.m_FiberModelList.at(c)->SetFiberDirection(dir); pix[g] += m_Parameters.m_FiberModelList.at(c)->SimulateMeasurement(g)*norm; count++; } } if (count>0) pix[g] /= count; pix[g] *= intraAxonalVolumeImage->GetPixel(it.GetIndex())*m_VoxelVolume; m_CompartmentImages.at(c)->SetPixel(it.GetIndex(), pix); } // simulate other compartments SimulateExtraAxonalSignal(it.GetIndex(), intraAxonalVolumeImage->GetPixel(it.GetIndex())*m_VoxelVolume, g); } ++it; } SimulateMotion(g); } itk::ImageFileWriter< ItkUcharImgType >::Pointer wr = itk::ImageFileWriter< ItkUcharImgType >::New(); wr->SetInput(fOdfFilter->GetNumDirectionsImage()); wr->SetFileName(mitk::IOUtil::GetTempPath()+"/NumDirections_MainFiberDirections.nrrd"); wr->Update(); break; } case (SignalGenerationParameters::RANDOM_DIRECTIONS): { ItkUcharImgType::Pointer numDirectionsImage = ItkUcharImgType::New(); numDirectionsImage->SetSpacing( m_WorkingSpacing ); numDirectionsImage->SetOrigin( m_WorkingOrigin ); numDirectionsImage->SetDirection( m_Parameters.m_SignalGen.m_ImageDirection ); numDirectionsImage->SetLargestPossibleRegion( m_WorkingImageRegion ); numDirectionsImage->SetBufferedRegion( m_WorkingImageRegion ); numDirectionsImage->SetRequestedRegion( m_WorkingImageRegion ); numDirectionsImage->Allocate(); numDirectionsImage->FillBuffer(0); double sepAngle = cos(m_Parameters.m_SignalGen.m_FiberSeparationThreshold*M_PI/180.0); m_StatusText += "0% 10 20 30 40 50 60 70 80 90 100%\n"; m_StatusText += "|----|----|----|----|----|----|----|----|----|----|\n*"; boost::progress_display disp(m_TransformedMaskImage->GetLargestPossibleRegion().GetNumberOfPixels()); ImageRegionIterator it(m_TransformedMaskImage, m_TransformedMaskImage->GetLargestPossibleRegion()); while(!it.IsAtEnd()) { ++disp; unsigned long newTick = 50*disp.count()/disp.expected_count(); for (unsigned int tick = 0; tick<(newTick-lastTick); tick++) m_StatusText += "*"; lastTick = newTick; if (this->GetAbortGenerateData()) { m_StatusText += "\n"+this->GetTime()+" > Simulation aborted\n"; return; } if (it.Get()>0) { int numFibs = m_RandGen->GetIntegerVariate(2)+1; DoubleDwiType::PixelType pix = m_CompartmentImages.at(0)->GetPixel(it.GetIndex()); double volume = m_RandGen->GetVariateWithClosedRange(0.3); // double sum = 0; std::vector< double > fractions; for (int i=0; iGetVariateWithClosedRange(0.5)); // sum += fractions.at(i); } // for (int i=0; i > directions; for (int i=0; iGetVariateWithClosedRange(2)-1.0; fib[1] = m_RandGen->GetVariateWithClosedRange(2)-1.0; fib[2] = m_RandGen->GetVariateWithClosedRange(2)-1.0; fib.Normalize(); double min = 0; for (unsigned int d=0; dmin) min = angle; } if (minSetFiberDirection(fib); pix += m_Parameters.m_FiberModelList.at(0)->SimulateMeasurement()*fractions[i]; directions.push_back(fib); } else i--; } pix *= (1-volume); m_CompartmentImages.at(0)->SetPixel(it.GetIndex(), pix); // CSF/GM { pix += volume*m_Parameters.m_NonFiberModelList.at(0)->SimulateMeasurement(); } numDirectionsImage->SetPixel(it.GetIndex(), numFibs); } ++it; } itk::ImageFileWriter< ItkUcharImgType >::Pointer wr = itk::ImageFileWriter< ItkUcharImgType >::New(); wr->SetInput(numDirectionsImage); wr->SetFileName(mitk::IOUtil::GetTempPath()+"/NumDirections_RandomDirections.nrrd"); wr->Update(); } } - if (m_Logfile.is_open()) + if (m_MotionLogfile.is_open()) { - m_Logfile << "DONE"; - m_Logfile.close(); + m_MotionLogfile << "DONE"; + m_MotionLogfile.close(); } m_StatusText += "\n\n"; if (this->GetAbortGenerateData()) { m_StatusText += "\n"+this->GetTime()+" > Simulation aborted\n"; return; } DoubleDwiType::Pointer doubleOutImage; double signalScale = m_Parameters.m_SignalGen.m_SignalScale; if ( m_Parameters.m_SignalGen.m_SimulateKspaceAcquisition ) // do k-space stuff { m_StatusText += this->GetTime()+" > Simulating k-space acquisition using "+boost::lexical_cast(m_Parameters.m_SignalGen.m_NumberOfCoils)+" coil(s)\n"; MITK_INFO << "Simulating k-space acquisition using " << m_Parameters.m_SignalGen.m_NumberOfCoils << " coil(s)."; switch (m_Parameters.m_SignalGen.m_AcquisitionType) { case SignalGenerationParameters::SingleShotEpi: m_StatusText += "Acquisition type: single shot EPI\n"; break; case SignalGenerationParameters::Cartesian: m_StatusText += "Acquisition type: classic spin echo with cartesian k-space trajectory\n"; break; default: m_StatusText += "Acquisition type: single shot EPI\n"; } if (m_Parameters.m_SignalGen.m_DoSimulateRelaxation) m_StatusText += "Simulating signal relaxation\n"; if (m_Parameters.m_SignalGen.m_FrequencyMap.IsNotNull()) m_StatusText += "Simulating distortions\n"; if (m_Parameters.m_SignalGen.m_DoAddGibbsRinging) m_StatusText += "Simulating ringing artifacts\n"; if (m_Parameters.m_SignalGen.m_EddyStrength>0) m_StatusText += "Simulating eddy currents\n"; if (m_Parameters.m_SignalGen.m_Spikes>0) m_StatusText += "Simulating spikes\n"; if (m_Parameters.m_SignalGen.m_CroppingFactor<1.0) m_StatusText += "Simulating aliasing artifacts\n"; if (m_Parameters.m_SignalGen.m_KspaceLineOffset>0) m_StatusText += "Simulating ghosts\n"; doubleOutImage = SimulateKspaceAcquisition(m_CompartmentImages); signalScale = 1; // already scaled in SimulateKspaceAcquisition() } else // don't do k-space stuff, just sum compartments { m_StatusText += this->GetTime()+" > Summing compartments\n"; MITK_INFO << "Summing compartments"; doubleOutImage = m_CompartmentImages.at(0); for (unsigned int i=1; i::Pointer adder = itk::AddImageFilter< DoubleDwiType, DoubleDwiType, DoubleDwiType>::New(); adder->SetInput1(doubleOutImage); adder->SetInput2(m_CompartmentImages.at(i)); adder->Update(); doubleOutImage = adder->GetOutput(); } } if (this->GetAbortGenerateData()) { m_StatusText += "\n"+this->GetTime()+" > Simulation aborted\n"; return; } m_StatusText += this->GetTime()+" > Finalizing image\n"; MITK_INFO << "Finalizing image"; if (signalScale>1) m_StatusText += " Scaling signal\n"; if (m_Parameters.m_NoiseModel!=NULL) m_StatusText += " Adding noise\n"; unsigned int window = 0; unsigned int min = itk::NumericTraits::max(); ImageRegionIterator it4 (m_OutputImage, m_OutputImage->GetLargestPossibleRegion()); DoubleDwiType::PixelType signal; signal.SetSize(m_Parameters.m_SignalGen.GetNumVolumes()); boost::progress_display disp2(m_OutputImage->GetLargestPossibleRegion().GetNumberOfPixels()); m_StatusText += "0% 10 20 30 40 50 60 70 80 90 100%\n"; m_StatusText += "|----|----|----|----|----|----|----|----|----|----|\n*"; lastTick = 0; while(!it4.IsAtEnd()) { if (this->GetAbortGenerateData()) { m_StatusText += "\n"+this->GetTime()+" > Simulation aborted\n"; return; } ++disp2; unsigned long newTick = 50*disp2.count()/disp2.expected_count(); for (unsigned long tick = 0; tick<(newTick-lastTick); tick++) m_StatusText += "*"; lastTick = newTick; typename OutputImageType::IndexType index = it4.GetIndex(); signal = doubleOutImage->GetPixel(index)*signalScale; if (m_Parameters.m_NoiseModel!=NULL) m_Parameters.m_NoiseModel->AddNoise(signal); for (unsigned int i=0; i0) signal[i] = floor(signal[i]+0.5); else signal[i] = ceil(signal[i]-0.5); if ( (!m_Parameters.m_SignalGen.IsBaselineIndex(i) || signal.Size()==1) && signal[i]>window) window = signal[i]; if ( (!m_Parameters.m_SignalGen.IsBaselineIndex(i) || signal.Size()==1) && signal[i]SetNthOutput(0, m_OutputImage); m_StatusText += "\n\n"; m_StatusText += "Finished simulation\n"; m_StatusText += "Simulation time: "+GetTime(); m_TimeProbe.Stop(); } template< class PixelType > void TractsToDWIImageFilter< PixelType >::SimulateMotion(int g) { - if (m_Parameters.m_SignalGen.m_DoAddMotion && gGetDeepCopy(); + m_FiberBundleTransformed = m_FiberBundleWorkingCopy->GetDeepCopy(); // either undo last transform or work on fresh copy of untransformed fibers m_Rotation[0] = m_RandGen->GetVariateWithClosedRange(m_Parameters.m_SignalGen.m_Rotation[0]*2)-m_Parameters.m_SignalGen.m_Rotation[0]; m_Rotation[1] = m_RandGen->GetVariateWithClosedRange(m_Parameters.m_SignalGen.m_Rotation[1]*2)-m_Parameters.m_SignalGen.m_Rotation[1]; m_Rotation[2] = m_RandGen->GetVariateWithClosedRange(m_Parameters.m_SignalGen.m_Rotation[2]*2)-m_Parameters.m_SignalGen.m_Rotation[2]; m_Translation[0] = m_RandGen->GetVariateWithClosedRange(m_Parameters.m_SignalGen.m_Translation[0]*2)-m_Parameters.m_SignalGen.m_Translation[0]; m_Translation[1] = m_RandGen->GetVariateWithClosedRange(m_Parameters.m_SignalGen.m_Translation[1]*2)-m_Parameters.m_SignalGen.m_Translation[1]; m_Translation[2] = m_RandGen->GetVariateWithClosedRange(m_Parameters.m_SignalGen.m_Translation[2]*2)-m_Parameters.m_SignalGen.m_Translation[2]; } + else + { + m_Rotation = m_Parameters.m_SignalGen.m_Rotation/m_NumMotionVolumes; + m_Translation = m_Parameters.m_SignalGen.m_Translation/m_NumMotionVolumes; + m_MotionCounter++; + } - // rotate mask image + // move mask image if (m_MaskImageSet) { ImageRegionIterator maskIt(m_UpsampledMaskImage, m_UpsampledMaskImage->GetLargestPossibleRegion()); m_TransformedMaskImage->FillBuffer(0); while(!maskIt.IsAtEnd()) { if (maskIt.Get()<=0) { ++maskIt; continue; } DoubleDwiType::IndexType index = maskIt.GetIndex(); itk::Point point; m_UpsampledMaskImage->TransformIndexToPhysicalPoint(index, point); if (m_Parameters.m_SignalGen.m_DoRandomizeMotion) point = m_FiberBundleWorkingCopy->TransformPoint(point.GetVnlVector(), m_Rotation[0],m_Rotation[1],m_Rotation[2],m_Translation[0],m_Translation[1],m_Translation[2]); else - point = m_FiberBundleWorkingCopy->TransformPoint(point.GetVnlVector(), m_Rotation[0]*(g+1),m_Rotation[1]*(g+1),m_Rotation[2]*(g+1),m_Translation[0]*(g+1),m_Translation[1]*(g+1),m_Translation[2]*(g+1)); + point = m_FiberBundleWorkingCopy->TransformPoint(point.GetVnlVector(), m_Rotation[0]*m_MotionCounter,m_Rotation[1]*m_MotionCounter,m_Rotation[2]*m_MotionCounter,m_Translation[0]*m_MotionCounter,m_Translation[1]*m_MotionCounter,m_Translation[2]*m_MotionCounter); m_TransformedMaskImage->TransformPhysicalPointToIndex(point, index); if (m_TransformedMaskImage->GetLargestPossibleRegion().IsInside(index)) m_TransformedMaskImage->SetPixel(index,100); ++maskIt; } } if (m_Parameters.m_SignalGen.m_DoRandomizeMotion) { m_Rotations.push_back(m_Rotation); m_Translations.push_back(m_Translation); + if (m_MotionLogfile.is_open()) + { + m_MotionLogfile << g << " rotation: " << m_Rotation[0] << "," << m_Rotation[1] << "," << m_Rotation[2] << ";"; + m_MotionLogfile << " translation: " << m_Translation[0] << "," << m_Translation[1] << "," << m_Translation[2] << "\n"; + } } else { - m_Rotations.push_back(m_Rotation*(g+1)); - m_Translations.push_back(m_Translation*(g+1)); + m_Rotations.push_back(m_Rotation*m_MotionCounter); + m_Translations.push_back(m_Translation*m_MotionCounter); + if (m_MotionLogfile.is_open()) + { + m_MotionLogfile << g << " rotation: " << m_Rotation[0]*m_MotionCounter << "," << m_Rotation[1]*m_MotionCounter << "," << m_Rotation[2]*m_MotionCounter << ";"; + m_MotionLogfile << " translation: " << m_Translation[0]*m_MotionCounter << "," << m_Translation[1]*m_MotionCounter << "," << m_Translation[2]*m_MotionCounter << "\n"; + } } - // rotate fibers - if (m_Logfile.is_open()) - { - m_Logfile << g+1 << " rotation: " << m_Rotation[0] << "," << m_Rotation[1] << "," << m_Rotation[2] << ";"; - m_Logfile << " translation: " << m_Translation[0] << "," << m_Translation[1] << "," << m_Translation[2] << "\n"; - } m_FiberBundleTransformed->TransformFibers(m_Rotation[0],m_Rotation[1],m_Rotation[2],m_Translation[0],m_Translation[1],m_Translation[2]); } + else + { + m_Rotation.Fill(0.0); + m_Translation.Fill(0.0); + m_Rotations.push_back(m_Rotation); + m_Translations.push_back(m_Translation); + m_MotionLogfile << g << " rotation: " << m_Rotation[0] << "," << m_Rotation[1] << "," << m_Rotation[2] << ";"; + m_MotionLogfile << " translation: " << m_Translation[0] << "," << m_Translation[1] << "," << m_Translation[2] << "\n"; + } } template< class PixelType > void TractsToDWIImageFilter< PixelType >::SimulateExtraAxonalSignal(ItkUcharImgType::IndexType index, double intraAxonalVolume, int g) { int numFiberCompartments = m_Parameters.m_FiberModelList.size(); int numNonFiberCompartments = m_Parameters.m_NonFiberModelList.size(); if (intraAxonalVolume>0.0001 && m_Parameters.m_SignalGen.m_DoDisablePartialVolume) // only fiber in voxel { DoubleDwiType::PixelType pix = m_CompartmentImages.at(0)->GetPixel(index); if (g>=0) pix[g] *= m_VoxelVolume/intraAxonalVolume; else pix *= m_VoxelVolume/intraAxonalVolume; m_CompartmentImages.at(0)->SetPixel(index, pix); if (g==0) m_VolumeFractions.at(0)->SetPixel(index, 1); for (int i=1; iGetPixel(index); if (g>=0) pix[g] = 0.0; else pix.Fill(0.0); m_CompartmentImages.at(i)->SetPixel(index, pix); } } else { if (g==0) m_VolumeFractions.at(0)->SetPixel(index, intraAxonalVolume/m_VoxelVolume); // get non-transformed point (remove headmotion tranformation) // this point can then be transformed to each of the original images, regardless of their geometry itk::Point point; m_TransformedMaskImage->TransformIndexToPhysicalPoint(index, point); - if (m_Parameters.m_SignalGen.m_DoAddMotion) + if (m_Parameters.m_SignalGen.m_DoAddMotion && g>=0 && m_Parameters.m_SignalGen.m_MotionVolumes[g]) { - if (m_Parameters.m_SignalGen.m_DoRandomizeMotion && g>0) + if (m_Parameters.m_SignalGen.m_DoRandomizeMotion) point = m_FiberBundleWorkingCopy->TransformPoint(point.GetVnlVector(), -m_Rotation[0],-m_Rotation[1],-m_Rotation[2],-m_Translation[0],-m_Translation[1],-m_Translation[2]); - else if (g>=0) - point = m_FiberBundleWorkingCopy->TransformPoint(point.GetVnlVector(), -m_Rotation[0]*g,-m_Rotation[1]*g,-m_Rotation[2]*g,-m_Translation[0]*g,-m_Translation[1]*g,-m_Translation[2]*g); + else + point = m_FiberBundleWorkingCopy->TransformPoint(point.GetVnlVector(), -m_Rotation[0]*m_MotionCounter,-m_Rotation[1]*m_MotionCounter,-m_Rotation[2]*m_MotionCounter,-m_Translation[0]*m_MotionCounter,-m_Translation[1]*m_MotionCounter,-m_Translation[2]*m_MotionCounter); } if (m_Parameters.m_SignalGen.m_DoDisablePartialVolume) { int maxVolumeIndex = 0; double maxWeight = 0; for (int i=0; i1) { // ItkUcharImgType::IndexType maskIndex; // m_UpsampledMaskImage->TransformPhysicalPointToIndex(point, maskIndex); // if (!m_UpsampledMaskImage->GetLargestPossibleRegion().IsInside(maskIndex) || m_UpsampledMaskImage->GetPixel(maskIndex)==0) // continue; - DoubleDwiType::IndexType newIndex; - m_Parameters.m_NonFiberModelList[i]->GetVolumeFractionImage()->TransformPhysicalPointToIndex(point, newIndex); - if (!m_Parameters.m_NonFiberModelList[i]->GetVolumeFractionImage()->GetLargestPossibleRegion().IsInside(newIndex)) +// DoubleDwiType::IndexType newIndex; +// m_Parameters.m_NonFiberModelList[i]->GetVolumeFractionImage()->TransformPhysicalPointToIndex(point, newIndex); +// if (!m_Parameters.m_NonFiberModelList[i]->GetVolumeFractionImage()->GetLargestPossibleRegion().IsInside(newIndex)) +// continue; +// weight = m_Parameters.m_NonFiberModelList[i]->GetVolumeFractionImage()->GetPixel(newIndex); + double val = InterpolateValue(point, m_Parameters.m_NonFiberModelList[i]->GetVolumeFractionImage()); + if (val<0) continue; - weight = m_Parameters.m_NonFiberModelList[i]->GetVolumeFractionImage()->GetPixel(newIndex); + else + weight = val; } if (weight>maxWeight) { maxWeight = weight; maxVolumeIndex = i; } } DoubleDwiType::Pointer doubleDwi = m_CompartmentImages.at(maxVolumeIndex+numFiberCompartments); DoubleDwiType::PixelType pix = doubleDwi->GetPixel(index); if (g>=0) pix[g] += m_Parameters.m_NonFiberModelList[maxVolumeIndex]->SimulateMeasurement(g)*m_VoxelVolume; else pix += m_Parameters.m_NonFiberModelList[maxVolumeIndex]->SimulateMeasurement()*m_VoxelVolume; doubleDwi->SetPixel(index, pix); if (g==0) m_VolumeFractions.at(maxVolumeIndex+numFiberCompartments)->SetPixel(index, 1); } else { double extraAxonalVolume = m_VoxelVolume-intraAxonalVolume; // non-fiber volume if (extraAxonalVolume<0) { MITK_ERROR << "Coorupted intra-axonal signal voxel detected. Fiber volume larger voxel volume!"; extraAxonalVolume = 0; } double interAxonalVolume = 0; if (numFiberCompartments>1) interAxonalVolume = extraAxonalVolume * intraAxonalVolume/m_VoxelVolume; // inter-axonal fraction of non fiber compartment double other = extraAxonalVolume - interAxonalVolume; // rest of compartment if (other<0) { MITK_ERROR << "Corrupted signal voxel detected. Fiber volume larger voxel volume!"; other = 0; } // adjust non-fiber and intra-axonal signal for (int i=1; iGetPixel(index); if (intraAxonalVolume>0) // remove scaling by intra-axonal volume from inter-axonal compartment { if (g>=0) pix[g] /= intraAxonalVolume; else pix /= intraAxonalVolume; } if (m_Parameters.m_FiberModelList[i]->GetVolumeFractionImage()!=nullptr) { // ItkUcharImgType::IndexType maskIndex; // m_UpsampledMaskImage->TransformPhysicalPointToIndex(point, maskIndex); // if (!m_UpsampledMaskImage->GetLargestPossibleRegion().IsInside(maskIndex) || m_UpsampledMaskImage->GetPixel(maskIndex)==0) // continue; - DoubleDwiType::IndexType newIndex; - m_Parameters.m_FiberModelList[i]->GetVolumeFractionImage()->TransformPhysicalPointToIndex(point, newIndex); - if (!m_Parameters.m_FiberModelList[i]->GetVolumeFractionImage()->GetLargestPossibleRegion().IsInside(newIndex)) +// DoubleDwiType::IndexType newIndex; +// m_Parameters.m_FiberModelList[i]->GetVolumeFractionImage()->TransformPhysicalPointToIndex(point, newIndex); +// if (!m_Parameters.m_FiberModelList[i]->GetVolumeFractionImage()->GetLargestPossibleRegion().IsInside(newIndex)) +// continue; +// weight = m_Parameters.m_FiberModelList[i]->GetVolumeFractionImage()->GetPixel(newIndex)*m_VoxelVolume; + + double val = InterpolateValue(point, m_Parameters.m_FiberModelList[i]->GetVolumeFractionImage()); + if (val<0) continue; - weight = m_Parameters.m_FiberModelList[i]->GetVolumeFractionImage()->GetPixel(newIndex)*m_VoxelVolume; + else + weight = val*m_VoxelVolume; } if (g>=0) pix[g] *= weight; else pix *= weight; m_CompartmentImages.at(i)->SetPixel(index, pix); if (g==0) m_VolumeFractions.at(i)->SetPixel(index, weight/m_VoxelVolume); } for (int i=0; iGetPixel(index); if (m_Parameters.m_NonFiberModelList[i]->GetVolumeFractionImage()!=nullptr) { // ItkUcharImgType::IndexType maskIndex; // m_UpsampledMaskImage->TransformPhysicalPointToIndex(point, maskIndex); // if (!m_UpsampledMaskImage->GetLargestPossibleRegion().IsInside(maskIndex) || m_UpsampledMaskImage->GetPixel(maskIndex)==0) // continue; - DoubleDwiType::IndexType newIndex; - m_Parameters.m_NonFiberModelList[i]->GetVolumeFractionImage()->TransformPhysicalPointToIndex(point, newIndex); - if (!m_Parameters.m_NonFiberModelList[i]->GetVolumeFractionImage()->GetLargestPossibleRegion().IsInside(newIndex)) +// DoubleDwiType::IndexType newIndex; +// m_Parameters.m_NonFiberModelList[i]->GetVolumeFractionImage()->TransformPhysicalPointToIndex(point, newIndex); +// if (!m_Parameters.m_NonFiberModelList[i]->GetVolumeFractionImage()->GetLargestPossibleRegion().IsInside(newIndex)) +// continue; +// weight = m_Parameters.m_NonFiberModelList[i]->GetVolumeFractionImage()->GetPixel(newIndex)*m_VoxelVolume; + + double val = InterpolateValue(point, m_Parameters.m_NonFiberModelList[i]->GetVolumeFractionImage()); + if (val<0) continue; - weight = m_Parameters.m_NonFiberModelList[i]->GetVolumeFractionImage()->GetPixel(newIndex)*m_VoxelVolume; + else + weight = val*m_VoxelVolume; + if (m_UseRelativeNonFiberVolumeFractions) weight *= other/m_VoxelVolume; } if (g>=0) pix[g] += m_Parameters.m_NonFiberModelList[i]->SimulateMeasurement(g)*weight; else pix += m_Parameters.m_NonFiberModelList[i]->SimulateMeasurement()*weight; m_CompartmentImages.at(i+numFiberCompartments)->SetPixel(index, pix); if (g==0) m_VolumeFractions.at(i+numFiberCompartments)->SetPixel(index, weight/m_VoxelVolume); } } } } +template< class PixelType > +double TractsToDWIImageFilter< PixelType >::InterpolateValue(itk::Point itkP, ItkDoubleImgType::Pointer img) +{ + itk::Index<3> idx; + itk::ContinuousIndex< double, 3> cIdx; + img->TransformPhysicalPointToIndex(itkP, idx); + img->TransformPhysicalPointToContinuousIndex(itkP, cIdx); + + double pix = -1; + if ( img->GetLargestPossibleRegion().IsInside(idx) ) + pix = img->GetPixel(idx); + else + return pix; + + double frac_x = cIdx[0] - idx[0]; + double frac_y = cIdx[1] - idx[1]; + double frac_z = cIdx[2] - idx[2]; + if (frac_x<0) + { + idx[0] -= 1; + frac_x += 1; + } + if (frac_y<0) + { + idx[1] -= 1; + frac_y += 1; + } + if (frac_z<0) + { + idx[2] -= 1; + frac_z += 1; + } + frac_x = 1-frac_x; + frac_y = 1-frac_y; + frac_z = 1-frac_z; + + // int coordinates inside image? + if (idx[0] >= 0 && idx[0] < img->GetLargestPossibleRegion().GetSize(0)-1 && + idx[1] >= 0 && idx[1] < img->GetLargestPossibleRegion().GetSize(1)-1 && + idx[2] >= 0 && idx[2] < img->GetLargestPossibleRegion().GetSize(2)-1) + { + vnl_vector_fixed interpWeights; + interpWeights[0] = ( frac_x)*( frac_y)*( frac_z); + interpWeights[1] = (1-frac_x)*( frac_y)*( frac_z); + interpWeights[2] = ( frac_x)*(1-frac_y)*( frac_z); + interpWeights[3] = ( frac_x)*( frac_y)*(1-frac_z); + interpWeights[4] = (1-frac_x)*(1-frac_y)*( frac_z); + interpWeights[5] = ( frac_x)*(1-frac_y)*(1-frac_z); + interpWeights[6] = (1-frac_x)*( frac_y)*(1-frac_z); + interpWeights[7] = (1-frac_x)*(1-frac_y)*(1-frac_z); + + pix = img->GetPixel(idx) * interpWeights[0]; + ItkDoubleImgType::IndexType tmpIdx = idx; tmpIdx[0]++; + pix += img->GetPixel(tmpIdx) * interpWeights[1]; + tmpIdx = idx; tmpIdx[1]++; + pix += img->GetPixel(tmpIdx) * interpWeights[2]; + tmpIdx = idx; tmpIdx[2]++; + pix += img->GetPixel(tmpIdx) * interpWeights[3]; + tmpIdx = idx; tmpIdx[0]++; tmpIdx[1]++; + pix += img->GetPixel(tmpIdx) * interpWeights[4]; + tmpIdx = idx; tmpIdx[1]++; tmpIdx[2]++; + pix += img->GetPixel(tmpIdx) * interpWeights[5]; + tmpIdx = idx; tmpIdx[2]++; tmpIdx[0]++; + pix += img->GetPixel(tmpIdx) * interpWeights[6]; + tmpIdx = idx; tmpIdx[0]++; tmpIdx[1]++; tmpIdx[2]++; + pix += img->GetPixel(tmpIdx) * interpWeights[7]; + } + + return pix; +} + template< class PixelType > itk::Point TractsToDWIImageFilter< PixelType >::GetItkPoint(double point[3]) { itk::Point itkPoint; itkPoint[0] = point[0]; itkPoint[1] = point[1]; itkPoint[2] = point[2]; return itkPoint; } template< class PixelType > itk::Vector TractsToDWIImageFilter< PixelType >::GetItkVector(double point[3]) { itk::Vector itkVector; itkVector[0] = point[0]; itkVector[1] = point[1]; itkVector[2] = point[2]; return itkVector; } template< class PixelType > vnl_vector_fixed TractsToDWIImageFilter< PixelType >::GetVnlVector(double point[3]) { vnl_vector_fixed vnlVector; vnlVector[0] = point[0]; vnlVector[1] = point[1]; vnlVector[2] = point[2]; return vnlVector; } template< class PixelType > vnl_vector_fixed TractsToDWIImageFilter< PixelType >::GetVnlVector(Vector& vector) { vnl_vector_fixed vnlVector; vnlVector[0] = vector[0]; vnlVector[1] = vector[1]; vnlVector[2] = vector[2]; return vnlVector; } template< class PixelType > double TractsToDWIImageFilter< PixelType >::RoundToNearest(double num) { return (num > 0.0) ? floor(num + 0.5) : ceil(num - 0.5); } template< class PixelType > std::string TractsToDWIImageFilter< PixelType >::GetTime() { m_TimeProbe.Stop(); unsigned long total = RoundToNearest(m_TimeProbe.GetTotal()); unsigned long hours = total/3600; unsigned long minutes = (total%3600)/60; unsigned long seconds = total%60; std::string out = ""; out.append(boost::lexical_cast(hours)); out.append(":"); out.append(boost::lexical_cast(minutes)); out.append(":"); out.append(boost::lexical_cast(seconds)); m_TimeProbe.Start(); return out; } } diff --git a/Modules/DiffusionImaging/FiberTracking/Fiberfox/itkTractsToDWIImageFilter.h b/Modules/DiffusionImaging/FiberTracking/Fiberfox/itkTractsToDWIImageFilter.h index 19f70366d3..ea68997253 100755 --- a/Modules/DiffusionImaging/FiberTracking/Fiberfox/itkTractsToDWIImageFilter.h +++ b/Modules/DiffusionImaging/FiberTracking/Fiberfox/itkTractsToDWIImageFilter.h @@ -1,154 +1,157 @@ /*=================================================================== 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. ===================================================================*/ #ifndef __itkTractsToDWIImageFilter_h__ #define __itkTractsToDWIImageFilter_h__ #include #include #include #include #include #include #include #include #include namespace itk { /** * \brief Generates artificial diffusion weighted image volume from the input fiberbundle using a generic multicompartment model. * See "Fiberfox: Facilitating the creation of realistic white matter software phantoms" (DOI: 10.1002/mrm.25045) for details. */ template< class PixelType > class TractsToDWIImageFilter : public ImageSource< itk::VectorImage< PixelType, 3 > > { public: typedef TractsToDWIImageFilter Self; typedef ImageSource< itk::VectorImage< PixelType, 3 > > Superclass; typedef SmartPointer< Self > Pointer; typedef SmartPointer< const Self > ConstPointer; typedef typename Superclass::OutputImageType OutputImageType; typedef itk::Image ItkDoubleImgType4D; typedef itk::Image ItkDoubleImgType; typedef itk::Image ItkFloatImgType; typedef itk::Image ItkUcharImgType; typedef mitk::FiberBundle::Pointer FiberBundleType; typedef itk::VectorImage< double, 3 > DoubleDwiType; typedef itk::VectorImage< double, 4 > DoubleDwiType4D; typedef itk::Matrix MatrixType; typedef itk::Image< double, 2 > SliceType; typedef itk::VnlForwardFFTImageFilter::OutputImageType ComplexSliceType; typedef itk::VectorImage< vcl_complex< double >, 3 > ComplexDwiType; typedef itk::Vector< double,3> DoubleVectorType; itkFactorylessNewMacro(Self) itkCloneMacro(Self) itkTypeMacro( TractsToDWIImageFilter, ImageSource ) /** Input */ itkSetMacro( FiberBundle, FiberBundleType ) ///< Input fiber bundle itkSetMacro( UseConstantRandSeed, bool ) ///< Seed for random generator. void SetParameters( FiberfoxParameters param ) ///< Simulation parameters. { m_Parameters = param; } /** Output */ FiberfoxParameters GetParameters(){ return m_Parameters; } std::vector< ItkDoubleImgType::Pointer > GetVolumeFractions() ///< one double image for each compartment containing the corresponding volume fraction per voxel { return m_VolumeFractions; } mitk::LevelWindow GetLevelWindow(){ return m_LevelWindow; } itkGetMacro( StatusText, std::string ) itkGetMacro( PhaseImage, DoubleDwiType::Pointer ) itkGetMacro( KspaceImage, DoubleDwiType::Pointer ) itkGetMacro( CoilPointset, mitk::PointSet::Pointer ) void GenerateData(); protected: TractsToDWIImageFilter(); virtual ~TractsToDWIImageFilter(); itk::Point GetItkPoint(double point[3]); itk::Vector GetItkVector(double point[3]); vnl_vector_fixed GetVnlVector(double point[3]); vnl_vector_fixed GetVnlVector(Vector< float, 3 >& vector); double RoundToNearest(double num); std::string GetTime(); /** Transform generated image compartment by compartment, channel by channel and slice by slice using DFT and add k-space artifacts. */ DoubleDwiType::Pointer SimulateKspaceAcquisition(std::vector< DoubleDwiType::Pointer >& images); /** Generate signal of non-fiber compartments. */ void SimulateExtraAxonalSignal(ItkUcharImgType::IndexType index, double intraAxonalVolume, int g=-1); /** Move fibers to simulate headmotion */ void SimulateMotion(int g=-1); void CheckVolumeFractionImages(); ItkDoubleImgType::Pointer NormalizeInsideMask(ItkDoubleImgType::Pointer image); void InitializeData(); void InitializeFiberData(); + double InterpolateValue(itk::Point itkP, ItkDoubleImgType::Pointer img); // input mitk::FiberfoxParameters m_Parameters; FiberBundleType m_FiberBundle; // output typename OutputImageType::Pointer m_OutputImage; typename DoubleDwiType::Pointer m_PhaseImage; typename DoubleDwiType::Pointer m_KspaceImage; mitk::LevelWindow m_LevelWindow; std::vector< ItkDoubleImgType::Pointer > m_VolumeFractions; std::string m_StatusText; // MISC itk::TimeProbe m_TimeProbe; bool m_UseConstantRandSeed; bool m_MaskImageSet; - ofstream m_Logfile; + ofstream m_MotionLogfile; // signal generation FiberBundleType m_FiberBundleWorkingCopy; ///< we work on an upsampled version of the input bundle FiberBundleType m_FiberBundleTransformed; ///< transformed bundle simulating headmotion itk::Vector m_WorkingSpacing; itk::Point m_WorkingOrigin; ImageRegion<3> m_WorkingImageRegion; double m_VoxelVolume; std::vector< DoubleDwiType::Pointer > m_CompartmentImages; ItkUcharImgType::Pointer m_TransformedMaskImage; ///< copy of mask image (changes for each motion step) ItkUcharImgType::Pointer m_UpsampledMaskImage; ///< helper image for motion simulation DoubleVectorType m_Rotation; DoubleVectorType m_Translation; std::vector< DoubleVectorType > m_Rotations; /// m_Translations; /// #include #include #include template< class ScalarType > mitk::FiberfoxParameters< ScalarType >::FiberfoxParameters() : m_NoiseModel(NULL) { } template< class ScalarType > mitk::FiberfoxParameters< ScalarType >::~FiberfoxParameters() { // if (m_NoiseModel!=NULL) // delete m_NoiseModel; } void mitk::SignalGenerationParameters::GenerateGradientHalfShell() { int NPoints = 2*m_NumGradients; m_GradientDirections.clear(); m_NumBaseline = NPoints/20; if (m_NumBaseline==0) m_NumBaseline=1; GradientType g; g.Fill(0.0); for (unsigned int i=0; i theta; theta.set_size(NPoints); vnl_vector phi; phi.set_size(NPoints); double C = sqrt(4*M_PI); phi(0) = 0.0; phi(NPoints-1) = 0.0; for(int i=0; i0 && i mitk::SignalGenerationParameters::GetBaselineIndices() { std::vector< int > result; for( unsigned int i=0; im_GradientDirections.size(); i++) if (m_GradientDirections.at(i).GetNorm()<0.0001) result.push_back(i); return result; } unsigned int mitk::SignalGenerationParameters::GetFirstBaselineIndex() { for( unsigned int i=0; im_GradientDirections.size(); i++) if (m_GradientDirections.at(i).GetNorm()<0.0001) return i; return -1; } bool mitk::SignalGenerationParameters::IsBaselineIndex(unsigned int idx) { if (m_GradientDirections.size()>idx && m_GradientDirections.at(idx).GetNorm()<0.0001) return true; return false; } unsigned int mitk::SignalGenerationParameters::GetNumWeightedVolumes() { return m_NumGradients; } unsigned int mitk::SignalGenerationParameters::GetNumBaselineVolumes() { return m_NumBaseline; } unsigned int mitk::SignalGenerationParameters::GetNumVolumes() { return m_GradientDirections.size(); } mitk::SignalGenerationParameters::GradientListType mitk::SignalGenerationParameters::GetGradientDirections() { return m_GradientDirections; } mitk::SignalGenerationParameters::GradientType mitk::SignalGenerationParameters::GetGradientDirection(unsigned int i) { return m_GradientDirections.at(i); } void mitk::SignalGenerationParameters::SetNumWeightedVolumes(int numGradients) { m_NumGradients = numGradients; GenerateGradientHalfShell(); } void mitk::SignalGenerationParameters::SetGradienDirections(GradientListType gradientList) { m_GradientDirections = gradientList; m_NumGradients = 0; m_NumBaseline = 0; for( unsigned int i=0; im_GradientDirections.size(); i++) { if (m_GradientDirections.at(i).GetNorm()>0.0001) m_NumGradients++; else m_NumBaseline++; } } void mitk::SignalGenerationParameters::SetGradienDirections(mitk::DiffusionPropertyHelper::GradientDirectionsContainerType::Pointer gradientList) { m_NumGradients = 0; m_NumBaseline = 0; m_GradientDirections.clear(); for( unsigned int i=0; iSize(); i++) { GradientType g; g[0] = gradientList->at(i)[0]; g[1] = gradientList->at(i)[1]; g[2] = gradientList->at(i)[2]; m_GradientDirections.push_back(g); if (m_GradientDirections.at(i).GetNorm()>0.0001) m_NumGradients++; else m_NumBaseline++; } } template< class ScalarType > void mitk::FiberfoxParameters< ScalarType >::SaveParameters(string filename) { if(filename.empty()) return; if(".ffp"!=filename.substr(filename.size()-4, 4)) filename += ".ffp"; 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; } } boost::property_tree::ptree parameters; // fiber generation parameters parameters.put("fiberfox.fibers.distribution", m_FiberGen.m_Distribution); parameters.put("fiberfox.fibers.variance", m_FiberGen.m_Variance); parameters.put("fiberfox.fibers.density", m_FiberGen.m_Density); parameters.put("fiberfox.fibers.spline.sampling", m_FiberGen.m_Sampling); parameters.put("fiberfox.fibers.spline.tension", m_FiberGen.m_Tension); parameters.put("fiberfox.fibers.spline.continuity", m_FiberGen.m_Continuity); parameters.put("fiberfox.fibers.spline.bias", m_FiberGen.m_Bias); parameters.put("fiberfox.fibers.rotation.x", m_FiberGen.m_Rotation[0]); parameters.put("fiberfox.fibers.rotation.y", m_FiberGen.m_Rotation[1]); parameters.put("fiberfox.fibers.rotation.z", m_FiberGen.m_Rotation[2]); parameters.put("fiberfox.fibers.translation.x", m_FiberGen.m_Translation[0]); parameters.put("fiberfox.fibers.translation.y", m_FiberGen.m_Translation[1]); parameters.put("fiberfox.fibers.translation.z", m_FiberGen.m_Translation[2]); parameters.put("fiberfox.fibers.scale.x", m_FiberGen.m_Scale[0]); parameters.put("fiberfox.fibers.scale.y", m_FiberGen.m_Scale[1]); parameters.put("fiberfox.fibers.scale.z", m_FiberGen.m_Scale[2]); // image generation parameters parameters.put("fiberfox.image.basic.size.x", m_SignalGen.m_ImageRegion.GetSize(0)); parameters.put("fiberfox.image.basic.size.y", m_SignalGen.m_ImageRegion.GetSize(1)); parameters.put("fiberfox.image.basic.size.z", m_SignalGen.m_ImageRegion.GetSize(2)); parameters.put("fiberfox.image.basic.spacing.x", m_SignalGen.m_ImageSpacing[0]); parameters.put("fiberfox.image.basic.spacing.y", m_SignalGen.m_ImageSpacing[1]); parameters.put("fiberfox.image.basic.spacing.z", m_SignalGen.m_ImageSpacing[2]); parameters.put("fiberfox.image.basic.origin.x", m_SignalGen.m_ImageOrigin[0]); parameters.put("fiberfox.image.basic.origin.y", m_SignalGen.m_ImageOrigin[1]); parameters.put("fiberfox.image.basic.origin.z", m_SignalGen.m_ImageOrigin[2]); parameters.put("fiberfox.image.basic.direction.1", m_SignalGen.m_ImageDirection[0][0]); parameters.put("fiberfox.image.basic.direction.2", m_SignalGen.m_ImageDirection[0][1]); parameters.put("fiberfox.image.basic.direction.3", m_SignalGen.m_ImageDirection[0][2]); parameters.put("fiberfox.image.basic.direction.4", m_SignalGen.m_ImageDirection[1][0]); parameters.put("fiberfox.image.basic.direction.5", m_SignalGen.m_ImageDirection[1][1]); parameters.put("fiberfox.image.basic.direction.6", m_SignalGen.m_ImageDirection[1][2]); parameters.put("fiberfox.image.basic.direction.7", m_SignalGen.m_ImageDirection[2][0]); parameters.put("fiberfox.image.basic.direction.8", m_SignalGen.m_ImageDirection[2][1]); parameters.put("fiberfox.image.basic.direction.9", m_SignalGen.m_ImageDirection[2][2]); parameters.put("fiberfox.image.basic.numgradients", m_SignalGen.GetNumWeightedVolumes()); for( unsigned int i=0; im_SignalGen.GetNumVolumes(); i++) { parameters.put("fiberfox.image.gradients."+boost::lexical_cast(i)+".x", m_SignalGen.GetGradientDirection(i)[0]); parameters.put("fiberfox.image.gradients."+boost::lexical_cast(i)+".y", m_SignalGen.GetGradientDirection(i)[1]); parameters.put("fiberfox.image.gradients."+boost::lexical_cast(i)+".z", m_SignalGen.GetGradientDirection(i)[2]); } parameters.put("fiberfox.image.acquisitiontype", m_SignalGen.m_AcquisitionType); parameters.put("fiberfox.image.coilsensitivityprofile", m_SignalGen.m_CoilSensitivityProfile); parameters.put("fiberfox.image.numberofcoils", m_SignalGen.m_NumberOfCoils); parameters.put("fiberfox.image.reversephase", m_SignalGen.m_ReversePhase); parameters.put("fiberfox.image.partialfourier", m_SignalGen.m_PartialFourier); parameters.put("fiberfox.image.noisevariance", m_SignalGen.m_NoiseVariance); parameters.put("fiberfox.image.trep", m_SignalGen.m_tRep); parameters.put("fiberfox.image.signalScale", m_SignalGen.m_SignalScale); parameters.put("fiberfox.image.tEcho", m_SignalGen.m_tEcho); parameters.put("fiberfox.image.tLine", m_SignalGen.m_tLine); parameters.put("fiberfox.image.tInhom", m_SignalGen.m_tInhom); parameters.put("fiberfox.image.bvalue", m_SignalGen.m_Bvalue); parameters.put("fiberfox.image.simulatekspace", m_SignalGen.m_SimulateKspaceAcquisition); parameters.put("fiberfox.image.axonRadius", m_SignalGen.m_AxonRadius); parameters.put("fiberfox.image.diffusiondirectionmode", m_SignalGen.m_DiffusionDirectionMode); parameters.put("fiberfox.image.fiberseparationthreshold", m_SignalGen.m_FiberSeparationThreshold); parameters.put("fiberfox.image.doSimulateRelaxation", m_SignalGen.m_DoSimulateRelaxation); parameters.put("fiberfox.image.doDisablePartialVolume", m_SignalGen.m_DoDisablePartialVolume); parameters.put("fiberfox.image.artifacts.spikesnum", m_SignalGen.m_Spikes); parameters.put("fiberfox.image.artifacts.spikesscale", m_SignalGen.m_SpikeAmplitude); parameters.put("fiberfox.image.artifacts.kspaceLineOffset", m_SignalGen.m_KspaceLineOffset); parameters.put("fiberfox.image.artifacts.eddyStrength", m_SignalGen.m_EddyStrength); parameters.put("fiberfox.image.artifacts.eddyTau", m_SignalGen.m_Tau); parameters.put("fiberfox.image.artifacts.aliasingfactor", m_SignalGen.m_CroppingFactor); parameters.put("fiberfox.image.artifacts.addringing", m_SignalGen.m_DoAddGibbsRinging); parameters.put("fiberfox.image.artifacts.doAddMotion", m_SignalGen.m_DoAddMotion); parameters.put("fiberfox.image.artifacts.randomMotion", m_SignalGen.m_DoRandomizeMotion); parameters.put("fiberfox.image.artifacts.translation0", m_SignalGen.m_Translation[0]); parameters.put("fiberfox.image.artifacts.translation1", m_SignalGen.m_Translation[1]); parameters.put("fiberfox.image.artifacts.translation2", m_SignalGen.m_Translation[2]); parameters.put("fiberfox.image.artifacts.rotation0", m_SignalGen.m_Rotation[0]); parameters.put("fiberfox.image.artifacts.rotation1", m_SignalGen.m_Rotation[1]); parameters.put("fiberfox.image.artifacts.rotation2", m_SignalGen.m_Rotation[2]); - + parameters.put("fiberfox.image.artifacts.motionvolumes", m_Misc.m_MotionVolumesBox); parameters.put("fiberfox.image.artifacts.addnoise", m_Misc.m_CheckAddNoiseBox); parameters.put("fiberfox.image.artifacts.addghosts", m_Misc.m_CheckAddGhostsBox); parameters.put("fiberfox.image.artifacts.addaliasing", m_Misc.m_CheckAddAliasingBox); parameters.put("fiberfox.image.artifacts.addspikes", m_Misc.m_CheckAddSpikesBox); parameters.put("fiberfox.image.artifacts.addeddycurrents", m_Misc.m_CheckAddEddyCurrentsBox); parameters.put("fiberfox.image.artifacts.doAddDistortions", m_Misc.m_CheckAddDistortionsBox); parameters.put("fiberfox.image.outputvolumefractions", m_Misc.m_CheckOutputVolumeFractionsBox); parameters.put("fiberfox.image.showadvanced", m_Misc.m_CheckAdvancedSignalOptionsBox); parameters.put("fiberfox.image.signalmodelstring", m_Misc.m_SignalModelString); parameters.put("fiberfox.image.artifactmodelstring", m_Misc.m_ArtifactModelString); parameters.put("fiberfox.image.outpath", m_Misc.m_OutputPath); parameters.put("fiberfox.fibers.realtime", m_Misc.m_CheckRealTimeFibersBox); parameters.put("fiberfox.fibers.showadvanced", m_Misc.m_CheckAdvancedFiberOptionsBox); parameters.put("fiberfox.fibers.constantradius", m_Misc.m_CheckConstantRadiusBox); parameters.put("fiberfox.fibers.includeFiducials", m_Misc.m_CheckIncludeFiducialsBox); if (m_NoiseModel!=NULL) { parameters.put("fiberfox.image.artifacts.noisevariance", m_NoiseModel->GetNoiseVariance()); if (dynamic_cast*>(m_NoiseModel)) parameters.put("fiberfox.image.artifacts.noisetype", "rice"); else if (dynamic_cast*>(m_NoiseModel)) parameters.put("fiberfox.image.artifacts.noisetype", "chisquare"); } for (int i=0; i* signalModel = NULL; if (i(i)+".type", "fiber"); } else { signalModel = m_NonFiberModelList.at(i-m_FiberModelList.size()); parameters.put("fiberfox.image.compartments."+boost::lexical_cast(i)+".type", "non-fiber"); } if (dynamic_cast*>(signalModel)) { mitk::StickModel* model = dynamic_cast*>(signalModel); parameters.put("fiberfox.image.compartments."+boost::lexical_cast(i)+".model", "stick"); parameters.put("fiberfox.image.compartments."+boost::lexical_cast(i)+".d", model->GetDiffusivity()); parameters.put("fiberfox.image.compartments."+boost::lexical_cast(i)+".t2", model->GetT2()); parameters.put("fiberfox.image.compartments."+boost::lexical_cast(i)+".t1", model->GetT1()); } else if (dynamic_cast*>(signalModel)) { mitk::TensorModel* model = dynamic_cast*>(signalModel); parameters.put("fiberfox.image.compartments."+boost::lexical_cast(i)+".model", "tensor"); parameters.put("fiberfox.image.compartments."+boost::lexical_cast(i)+".d1", model->GetDiffusivity1()); parameters.put("fiberfox.image.compartments."+boost::lexical_cast(i)+".d2", model->GetDiffusivity2()); parameters.put("fiberfox.image.compartments."+boost::lexical_cast(i)+".d3", model->GetDiffusivity3()); parameters.put("fiberfox.image.compartments."+boost::lexical_cast(i)+".t2", model->GetT2()); parameters.put("fiberfox.image.compartments."+boost::lexical_cast(i)+".t1", model->GetT1()); } else if (dynamic_cast*>(signalModel)) { mitk::RawShModel* model = dynamic_cast*>(signalModel); parameters.put("fiberfox.image.compartments."+boost::lexical_cast(i)+".model", "prototype"); parameters.put("fiberfox.image.compartments."+boost::lexical_cast(i)+".minFA", model->GetFaRange().first); parameters.put("fiberfox.image.compartments."+boost::lexical_cast(i)+".maxFA", model->GetFaRange().second); parameters.put("fiberfox.image.compartments."+boost::lexical_cast(i)+".minADC", model->GetAdcRange().first); parameters.put("fiberfox.image.compartments."+boost::lexical_cast(i)+".maxADC", model->GetAdcRange().second); parameters.put("fiberfox.image.compartments."+boost::lexical_cast(i)+".maxNumSamples", model->GetMaxNumKernels()); parameters.put("fiberfox.image.compartments."+boost::lexical_cast(i)+".numSamples", model->GetNumberOfKernels()); int shOrder = model->GetShOrder(); parameters.put("fiberfox.image.compartments."+boost::lexical_cast(i)+".numCoeffs", (shOrder*shOrder + shOrder + 2)/2 + shOrder); for (unsigned int j=0; jGetNumberOfKernels(); j++) { vnl_vector< double > coeffs = model->GetCoefficients(j); for (unsigned int k=0; k(i)+".kernels."+boost::lexical_cast(j)+".coeffs."+boost::lexical_cast(k), coeffs[k]); parameters.put("fiberfox.image.compartments."+boost::lexical_cast(i)+".kernels."+boost::lexical_cast(j)+".B0", model->GetBaselineSignal(j)); } } else if (dynamic_cast*>(signalModel)) { mitk::BallModel* model = dynamic_cast*>(signalModel); parameters.put("fiberfox.image.compartments."+boost::lexical_cast(i)+".model", "ball"); parameters.put("fiberfox.image.compartments."+boost::lexical_cast(i)+".d", model->GetDiffusivity()); parameters.put("fiberfox.image.compartments."+boost::lexical_cast(i)+".t2", model->GetT2()); parameters.put("fiberfox.image.compartments."+boost::lexical_cast(i)+".t1", model->GetT1()); } else if (dynamic_cast*>(signalModel)) { mitk::AstroStickModel* model = dynamic_cast*>(signalModel); parameters.put("fiberfox.image.compartments."+boost::lexical_cast(i)+".model", "astrosticks"); parameters.put("fiberfox.image.compartments."+boost::lexical_cast(i)+".d", model->GetDiffusivity()); parameters.put("fiberfox.image.compartments."+boost::lexical_cast(i)+".t2", model->GetT2()); parameters.put("fiberfox.image.compartments."+boost::lexical_cast(i)+".t1", model->GetT1()); parameters.put("fiberfox.image.compartments."+boost::lexical_cast(i)+".randomize", model->GetRandomizeSticks()); } else if (dynamic_cast*>(signalModel)) { mitk::DotModel* model = dynamic_cast*>(signalModel); parameters.put("fiberfox.image.compartments."+boost::lexical_cast(i)+".model", "dot"); parameters.put("fiberfox.image.compartments."+boost::lexical_cast(i)+".t2", model->GetT2()); parameters.put("fiberfox.image.compartments."+boost::lexical_cast(i)+".t1", model->GetT1()); } if (signalModel!=NULL) { parameters.put("fiberfox.image.compartments."+boost::lexical_cast(i)+".ID", signalModel->m_CompartmentId); if (signalModel->GetVolumeFractionImage().IsNotNull()) { try{ itk::ImageFileWriter::Pointer writer = itk::ImageFileWriter::New(); writer->SetFileName(filename+"_VOLUME"+boost::lexical_cast(signalModel->m_CompartmentId)+".nrrd"); writer->SetInput(signalModel->GetVolumeFractionImage()); writer->Update(); MITK_INFO << "Volume fraction image for compartment "+boost::lexical_cast(signalModel->m_CompartmentId)+" saved."; } catch(...) { } } } } boost::property_tree::xml_writer_settings writerSettings(' ', 2); boost::property_tree::xml_parser::write_xml(filename, parameters, std::locale(), writerSettings); try{ itk::ImageFileWriter::Pointer writer = itk::ImageFileWriter::New(); writer->SetFileName(filename+"_FMAP.nrrd"); writer->SetInput(m_SignalGen.m_FrequencyMap); writer->Update(); } catch(...) { MITK_INFO << "No frequency map saved."; } try{ itk::ImageFileWriter::Pointer writer = itk::ImageFileWriter::New(); writer->SetFileName(filename+"_MASK.nrrd"); writer->SetInput(m_SignalGen.m_MaskImage); writer->Update(); } catch(...) { MITK_INFO << "No mask image saved."; } setlocale(LC_ALL, currLocale.c_str()); } template< class ScalarType > template< class ParameterType > ParameterType mitk::FiberfoxParameters< ScalarType >::ReadVal(boost::property_tree::ptree::value_type const& v, std::string tag, ParameterType defaultValue, bool essential) { try { return v.second.get(tag); } catch (...) { if (essential) { mitkThrow() << "Parameter file corrupted. Essential tag is missing: '" << tag << "'"; } if (tag!="artifacts.noisetype") { MITK_INFO << "Tag '" << tag << "' not found. Using default value '" << defaultValue << "'."; m_MissingTags += "\n- "; m_MissingTags += tag; } return defaultValue; } } template< class ScalarType > void mitk::FiberfoxParameters< ScalarType >::LoadParameters(string filename) { m_MissingTags = ""; if(filename.empty()) return; 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; } } boost::property_tree::ptree parameterTree; boost::property_tree::xml_parser::read_xml(filename, parameterTree); m_FiberModelList.clear(); m_NonFiberModelList.clear(); if (m_NoiseModel!=NULL) delete m_NoiseModel; BOOST_FOREACH( boost::property_tree::ptree::value_type const& v1, parameterTree.get_child("fiberfox") ) { if( v1.first == "fibers" ) { m_Misc.m_CheckRealTimeFibersBox = ReadVal(v1,"realtime", m_Misc.m_CheckRealTimeFibersBox); m_Misc.m_CheckAdvancedFiberOptionsBox = ReadVal(v1,"showadvanced", m_Misc.m_CheckAdvancedFiberOptionsBox); m_Misc.m_CheckConstantRadiusBox = ReadVal(v1,"constantradius", m_Misc.m_CheckConstantRadiusBox); m_Misc.m_CheckIncludeFiducialsBox = ReadVal(v1,"includeFiducials", m_Misc.m_CheckIncludeFiducialsBox); switch (ReadVal(v1,"distribution", 0)) { case 0: m_FiberGen.m_Distribution = FiberGenerationParameters::DISTRIBUTE_UNIFORM; break; case 1: m_FiberGen.m_Distribution = FiberGenerationParameters::DISTRIBUTE_GAUSSIAN; break; default: m_FiberGen.m_Distribution = FiberGenerationParameters::DISTRIBUTE_UNIFORM; } m_FiberGen.m_Variance = ReadVal(v1,"variance", m_FiberGen.m_Variance); m_FiberGen.m_Density = ReadVal(v1,"density", m_FiberGen.m_Density); m_FiberGen.m_Sampling = ReadVal(v1,"spline.sampling", m_FiberGen.m_Sampling); m_FiberGen.m_Tension = ReadVal(v1,"spline.tension", m_FiberGen.m_Tension); m_FiberGen.m_Continuity = ReadVal(v1,"spline.continuity", m_FiberGen.m_Continuity); m_FiberGen.m_Bias = ReadVal(v1,"spline.bias", m_FiberGen.m_Bias); m_FiberGen.m_Rotation[0] = ReadVal(v1,"rotation.x", m_FiberGen.m_Rotation[0]); m_FiberGen.m_Rotation[1] = ReadVal(v1,"rotation.y", m_FiberGen.m_Rotation[1]); m_FiberGen.m_Rotation[2] = ReadVal(v1,"rotation.z", m_FiberGen.m_Rotation[2]); m_FiberGen.m_Translation[0] = ReadVal(v1,"translation.x", m_FiberGen.m_Translation[0]); m_FiberGen.m_Translation[1] = ReadVal(v1,"translation.y", m_FiberGen.m_Translation[1]); m_FiberGen.m_Translation[2] = ReadVal(v1,"translation.z", m_FiberGen.m_Translation[2]); m_FiberGen.m_Scale[0] = ReadVal(v1,"scale.x", m_FiberGen.m_Scale[0]); m_FiberGen.m_Scale[1] = ReadVal(v1,"scale.y", m_FiberGen.m_Scale[1]); m_FiberGen.m_Scale[2] = ReadVal(v1,"scale.z", m_FiberGen.m_Scale[2]); } else if ( v1.first == "image" ) { m_Misc.m_SignalModelString = ReadVal(v1,"signalmodelstring", m_Misc.m_SignalModelString); m_Misc.m_ArtifactModelString = ReadVal(v1,"artifactmodelstring", m_Misc.m_ArtifactModelString); m_Misc.m_OutputPath = ReadVal(v1,"outpath", m_Misc.m_OutputPath); m_Misc.m_CheckOutputVolumeFractionsBox = ReadVal(v1,"outputvolumefractions", m_Misc.m_CheckOutputVolumeFractionsBox); m_Misc.m_CheckAdvancedSignalOptionsBox = ReadVal(v1,"showadvanced", m_Misc.m_CheckAdvancedSignalOptionsBox); m_Misc.m_CheckAddDistortionsBox = ReadVal(v1,"artifacts.doAddDistortions", m_Misc.m_CheckAddDistortionsBox); m_Misc.m_CheckAddNoiseBox = ReadVal(v1,"artifacts.addnoise", m_Misc.m_CheckAddNoiseBox); m_Misc.m_CheckAddGhostsBox = ReadVal(v1,"artifacts.addghosts", m_Misc.m_CheckAddGhostsBox); m_Misc.m_CheckAddAliasingBox = ReadVal(v1,"artifacts.addaliasing", m_Misc.m_CheckAddAliasingBox); m_Misc.m_CheckAddSpikesBox = ReadVal(v1,"artifacts.addspikes", m_Misc.m_CheckAddSpikesBox); m_Misc.m_CheckAddEddyCurrentsBox = ReadVal(v1,"artifacts.addeddycurrents", m_Misc.m_CheckAddEddyCurrentsBox); m_SignalGen.m_ImageRegion.SetSize(0, ReadVal(v1,"basic.size.x",m_SignalGen.m_ImageRegion.GetSize(0))); m_SignalGen.m_ImageRegion.SetSize(1, ReadVal(v1,"basic.size.y",m_SignalGen.m_ImageRegion.GetSize(1))); m_SignalGen.m_ImageRegion.SetSize(2, ReadVal(v1,"basic.size.z",m_SignalGen.m_ImageRegion.GetSize(2))); m_SignalGen.m_ImageSpacing[0] = ReadVal(v1,"basic.spacing.x",m_SignalGen.m_ImageSpacing[0]); m_SignalGen.m_ImageSpacing[1] = ReadVal(v1,"basic.spacing.y",m_SignalGen.m_ImageSpacing[1]); m_SignalGen.m_ImageSpacing[2] = ReadVal(v1,"basic.spacing.z",m_SignalGen.m_ImageSpacing[2]); m_SignalGen.m_ImageOrigin[0] = ReadVal(v1,"basic.origin.x",m_SignalGen.m_ImageOrigin[0]); m_SignalGen.m_ImageOrigin[1] = ReadVal(v1,"basic.origin.y",m_SignalGen.m_ImageOrigin[1]); m_SignalGen.m_ImageOrigin[2] = ReadVal(v1,"basic.origin.z",m_SignalGen.m_ImageOrigin[2]); m_SignalGen.m_ImageDirection[0][0] = ReadVal(v1,"basic.direction.1",m_SignalGen.m_ImageDirection[0][0]); m_SignalGen.m_ImageDirection[0][1] = ReadVal(v1,"basic.direction.2",m_SignalGen.m_ImageDirection[0][1]); m_SignalGen.m_ImageDirection[0][2] = ReadVal(v1,"basic.direction.3",m_SignalGen.m_ImageDirection[0][2]); m_SignalGen.m_ImageDirection[1][0] = ReadVal(v1,"basic.direction.4",m_SignalGen.m_ImageDirection[1][0]); m_SignalGen.m_ImageDirection[1][1] = ReadVal(v1,"basic.direction.5",m_SignalGen.m_ImageDirection[1][1]); m_SignalGen.m_ImageDirection[1][2] = ReadVal(v1,"basic.direction.6",m_SignalGen.m_ImageDirection[1][2]); m_SignalGen.m_ImageDirection[2][0] = ReadVal(v1,"basic.direction.7",m_SignalGen.m_ImageDirection[2][0]); m_SignalGen.m_ImageDirection[2][1] = ReadVal(v1,"basic.direction.8",m_SignalGen.m_ImageDirection[2][1]); m_SignalGen.m_ImageDirection[2][2] = ReadVal(v1,"basic.direction.9",m_SignalGen.m_ImageDirection[2][2]); m_SignalGen.m_AcquisitionType = (SignalGenerationParameters::AcquisitionType)ReadVal(v1,"acquisitiontype", m_SignalGen.m_AcquisitionType); m_SignalGen.m_CoilSensitivityProfile = (SignalGenerationParameters::CoilSensitivityProfile)ReadVal(v1,"coilsensitivityprofile", m_SignalGen.m_CoilSensitivityProfile); m_SignalGen.m_NumberOfCoils = ReadVal(v1,"numberofcoils", m_SignalGen.m_NumberOfCoils); m_SignalGen.m_ReversePhase = ReadVal(v1,"reversephase", m_SignalGen.m_ReversePhase); m_SignalGen.m_PartialFourier = ReadVal(v1,"partialfourier", m_SignalGen.m_PartialFourier); m_SignalGen.m_NoiseVariance = ReadVal(v1,"noisevariance", m_SignalGen.m_NoiseVariance); m_SignalGen.m_tRep = ReadVal(v1,"trep", m_SignalGen.m_tRep); m_SignalGen.m_SignalScale = ReadVal(v1,"signalScale", m_SignalGen.m_SignalScale); m_SignalGen.m_tEcho = ReadVal(v1,"tEcho", m_SignalGen.m_tEcho); m_SignalGen.m_tLine = ReadVal(v1,"tLine", m_SignalGen.m_tLine); m_SignalGen.m_tInhom = ReadVal(v1,"tInhom", m_SignalGen.m_tInhom); m_SignalGen.m_Bvalue = ReadVal(v1,"bvalue", m_SignalGen.m_Bvalue); m_SignalGen.m_SimulateKspaceAcquisition = ReadVal(v1,"simulatekspace", m_SignalGen.m_SimulateKspaceAcquisition); m_SignalGen.m_AxonRadius = ReadVal(v1,"axonRadius", m_SignalGen.m_AxonRadius); switch (ReadVal(v1,"diffusiondirectionmode", 0)) { case 0: m_SignalGen.m_DiffusionDirectionMode = SignalGenerationParameters::FIBER_TANGENT_DIRECTIONS; break; case 1: m_SignalGen.m_DiffusionDirectionMode = SignalGenerationParameters::MAIN_FIBER_DIRECTIONS; break; case 2: m_SignalGen.m_DiffusionDirectionMode = SignalGenerationParameters::RANDOM_DIRECTIONS; break; default: m_SignalGen.m_DiffusionDirectionMode = SignalGenerationParameters::FIBER_TANGENT_DIRECTIONS; } m_SignalGen.m_FiberSeparationThreshold = ReadVal(v1,"fiberseparationthreshold", m_SignalGen.m_FiberSeparationThreshold); m_SignalGen.m_Spikes = ReadVal(v1,"artifacts.spikesnum", m_SignalGen.m_Spikes); m_SignalGen.m_SpikeAmplitude = ReadVal(v1,"artifacts.spikesscale", m_SignalGen.m_SpikeAmplitude); m_SignalGen.m_KspaceLineOffset = ReadVal(v1,"artifacts.kspaceLineOffset", m_SignalGen.m_KspaceLineOffset); m_SignalGen.m_EddyStrength = ReadVal(v1,"artifacts.eddyStrength", m_SignalGen.m_EddyStrength); m_SignalGen.m_Tau = ReadVal(v1,"artifacts.eddyTau", m_SignalGen.m_Tau); m_SignalGen.m_CroppingFactor = ReadVal(v1,"artifacts.aliasingfactor", m_SignalGen.m_CroppingFactor); m_SignalGen.m_DoAddGibbsRinging = ReadVal(v1,"artifacts.addringing", m_SignalGen.m_DoAddGibbsRinging); m_SignalGen.m_DoSimulateRelaxation = ReadVal(v1,"doSimulateRelaxation", m_SignalGen.m_DoSimulateRelaxation); m_SignalGen.m_DoDisablePartialVolume = ReadVal(v1,"doDisablePartialVolume", m_SignalGen.m_DoDisablePartialVolume); m_SignalGen.m_DoAddMotion = ReadVal(v1,"artifacts.doAddMotion", m_SignalGen.m_DoAddMotion); m_SignalGen.m_DoRandomizeMotion = ReadVal(v1,"artifacts.randomMotion", m_SignalGen.m_DoRandomizeMotion); m_SignalGen.m_Translation[0] = ReadVal(v1,"artifacts.translation0", m_SignalGen.m_Translation[0]); m_SignalGen.m_Translation[1] = ReadVal(v1,"artifacts.translation1", m_SignalGen.m_Translation[1]); m_SignalGen.m_Translation[2] = ReadVal(v1,"artifacts.translation2", m_SignalGen.m_Translation[2]); m_SignalGen.m_Rotation[0] = ReadVal(v1,"artifacts.rotation0", m_SignalGen.m_Rotation[0]); m_SignalGen.m_Rotation[1] = ReadVal(v1,"artifacts.rotation1", m_SignalGen.m_Rotation[1]); m_SignalGen.m_Rotation[2] = ReadVal(v1,"artifacts.rotation2", m_SignalGen.m_Rotation[2]); + + m_Misc.m_MotionVolumesBox = ReadVal(v1,"artifacts.motionvolumes", m_Misc.m_MotionVolumesBox); + m_SignalGen.m_MotionVolumes.clear(); + if (m_Misc.m_MotionVolumesBox=="random") + { + for (int i=0; i> n) + { + if (n=0) + m_SignalGen.m_MotionVolumes[n]=true; + } + } + // m_SignalGen.SetNumWeightedVolumes(ReadVal(v1,"numgradients", m_SignalGen.GetNumWeightedVolumes())); SignalGenerationParameters::GradientListType gradients; BOOST_FOREACH( boost::property_tree::ptree::value_type const& v2, v1.second.get_child("gradients") ) { SignalGenerationParameters::GradientType g; g[0] = ReadVal(v2,"x",0); g[1] = ReadVal(v2,"y",0); g[2] = ReadVal(v2,"z",0); gradients.push_back(g); } m_SignalGen.SetGradienDirections(gradients); try { if (ReadVal(v1,"artifacts.noisetype","")=="rice") { m_NoiseModel = new mitk::RicianNoiseModel(); m_NoiseModel->SetNoiseVariance(ReadVal(v1,"artifacts.noisevariance",m_NoiseModel->GetNoiseVariance())); } } catch(...) {} try { if (ReadVal(v1,"artifacts.noisetype","")=="chisquare") { m_NoiseModel = new mitk::ChiSquareNoiseModel(); m_NoiseModel->SetNoiseVariance(ReadVal(v1,"artifacts.noisevariance",m_NoiseModel->GetNoiseVariance())); } } catch(...){ } BOOST_FOREACH( boost::property_tree::ptree::value_type const& v2, v1.second.get_child("compartments") ) { mitk::DiffusionSignalModel* signalModel = NULL; std::string model = ReadVal(v2,"model","",true); if (model=="stick") { mitk::StickModel* model = new mitk::StickModel(); model->SetDiffusivity(ReadVal(v2,"d",model->GetDiffusivity())); model->SetT2(ReadVal(v2,"t2",model->GetT2())); model->SetT1(ReadVal(v2,"t1",model->GetT1())); model->m_CompartmentId = ReadVal(v2,"ID",0,true); if (ReadVal(v2,"type","",true)=="fiber") m_FiberModelList.push_back(model); else if (ReadVal(v2,"type","",true)=="non-fiber") m_NonFiberModelList.push_back(model); signalModel = model; } else if (model=="tensor") { mitk::TensorModel* model = new mitk::TensorModel(); model->SetDiffusivity1(ReadVal(v2,"d1",model->GetDiffusivity1())); model->SetDiffusivity2(ReadVal(v2,"d2",model->GetDiffusivity2())); model->SetDiffusivity3(ReadVal(v2,"d3",model->GetDiffusivity3())); model->SetT2(ReadVal(v2,"t2",model->GetT2())); model->SetT1(ReadVal(v2,"t1",model->GetT1())); model->m_CompartmentId = ReadVal(v2,"ID",0,true); if (ReadVal(v2,"type","",true)=="fiber") m_FiberModelList.push_back(model); else if (ReadVal(v2,"type","",true)=="non-fiber") m_NonFiberModelList.push_back(model); signalModel = model; } else if (model=="ball") { mitk::BallModel* model = new mitk::BallModel(); model->SetDiffusivity(ReadVal(v2,"d",model->GetDiffusivity())); model->SetT2(ReadVal(v2,"t2",model->GetT2())); model->SetT1(ReadVal(v2,"t1",model->GetT1())); model->m_CompartmentId = ReadVal(v2,"ID",0,true); if (ReadVal(v2,"type","",true)=="fiber") m_FiberModelList.push_back(model); else if (ReadVal(v2,"type","",true)=="non-fiber") m_NonFiberModelList.push_back(model); signalModel = model; } else if (model=="astrosticks") { mitk::AstroStickModel* model = new AstroStickModel(); model->SetDiffusivity(ReadVal(v2,"d",model->GetDiffusivity())); model->SetT2(ReadVal(v2,"t2",model->GetT2())); model->SetT1(ReadVal(v2,"t1",model->GetT1())); model->SetRandomizeSticks(ReadVal(v2,"randomize",model->GetRandomizeSticks())); model->m_CompartmentId = ReadVal(v2,"ID",0,true); if (ReadVal(v2,"type","",true)=="fiber") m_FiberModelList.push_back(model); else if (ReadVal(v2,"type","",true)=="non-fiber") m_NonFiberModelList.push_back(model); signalModel = model; } else if (model=="dot") { mitk::DotModel* model = new mitk::DotModel(); model->SetT2(ReadVal(v2,"t2",model->GetT2())); model->SetT1(ReadVal(v2,"t1",model->GetT1())); model->m_CompartmentId = ReadVal(v2,"ID",0,true); if (ReadVal(v2,"type","",true)=="fiber") m_FiberModelList.push_back(model); else if (ReadVal(v2,"type","",true)=="non-fiber") m_NonFiberModelList.push_back(model); signalModel = model; } else if (model=="prototype") { mitk::RawShModel* model = new mitk::RawShModel(); model->SetMaxNumKernels(ReadVal(v2,"maxNumSamples",model->GetMaxNumKernels())); model->SetFaRange(ReadVal(v2,"minFA",model->GetFaRange().first), ReadVal(v2,"maxFA",model->GetFaRange().second)); model->SetAdcRange(ReadVal(v2,"minADC",model->GetAdcRange().first), ReadVal(v2,"maxADC",model->GetAdcRange().second)); model->m_CompartmentId = ReadVal(v2,"ID",0,true); unsigned int numCoeffs = ReadVal(v2,"numCoeffs",0,true); unsigned int numSamples = ReadVal(v2,"numSamples",0,true); for (unsigned int j=0; j coeffs(numCoeffs); for (unsigned int k=0; k(v2,"kernels."+boost::lexical_cast(j)+".coeffs."+boost::lexical_cast(k),0,true); } model->SetShCoefficients( coeffs, ReadVal(v2,"kernels."+boost::lexical_cast(j)+".B0",0,true) ); } if (ReadVal(v2,"type","",true)=="fiber") m_FiberModelList.push_back(model); else if (ReadVal(v2,"type","",true)=="non-fiber") m_NonFiberModelList.push_back(model); signalModel = model; } if (signalModel!=NULL) { signalModel->SetGradientList(gradients); try{ itk::ImageFileReader::Pointer reader = itk::ImageFileReader::New(); reader->SetFileName(filename+"_VOLUME"+ReadVal(v2,"ID","")+".nrrd"); reader->Update(); signalModel->SetVolumeFractionImage(reader->GetOutput()); MITK_INFO << "Volume fraction image loaded for compartment " << signalModel->m_CompartmentId; } catch(...) { MITK_INFO << "No volume fraction image found for compartment " << signalModel->m_CompartmentId; } } } } } try{ itk::ImageFileReader::Pointer reader = itk::ImageFileReader::New(); reader->SetFileName(filename+"_FMAP.nrrd"); reader->Update(); m_SignalGen.m_FrequencyMap = reader->GetOutput(); MITK_INFO << "Frequency map loaded."; } catch(...) { MITK_INFO << "No frequency map found."; } try{ itk::ImageFileReader::Pointer reader = itk::ImageFileReader::New(); reader->SetFileName(filename+"_MASK.nrrd"); reader->Update(); m_SignalGen.m_MaskImage = reader->GetOutput(); MITK_INFO << "Mask image loaded."; } catch(...) { MITK_INFO << "No mask image found."; } setlocale(LC_ALL, currLocale.c_str()); } template< class ScalarType > void mitk::FiberfoxParameters< ScalarType >::PrintSelf() { MITK_INFO << "Not implemented :("; } diff --git a/Modules/DiffusionImaging/FiberTracking/IODataStructures/mitkFiberfoxParameters.h b/Modules/DiffusionImaging/FiberTracking/IODataStructures/mitkFiberfoxParameters.h index 59872e8ba0..efa2e3f0df 100644 --- a/Modules/DiffusionImaging/FiberTracking/IODataStructures/mitkFiberfoxParameters.h +++ b/Modules/DiffusionImaging/FiberTracking/IODataStructures/mitkFiberfoxParameters.h @@ -1,353 +1,356 @@ /*=================================================================== 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. ===================================================================*/ #ifndef _MITK_FiberfoxParameters_H #define _MITK_FiberfoxParameters_H #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include using namespace std; namespace mitk { /** Signal generation */ class SignalGenerationParameters { public: typedef itk::Image ItkDoubleImgType; typedef itk::Image ItkUcharImgType; typedef itk::Vector GradientType; typedef std::vector GradientListType; enum DiffusionDirectionMode : int { FIBER_TANGENT_DIRECTIONS, MAIN_FIBER_DIRECTIONS, RANDOM_DIRECTIONS }; enum CoilSensitivityProfile : int { COIL_CONSTANT, COIL_LINEAR, COIL_EXPONENTIAL }; enum AcquisitionType : int { SingleShotEpi, Cartesian }; SignalGenerationParameters() : m_AcquisitionType(SignalGenerationParameters::SingleShotEpi) , m_SignalScale(100) , m_tEcho(100) , m_tRep(4000) , m_tLine(1) , m_tInhom(50) , m_ReversePhase(false) , m_PartialFourier(1.0) , m_NoiseVariance(0.001) , m_NumberOfCoils(1) , m_CoilSensitivityProfile(SignalGenerationParameters::COIL_CONSTANT) , m_Bvalue(1000) , m_SimulateKspaceAcquisition(false) , m_AxonRadius(0) , m_DoDisablePartialVolume(false) , m_DiffusionDirectionMode(SignalGenerationParameters::FIBER_TANGENT_DIRECTIONS) , m_FiberSeparationThreshold(30) , m_Spikes(0) , m_SpikeAmplitude(1) , m_KspaceLineOffset(0) , m_EddyStrength(300) , m_Tau(70) , m_CroppingFactor(1) , m_DoAddGibbsRinging(false) , m_DoSimulateRelaxation(true) , m_DoAddMotion(false) , m_DoRandomizeMotion(true) , m_FrequencyMap(NULL) , m_MaskImage(NULL) { m_ImageRegion.SetSize(0, 12); m_ImageRegion.SetSize(1, 12); m_ImageRegion.SetSize(2, 3); m_ImageSpacing.Fill(2.0); m_ImageOrigin.Fill(0.0); m_ImageDirection.SetIdentity(); m_Translation.Fill(0.0); m_Rotation.Fill(0.0); SetNumWeightedVolumes(6); } /** input/output image specifications */ itk::ImageRegion<3> m_CroppedRegion; ///< Image size with reduced FOV. itk::ImageRegion<3> m_ImageRegion; ///< Image size. itk::Vector m_ImageSpacing; ///< Image voxel size. itk::Point m_ImageOrigin; ///< Image origin. itk::Matrix m_ImageDirection; ///< Image rotation matrix. /** Other acquisitions parameters */ AcquisitionType m_AcquisitionType; ///< determines k-space trajectory and maximum echo position(s) double m_SignalScale; ///< Scaling factor for output signal (before noise is added). double m_tEcho; ///< Echo time TE. double m_tRep; ///< Echo time TR. double m_tLine; ///< k-space line readout time (dwell time). double m_tInhom; ///< T2' bool m_ReversePhase; ///< If true, the phase readout direction will be inverted (-y instead of y) double m_PartialFourier; ///< Partial fourier factor (0.5-1) double m_NoiseVariance; ///< Variance of complex gaussian noise int m_NumberOfCoils; ///< Number of coils in multi-coil acquisition CoilSensitivityProfile m_CoilSensitivityProfile; ///< Choose between constant, linear or exponential sensitivity profile of the used coils double m_Bvalue; ///< Acquisition b-value bool m_SimulateKspaceAcquisition;///< Flag to enable/disable k-space acquisition simulation double m_AxonRadius; ///< Determines compartment volume fractions (0 == automatic axon radius estimation) bool m_DoDisablePartialVolume; ///< Disable partial volume effects. Each voxel is either all fiber or all non-fiber. DiffusionDirectionMode m_DiffusionDirectionMode; ///< Determines how the main diffusion direction of the signal models is selected double m_FiberSeparationThreshold; ///< Used for random and and mein fiber deriction DiffusionDirectionMode /** Artifacts and other effects */ unsigned int m_Spikes; ///< Number of spikes randomly appearing in the image double m_SpikeAmplitude; ///< amplitude of spikes relative to the largest signal intensity (magnitude of complex) double m_KspaceLineOffset; ///< Causes N/2 ghosts. Larger offset means stronger ghost. double m_EddyStrength; ///< Strength of eddy current induced gradients in mT/m. double m_Tau; ///< Eddy current decay constant (in ms) double m_CroppingFactor; ///< FOV size in y-direction is multiplied by this factor. Causes aliasing artifacts. bool m_DoAddGibbsRinging; ///< Add Gibbs ringing artifact bool m_DoSimulateRelaxation; ///< Add T2 relaxation effects bool m_DoAddMotion; ///< Enable motion artifacts. bool m_DoRandomizeMotion; ///< Toggles between random and linear motion. + std::vector< bool > m_MotionVolumes; ///< Indicates the image volumes that are affected by motion itk::Vector m_Translation; ///< Maximum translational motion. itk::Vector m_Rotation; ///< Maximum rotational motion. ItkDoubleImgType::Pointer m_FrequencyMap; ///< If != NULL, distortions are added to the image using this frequency map. ItkUcharImgType::Pointer m_MaskImage; ///< Signal is only genrated inside of the mask image. inline void GenerateGradientHalfShell(); ///< Generates half shell of gradient directions (with m_NumGradients non-zero directions) inline std::vector< int > GetBaselineIndices(); ///< Returns list of nun-diffusion-weighted image volume indices inline unsigned int GetFirstBaselineIndex(); ///< Returns index of first non-diffusion-weighted image volume inline bool IsBaselineIndex(unsigned int idx); ///< Checks if image volume with given index is non-diffusion-weighted volume or not. inline unsigned int GetNumWeightedVolumes(); ///< Get number of diffusion-weighted image volumes inline unsigned int GetNumBaselineVolumes(); ///< Get number of non-diffusion-weighted image volumes inline unsigned int GetNumVolumes(); ///< Get number of baseline and diffusion-weighted image volumes inline GradientListType GetGradientDirections(); ///< Return gradient direction container inline GradientType GetGradientDirection(unsigned int i); inline void SetNumWeightedVolumes(int numGradients); ///< Automaticall calls GenerateGradientHalfShell() afterwards. inline void SetGradienDirections(GradientListType gradientList); inline void SetGradienDirections(mitk::DiffusionPropertyHelper::GradientDirectionsContainerType::Pointer gradientList); protected: unsigned int m_NumGradients; ///< Number of diffusion-weighted image volumes. unsigned int m_NumBaseline; ///< Number of non-diffusion-weighted image volumes. GradientListType m_GradientDirections; ///< Total number of image volumes. }; /** Fiber generation */ class FiberGenerationParameters { public: enum FiberDistribution{ DISTRIBUTE_UNIFORM, // distribute fibers uniformly in the ROIs DISTRIBUTE_GAUSSIAN // distribute fibers using a 2D gaussian }; typedef vector< vector< mitk::PlanarEllipse::Pointer > > FiducialListType; typedef vector< vector< unsigned int > > FlipListType; FiberGenerationParameters() : m_Distribution(DISTRIBUTE_UNIFORM) , m_Density(100) , m_Variance(100) , m_Sampling(1) , m_Tension(0) , m_Continuity(0) , m_Bias(0) { m_Rotation.Fill(0.0); m_Translation.Fill(0.0); m_Scale.Fill(1.0); } FiberDistribution m_Distribution; unsigned int m_Density; double m_Variance; double m_Sampling; double m_Tension; double m_Continuity; double m_Bias; mitk::Vector3D m_Rotation; mitk::Vector3D m_Translation; mitk::Vector3D m_Scale; FlipListType m_FlipList; ///< contains flags indicating a flip of the 2D fiber x-coordinates (needed to resolve some unwanted fiber twisting) FiducialListType m_Fiducials; ///< container of the planar ellipses used as fiducials for the fiber generation process }; /** GUI persistence, input, output, ... */ class MiscFiberfoxParameters { public: MiscFiberfoxParameters() : m_ResultNode(DataNode::New()) , m_ParentNode(NULL) , m_SignalModelString("") , m_ArtifactModelString("") , m_OutputPath("") , m_CheckOutputVolumeFractionsBox(false) , m_CheckAdvancedSignalOptionsBox(false) , m_CheckAddNoiseBox(false) , m_CheckAddGhostsBox(false) , m_CheckAddAliasingBox(false) , m_CheckAddSpikesBox(false) , m_CheckAddEddyCurrentsBox(false) , m_CheckAddDistortionsBox(false) + , m_MotionVolumesBox("random") , m_CheckRealTimeFibersBox(true) , m_CheckAdvancedFiberOptionsBox(false) , m_CheckConstantRadiusBox(false) , m_CheckIncludeFiducialsBox(true) {} DataNode::Pointer m_ResultNode; ///< Stores resulting image. DataNode::Pointer m_ParentNode; ///< Parent node of result node. string m_SignalModelString; ///< Appendet to the name of the result node string m_ArtifactModelString; ///< Appendet to the name of the result node string m_OutputPath; ///< Image is automatically saved to the specified folder after simulation is finished. string m_AfterSimulationMessage; ///< Store messages that are displayed after the simulation has finished (e.g. warnings, automatic parameter adjustments etc.) /** member variables that store the check-state of GUI checkboxes */ // image generation bool m_CheckOutputVolumeFractionsBox; bool m_CheckAdvancedSignalOptionsBox; bool m_CheckAddNoiseBox; bool m_CheckAddGhostsBox; bool m_CheckAddAliasingBox; bool m_CheckAddSpikesBox; bool m_CheckAddEddyCurrentsBox; bool m_CheckAddDistortionsBox; + string m_MotionVolumesBox; // fiber generation bool m_CheckRealTimeFibersBox; bool m_CheckAdvancedFiberOptionsBox; bool m_CheckConstantRadiusBox; bool m_CheckIncludeFiducialsBox; }; /** * \brief Datastructure to manage the Fiberfox signal generation parameters. * */ template< class ScalarType = double > class FiberfoxParameters { public: typedef itk::Image ItkDoubleImgType; typedef itk::Image ItkUcharImgType; typedef DiffusionSignalModel DiffusionModelType; typedef std::vector< DiffusionModelType* > DiffusionModelListType; typedef DiffusionNoiseModel NoiseModelType; FiberfoxParameters(); ~FiberfoxParameters(); /** Get same parameter object with different template parameter */ template< class OutType > FiberfoxParameters< OutType > CopyParameters() { FiberfoxParameters< OutType > out; out.m_FiberGen = m_FiberGen; out.m_SignalGen = m_SignalGen; out.m_Misc = m_Misc; if (m_NoiseModel!=NULL) { if (dynamic_cast*>(m_NoiseModel)) out.m_NoiseModel = new mitk::RicianNoiseModel(); else if (dynamic_cast*>(m_NoiseModel)) out.m_NoiseModel = new mitk::ChiSquareNoiseModel(); out.m_NoiseModel->SetNoiseVariance(m_NoiseModel->GetNoiseVariance()); } for (unsigned int i=0; i* outModel = NULL; mitk::DiffusionSignalModel* signalModel = NULL; if (i*>(signalModel)) outModel = new mitk::StickModel(dynamic_cast*>(signalModel)); else if (dynamic_cast*>(signalModel)) outModel = new mitk::TensorModel(dynamic_cast*>(signalModel)); else if (dynamic_cast*>(signalModel)) outModel = new mitk::RawShModel(dynamic_cast*>(signalModel)); else if (dynamic_cast*>(signalModel)) outModel = new mitk::BallModel(dynamic_cast*>(signalModel)); else if (dynamic_cast*>(signalModel)) outModel = new mitk::AstroStickModel(dynamic_cast*>(signalModel)); else if (dynamic_cast*>(signalModel)) outModel = new mitk::DotModel(dynamic_cast*>(signalModel)); if (i ParameterType ReadVal(boost::property_tree::ptree::value_type const& v, std::string tag, ParameterType defaultValue, bool essential=false); std::string m_MissingTags; }; } #include "mitkFiberfoxParameters.cpp" #endif diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging/src/internal/QmitkFiberfoxView.cpp b/Plugins/org.mitk.gui.qt.diffusionimaging/src/internal/QmitkFiberfoxView.cpp index 3ec593cdcd..50cfa24249 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging/src/internal/QmitkFiberfoxView.cpp +++ b/Plugins/org.mitk.gui.qt.diffusionimaging/src/internal/QmitkFiberfoxView.cpp @@ -1,2834 +1,2857 @@ /*=================================================================== 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. ===================================================================*/ //misc #define _USE_MATH_DEFINES #include // Blueberry #include #include // Qmitk #include "QmitkFiberfoxView.h" // MITK #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #define RAPIDXML_NO_EXCEPTIONS #include #include #include #include #include "usModuleRegistry.h" #include #include #include #include #include #include #include #include #include #include "mitkNodePredicateDataType.h" #include #include #include #include #define _USE_MATH_DEFINES #include QmitkFiberfoxWorker::QmitkFiberfoxWorker(QmitkFiberfoxView* view) : m_View(view) { } void QmitkFiberfoxWorker::run() { try{ switch (m_FilterType) { case 0: m_View->m_TractsToDwiFilter->Update(); break; case 1: m_View->m_ArtifactsToDwiFilter->Update(); break; } } catch( ... ) { } m_View->m_Thread.quit(); } const std::string QmitkFiberfoxView::VIEW_ID = "org.mitk.views.fiberfoxview"; QmitkFiberfoxView::QmitkFiberfoxView() : QmitkAbstractView() , m_Controls( 0 ) , m_SelectedImageNode( NULL ) , m_Worker(this) , m_ThreadIsRunning(false) { m_Worker.moveToThread(&m_Thread); connect(&m_Thread, SIGNAL(started()), this, SLOT(BeforeThread())); connect(&m_Thread, SIGNAL(started()), &m_Worker, SLOT(run())); connect(&m_Thread, SIGNAL(finished()), this, SLOT(AfterThread())); // connect(&m_Thread, SIGNAL(terminated()), this, SLOT(AfterThread())); m_SimulationTimer = new QTimer(this); } void QmitkFiberfoxView::KillThread() { MITK_INFO << "Aborting DWI simulation."; switch (m_Worker.m_FilterType) { case 0: m_TractsToDwiFilter->SetAbortGenerateData(true); break; case 1: m_ArtifactsToDwiFilter->SetAbortGenerateData(true); break; } m_Controls->m_AbortSimulationButton->setEnabled(false); m_Controls->m_AbortSimulationButton->setText("Aborting simulation ..."); } void QmitkFiberfoxView::BeforeThread() { m_SimulationTime = QTime::currentTime(); m_SimulationTimer->start(100); m_Controls->m_AbortSimulationButton->setVisible(true); m_Controls->m_GenerateImageButton->setVisible(false); m_Controls->m_SimulationStatusText->setVisible(true); m_ThreadIsRunning = true; } void QmitkFiberfoxView::AfterThread() { UpdateSimulationStatus(); m_SimulationTimer->stop(); m_Controls->m_AbortSimulationButton->setVisible(false); m_Controls->m_AbortSimulationButton->setEnabled(true); m_Controls->m_AbortSimulationButton->setText("Abort simulation"); m_Controls->m_GenerateImageButton->setVisible(true); m_ThreadIsRunning = false; QString statusText; FiberfoxParameters parameters; mitk::Image::Pointer mitkImage = mitk::Image::New(); switch (m_Worker.m_FilterType) { case 0: { statusText = QString(m_TractsToDwiFilter->GetStatusText().c_str()); if (m_TractsToDwiFilter->GetAbortGenerateData()) { MITK_INFO << "Simulation aborted."; return; } parameters = m_TractsToDwiFilter->GetParameters(); mitkImage = mitk::GrabItkImageMemory( m_TractsToDwiFilter->GetOutput() ); mitkImage->SetProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( parameters.m_SignalGen.GetGradientDirections() )); mitkImage->SetProperty( mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str(), mitk::FloatProperty::New( parameters.m_SignalGen.m_Bvalue )); mitk::DiffusionPropertyHelper propertyHelper( mitkImage ); propertyHelper.InitializeImage(); parameters.m_Misc.m_ResultNode->SetData( mitkImage ); parameters.m_Misc.m_ResultNode->SetName(parameters.m_Misc.m_ParentNode->GetName() +"_D"+QString::number(parameters.m_SignalGen.m_ImageRegion.GetSize(0)).toStdString() +"-"+QString::number(parameters.m_SignalGen.m_ImageRegion.GetSize(1)).toStdString() +"-"+QString::number(parameters.m_SignalGen.m_ImageRegion.GetSize(2)).toStdString() +"_S"+QString::number(parameters.m_SignalGen.m_ImageSpacing[0]).toStdString() +"-"+QString::number(parameters.m_SignalGen.m_ImageSpacing[1]).toStdString() +"-"+QString::number(parameters.m_SignalGen.m_ImageSpacing[2]).toStdString() +"_b"+QString::number(parameters.m_SignalGen.m_Bvalue).toStdString() +"_"+parameters.m_Misc.m_SignalModelString +parameters.m_Misc.m_ArtifactModelString); GetDataStorage()->Add(parameters.m_Misc.m_ResultNode, parameters.m_Misc.m_ParentNode); parameters.m_Misc.m_ResultNode->SetProperty( "levelwindow", mitk::LevelWindowProperty::New(m_TractsToDwiFilter->GetLevelWindow()) ); if (m_Controls->m_VolumeFractionsBox->isChecked()) { std::vector< itk::TractsToDWIImageFilter< short >::ItkDoubleImgType::Pointer > volumeFractions = m_TractsToDwiFilter->GetVolumeFractions(); for (unsigned int k=0; kInitializeByItk(volumeFractions.at(k).GetPointer()); image->SetVolume(volumeFractions.at(k)->GetBufferPointer()); mitk::DataNode::Pointer node = mitk::DataNode::New(); node->SetData( image ); node->SetName("CompartmentVolume-"+QString::number(k).toStdString()); GetDataStorage()->Add(node, parameters.m_Misc.m_ResultNode); } if (m_TractsToDwiFilter->GetPhaseImage().IsNotNull()) { mitk::Image::Pointer phaseImage = mitk::Image::New(); itk::TractsToDWIImageFilter< short >::DoubleDwiType::Pointer itkPhase = m_TractsToDwiFilter->GetPhaseImage(); phaseImage = mitk::GrabItkImageMemory( itkPhase.GetPointer() ); mitk::DataNode::Pointer phaseNode = mitk::DataNode::New(); phaseNode->SetData( phaseImage ); phaseNode->SetName("Phase Image"); GetDataStorage()->Add(phaseNode, parameters.m_Misc.m_ResultNode); } if (m_TractsToDwiFilter->GetKspaceImage().IsNotNull()) { mitk::Image::Pointer image = mitk::Image::New(); itk::TractsToDWIImageFilter< short >::DoubleDwiType::Pointer itkImage = m_TractsToDwiFilter->GetKspaceImage(); image = mitk::GrabItkImageMemory( itkImage.GetPointer() ); mitk::DataNode::Pointer node = mitk::DataNode::New(); node->SetData( image ); node->SetName("k-Space"); GetDataStorage()->Add(node, parameters.m_Misc.m_ResultNode); } { mitk::DataNode::Pointer node = mitk::DataNode::New(); node->SetData(m_TractsToDwiFilter->GetCoilPointset()); node->SetName("Coil Positions"); node->SetProperty("pointsize", mitk::FloatProperty::New(parameters.m_SignalGen.m_ImageSpacing[0]/4)); node->SetProperty("color", mitk::ColorProperty::New(0, 1, 0)); GetDataStorage()->Add(node, parameters.m_Misc.m_ResultNode); } } m_TractsToDwiFilter = NULL; if (parameters.m_Misc.m_AfterSimulationMessage.size()>0) QMessageBox::information( NULL, "Warning", parameters.m_Misc.m_AfterSimulationMessage.c_str()); break; } case 1: { statusText = QString(m_ArtifactsToDwiFilter->GetStatusText().c_str()); if (m_ArtifactsToDwiFilter->GetAbortGenerateData()) { MITK_INFO << "Simulation aborted."; return; } parameters = m_ArtifactsToDwiFilter->GetParameters().CopyParameters(); mitk::Image::Pointer diffImg = dynamic_cast(parameters.m_Misc.m_ParentNode->GetData()); mitkImage = mitk::GrabItkImageMemory( m_ArtifactsToDwiFilter->GetOutput() ); mitkImage->SetProperty( mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str(), mitk::GradientDirectionsProperty::New( static_cast( diffImg->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer() ) ); mitkImage->SetProperty( mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str(), mitk::FloatProperty::New( static_cast( diffImg->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() )->GetValue() ) ); mitk::DiffusionPropertyHelper propertyHelper( mitkImage ); propertyHelper.InitializeImage(); parameters.m_Misc.m_ResultNode->SetData( mitkImage ); parameters.m_Misc.m_ResultNode->SetName(parameters.m_Misc.m_ParentNode->GetName()+parameters.m_Misc.m_ArtifactModelString); GetDataStorage()->Add(parameters.m_Misc.m_ResultNode, parameters.m_Misc.m_ParentNode); m_ArtifactsToDwiFilter = NULL; break; } } mitk::BaseData::Pointer basedata = parameters.m_Misc.m_ResultNode->GetData(); if (basedata.IsNotNull()) { mitk::RenderingManager::GetInstance()->InitializeViews( basedata->GetTimeGeometry(), mitk::RenderingManager::REQUEST_UPDATE_ALL, true ); mitk::RenderingManager::GetInstance()->RequestUpdateAll(); } if (!parameters.m_Misc.m_OutputPath.empty()) { try{ QString outputFileName(parameters.m_Misc.m_OutputPath.c_str()); outputFileName += parameters.m_Misc.m_ResultNode->GetName().c_str(); outputFileName.replace(QString("."), QString("_")); outputFileName += ".dwi"; QString status("Saving output image to "); status += outputFileName; m_Controls->m_SimulationStatusText->append(status); mitk::IOUtil::SaveBaseData(mitkImage, outputFileName.toStdString()); m_Controls->m_SimulationStatusText->append("File saved successfully."); } catch (itk::ExceptionObject &e) { QString status("Exception during DWI writing: "); status += e.GetDescription(); m_Controls->m_SimulationStatusText->append(status); } catch (...) { m_Controls->m_SimulationStatusText->append("Unknown exception during DWI writing!"); } } parameters.m_SignalGen.m_FrequencyMap = NULL; } void QmitkFiberfoxView::UpdateSimulationStatus() { QString statusText; switch (m_Worker.m_FilterType) { case 0: statusText = QString(m_TractsToDwiFilter->GetStatusText().c_str()); break; case 1: statusText = QString(m_ArtifactsToDwiFilter->GetStatusText().c_str()); break; } if (QString::compare(m_SimulationStatusText,statusText)!=0) { m_Controls->m_SimulationStatusText->clear(); statusText = "
"+statusText+"
"; m_Controls->m_SimulationStatusText->setText(statusText); QScrollBar *vScrollBar = m_Controls->m_SimulationStatusText->verticalScrollBar(); vScrollBar->triggerAction(QScrollBar::SliderToMaximum); } } // Destructor QmitkFiberfoxView::~QmitkFiberfoxView() { delete m_SimulationTimer; } void QmitkFiberfoxView::CreateQtPartControl( QWidget *parent ) { // build up qt view, unless already done if ( !m_Controls ) { // create GUI widgets from the Qt Designer's .ui file m_Controls = new Ui::QmitkFiberfoxViewControls; m_Controls->setupUi( parent ); m_Controls->m_StickWidget1->setVisible(true); m_Controls->m_StickWidget2->setVisible(false); m_Controls->m_ZeppelinWidget1->setVisible(false); m_Controls->m_ZeppelinWidget2->setVisible(false); m_Controls->m_TensorWidget1->setVisible(false); m_Controls->m_TensorWidget2->setVisible(false); m_Controls->m_BallWidget1->setVisible(true); m_Controls->m_BallWidget2->setVisible(false); m_Controls->m_AstrosticksWidget1->setVisible(false); m_Controls->m_AstrosticksWidget2->setVisible(false); m_Controls->m_DotWidget1->setVisible(false); m_Controls->m_DotWidget2->setVisible(false); m_Controls->m_PrototypeWidget1->setVisible(false); m_Controls->m_PrototypeWidget2->setVisible(false); m_Controls->m_PrototypeWidget3->setVisible(false); m_Controls->m_PrototypeWidget4->setVisible(false); m_Controls->m_PrototypeWidget3->SetMinFa(0.0); m_Controls->m_PrototypeWidget3->SetMaxFa(0.15); m_Controls->m_PrototypeWidget4->SetMinFa(0.0); m_Controls->m_PrototypeWidget4->SetMaxFa(0.15); m_Controls->m_PrototypeWidget3->SetMinAdc(0.0); m_Controls->m_PrototypeWidget3->SetMaxAdc(0.001); m_Controls->m_PrototypeWidget4->SetMinAdc(0.003); m_Controls->m_PrototypeWidget4->SetMaxAdc(0.004); m_Controls->m_Comp2FractionFrame->setVisible(false); m_Controls->m_Comp4FractionFrame->setVisible(false); m_Controls->m_DiffusionPropsMessage->setVisible(false); m_Controls->m_GeometryMessage->setVisible(false); m_Controls->m_AdvancedSignalOptionsFrame->setVisible(false); m_Controls->m_AdvancedFiberOptionsFrame->setVisible(false); m_Controls->m_VarianceBox->setVisible(false); m_Controls->m_NoiseFrame->setVisible(false); m_Controls->m_GhostFrame->setVisible(false); m_Controls->m_DistortionsFrame->setVisible(false); m_Controls->m_EddyFrame->setVisible(false); m_Controls->m_SpikeFrame->setVisible(false); m_Controls->m_AliasingFrame->setVisible(false); m_Controls->m_MotionArtifactFrame->setVisible(false); m_ParameterFile = QDir::currentPath()+"/param.ffp"; m_Controls->m_AbortSimulationButton->setVisible(false); m_Controls->m_SimulationStatusText->setVisible(false); m_Controls->m_FrequencyMapBox->SetDataStorage(this->GetDataStorage()); m_Controls->m_Comp1VolumeFraction->SetDataStorage(this->GetDataStorage()); m_Controls->m_Comp2VolumeFraction->SetDataStorage(this->GetDataStorage()); m_Controls->m_Comp3VolumeFraction->SetDataStorage(this->GetDataStorage()); m_Controls->m_Comp4VolumeFraction->SetDataStorage(this->GetDataStorage()); m_Controls->m_MaskComboBox->SetDataStorage(this->GetDataStorage()); m_Controls->m_TemplateComboBox->SetDataStorage(this->GetDataStorage()); m_Controls->m_FiberBundleComboBox->SetDataStorage(this->GetDataStorage()); mitk::TNodePredicateDataType::Pointer isFiberBundle = mitk::TNodePredicateDataType::New(); mitk::TNodePredicateDataType::Pointer isMitkImage = mitk::TNodePredicateDataType::New(); mitk::NodePredicateIsDWI::Pointer isDwi = mitk::NodePredicateIsDWI::New( ); mitk::NodePredicateDataType::Pointer isDti = mitk::NodePredicateDataType::New("TensorImage"); mitk::NodePredicateDataType::Pointer isQbi = mitk::NodePredicateDataType::New("QBallImage"); mitk::NodePredicateOr::Pointer isDiffusionImage = mitk::NodePredicateOr::New(isDwi, isDti); isDiffusionImage = mitk::NodePredicateOr::New(isDiffusionImage, isQbi); mitk::NodePredicateNot::Pointer noDiffusionImage = mitk::NodePredicateNot::New(isDiffusionImage); mitk::NodePredicateAnd::Pointer isNonDiffMitkImage = mitk::NodePredicateAnd::New(isMitkImage, noDiffusionImage); mitk::NodePredicateProperty::Pointer isBinaryPredicate = mitk::NodePredicateProperty::New("binary", mitk::BoolProperty::New(true)); mitk::NodePredicateAnd::Pointer isBinaryMitkImage = mitk::NodePredicateAnd::New( isNonDiffMitkImage, isBinaryPredicate ); m_Controls->m_FrequencyMapBox->SetPredicate(isNonDiffMitkImage); m_Controls->m_Comp1VolumeFraction->SetPredicate(isNonDiffMitkImage); m_Controls->m_Comp1VolumeFraction->SetZeroEntryText("--"); m_Controls->m_Comp2VolumeFraction->SetPredicate(isNonDiffMitkImage); m_Controls->m_Comp2VolumeFraction->SetZeroEntryText("--"); m_Controls->m_Comp3VolumeFraction->SetPredicate(isNonDiffMitkImage); m_Controls->m_Comp3VolumeFraction->SetZeroEntryText("--"); m_Controls->m_Comp4VolumeFraction->SetPredicate(isNonDiffMitkImage); m_Controls->m_Comp4VolumeFraction->SetZeroEntryText("--"); m_Controls->m_MaskComboBox->SetPredicate(isBinaryMitkImage); m_Controls->m_MaskComboBox->SetZeroEntryText("--"); m_Controls->m_TemplateComboBox->SetPredicate(isMitkImage); m_Controls->m_TemplateComboBox->SetZeroEntryText("--"); m_Controls->m_FiberBundleComboBox->SetPredicate(isFiberBundle); m_Controls->m_FiberBundleComboBox->SetZeroEntryText("--"); // mitk::NodePredicateDimension::Pointer dimensionPredicate = mitk::NodePredicateDimension::New(3); connect( m_SimulationTimer, SIGNAL(timeout()), this, SLOT(UpdateSimulationStatus()) ); connect((QObject*) m_Controls->m_AbortSimulationButton, SIGNAL(clicked()), (QObject*) this, SLOT(KillThread())); connect((QObject*) m_Controls->m_GenerateImageButton, SIGNAL(clicked()), (QObject*) this, SLOT(GenerateImage())); connect((QObject*) m_Controls->m_GenerateFibersButton, SIGNAL(clicked()), (QObject*) this, SLOT(GenerateFibers())); connect((QObject*) m_Controls->m_CircleButton, SIGNAL(clicked()), (QObject*) this, SLOT(OnDrawROI())); connect((QObject*) m_Controls->m_FlipButton, SIGNAL(clicked()), (QObject*) this, SLOT(OnFlipButton())); connect((QObject*) m_Controls->m_JoinBundlesButton, SIGNAL(clicked()), (QObject*) this, SLOT(JoinBundles())); connect((QObject*) m_Controls->m_VarianceBox, SIGNAL(valueChanged(double)), (QObject*) this, SLOT(OnVarianceChanged(double))); connect((QObject*) m_Controls->m_DistributionBox, SIGNAL(currentIndexChanged(int)), (QObject*) this, SLOT(OnDistributionChanged(int))); connect((QObject*) m_Controls->m_FiberDensityBox, SIGNAL(valueChanged(int)), (QObject*) this, SLOT(OnFiberDensityChanged(int))); connect((QObject*) m_Controls->m_FiberSamplingBox, SIGNAL(valueChanged(double)), (QObject*) this, SLOT(OnFiberSamplingChanged(double))); connect((QObject*) m_Controls->m_TensionBox, SIGNAL(valueChanged(double)), (QObject*) this, SLOT(OnTensionChanged(double))); connect((QObject*) m_Controls->m_ContinuityBox, SIGNAL(valueChanged(double)), (QObject*) this, SLOT(OnContinuityChanged(double))); connect((QObject*) m_Controls->m_BiasBox, SIGNAL(valueChanged(double)), (QObject*) this, SLOT(OnBiasChanged(double))); connect((QObject*) m_Controls->m_AddNoise, SIGNAL(stateChanged(int)), (QObject*) this, SLOT(OnAddNoise(int))); connect((QObject*) m_Controls->m_AddGhosts, SIGNAL(stateChanged(int)), (QObject*) this, SLOT(OnAddGhosts(int))); connect((QObject*) m_Controls->m_AddDistortions, SIGNAL(stateChanged(int)), (QObject*) this, SLOT(OnAddDistortions(int))); connect((QObject*) m_Controls->m_AddEddy, SIGNAL(stateChanged(int)), (QObject*) this, SLOT(OnAddEddy(int))); connect((QObject*) m_Controls->m_AddSpikes, SIGNAL(stateChanged(int)), (QObject*) this, SLOT(OnAddSpikes(int))); connect((QObject*) m_Controls->m_AddAliasing, SIGNAL(stateChanged(int)), (QObject*) this, SLOT(OnAddAliasing(int))); connect((QObject*) m_Controls->m_AddMotion, SIGNAL(stateChanged(int)), (QObject*) this, SLOT(OnAddMotion(int))); connect((QObject*) m_Controls->m_ConstantRadiusBox, SIGNAL(stateChanged(int)), (QObject*) this, SLOT(OnConstantRadius(int))); connect((QObject*) m_Controls->m_CopyBundlesButton, SIGNAL(clicked()), (QObject*) this, SLOT(CopyBundles())); connect((QObject*) m_Controls->m_TransformBundlesButton, SIGNAL(clicked()), (QObject*) this, SLOT(ApplyTransform())); connect((QObject*) m_Controls->m_AlignOnGrid, SIGNAL(clicked()), (QObject*) this, SLOT(AlignOnGrid())); connect((QObject*) m_Controls->m_Compartment1Box, SIGNAL(currentIndexChanged(int)), (QObject*) this, SLOT(Comp1ModelFrameVisibility(int))); connect((QObject*) m_Controls->m_Compartment2Box, SIGNAL(currentIndexChanged(int)), (QObject*) this, SLOT(Comp2ModelFrameVisibility(int))); connect((QObject*) m_Controls->m_Compartment3Box, SIGNAL(currentIndexChanged(int)), (QObject*) this, SLOT(Comp3ModelFrameVisibility(int))); connect((QObject*) m_Controls->m_Compartment4Box, SIGNAL(currentIndexChanged(int)), (QObject*) this, SLOT(Comp4ModelFrameVisibility(int))); connect((QObject*) m_Controls->m_AdvancedOptionsBox, SIGNAL( stateChanged(int)), (QObject*) this, SLOT(ShowAdvancedOptions(int))); connect((QObject*) m_Controls->m_AdvancedOptionsBox_2, SIGNAL( stateChanged(int)), (QObject*) this, SLOT(ShowAdvancedOptions(int))); connect((QObject*) m_Controls->m_SaveParametersButton, SIGNAL(clicked()), (QObject*) this, SLOT(SaveParameters())); connect((QObject*) m_Controls->m_LoadParametersButton, SIGNAL(clicked()), (QObject*) this, SLOT(LoadParameters())); connect((QObject*) m_Controls->m_OutputPathButton, SIGNAL(clicked()), (QObject*) this, SLOT(SetOutputPath())); connect((QObject*) m_Controls->m_MaskComboBox, SIGNAL(currentIndexChanged(int)), (QObject*) this, SLOT(OnMaskSelected(int))); connect((QObject*) m_Controls->m_TemplateComboBox, SIGNAL(currentIndexChanged(int)), (QObject*) this, SLOT(OnTemplateSelected(int))); connect((QObject*) m_Controls->m_FiberBundleComboBox, SIGNAL(currentIndexChanged(int)), (QObject*) this, SLOT(OnFibSelected(int))); } } void QmitkFiberfoxView::OnMaskSelected(int value) { UpdateGui(); } void QmitkFiberfoxView::OnTemplateSelected(int value) { UpdateGui(); } void QmitkFiberfoxView::OnFibSelected(int value) { UpdateGui(); } template< class ScalarType > FiberfoxParameters< ScalarType > QmitkFiberfoxView::UpdateImageParameters(bool all) { FiberfoxParameters< ScalarType > parameters; parameters.m_Misc.m_OutputPath = ""; parameters.m_Misc.m_CheckAdvancedFiberOptionsBox = m_Controls->m_AdvancedOptionsBox->isChecked(); parameters.m_Misc.m_CheckAdvancedSignalOptionsBox = m_Controls->m_AdvancedOptionsBox_2->isChecked(); parameters.m_Misc.m_CheckOutputVolumeFractionsBox = m_Controls->m_VolumeFractionsBox->isChecked(); parameters.m_Misc.m_AfterSimulationMessage = ""; string outputPath = m_Controls->m_SavePathEdit->text().toStdString(); if (outputPath.compare("-")!=0) { parameters.m_Misc.m_OutputPath = outputPath; parameters.m_Misc.m_OutputPath += "/"; } switch(m_Controls->m_DistributionBox->currentIndex()) { case 0: parameters.m_FiberGen.m_Distribution = FiberGenerationParameters::DISTRIBUTE_UNIFORM; break; case 1: parameters.m_FiberGen.m_Distribution = FiberGenerationParameters::DISTRIBUTE_GAUSSIAN; break; default: parameters.m_FiberGen.m_Distribution = FiberGenerationParameters::DISTRIBUTE_UNIFORM; } parameters.m_FiberGen.m_Variance = m_Controls->m_VarianceBox->value(); parameters.m_FiberGen.m_Density = m_Controls->m_FiberDensityBox->value(); parameters.m_FiberGen.m_Sampling = m_Controls->m_FiberSamplingBox->value(); parameters.m_FiberGen.m_Tension = m_Controls->m_TensionBox->value(); parameters.m_FiberGen.m_Continuity = m_Controls->m_ContinuityBox->value(); parameters.m_FiberGen.m_Bias = m_Controls->m_BiasBox->value(); parameters.m_FiberGen.m_Rotation[0] = m_Controls->m_XrotBox->value(); parameters.m_FiberGen.m_Rotation[1] = m_Controls->m_YrotBox->value(); parameters.m_FiberGen.m_Rotation[2] = m_Controls->m_ZrotBox->value(); parameters.m_FiberGen.m_Translation[0] = m_Controls->m_XtransBox->value(); parameters.m_FiberGen.m_Translation[1] = m_Controls->m_YtransBox->value(); parameters.m_FiberGen.m_Translation[2] = m_Controls->m_ZtransBox->value(); parameters.m_FiberGen.m_Scale[0] = m_Controls->m_XscaleBox->value(); parameters.m_FiberGen.m_Scale[1] = m_Controls->m_YscaleBox->value(); parameters.m_FiberGen.m_Scale[2] = m_Controls->m_ZscaleBox->value(); if (!all) return parameters; if (m_Controls->m_MaskComboBox->GetSelectedNode().IsNotNull()) { mitk::Image::Pointer mitkMaskImage = dynamic_cast(m_Controls->m_MaskComboBox->GetSelectedNode()->GetData()); mitk::CastToItkImage(mitkMaskImage, parameters.m_SignalGen.m_MaskImage); itk::ImageDuplicator::Pointer duplicator = itk::ImageDuplicator::New(); duplicator->SetInputImage(parameters.m_SignalGen.m_MaskImage); duplicator->Update(); parameters.m_SignalGen.m_MaskImage = duplicator->GetOutput(); } if (m_Controls->m_TemplateComboBox->GetSelectedNode().IsNotNull() && mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage( m_Controls->m_TemplateComboBox->GetSelectedNode())) // use parameters of selected DWI { mitk::Image::Pointer dwi = dynamic_cast(m_Controls->m_TemplateComboBox->GetSelectedNode()->GetData()); ItkDwiType::Pointer itkVectorImagePointer = ItkDwiType::New(); mitk::CastToItkImage(dwi, itkVectorImagePointer); parameters.m_SignalGen.m_ImageRegion = itkVectorImagePointer->GetLargestPossibleRegion(); parameters.m_SignalGen.m_ImageSpacing = itkVectorImagePointer->GetSpacing(); parameters.m_SignalGen.m_ImageOrigin = itkVectorImagePointer->GetOrigin(); parameters.m_SignalGen.m_ImageDirection = itkVectorImagePointer->GetDirection(); parameters.m_SignalGen.m_Bvalue = static_cast(dwi->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() )->GetValue(); parameters.m_SignalGen.SetGradienDirections(static_cast( dwi->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer()); } else if (m_Controls->m_TemplateComboBox->GetSelectedNode().IsNotNull()) // use geometry of selected image { mitk::Image::Pointer img = dynamic_cast(m_Controls->m_TemplateComboBox->GetSelectedNode()->GetData()); itk::Image< float, 3 >::Pointer itkImg = itk::Image< float, 3 >::New(); CastToItkImage< itk::Image< float, 3 > >(img, itkImg); parameters.m_SignalGen.m_ImageRegion = itkImg->GetLargestPossibleRegion(); parameters.m_SignalGen.m_ImageSpacing = itkImg->GetSpacing(); parameters.m_SignalGen.m_ImageOrigin = itkImg->GetOrigin(); parameters.m_SignalGen.m_ImageDirection = itkImg->GetDirection(); parameters.m_SignalGen.SetNumWeightedVolumes(m_Controls->m_NumGradientsBox->value()); parameters.m_SignalGen.m_Bvalue = m_Controls->m_BvalueBox->value(); } else if (parameters.m_SignalGen.m_MaskImage.IsNotNull()) // use geometry of mask image { ItkUcharImgType::Pointer itkImg = parameters.m_SignalGen.m_MaskImage; parameters.m_SignalGen.m_ImageRegion = itkImg->GetLargestPossibleRegion(); parameters.m_SignalGen.m_ImageSpacing = itkImg->GetSpacing(); parameters.m_SignalGen.m_ImageOrigin = itkImg->GetOrigin(); parameters.m_SignalGen.m_ImageDirection = itkImg->GetDirection(); parameters.m_SignalGen.SetNumWeightedVolumes(m_Controls->m_NumGradientsBox->value()); parameters.m_SignalGen.m_Bvalue = m_Controls->m_BvalueBox->value(); } else // use GUI parameters { parameters.m_SignalGen.m_ImageRegion.SetSize(0, m_Controls->m_SizeX->value()); parameters.m_SignalGen.m_ImageRegion.SetSize(1, m_Controls->m_SizeY->value()); parameters.m_SignalGen.m_ImageRegion.SetSize(2, m_Controls->m_SizeZ->value()); parameters.m_SignalGen.m_ImageSpacing[0] = m_Controls->m_SpacingX->value(); parameters.m_SignalGen.m_ImageSpacing[1] = m_Controls->m_SpacingY->value(); parameters.m_SignalGen.m_ImageSpacing[2] = m_Controls->m_SpacingZ->value(); parameters.m_SignalGen.m_ImageOrigin[0] = parameters.m_SignalGen.m_ImageSpacing[0]/2; parameters.m_SignalGen.m_ImageOrigin[1] = parameters.m_SignalGen.m_ImageSpacing[1]/2; parameters.m_SignalGen.m_ImageOrigin[2] = parameters.m_SignalGen.m_ImageSpacing[2]/2; parameters.m_SignalGen.m_ImageDirection.SetIdentity(); parameters.m_SignalGen.SetNumWeightedVolumes(m_Controls->m_NumGradientsBox->value()); parameters.m_SignalGen.m_Bvalue = m_Controls->m_BvalueBox->value(); parameters.m_SignalGen.GenerateGradientHalfShell(); } // signal relaxation parameters.m_SignalGen.m_DoSimulateRelaxation = m_Controls->m_RelaxationBox->isChecked(); parameters.m_SignalGen.m_SimulateKspaceAcquisition = parameters.m_SignalGen.m_DoSimulateRelaxation; if (parameters.m_SignalGen.m_DoSimulateRelaxation && m_Controls->m_FiberBundleComboBox->GetSelectedNode().IsNotNull() ) { parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Relaxation", BoolProperty::New(true)); parameters.m_Misc.m_ArtifactModelString += "_RELAX"; } // N/2 ghosts parameters.m_Misc.m_CheckAddGhostsBox = m_Controls->m_AddGhosts->isChecked(); if (m_Controls->m_AddGhosts->isChecked()) { parameters.m_SignalGen.m_SimulateKspaceAcquisition = true; parameters.m_Misc.m_ArtifactModelString += "_GHOST"; parameters.m_SignalGen.m_KspaceLineOffset = m_Controls->m_kOffsetBox->value(); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Ghost", DoubleProperty::New(parameters.m_SignalGen.m_KspaceLineOffset)); } else parameters.m_SignalGen.m_KspaceLineOffset = 0; // Aliasing parameters.m_Misc.m_CheckAddAliasingBox = m_Controls->m_AddAliasing->isChecked(); if (m_Controls->m_AddAliasing->isChecked()) { parameters.m_SignalGen.m_SimulateKspaceAcquisition = true; parameters.m_Misc.m_ArtifactModelString += "_ALIASING"; parameters.m_SignalGen.m_CroppingFactor = (100-m_Controls->m_WrapBox->value())/100; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Aliasing", DoubleProperty::New(m_Controls->m_WrapBox->value())); } // Spikes parameters.m_Misc.m_CheckAddSpikesBox = m_Controls->m_AddSpikes->isChecked(); if (m_Controls->m_AddSpikes->isChecked()) { parameters.m_SignalGen.m_SimulateKspaceAcquisition = true; parameters.m_SignalGen.m_Spikes = m_Controls->m_SpikeNumBox->value(); parameters.m_SignalGen.m_SpikeAmplitude = m_Controls->m_SpikeScaleBox->value(); parameters.m_Misc.m_ArtifactModelString += "_SPIKES"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Spikes.Number", IntProperty::New(parameters.m_SignalGen.m_Spikes)); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Spikes.Amplitude", DoubleProperty::New(parameters.m_SignalGen.m_SpikeAmplitude)); } // gibbs ringing parameters.m_SignalGen.m_DoAddGibbsRinging = m_Controls->m_AddGibbsRinging->isChecked(); if (m_Controls->m_AddGibbsRinging->isChecked()) { parameters.m_SignalGen.m_SimulateKspaceAcquisition = true; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Ringing", BoolProperty::New(true)); parameters.m_Misc.m_ArtifactModelString += "_RINGING"; } // add distortions parameters.m_Misc.m_CheckAddDistortionsBox = m_Controls->m_AddDistortions->isChecked(); if (m_Controls->m_AddDistortions->isChecked() && m_Controls->m_FrequencyMapBox->GetSelectedNode().IsNotNull()) { mitk::DataNode::Pointer fMapNode = m_Controls->m_FrequencyMapBox->GetSelectedNode(); mitk::Image* img = dynamic_cast(fMapNode->GetData()); ItkDoubleImgType::Pointer itkImg = ItkDoubleImgType::New(); CastToItkImage< ItkDoubleImgType >(img, itkImg); if (m_Controls->m_TemplateComboBox->GetSelectedNode().IsNull()) // use geometry of frequency map { parameters.m_SignalGen.m_ImageRegion = itkImg->GetLargestPossibleRegion(); parameters.m_SignalGen.m_ImageSpacing = itkImg->GetSpacing(); parameters.m_SignalGen.m_ImageOrigin = itkImg->GetOrigin(); parameters.m_SignalGen.m_ImageDirection = itkImg->GetDirection(); } if (parameters.m_SignalGen.m_ImageRegion.GetSize(0)==itkImg->GetLargestPossibleRegion().GetSize(0) && parameters.m_SignalGen.m_ImageRegion.GetSize(1)==itkImg->GetLargestPossibleRegion().GetSize(1) && parameters.m_SignalGen.m_ImageRegion.GetSize(2)==itkImg->GetLargestPossibleRegion().GetSize(2)) { parameters.m_SignalGen.m_SimulateKspaceAcquisition = true; itk::ImageDuplicator::Pointer duplicator = itk::ImageDuplicator::New(); duplicator->SetInputImage(itkImg); duplicator->Update(); parameters.m_SignalGen.m_FrequencyMap = duplicator->GetOutput(); parameters.m_Misc.m_ArtifactModelString += "_DISTORTED"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Distortions", BoolProperty::New(true)); } } parameters.m_SignalGen.m_EddyStrength = 0; parameters.m_Misc.m_CheckAddEddyCurrentsBox = m_Controls->m_AddEddy->isChecked(); if (m_Controls->m_AddEddy->isChecked()) { parameters.m_SignalGen.m_EddyStrength = m_Controls->m_EddyGradientStrength->value(); parameters.m_Misc.m_ArtifactModelString += "_EDDY"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Eddy-strength", DoubleProperty::New(parameters.m_SignalGen.m_EddyStrength)); } // Motion parameters.m_SignalGen.m_DoAddMotion = m_Controls->m_AddMotion->isChecked(); parameters.m_SignalGen.m_DoRandomizeMotion = m_Controls->m_RandomMotion->isChecked(); parameters.m_SignalGen.m_Translation[0] = m_Controls->m_MaxTranslationBoxX->value(); parameters.m_SignalGen.m_Translation[1] = m_Controls->m_MaxTranslationBoxY->value(); parameters.m_SignalGen.m_Translation[2] = m_Controls->m_MaxTranslationBoxZ->value(); parameters.m_SignalGen.m_Rotation[0] = m_Controls->m_MaxRotationBoxX->value(); parameters.m_SignalGen.m_Rotation[1] = m_Controls->m_MaxRotationBoxY->value(); parameters.m_SignalGen.m_Rotation[2] = m_Controls->m_MaxRotationBoxZ->value(); + parameters.m_SignalGen.m_MotionVolumes.clear(); + parameters.m_Misc.m_MotionVolumesBox = m_Controls->m_MotionVolumesBox->text().toStdString(); if ( m_Controls->m_AddMotion->isChecked() && m_Controls->m_FiberBundleComboBox->GetSelectedNode().IsNotNull() ) { parameters.m_Misc.m_ArtifactModelString += "_MOTION"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Motion.Random", BoolProperty::New(parameters.m_SignalGen.m_DoRandomizeMotion)); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Motion.Translation-x", DoubleProperty::New(parameters.m_SignalGen.m_Translation[0])); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Motion.Translation-y", DoubleProperty::New(parameters.m_SignalGen.m_Translation[1])); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Motion.Translation-z", DoubleProperty::New(parameters.m_SignalGen.m_Translation[2])); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Motion.Rotation-x", DoubleProperty::New(parameters.m_SignalGen.m_Rotation[0])); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Motion.Rotation-y", DoubleProperty::New(parameters.m_SignalGen.m_Rotation[1])); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Motion.Rotation-z", DoubleProperty::New(parameters.m_SignalGen.m_Rotation[2])); + + if (parameters.m_Misc.m_MotionVolumesBox=="random") + { + for (int i=0; i> n) + { + if (n=0) + parameters.m_SignalGen.m_MotionVolumes[n]=true; + } + } } // other imaging parameters parameters.m_SignalGen.m_CoilSensitivityProfile = (SignalGenerationParameters::CoilSensitivityProfile)m_Controls->m_CoilSensBox->currentIndex(); parameters.m_SignalGen.m_NumberOfCoils = m_Controls->m_NumCoilsBox->value(); parameters.m_SignalGen.m_PartialFourier = m_Controls->m_PartialFourier->value(); parameters.m_SignalGen.m_ReversePhase = m_Controls->m_ReversePhaseBox->isChecked(); parameters.m_SignalGen.m_tLine = m_Controls->m_LineReadoutTimeBox->value(); parameters.m_SignalGen.m_tInhom = m_Controls->m_T2starBox->value(); parameters.m_SignalGen.m_tEcho = m_Controls->m_TEbox->value(); parameters.m_SignalGen.m_tRep = m_Controls->m_TRbox->value(); parameters.m_SignalGen.m_DoDisablePartialVolume = m_Controls->m_EnforcePureFiberVoxelsBox->isChecked(); parameters.m_SignalGen.m_AxonRadius = m_Controls->m_FiberRadius->value(); parameters.m_SignalGen.m_SignalScale = m_Controls->m_SignalScaleBox->value(); double voxelVolume = parameters.m_SignalGen.m_ImageSpacing[0]*parameters.m_SignalGen.m_ImageSpacing[1]*parameters.m_SignalGen.m_ImageSpacing[2]; if ( parameters.m_SignalGen.m_SignalScale*voxelVolume > itk::NumericTraits::max()*0.75 ) { parameters.m_SignalGen.m_SignalScale = itk::NumericTraits::max()*0.75/voxelVolume; m_Controls->m_SignalScaleBox->setValue(parameters.m_SignalGen.m_SignalScale); QMessageBox::information( NULL, "Warning", "Maximum signal exceeding data type limits. Automatically adjusted to "+QString::number(parameters.m_SignalGen.m_SignalScale)+" to obtain a maximum signal of 75% of the data type maximum. Relaxation and other effects that affect the signal intensities are not accounted for."); } // Noise parameters.m_Misc.m_CheckAddNoiseBox = m_Controls->m_AddNoise->isChecked(); parameters.m_SignalGen.m_NoiseVariance = 0; if (m_Controls->m_AddNoise->isChecked()) { double noiseVariance = m_Controls->m_NoiseLevel->value(); switch (m_Controls->m_NoiseDistributionBox->currentIndex()) { case 0: { if (noiseVariance>0) { parameters.m_SignalGen.m_SimulateKspaceAcquisition = true; parameters.m_Misc.m_ArtifactModelString += "_COMPLEX-GAUSSIAN-"; parameters.m_SignalGen.m_NoiseVariance = m_Controls->m_NoiseLevel->value(); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Noise-Distribution", StringProperty::New("Complex Gaussian")); } break; } case 1: { if (noiseVariance>0) { parameters.m_NoiseModel = new mitk::RicianNoiseModel(); parameters.m_Misc.m_ArtifactModelString += "_RICIAN-"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Noise-Distribution", StringProperty::New("Rician")); parameters.m_NoiseModel->SetNoiseVariance(noiseVariance); } break; } case 2: { if (noiseVariance>0) { parameters.m_NoiseModel = new mitk::ChiSquareNoiseModel(); parameters.m_Misc.m_ArtifactModelString += "_CHISQUARED-"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Noise-Distribution", StringProperty::New("Chi-squared")); parameters.m_NoiseModel->SetNoiseVariance(noiseVariance); } break; } default: { if (noiseVariance>0) { parameters.m_SignalGen.m_SimulateKspaceAcquisition = true; parameters.m_Misc.m_ArtifactModelString += "_COMPLEX-GAUSSIAN-"; parameters.m_SignalGen.m_NoiseVariance = m_Controls->m_NoiseLevel->value(); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Noise-Distribution", StringProperty::New("Complex Gaussian")); } break; } } if (noiseVariance>0) { parameters.m_Misc.m_ArtifactModelString += QString::number(noiseVariance).toStdString(); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Noise-Variance", DoubleProperty::New(noiseVariance)); } } // adjusting line readout time to the adapted image size needed for the DFT // unsigned int y = parameters.m_SignalGen.m_ImageRegion.GetSize(1); // y += y%2; // if ( y>parameters.m_SignalGen.m_ImageRegion.GetSize(1) ) // parameters.m_SignalGen.m_tLine *= (double)parameters.m_SignalGen.m_ImageRegion.GetSize(1)/y; // signal models { // compartment 1 switch (m_Controls->m_Compartment1Box->currentIndex()) { case 0: { mitk::StickModel* model = new mitk::StickModel(); model->SetGradientList(parameters.m_SignalGen.GetGradientDirections()); model->SetBvalue(parameters.m_SignalGen.m_Bvalue); model->SetDiffusivity(m_Controls->m_StickWidget1->GetD()); model->SetT2(m_Controls->m_StickWidget1->GetT2()); model->SetT1(m_Controls->m_StickWidget1->GetT1()); model->m_CompartmentId = 1; parameters.m_FiberModelList.push_back(model); parameters.m_Misc.m_SignalModelString += "Stick"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.Description", StringProperty::New("Intra-axonal compartment") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.Model", StringProperty::New("Stick") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.D", DoubleProperty::New(m_Controls->m_StickWidget1->GetD()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.T2", DoubleProperty::New(model->GetT2()) ); break; } case 1: { mitk::TensorModel* model = new mitk::TensorModel(); model->SetGradientList(parameters.m_SignalGen.GetGradientDirections()); model->SetBvalue(parameters.m_SignalGen.m_Bvalue); model->SetDiffusivity1(m_Controls->m_ZeppelinWidget1->GetD1()); model->SetDiffusivity2(m_Controls->m_ZeppelinWidget1->GetD2()); model->SetDiffusivity3(m_Controls->m_ZeppelinWidget1->GetD2()); model->SetT2(m_Controls->m_ZeppelinWidget1->GetT2()); model->SetT1(m_Controls->m_ZeppelinWidget1->GetT1()); model->m_CompartmentId = 1; parameters.m_FiberModelList.push_back(model); parameters.m_Misc.m_SignalModelString += "Zeppelin"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.Description", StringProperty::New("Intra-axonal compartment") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.Model", StringProperty::New("Zeppelin") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.D1", DoubleProperty::New(m_Controls->m_ZeppelinWidget1->GetD1()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.D2", DoubleProperty::New(m_Controls->m_ZeppelinWidget1->GetD2()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.T2", DoubleProperty::New(model->GetT2()) ); break; } case 2: { mitk::TensorModel* model = new mitk::TensorModel(); model->SetGradientList(parameters.m_SignalGen.GetGradientDirections()); model->SetBvalue(parameters.m_SignalGen.m_Bvalue); model->SetDiffusivity1(m_Controls->m_TensorWidget1->GetD1()); model->SetDiffusivity2(m_Controls->m_TensorWidget1->GetD2()); model->SetDiffusivity3(m_Controls->m_TensorWidget1->GetD3()); model->SetT2(m_Controls->m_TensorWidget1->GetT2()); model->SetT1(m_Controls->m_TensorWidget1->GetT1()); model->m_CompartmentId = 1; parameters.m_FiberModelList.push_back(model); parameters.m_Misc.m_SignalModelString += "Tensor"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.Description", StringProperty::New("Intra-axonal compartment") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.Model", StringProperty::New("Tensor") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.D1", DoubleProperty::New(m_Controls->m_TensorWidget1->GetD1()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.D2", DoubleProperty::New(m_Controls->m_TensorWidget1->GetD2()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.D3", DoubleProperty::New(m_Controls->m_TensorWidget1->GetD3()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.T2", DoubleProperty::New(model->GetT2()) ); break; } case 3: { mitk::RawShModel* model = new mitk::RawShModel(); parameters.m_SignalGen.m_DoSimulateRelaxation = false; model->SetGradientList(parameters.m_SignalGen.GetGradientDirections()); model->SetMaxNumKernels(m_Controls->m_PrototypeWidget1->GetNumberOfSamples()); model->SetFaRange(m_Controls->m_PrototypeWidget1->GetMinFa(), m_Controls->m_PrototypeWidget1->GetMaxFa()); model->SetAdcRange(m_Controls->m_PrototypeWidget1->GetMinAdc(), m_Controls->m_PrototypeWidget1->GetMaxAdc()); model->m_CompartmentId = 1; parameters.m_FiberModelList.push_back(model); parameters.m_Misc.m_SignalModelString += "Prototype"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.Description", StringProperty::New("Intra-axonal compartment") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment1.Model", StringProperty::New("Prototype") ); break; } } if (m_Controls->m_Comp1VolumeFraction->GetSelectedNode().IsNotNull()) { mitk::DataNode::Pointer volumeNode = m_Controls->m_Comp1VolumeFraction->GetSelectedNode(); ItkDoubleImgType::Pointer comp1VolumeImage = ItkDoubleImgType::New(); mitk::Image* img = dynamic_cast(volumeNode->GetData()); CastToItkImage< ItkDoubleImgType >(img, comp1VolumeImage); parameters.m_FiberModelList.back()->SetVolumeFractionImage(comp1VolumeImage); } // compartment 2 switch (m_Controls->m_Compartment2Box->currentIndex()) { case 0: break; case 1: { mitk::StickModel* model = new mitk::StickModel(); model->SetGradientList(parameters.m_SignalGen.GetGradientDirections()); model->SetBvalue(parameters.m_SignalGen.m_Bvalue); model->SetDiffusivity(m_Controls->m_StickWidget2->GetD()); model->SetT2(m_Controls->m_StickWidget2->GetT2()); model->SetT1(m_Controls->m_StickWidget2->GetT1()); model->m_CompartmentId = 2; parameters.m_FiberModelList.push_back(model); parameters.m_Misc.m_SignalModelString += "Stick"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.Description", StringProperty::New("Inter-axonal compartment") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.Model", StringProperty::New("Stick") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.D", DoubleProperty::New(m_Controls->m_StickWidget2->GetD()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.T2", DoubleProperty::New(model->GetT2()) ); break; } case 2: { mitk::TensorModel* model = new mitk::TensorModel(); model->SetGradientList(parameters.m_SignalGen.GetGradientDirections()); model->SetBvalue(parameters.m_SignalGen.m_Bvalue); model->SetDiffusivity1(m_Controls->m_ZeppelinWidget2->GetD1()); model->SetDiffusivity2(m_Controls->m_ZeppelinWidget2->GetD2()); model->SetDiffusivity3(m_Controls->m_ZeppelinWidget2->GetD2()); model->SetT2(m_Controls->m_ZeppelinWidget2->GetT2()); model->SetT1(m_Controls->m_ZeppelinWidget2->GetT1()); model->m_CompartmentId = 2; parameters.m_FiberModelList.push_back(model); parameters.m_Misc.m_SignalModelString += "Zeppelin"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.Description", StringProperty::New("Inter-axonal compartment") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.Model", StringProperty::New("Zeppelin") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.D1", DoubleProperty::New(m_Controls->m_ZeppelinWidget2->GetD1()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.D2", DoubleProperty::New(m_Controls->m_ZeppelinWidget2->GetD2()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.T2", DoubleProperty::New(model->GetT2()) ); break; } case 3: { mitk::TensorModel* model = new mitk::TensorModel(); model->SetGradientList(parameters.m_SignalGen.GetGradientDirections()); model->SetBvalue(parameters.m_SignalGen.m_Bvalue); model->SetDiffusivity1(m_Controls->m_TensorWidget2->GetD1()); model->SetDiffusivity2(m_Controls->m_TensorWidget2->GetD2()); model->SetDiffusivity3(m_Controls->m_TensorWidget2->GetD3()); model->SetT2(m_Controls->m_TensorWidget2->GetT2()); model->SetT1(m_Controls->m_TensorWidget2->GetT1()); model->m_CompartmentId = 2; parameters.m_FiberModelList.push_back(model); parameters.m_Misc.m_SignalModelString += "Tensor"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.Description", StringProperty::New("Inter-axonal compartment") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.Model", StringProperty::New("Tensor") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.D1", DoubleProperty::New(m_Controls->m_TensorWidget2->GetD1()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.D2", DoubleProperty::New(m_Controls->m_TensorWidget2->GetD2()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.D3", DoubleProperty::New(m_Controls->m_TensorWidget2->GetD3()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment2.T2", DoubleProperty::New(model->GetT2()) ); break; } } if (m_Controls->m_Comp2VolumeFraction->GetSelectedNode().IsNotNull() && parameters.m_FiberModelList.size()==2) { mitk::DataNode::Pointer volumeNode = m_Controls->m_Comp2VolumeFraction->GetSelectedNode(); ItkDoubleImgType::Pointer comp1VolumeImage = ItkDoubleImgType::New(); mitk::Image* img = dynamic_cast(volumeNode->GetData()); CastToItkImage< ItkDoubleImgType >(img, comp1VolumeImage); parameters.m_FiberModelList.back()->SetVolumeFractionImage(comp1VolumeImage); } // compartment 3 switch (m_Controls->m_Compartment3Box->currentIndex()) { case 0: { mitk::BallModel* model = new mitk::BallModel(); model->SetGradientList(parameters.m_SignalGen.GetGradientDirections()); model->SetBvalue(parameters.m_SignalGen.m_Bvalue); model->SetDiffusivity(m_Controls->m_BallWidget1->GetD()); model->SetT2(m_Controls->m_BallWidget1->GetT2()); model->SetT1(m_Controls->m_BallWidget1->GetT1()); model->m_CompartmentId = 3; parameters.m_NonFiberModelList.push_back(model); parameters.m_Misc.m_SignalModelString += "Ball"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.Description", StringProperty::New("Extra-axonal compartment 1") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.Model", StringProperty::New("Ball") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.D", DoubleProperty::New(m_Controls->m_BallWidget1->GetD()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.T2", DoubleProperty::New(model->GetT2()) ); break; } case 1: { mitk::AstroStickModel* model = new mitk::AstroStickModel(); model->SetGradientList(parameters.m_SignalGen.GetGradientDirections()); model->SetBvalue(parameters.m_SignalGen.m_Bvalue); model->SetDiffusivity(m_Controls->m_AstrosticksWidget1->GetD()); model->SetT2(m_Controls->m_AstrosticksWidget1->GetT2()); model->SetT1(m_Controls->m_AstrosticksWidget1->GetT1()); model->SetRandomizeSticks(m_Controls->m_AstrosticksWidget1->GetRandomizeSticks()); model->m_CompartmentId = 3; parameters.m_NonFiberModelList.push_back(model); parameters.m_Misc.m_SignalModelString += "Astrosticks"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.Description", StringProperty::New("Extra-axonal compartment 1") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.Model", StringProperty::New("Astrosticks") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.D", DoubleProperty::New(m_Controls->m_AstrosticksWidget1->GetD()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.T2", DoubleProperty::New(model->GetT2()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.RandomSticks", BoolProperty::New(m_Controls->m_AstrosticksWidget1->GetRandomizeSticks()) ); break; } case 2: { mitk::DotModel* model = new mitk::DotModel(); model->SetGradientList(parameters.m_SignalGen.GetGradientDirections()); model->SetT2(m_Controls->m_DotWidget1->GetT2()); model->SetT1(m_Controls->m_DotWidget1->GetT1()); model->m_CompartmentId = 3; parameters.m_NonFiberModelList.push_back(model); parameters.m_Misc.m_SignalModelString += "Dot"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.Description", StringProperty::New("Extra-axonal compartment 1") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.Model", StringProperty::New("Dot") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.T2", DoubleProperty::New(model->GetT2()) ); break; } case 3: { mitk::RawShModel* model = new mitk::RawShModel(); parameters.m_SignalGen.m_DoSimulateRelaxation = false; model->SetGradientList(parameters.m_SignalGen.GetGradientDirections()); model->SetMaxNumKernels(m_Controls->m_PrototypeWidget3->GetNumberOfSamples()); model->SetFaRange(m_Controls->m_PrototypeWidget3->GetMinFa(), m_Controls->m_PrototypeWidget3->GetMaxFa()); model->SetAdcRange(m_Controls->m_PrototypeWidget3->GetMinAdc(), m_Controls->m_PrototypeWidget3->GetMaxAdc()); model->m_CompartmentId = 3; parameters.m_NonFiberModelList.push_back(model); parameters.m_Misc.m_SignalModelString += "Prototype"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.Description", StringProperty::New("Extra-axonal compartment 1") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment3.Model", StringProperty::New("Prototype") ); break; } } if (m_Controls->m_Comp3VolumeFraction->GetSelectedNode().IsNotNull()) { mitk::DataNode::Pointer volumeNode = m_Controls->m_Comp3VolumeFraction->GetSelectedNode(); ItkDoubleImgType::Pointer comp1VolumeImage = ItkDoubleImgType::New(); mitk::Image* img = dynamic_cast(volumeNode->GetData()); CastToItkImage< ItkDoubleImgType >(img, comp1VolumeImage); parameters.m_NonFiberModelList.back()->SetVolumeFractionImage(comp1VolumeImage); } switch (m_Controls->m_Compartment4Box->currentIndex()) { case 0: break; case 1: { mitk::BallModel* model = new mitk::BallModel(); model->SetGradientList(parameters.m_SignalGen.GetGradientDirections()); model->SetBvalue(parameters.m_SignalGen.m_Bvalue); model->SetDiffusivity(m_Controls->m_BallWidget2->GetD()); model->SetT2(m_Controls->m_BallWidget2->GetT2()); model->SetT1(m_Controls->m_BallWidget2->GetT1()); model->m_CompartmentId = 4; parameters.m_NonFiberModelList.push_back(model); parameters.m_Misc.m_SignalModelString += "Ball"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.Description", StringProperty::New("Extra-axonal compartment 2") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.Model", StringProperty::New("Ball") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.D", DoubleProperty::New(m_Controls->m_BallWidget2->GetD()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.T2", DoubleProperty::New(model->GetT2()) ); break; } case 2: { mitk::AstroStickModel* model = new mitk::AstroStickModel(); model->SetGradientList(parameters.m_SignalGen.GetGradientDirections()); model->SetBvalue(parameters.m_SignalGen.m_Bvalue); model->SetDiffusivity(m_Controls->m_AstrosticksWidget2->GetD()); model->SetT2(m_Controls->m_AstrosticksWidget2->GetT2()); model->SetT1(m_Controls->m_AstrosticksWidget2->GetT1()); model->SetRandomizeSticks(m_Controls->m_AstrosticksWidget2->GetRandomizeSticks()); model->m_CompartmentId = 4; parameters.m_NonFiberModelList.push_back(model); parameters.m_Misc.m_SignalModelString += "Astrosticks"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.Description", StringProperty::New("Extra-axonal compartment 2") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.Model", StringProperty::New("Astrosticks") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.D", DoubleProperty::New(m_Controls->m_AstrosticksWidget2->GetD()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.T2", DoubleProperty::New(model->GetT2()) ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.RandomSticks", BoolProperty::New(m_Controls->m_AstrosticksWidget2->GetRandomizeSticks()) ); break; } case 3: { mitk::DotModel* model = new mitk::DotModel(); model->SetGradientList(parameters.m_SignalGen.GetGradientDirections()); model->SetT2(m_Controls->m_DotWidget2->GetT2()); model->SetT1(m_Controls->m_DotWidget2->GetT1()); model->m_CompartmentId = 4; parameters.m_NonFiberModelList.push_back(model); parameters.m_Misc.m_SignalModelString += "Dot"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.Description", StringProperty::New("Extra-axonal compartment 2") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.Model", StringProperty::New("Dot") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.T2", DoubleProperty::New(model->GetT2()) ); break; } case 4: { mitk::RawShModel* model = new mitk::RawShModel(); parameters.m_SignalGen.m_DoSimulateRelaxation = false; model->SetGradientList(parameters.m_SignalGen.GetGradientDirections()); model->SetMaxNumKernels(m_Controls->m_PrototypeWidget4->GetNumberOfSamples()); model->SetFaRange(m_Controls->m_PrototypeWidget4->GetMinFa(), m_Controls->m_PrototypeWidget4->GetMaxFa()); model->SetAdcRange(m_Controls->m_PrototypeWidget4->GetMinAdc(), m_Controls->m_PrototypeWidget4->GetMaxAdc()); model->m_CompartmentId = 4; parameters.m_NonFiberModelList.push_back(model); parameters.m_Misc.m_SignalModelString += "Prototype"; parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.Description", StringProperty::New("Extra-axonal compartment 2") ); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Compartment4.Model", StringProperty::New("Prototype") ); break; } } if (m_Controls->m_Comp4VolumeFraction->GetSelectedNode().IsNotNull() && parameters.m_NonFiberModelList.size()==2) { mitk::DataNode::Pointer volumeNode = m_Controls->m_Comp4VolumeFraction->GetSelectedNode(); ItkDoubleImgType::Pointer compVolumeImage = ItkDoubleImgType::New(); mitk::Image* img = dynamic_cast(volumeNode->GetData()); CastToItkImage< ItkDoubleImgType >(img, compVolumeImage); parameters.m_NonFiberModelList.back()->SetVolumeFractionImage(compVolumeImage); } } // // check if comp 3 or 4 volume fraction image is set // if (parameters.m_NonFiberModelList.size()==2 && (parameters.m_NonFiberModelList[0]->GetVolumeFractionImage()==nullptr || parameters.m_NonFiberModelList[1]->GetVolumeFractionImage()==nullptr)) // { // m_Controls->m_Compartment4Box->setCurrentIndex(0); // parameters.m_NonFiberModelList.pop_back(); // QMessageBox::information(NULL, "Compartment 4 disabled", "More than one non-fiber compartment selected but no volume fraction maps set!"); // } // RELIKT // parameters.m_SignalGen.m_FiberSeparationThreshold = m_Controls->m_SeparationAngleBox->value(); // switch (m_Controls->m_DiffusionDirectionBox->currentIndex()) // { // case 0: // parameters.m_SignalGen.m_DiffusionDirectionMode = SignalGenerationParameters::FIBER_TANGENT_DIRECTIONS; // break; // case 1: // parameters.m_SignalGen.m_DiffusionDirectionMode = SignalGenerationParameters::MAIN_FIBER_DIRECTIONS; // break; // case 2: // parameters.m_SignalGen.m_DiffusionDirectionMode = SignalGenerationParameters::RANDOM_DIRECTIONS; // parameters.m_SignalGen.m_DoAddMotion = false; // parameters.m_SignalGen.m_DoAddGibbsRinging = false; // parameters.m_SignalGen.m_KspaceLineOffset = 0.0; // parameters.m_SignalGen.m_FrequencyMap = NULL; // parameters.m_SignalGen.m_CroppingFactor = 1.0; // parameters.m_SignalGen.m_EddyStrength = 0; // break; // default: // parameters.m_SignalGen.m_DiffusionDirectionMode = SignalGenerationParameters::FIBER_TANGENT_DIRECTIONS; // } parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.SignalScale", IntProperty::New(parameters.m_SignalGen.m_SignalScale)); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.FiberRadius", IntProperty::New(parameters.m_SignalGen.m_AxonRadius)); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Tinhom", DoubleProperty::New(parameters.m_SignalGen.m_tInhom)); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Tline", DoubleProperty::New(parameters.m_SignalGen.m_tLine)); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.TE", DoubleProperty::New(parameters.m_SignalGen.m_tEcho)); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.b-value", DoubleProperty::New(parameters.m_SignalGen.m_Bvalue)); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.NoPartialVolume", BoolProperty::New(parameters.m_SignalGen.m_DoDisablePartialVolume)); parameters.m_Misc.m_ResultNode->AddProperty("Fiberfox.Relaxation", BoolProperty::New(parameters.m_SignalGen.m_DoSimulateRelaxation)); parameters.m_Misc.m_ResultNode->AddProperty("binary", BoolProperty::New(false)); parameters.m_Misc.m_CheckRealTimeFibersBox = m_Controls->m_RealTimeFibers->isChecked(); parameters.m_Misc.m_CheckAdvancedFiberOptionsBox = m_Controls->m_AdvancedOptionsBox->isChecked(); parameters.m_Misc.m_CheckIncludeFiducialsBox = m_Controls->m_IncludeFiducials->isChecked(); parameters.m_Misc.m_CheckConstantRadiusBox = m_Controls->m_ConstantRadiusBox->isChecked(); return parameters; } void QmitkFiberfoxView::SaveParameters() { FiberfoxParameters<> ffParamaters = UpdateImageParameters(); QString filename = QFileDialog::getSaveFileName( 0, tr("Save Parameters"), m_ParameterFile, tr("Fiberfox Parameters (*.ffp)") ); bool ok = true; bool first = true; bool dosampling = false; mitk::Image::Pointer diffImg = NULL; itk::Image< itk::DiffusionTensor3D< double >, 3 >::Pointer tensorImage = NULL; const int shOrder = 2; typedef itk::AnalyticalDiffusionQballReconstructionImageFilter QballFilterType; QballFilterType::CoefficientImageType::Pointer itkFeatureImage = NULL; ItkDoubleImgType::Pointer adcImage = NULL; for (unsigned int i=0; i* model = NULL; if (i* >(ffParamaters.m_FiberModelList.at(i)); else model = dynamic_cast< mitk::RawShModel<>* >(ffParamaters.m_NonFiberModelList.at(i-ffParamaters.m_FiberModelList.size())); if (model!=0 && model->GetNumberOfKernels()<=0) { if (first==true) { if (QMessageBox::question(NULL, "Prototype signal sampling", "Do you want to sample prototype signals from the selected diffusion-weighted imag and save them?",QMessageBox::Yes,QMessageBox::No)==QMessageBox::Yes) dosampling = true; first = false; if (dosampling && (m_Controls->m_TemplateComboBox->GetSelectedNode().IsNull() || !mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage( dynamic_cast(m_Controls->m_TemplateComboBox->GetSelectedNode()->GetData())))) { QMessageBox::information(NULL, "Parameter file not saved", "No diffusion-weighted image selected to sample signal from."); return; } else if (dosampling) { diffImg = dynamic_cast(m_Controls->m_TemplateComboBox->GetSelectedNode()->GetData()); typedef itk::DiffusionTensor3DReconstructionImageFilter< short, short, double > TensorReconstructionImageFilterType; TensorReconstructionImageFilterType::Pointer filter = TensorReconstructionImageFilterType::New(); ItkDwiType::Pointer itkVectorImagePointer = ItkDwiType::New(); mitk::CastToItkImage(diffImg, itkVectorImagePointer); filter->SetGradientImage( static_cast( diffImg->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer(), itkVectorImagePointer ); filter->SetBValue( static_cast(diffImg->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() )->GetValue() ); filter->Update(); tensorImage = filter->GetOutput(); const int NumCoeffs = (shOrder*shOrder + shOrder + 2)/2 + shOrder; QballFilterType::Pointer qballfilter = QballFilterType::New(); qballfilter->SetGradientImage( static_cast( diffImg->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer(), itkVectorImagePointer ); qballfilter->SetBValue( static_cast(diffImg->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() )->GetValue() ); qballfilter->SetLambda(0.006); qballfilter->SetNormalizationMethod(QballFilterType::QBAR_RAW_SIGNAL); qballfilter->Update(); itkFeatureImage = qballfilter->GetCoefficientImage(); itk::AdcImageFilter< short, double >::Pointer adcFilter = itk::AdcImageFilter< short, double >::New(); adcFilter->SetInput( itkVectorImagePointer ); adcFilter->SetGradientDirections( static_cast( diffImg->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer() ); adcFilter->SetB_value( static_cast(diffImg->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() )->GetValue() ); adcFilter->Update(); adcImage = adcFilter->GetOutput(); } } if (dosampling && diffImg.IsNotNull()) { ok = model->SampleKernels(diffImg, ffParamaters.m_SignalGen.m_MaskImage, tensorImage, itkFeatureImage, adcImage); if (!ok) { QMessageBox::information( NULL, "Parameter file not saved", "No valid prototype signals could be sampled."); return; } } } } ffParamaters.SaveParameters(filename.toStdString()); m_ParameterFile = filename; } void QmitkFiberfoxView::LoadParameters() { QString filename = QFileDialog::getOpenFileName(0, tr("Load Parameters"), QString(itksys::SystemTools::GetFilenamePath(m_ParameterFile.toStdString()).c_str()), tr("Fiberfox Parameters (*.ffp)") ); if(filename.isEmpty() || filename.isNull()) return; m_ParameterFile = filename; FiberfoxParameters<> parameters = UpdateImageParameters(); parameters.LoadParameters(filename.toStdString()); if (parameters.m_MissingTags.size()>0) { QString missing("Parameter file might be corrupted. The following parameters could not be read: "); missing += QString(parameters.m_MissingTags.c_str()); missing += "\nDefault values have been assigned to the missing parameters."; QMessageBox::information( NULL, "Warning!", missing); } m_Controls->m_RealTimeFibers->setChecked(parameters.m_Misc.m_CheckRealTimeFibersBox); m_Controls->m_AdvancedOptionsBox->setChecked(parameters.m_Misc.m_CheckAdvancedFiberOptionsBox); m_Controls->m_IncludeFiducials->setChecked(parameters.m_Misc.m_CheckIncludeFiducialsBox); m_Controls->m_ConstantRadiusBox->setChecked(parameters.m_Misc.m_CheckConstantRadiusBox); m_Controls->m_DistributionBox->setCurrentIndex(parameters.m_FiberGen.m_Distribution); m_Controls->m_VarianceBox->setValue(parameters.m_FiberGen.m_Variance); m_Controls->m_FiberDensityBox->setValue(parameters.m_FiberGen.m_Density); m_Controls->m_FiberSamplingBox->setValue(parameters.m_FiberGen.m_Sampling); m_Controls->m_TensionBox->setValue(parameters.m_FiberGen.m_Tension); m_Controls->m_ContinuityBox->setValue(parameters.m_FiberGen.m_Continuity); m_Controls->m_BiasBox->setValue(parameters.m_FiberGen.m_Bias); m_Controls->m_XrotBox->setValue(parameters.m_FiberGen.m_Rotation[0]); m_Controls->m_YrotBox->setValue(parameters.m_FiberGen.m_Rotation[1]); m_Controls->m_ZrotBox->setValue(parameters.m_FiberGen.m_Rotation[2]); m_Controls->m_XtransBox->setValue(parameters.m_FiberGen.m_Translation[0]); m_Controls->m_YtransBox->setValue(parameters.m_FiberGen.m_Translation[1]); m_Controls->m_ZtransBox->setValue(parameters.m_FiberGen.m_Translation[2]); m_Controls->m_XscaleBox->setValue(parameters.m_FiberGen.m_Scale[0]); m_Controls->m_YscaleBox->setValue(parameters.m_FiberGen.m_Scale[1]); m_Controls->m_ZscaleBox->setValue(parameters.m_FiberGen.m_Scale[2]); // image generation parameters m_Controls->m_SizeX->setValue(parameters.m_SignalGen.m_ImageRegion.GetSize(0)); m_Controls->m_SizeY->setValue(parameters.m_SignalGen.m_ImageRegion.GetSize(1)); m_Controls->m_SizeZ->setValue(parameters.m_SignalGen.m_ImageRegion.GetSize(2)); m_Controls->m_SpacingX->setValue(parameters.m_SignalGen.m_ImageSpacing[0]); m_Controls->m_SpacingY->setValue(parameters.m_SignalGen.m_ImageSpacing[1]); m_Controls->m_SpacingZ->setValue(parameters.m_SignalGen.m_ImageSpacing[2]); m_Controls->m_NumGradientsBox->setValue(parameters.m_SignalGen.GetNumWeightedVolumes()); m_Controls->m_BvalueBox->setValue(parameters.m_SignalGen.m_Bvalue); m_Controls->m_SignalScaleBox->setValue(parameters.m_SignalGen.m_SignalScale); m_Controls->m_TEbox->setValue(parameters.m_SignalGen.m_tEcho); m_Controls->m_LineReadoutTimeBox->setValue(parameters.m_SignalGen.m_tLine); m_Controls->m_T2starBox->setValue(parameters.m_SignalGen.m_tInhom); m_Controls->m_FiberRadius->setValue(parameters.m_SignalGen.m_AxonRadius); m_Controls->m_RelaxationBox->setChecked(parameters.m_SignalGen.m_DoSimulateRelaxation); m_Controls->m_EnforcePureFiberVoxelsBox->setChecked(parameters.m_SignalGen.m_DoDisablePartialVolume); m_Controls->m_ReversePhaseBox->setChecked(parameters.m_SignalGen.m_ReversePhase); m_Controls->m_PartialFourier->setValue(parameters.m_SignalGen.m_PartialFourier); m_Controls->m_TRbox->setValue(parameters.m_SignalGen.m_tRep); m_Controls->m_NumCoilsBox->setValue(parameters.m_SignalGen.m_NumberOfCoils); m_Controls->m_CoilSensBox->setCurrentIndex(parameters.m_SignalGen.m_CoilSensitivityProfile); if (parameters.m_NoiseModel!=NULL) { m_Controls->m_AddNoise->setChecked(parameters.m_Misc.m_CheckAddNoiseBox); if (dynamic_cast*>(parameters.m_NoiseModel)) m_Controls->m_NoiseDistributionBox->setCurrentIndex(0); else if (dynamic_cast*>(parameters.m_NoiseModel)) m_Controls->m_NoiseDistributionBox->setCurrentIndex(1); m_Controls->m_NoiseLevel->setValue(parameters.m_NoiseModel->GetNoiseVariance()); } else { m_Controls->m_AddNoise->setChecked(parameters.m_Misc.m_CheckAddNoiseBox); m_Controls->m_NoiseLevel->setValue(parameters.m_SignalGen.m_NoiseVariance); } m_Controls->m_VolumeFractionsBox->setChecked(parameters.m_Misc.m_CheckOutputVolumeFractionsBox); m_Controls->m_AdvancedOptionsBox_2->setChecked(parameters.m_Misc.m_CheckAdvancedSignalOptionsBox); m_Controls->m_AddGhosts->setChecked(parameters.m_Misc.m_CheckAddGhostsBox); m_Controls->m_AddAliasing->setChecked(parameters.m_Misc.m_CheckAddAliasingBox); m_Controls->m_AddDistortions->setChecked(parameters.m_Misc.m_CheckAddDistortionsBox); m_Controls->m_AddSpikes->setChecked(parameters.m_Misc.m_CheckAddSpikesBox); m_Controls->m_AddEddy->setChecked(parameters.m_Misc.m_CheckAddEddyCurrentsBox); m_Controls->m_kOffsetBox->setValue(parameters.m_SignalGen.m_KspaceLineOffset); m_Controls->m_WrapBox->setValue(100*(1-parameters.m_SignalGen.m_CroppingFactor)); m_Controls->m_SpikeNumBox->setValue(parameters.m_SignalGen.m_Spikes); m_Controls->m_SpikeScaleBox->setValue(parameters.m_SignalGen.m_SpikeAmplitude); m_Controls->m_EddyGradientStrength->setValue(parameters.m_SignalGen.m_EddyStrength); m_Controls->m_AddGibbsRinging->setChecked(parameters.m_SignalGen.m_DoAddGibbsRinging); m_Controls->m_AddMotion->setChecked(parameters.m_SignalGen.m_DoAddMotion); m_Controls->m_RandomMotion->setChecked(parameters.m_SignalGen.m_DoRandomizeMotion); + m_Controls->m_MotionVolumesBox->setText(QString(parameters.m_Misc.m_MotionVolumesBox.c_str())); + m_Controls->m_MaxTranslationBoxX->setValue(parameters.m_SignalGen.m_Translation[0]); m_Controls->m_MaxTranslationBoxY->setValue(parameters.m_SignalGen.m_Translation[1]); m_Controls->m_MaxTranslationBoxZ->setValue(parameters.m_SignalGen.m_Translation[2]); m_Controls->m_MaxRotationBoxX->setValue(parameters.m_SignalGen.m_Rotation[0]); m_Controls->m_MaxRotationBoxY->setValue(parameters.m_SignalGen.m_Rotation[1]); m_Controls->m_MaxRotationBoxZ->setValue(parameters.m_SignalGen.m_Rotation[2]); m_Controls->m_Compartment1Box->setCurrentIndex(0); m_Controls->m_Compartment2Box->setCurrentIndex(0); m_Controls->m_Compartment3Box->setCurrentIndex(0); m_Controls->m_Compartment4Box->setCurrentIndex(0); for (unsigned int i=0; i* signalModel = NULL; if (iGetVolumeFractionImage().IsNotNull() ) { compVolNode = mitk::DataNode::New(); mitk::Image::Pointer image = mitk::Image::New(); image->InitializeByItk(signalModel->GetVolumeFractionImage().GetPointer()); image->SetVolume(signalModel->GetVolumeFractionImage()->GetBufferPointer()); compVolNode->SetData( image ); compVolNode->SetName("Compartment volume "+QString::number(signalModel->m_CompartmentId).toStdString()); GetDataStorage()->Add(compVolNode); } switch (signalModel->m_CompartmentId) { case 1: { if (compVolNode.IsNotNull()) m_Controls->m_Comp1VolumeFraction->SetSelectedNode(compVolNode); if (dynamic_cast*>(signalModel)) { mitk::StickModel<>* model = dynamic_cast*>(signalModel); m_Controls->m_StickWidget1->SetT2(model->GetT2()); m_Controls->m_StickWidget1->SetT1(model->GetT1()); m_Controls->m_StickWidget1->SetD(model->GetDiffusivity()); m_Controls->m_Compartment1Box->setCurrentIndex(0); break; } else if (dynamic_cast*>(signalModel)) { mitk::TensorModel<>* model = dynamic_cast*>(signalModel); m_Controls->m_TensorWidget1->SetT2(model->GetT2()); m_Controls->m_TensorWidget1->SetT1(model->GetT1()); m_Controls->m_TensorWidget1->SetD1(model->GetDiffusivity1()); m_Controls->m_TensorWidget1->SetD2(model->GetDiffusivity2()); m_Controls->m_TensorWidget1->SetD3(model->GetDiffusivity3()); m_Controls->m_Compartment1Box->setCurrentIndex(2); break; } else if (dynamic_cast*>(signalModel)) { mitk::RawShModel<>* model = dynamic_cast*>(signalModel); m_Controls->m_PrototypeWidget1->SetNumberOfSamples(model->GetMaxNumKernels()); m_Controls->m_PrototypeWidget1->SetMinFa(model->GetFaRange().first); m_Controls->m_PrototypeWidget1->SetMaxFa(model->GetFaRange().second); m_Controls->m_PrototypeWidget1->SetMinAdc(model->GetAdcRange().first); m_Controls->m_PrototypeWidget1->SetMaxAdc(model->GetAdcRange().second); m_Controls->m_Compartment1Box->setCurrentIndex(3); break; } break; } case 2: { if (compVolNode.IsNotNull()) m_Controls->m_Comp2VolumeFraction->SetSelectedNode(compVolNode); if (dynamic_cast*>(signalModel)) { mitk::StickModel<>* model = dynamic_cast*>(signalModel); m_Controls->m_StickWidget2->SetT2(model->GetT2()); m_Controls->m_StickWidget2->SetT1(model->GetT1()); m_Controls->m_StickWidget2->SetD(model->GetDiffusivity()); m_Controls->m_Compartment2Box->setCurrentIndex(1); break; } else if (dynamic_cast*>(signalModel)) { mitk::TensorModel<>* model = dynamic_cast*>(signalModel); m_Controls->m_TensorWidget2->SetT2(model->GetT2()); m_Controls->m_TensorWidget2->SetT1(model->GetT1()); m_Controls->m_TensorWidget2->SetD1(model->GetDiffusivity1()); m_Controls->m_TensorWidget2->SetD2(model->GetDiffusivity2()); m_Controls->m_TensorWidget2->SetD3(model->GetDiffusivity3()); m_Controls->m_Compartment2Box->setCurrentIndex(3); break; } break; } case 3: { if (compVolNode.IsNotNull()) m_Controls->m_Comp3VolumeFraction->SetSelectedNode(compVolNode); if (dynamic_cast*>(signalModel)) { mitk::BallModel<>* model = dynamic_cast*>(signalModel); m_Controls->m_BallWidget1->SetT2(model->GetT2()); m_Controls->m_BallWidget1->SetT1(model->GetT1()); m_Controls->m_BallWidget1->SetD(model->GetDiffusivity()); m_Controls->m_Compartment3Box->setCurrentIndex(0); break; } else if (dynamic_cast*>(signalModel)) { mitk::AstroStickModel<>* model = dynamic_cast*>(signalModel); m_Controls->m_AstrosticksWidget1->SetT2(model->GetT2()); m_Controls->m_AstrosticksWidget1->SetT1(model->GetT1()); m_Controls->m_AstrosticksWidget1->SetD(model->GetDiffusivity()); m_Controls->m_AstrosticksWidget1->SetRandomizeSticks(model->GetRandomizeSticks()); m_Controls->m_Compartment3Box->setCurrentIndex(1); break; } else if (dynamic_cast*>(signalModel)) { mitk::DotModel<>* model = dynamic_cast*>(signalModel); m_Controls->m_DotWidget1->SetT2(model->GetT2()); m_Controls->m_DotWidget1->SetT1(model->GetT1()); m_Controls->m_Compartment3Box->setCurrentIndex(2); break; } else if (dynamic_cast*>(signalModel)) { mitk::RawShModel<>* model = dynamic_cast*>(signalModel); m_Controls->m_PrototypeWidget3->SetNumberOfSamples(model->GetMaxNumKernels()); m_Controls->m_PrototypeWidget3->SetMinFa(model->GetFaRange().first); m_Controls->m_PrototypeWidget3->SetMaxFa(model->GetFaRange().second); m_Controls->m_PrototypeWidget3->SetMinAdc(model->GetAdcRange().first); m_Controls->m_PrototypeWidget3->SetMaxAdc(model->GetAdcRange().second); m_Controls->m_Compartment3Box->setCurrentIndex(3); break; } break; } case 4: { if (compVolNode.IsNotNull()) m_Controls->m_Comp4VolumeFraction->SetSelectedNode(compVolNode); if (dynamic_cast*>(signalModel)) { mitk::BallModel<>* model = dynamic_cast*>(signalModel); m_Controls->m_BallWidget2->SetT2(model->GetT2()); m_Controls->m_BallWidget2->SetT1(model->GetT1()); m_Controls->m_BallWidget2->SetD(model->GetDiffusivity()); m_Controls->m_Compartment4Box->setCurrentIndex(1); break; } else if (dynamic_cast*>(signalModel)) { mitk::AstroStickModel<>* model = dynamic_cast*>(signalModel); m_Controls->m_AstrosticksWidget2->SetT2(model->GetT2()); m_Controls->m_AstrosticksWidget2->SetT1(model->GetT1()); m_Controls->m_AstrosticksWidget2->SetD(model->GetDiffusivity()); m_Controls->m_AstrosticksWidget2->SetRandomizeSticks(model->GetRandomizeSticks()); m_Controls->m_Compartment4Box->setCurrentIndex(2); break; } else if (dynamic_cast*>(signalModel)) { mitk::DotModel<>* model = dynamic_cast*>(signalModel); m_Controls->m_DotWidget2->SetT2(model->GetT2()); m_Controls->m_DotWidget2->SetT1(model->GetT1()); m_Controls->m_Compartment4Box->setCurrentIndex(3); break; } else if (dynamic_cast*>(signalModel)) { mitk::RawShModel<>* model = dynamic_cast*>(signalModel); m_Controls->m_PrototypeWidget4->SetNumberOfSamples(model->GetMaxNumKernels()); m_Controls->m_PrototypeWidget4->SetMinFa(model->GetFaRange().first); m_Controls->m_PrototypeWidget4->SetMaxFa(model->GetFaRange().second); m_Controls->m_PrototypeWidget4->SetMinAdc(model->GetAdcRange().first); m_Controls->m_PrototypeWidget4->SetMaxAdc(model->GetAdcRange().second); m_Controls->m_Compartment4Box->setCurrentIndex(4); break; } break; } } } if ( parameters.m_SignalGen.m_MaskImage ) { mitk::Image::Pointer image = mitk::Image::New(); image->InitializeByItk(parameters.m_SignalGen.m_MaskImage.GetPointer()); image->SetVolume(parameters.m_SignalGen.m_MaskImage->GetBufferPointer()); mitk::DataNode::Pointer node = mitk::DataNode::New(); node->SetData( image ); node->SetName("Tissue mask"); GetDataStorage()->Add(node); m_Controls->m_MaskComboBox->SetSelectedNode(node); } if ( parameters.m_SignalGen.m_FrequencyMap ) { mitk::Image::Pointer image = mitk::Image::New(); image->InitializeByItk(parameters.m_SignalGen.m_FrequencyMap.GetPointer()); image->SetVolume(parameters.m_SignalGen.m_FrequencyMap->GetBufferPointer()); mitk::DataNode::Pointer node = mitk::DataNode::New(); node->SetData( image ); node->SetName("Frequency map"); GetDataStorage()->Add(node); m_Controls->m_FrequencyMapBox->SetSelectedNode(node); } } void QmitkFiberfoxView::ShowAdvancedOptions(int state) { if (state) { m_Controls->m_AdvancedFiberOptionsFrame->setVisible(true); m_Controls->m_AdvancedSignalOptionsFrame->setVisible(true); m_Controls->m_AdvancedOptionsBox->setChecked(true); m_Controls->m_AdvancedOptionsBox_2->setChecked(true); } else { m_Controls->m_AdvancedFiberOptionsFrame->setVisible(false); m_Controls->m_AdvancedSignalOptionsFrame->setVisible(false); m_Controls->m_AdvancedOptionsBox->setChecked(false); m_Controls->m_AdvancedOptionsBox_2->setChecked(false); } } void QmitkFiberfoxView::Comp1ModelFrameVisibility(int index) { m_Controls->m_StickWidget1->setVisible(false); m_Controls->m_ZeppelinWidget1->setVisible(false); m_Controls->m_TensorWidget1->setVisible(false); m_Controls->m_PrototypeWidget1->setVisible(false); switch (index) { case 0: m_Controls->m_StickWidget1->setVisible(true); break; case 1: m_Controls->m_ZeppelinWidget1->setVisible(true); break; case 2: m_Controls->m_TensorWidget1->setVisible(true); break; case 3: m_Controls->m_PrototypeWidget1->setVisible(true); break; } } void QmitkFiberfoxView::Comp2ModelFrameVisibility(int index) { m_Controls->m_StickWidget2->setVisible(false); m_Controls->m_ZeppelinWidget2->setVisible(false); m_Controls->m_TensorWidget2->setVisible(false); m_Controls->m_Comp2FractionFrame->setVisible(false); switch (index) { case 0: break; case 1: m_Controls->m_StickWidget2->setVisible(true); m_Controls->m_Comp2FractionFrame->setVisible(true); break; case 2: m_Controls->m_ZeppelinWidget2->setVisible(true); m_Controls->m_Comp2FractionFrame->setVisible(true); break; case 3: m_Controls->m_TensorWidget2->setVisible(true); m_Controls->m_Comp2FractionFrame->setVisible(true); break; } } void QmitkFiberfoxView::Comp3ModelFrameVisibility(int index) { m_Controls->m_BallWidget1->setVisible(false); m_Controls->m_AstrosticksWidget1->setVisible(false); m_Controls->m_DotWidget1->setVisible(false); m_Controls->m_PrototypeWidget3->setVisible(false); switch (index) { case 0: m_Controls->m_BallWidget1->setVisible(true); break; case 1: m_Controls->m_AstrosticksWidget1->setVisible(true); break; case 2: m_Controls->m_DotWidget1->setVisible(true); break; case 3: m_Controls->m_PrototypeWidget3->setVisible(true); break; } } void QmitkFiberfoxView::Comp4ModelFrameVisibility(int index) { m_Controls->m_BallWidget2->setVisible(false); m_Controls->m_AstrosticksWidget2->setVisible(false); m_Controls->m_DotWidget2->setVisible(false); m_Controls->m_PrototypeWidget4->setVisible(false); m_Controls->m_Comp4FractionFrame->setVisible(false); switch (index) { case 0: break; case 1: m_Controls->m_BallWidget2->setVisible(true); m_Controls->m_Comp4FractionFrame->setVisible(true); break; case 2: m_Controls->m_AstrosticksWidget2->setVisible(true); m_Controls->m_Comp4FractionFrame->setVisible(true); break; case 3: m_Controls->m_DotWidget2->setVisible(true); m_Controls->m_Comp4FractionFrame->setVisible(true); break; case 4: m_Controls->m_PrototypeWidget4->setVisible(true); m_Controls->m_Comp4FractionFrame->setVisible(true); break; } } void QmitkFiberfoxView::OnConstantRadius(int value) { if (value>0 && m_Controls->m_RealTimeFibers->isChecked()) GenerateFibers(); } void QmitkFiberfoxView::OnAddMotion(int value) { if (value>0) m_Controls->m_MotionArtifactFrame->setVisible(true); else m_Controls->m_MotionArtifactFrame->setVisible(false); } void QmitkFiberfoxView::OnAddAliasing(int value) { if (value>0) m_Controls->m_AliasingFrame->setVisible(true); else m_Controls->m_AliasingFrame->setVisible(false); } void QmitkFiberfoxView::OnAddSpikes(int value) { if (value>0) m_Controls->m_SpikeFrame->setVisible(true); else m_Controls->m_SpikeFrame->setVisible(false); } void QmitkFiberfoxView::OnAddEddy(int value) { if (value>0) m_Controls->m_EddyFrame->setVisible(true); else m_Controls->m_EddyFrame->setVisible(false); } void QmitkFiberfoxView::OnAddDistortions(int value) { if (value>0) m_Controls->m_DistortionsFrame->setVisible(true); else m_Controls->m_DistortionsFrame->setVisible(false); } void QmitkFiberfoxView::OnAddGhosts(int value) { if (value>0) m_Controls->m_GhostFrame->setVisible(true); else m_Controls->m_GhostFrame->setVisible(false); } void QmitkFiberfoxView::OnAddNoise(int value) { if (value>0) m_Controls->m_NoiseFrame->setVisible(true); else m_Controls->m_NoiseFrame->setVisible(false); } void QmitkFiberfoxView::OnDistributionChanged(int value) { if (value==1) m_Controls->m_VarianceBox->setVisible(true); else m_Controls->m_VarianceBox->setVisible(false); if (m_Controls->m_RealTimeFibers->isChecked()) GenerateFibers(); } void QmitkFiberfoxView::OnVarianceChanged(double) { if (m_Controls->m_RealTimeFibers->isChecked()) GenerateFibers(); } void QmitkFiberfoxView::OnFiberDensityChanged(int) { if (m_Controls->m_RealTimeFibers->isChecked()) GenerateFibers(); } void QmitkFiberfoxView::OnFiberSamplingChanged(double) { if (m_Controls->m_RealTimeFibers->isChecked()) GenerateFibers(); } void QmitkFiberfoxView::OnTensionChanged(double) { if (m_Controls->m_RealTimeFibers->isChecked()) GenerateFibers(); } void QmitkFiberfoxView::OnContinuityChanged(double) { if (m_Controls->m_RealTimeFibers->isChecked()) GenerateFibers(); } void QmitkFiberfoxView::OnBiasChanged(double) { if (m_Controls->m_RealTimeFibers->isChecked()) GenerateFibers(); } void QmitkFiberfoxView::AlignOnGrid() { for (unsigned int i=0; i(m_SelectedFiducials.at(i)->GetData()); mitk::Point3D wc0 = pe->GetWorldControlPoint(0); mitk::DataStorage::SetOfObjects::ConstPointer parentFibs = GetDataStorage()->GetSources(m_SelectedFiducials.at(i)); for( mitk::DataStorage::SetOfObjects::const_iterator it = parentFibs->begin(); it != parentFibs->end(); ++it ) { mitk::DataNode::Pointer pFibNode = *it; if ( pFibNode.IsNotNull() && dynamic_cast(pFibNode->GetData()) ) { mitk::DataStorage::SetOfObjects::ConstPointer parentImgs = GetDataStorage()->GetSources(pFibNode); for( mitk::DataStorage::SetOfObjects::const_iterator it2 = parentImgs->begin(); it2 != parentImgs->end(); ++it2 ) { mitk::DataNode::Pointer pImgNode = *it2; if ( pImgNode.IsNotNull() && dynamic_cast(pImgNode->GetData()) ) { mitk::Image::Pointer img = dynamic_cast(pImgNode->GetData()); mitk::BaseGeometry::Pointer geom = img->GetGeometry(); itk::Index<3> idx; geom->WorldToIndex(wc0, idx); mitk::Point3D cIdx; cIdx[0]=idx[0]; cIdx[1]=idx[1]; cIdx[2]=idx[2]; mitk::Point3D world; geom->IndexToWorld(cIdx,world); mitk::Vector3D trans = world - wc0; pe->GetGeometry()->Translate(trans); break; } } break; } } } for(unsigned int i=0; iGetSources(fibNode); for( mitk::DataStorage::SetOfObjects::const_iterator it = sources->begin(); it != sources->end(); ++it ) { mitk::DataNode::Pointer imgNode = *it; if ( imgNode.IsNotNull() && dynamic_cast(imgNode->GetData()) ) { mitk::DataStorage::SetOfObjects::ConstPointer derivations = GetDataStorage()->GetDerivations(fibNode); for( mitk::DataStorage::SetOfObjects::const_iterator it2 = derivations->begin(); it2 != derivations->end(); ++it2 ) { mitk::DataNode::Pointer fiducialNode = *it2; if ( fiducialNode.IsNotNull() && dynamic_cast(fiducialNode->GetData()) ) { mitk::PlanarEllipse::Pointer pe = dynamic_cast(fiducialNode->GetData()); mitk::Point3D wc0 = pe->GetWorldControlPoint(0); mitk::Image::Pointer img = dynamic_cast(imgNode->GetData()); mitk::BaseGeometry::Pointer geom = img->GetGeometry(); itk::Index<3> idx; geom->WorldToIndex(wc0, idx); mitk::Point3D cIdx; cIdx[0]=idx[0]; cIdx[1]=idx[1]; cIdx[2]=idx[2]; mitk::Point3D world; geom->IndexToWorld(cIdx,world); mitk::Vector3D trans = world - wc0; pe->GetGeometry()->Translate(trans); } } break; } } } for(unsigned int i=0; i(m_SelectedImages.at(i)->GetData()); mitk::DataStorage::SetOfObjects::ConstPointer derivations = GetDataStorage()->GetDerivations(m_SelectedImages.at(i)); for( mitk::DataStorage::SetOfObjects::const_iterator it = derivations->begin(); it != derivations->end(); ++it ) { mitk::DataNode::Pointer fibNode = *it; if ( fibNode.IsNotNull() && dynamic_cast(fibNode->GetData()) ) { mitk::DataStorage::SetOfObjects::ConstPointer derivations2 = GetDataStorage()->GetDerivations(fibNode); for( mitk::DataStorage::SetOfObjects::const_iterator it2 = derivations2->begin(); it2 != derivations2->end(); ++it2 ) { mitk::DataNode::Pointer fiducialNode = *it2; if ( fiducialNode.IsNotNull() && dynamic_cast(fiducialNode->GetData()) ) { mitk::PlanarEllipse::Pointer pe = dynamic_cast(fiducialNode->GetData()); mitk::Point3D wc0 = pe->GetWorldControlPoint(0); mitk::BaseGeometry::Pointer geom = img->GetGeometry(); itk::Index<3> idx; geom->WorldToIndex(wc0, idx); mitk::Point3D cIdx; cIdx[0]=idx[0]; cIdx[1]=idx[1]; cIdx[2]=idx[2]; mitk::Point3D world; geom->IndexToWorld(cIdx,world); mitk::Vector3D trans = world - wc0; pe->GetGeometry()->Translate(trans); } } } } } mitk::RenderingManager::GetInstance()->RequestUpdateAll(); if (m_Controls->m_RealTimeFibers->isChecked()) GenerateFibers(); } void QmitkFiberfoxView::OnFlipButton() { if (m_SelectedFiducial.IsNull()) return; std::map::iterator it = m_DataNodeToPlanarFigureData.find(m_SelectedFiducial.GetPointer()); if( it != m_DataNodeToPlanarFigureData.end() ) { QmitkPlanarFigureData& data = it->second; data.m_Flipped += 1; data.m_Flipped %= 2; } if (m_Controls->m_RealTimeFibers->isChecked()) GenerateFibers(); } QmitkFiberfoxView::GradientListType QmitkFiberfoxView::GenerateHalfShell(int NPoints) { NPoints *= 2; GradientListType pointshell; int numB0 = NPoints/20; if (numB0==0) numB0=1; GradientType g; g.Fill(0.0); for (int i=0; i theta; theta.set_size(NPoints); vnl_vector phi; phi.set_size(NPoints); double C = sqrt(4*M_PI); phi(0) = 0.0; phi(NPoints-1) = 0.0; for(int i=0; i0 && i std::vector > QmitkFiberfoxView::MakeGradientList() { std::vector > retval; vnl_matrix_fixed* U = itk::PointShell >::DistributePointShell(); // Add 0 vector for B0 int numB0 = ndirs/10; if (numB0==0) numB0=1; itk::Vector v; v.Fill(0.0); for (int i=0; i v; v[0] = U->get(0,i); v[1] = U->get(1,i); v[2] = U->get(2,i); retval.push_back(v); } return retval; } void QmitkFiberfoxView::OnAddBundle() { if (m_SelectedImageNode.IsNull()) return; mitk::DataStorage::SetOfObjects::ConstPointer children = GetDataStorage()->GetDerivations(m_SelectedImageNode); mitk::FiberBundle::Pointer bundle = mitk::FiberBundle::New(); mitk::DataNode::Pointer node = mitk::DataNode::New(); node->SetData( bundle ); QString name = QString("Bundle_%1").arg(children->size()); node->SetName(name.toStdString()); m_SelectedBundles.push_back(node); UpdateGui(); GetDataStorage()->Add(node, m_SelectedImageNode); } void QmitkFiberfoxView::OnDrawROI() { if (m_SelectedBundles.empty()) OnAddBundle(); if (m_SelectedBundles.empty()) return; mitk::DataStorage::SetOfObjects::ConstPointer children = GetDataStorage()->GetDerivations(m_SelectedBundles.at(0)); mitk::PlanarEllipse::Pointer figure = mitk::PlanarEllipse::New(); mitk::DataNode::Pointer node = mitk::DataNode::New(); node->SetData( figure ); node->SetBoolProperty("planarfigure.3drendering", true); node->SetBoolProperty("planarfigure.3drendering.fill", true); QList nodes = this->GetDataManagerSelection(); for( int i=0; iSetSelected(false); m_SelectedFiducial = node; QString name = QString("Fiducial_%1").arg(children->size()); node->SetName(name.toStdString()); node->SetSelected(true); this->DisableCrosshairNavigation(); mitk::PlanarFigureInteractor::Pointer figureInteractor = dynamic_cast(node->GetDataInteractor().GetPointer()); if(figureInteractor.IsNull()) { figureInteractor = mitk::PlanarFigureInteractor::New(); us::Module* planarFigureModule = us::ModuleRegistry::GetModule( "MitkPlanarFigure" ); figureInteractor->LoadStateMachine("PlanarFigureInteraction.xml", planarFigureModule ); figureInteractor->SetEventConfig( "PlanarFigureConfig.xml", planarFigureModule ); figureInteractor->SetDataNode( node ); } UpdateGui(); GetDataStorage()->Add(node, m_SelectedBundles.at(0)); } bool CompareLayer(mitk::DataNode::Pointer i,mitk::DataNode::Pointer j) { int li = -1; i->GetPropertyValue("layer", li); int lj = -1; j->GetPropertyValue("layer", lj); return liGetSources(m_SelectedFiducial); for( mitk::DataStorage::SetOfObjects::const_iterator it = parents->begin(); it != parents->end(); ++it ) if(dynamic_cast((*it)->GetData())) m_SelectedBundles.push_back(*it); if (m_SelectedBundles.empty()) return; } FiberfoxParameters parameters = UpdateImageParameters(false); for (unsigned int i=0; iGetDerivations(m_SelectedBundles.at(i)); std::vector< mitk::DataNode::Pointer > childVector; for( mitk::DataStorage::SetOfObjects::const_iterator it = children->begin(); it != children->end(); ++it ) childVector.push_back(*it); sort(childVector.begin(), childVector.end(), CompareLayer); vector< mitk::PlanarEllipse::Pointer > fib; vector< unsigned int > flip; float radius = 1; int count = 0; for( std::vector< mitk::DataNode::Pointer >::const_iterator it = childVector.begin(); it != childVector.end(); ++it ) { mitk::DataNode::Pointer node = *it; if ( node.IsNotNull() && dynamic_cast(node->GetData()) ) { mitk::PlanarEllipse* ellipse = dynamic_cast(node->GetData()); if (m_Controls->m_ConstantRadiusBox->isChecked()) { ellipse->SetTreatAsCircle(true); mitk::Point2D c = ellipse->GetControlPoint(0); mitk::Point2D p = ellipse->GetControlPoint(1); mitk::Vector2D v = p-c; if (count==0) { radius = v.GetVnlVector().magnitude(); ellipse->SetControlPoint(1, p); ellipse->Modified(); } else { v.Normalize(); v *= radius; ellipse->SetControlPoint(1, c+v); ellipse->Modified(); } } fib.push_back(ellipse); std::map::iterator it = m_DataNodeToPlanarFigureData.find(node.GetPointer()); if( it != m_DataNodeToPlanarFigureData.end() ) { QmitkPlanarFigureData& data = it->second; flip.push_back(data.m_Flipped); } else flip.push_back(0); } count++; } if (fib.size()>1) { parameters.m_FiberGen.m_Fiducials.push_back(fib); parameters.m_FiberGen.m_FlipList.push_back(flip); } else if (fib.size()>0) m_SelectedBundles.at(i)->SetData( mitk::FiberBundle::New() ); mitk::RenderingManager::GetInstance()->RequestUpdateAll(); } itk::FibersFromPlanarFiguresFilter::Pointer filter = itk::FibersFromPlanarFiguresFilter::New(); filter->SetParameters(parameters.m_FiberGen); filter->Update(); vector< mitk::FiberBundle::Pointer > fiberBundles = filter->GetFiberBundles(); for (unsigned int i=0; iSetData( fiberBundles.at(i) ); if (fiberBundles.at(i)->GetNumFibers()>50000) m_SelectedBundles.at(i)->SetVisibility(false); } mitk::RenderingManager::GetInstance()->RequestUpdateAll(); } void QmitkFiberfoxView::GenerateImage() { if (m_Controls->m_FiberBundleComboBox->GetSelectedNode().IsNull() && !mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage( m_Controls->m_TemplateComboBox->GetSelectedNode())) { mitk::Image::Pointer image = mitk::ImageGenerator::GenerateGradientImage( m_Controls->m_SizeX->value(), m_Controls->m_SizeY->value(), m_Controls->m_SizeZ->value(), m_Controls->m_SpacingX->value(), m_Controls->m_SpacingY->value(), m_Controls->m_SpacingZ->value()); mitk::DataNode::Pointer node = mitk::DataNode::New(); node->SetData( image ); node->SetName("Dummy"); unsigned int window = m_Controls->m_SizeX->value()*m_Controls->m_SizeY->value()*m_Controls->m_SizeZ->value(); unsigned int level = window/2; mitk::LevelWindow lw; lw.SetLevelWindow(level, window); node->SetProperty( "levelwindow", mitk::LevelWindowProperty::New( lw ) ); GetDataStorage()->Add(node); m_SelectedImageNode = node; mitk::BaseData::Pointer basedata = node->GetData(); if (basedata.IsNotNull()) { mitk::RenderingManager::GetInstance()->InitializeViews( basedata->GetTimeGeometry(), mitk::RenderingManager::REQUEST_UPDATE_ALL, true ); mitk::RenderingManager::GetInstance()->RequestUpdateAll(); } UpdateGui(); QMessageBox::information(NULL, "Template image generated", "You have selected no fiber bundle or diffusion-weighted image, which can be used to simulate a new diffusion-weighted image. A template image with the specified geometry has been generated that can be used to draw artificial fibers (see tab 'Fiber Definition')."); } else if (m_Controls->m_FiberBundleComboBox->GetSelectedNode().IsNotNull()) SimulateImageFromFibers(m_Controls->m_FiberBundleComboBox->GetSelectedNode()); else if ( mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage( m_Controls->m_TemplateComboBox->GetSelectedNode()) ) SimulateForExistingDwi(m_Controls->m_TemplateComboBox->GetSelectedNode()); else QMessageBox::information(NULL, "No image generated", "You have selected no fiber bundle or diffusion-weighted image, which can be used to simulate a new diffusion-weighted image."); } void QmitkFiberfoxView::SimulateForExistingDwi(mitk::DataNode* imageNode) { bool isDiffusionImage( mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage( dynamic_cast(imageNode->GetData())) ); if ( !isDiffusionImage ) { return; } FiberfoxParameters parameters = UpdateImageParameters(); if (parameters.m_NoiseModel==NULL && parameters.m_SignalGen.m_Spikes==0 && parameters.m_SignalGen.m_FrequencyMap.IsNull() && parameters.m_SignalGen.m_KspaceLineOffset<=0.000001 && !parameters.m_SignalGen.m_DoAddGibbsRinging && !(parameters.m_SignalGen.m_EddyStrength>0) && parameters.m_SignalGen.m_CroppingFactor>0.999) { QMessageBox::information( NULL, "Simulation cancelled", "No valid artifact enabled! Motion artifacts and relaxation effects can NOT be added to an existing diffusion weighted image."); return; } mitk::Image::Pointer diffImg = dynamic_cast(imageNode->GetData()); ItkDwiType::Pointer itkVectorImagePointer = ItkDwiType::New(); mitk::CastToItkImage(diffImg, itkVectorImagePointer); m_ArtifactsToDwiFilter = itk::AddArtifactsToDwiImageFilter< short >::New(); m_ArtifactsToDwiFilter->SetInput(itkVectorImagePointer); parameters.m_Misc.m_ParentNode = imageNode; m_ArtifactsToDwiFilter->SetParameters(parameters); m_Worker.m_FilterType = 1; m_Thread.start(QThread::LowestPriority); } void QmitkFiberfoxView::SimulateImageFromFibers(mitk::DataNode* fiberNode) { mitk::FiberBundle::Pointer fiberBundle = dynamic_cast(fiberNode->GetData()); if (fiberBundle->GetNumFibers()<=0) return; FiberfoxParameters parameters = UpdateImageParameters(); m_TractsToDwiFilter = itk::TractsToDWIImageFilter< short >::New(); parameters.m_Misc.m_ParentNode = fiberNode; if (m_Controls->m_TemplateComboBox->GetSelectedNode().IsNotNull() && mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage( dynamic_cast(m_Controls->m_TemplateComboBox->GetSelectedNode()->GetData()))) { bool first = true; bool ok = true; mitk::Image::Pointer diffImg = dynamic_cast(m_Controls->m_TemplateComboBox->GetSelectedNode()->GetData()); itk::Image< itk::DiffusionTensor3D< double >, 3 >::Pointer tensorImage = NULL; const int shOrder = 2; typedef itk::AnalyticalDiffusionQballReconstructionImageFilter QballFilterType; QballFilterType::CoefficientImageType::Pointer itkFeatureImage = NULL; ItkDoubleImgType::Pointer adcImage = NULL; for (unsigned int i=0; i* model = NULL; if (i* >(parameters.m_FiberModelList.at(i)); else model = dynamic_cast< mitk::RawShModel<>* >(parameters.m_NonFiberModelList.at(i-parameters.m_FiberModelList.size())); if (model!=0 && model->GetNumberOfKernels()<=0) { if (first==true) { ItkDwiType::Pointer itkVectorImagePointer = ItkDwiType::New(); mitk::CastToItkImage(diffImg, itkVectorImagePointer); typedef itk::DiffusionTensor3DReconstructionImageFilter< short, short, double > TensorReconstructionImageFilterType; TensorReconstructionImageFilterType::Pointer filter = TensorReconstructionImageFilterType::New(); filter->SetGradientImage( static_cast( diffImg->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer(), itkVectorImagePointer ); filter->SetBValue( static_cast(diffImg->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() )->GetValue() ); filter->Update(); tensorImage = filter->GetOutput(); const int NumCoeffs = (shOrder*shOrder + shOrder + 2)/2 + shOrder; QballFilterType::Pointer qballfilter = QballFilterType::New(); qballfilter->SetGradientImage( static_cast( diffImg->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer(), itkVectorImagePointer ); qballfilter->SetBValue( static_cast(diffImg->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() )->GetValue() ); qballfilter->SetLambda(0.006); qballfilter->SetNormalizationMethod(QballFilterType::QBAR_RAW_SIGNAL); qballfilter->Update(); itkFeatureImage = qballfilter->GetCoefficientImage(); itk::AdcImageFilter< short, double >::Pointer adcFilter = itk::AdcImageFilter< short, double >::New(); adcFilter->SetInput( itkVectorImagePointer ); adcFilter->SetGradientDirections( static_cast( diffImg->GetProperty(mitk::DiffusionPropertyHelper::GRADIENTCONTAINERPROPERTYNAME.c_str()).GetPointer() )->GetGradientDirectionsContainer() ); adcFilter->SetB_value( static_cast(diffImg->GetProperty(mitk::DiffusionPropertyHelper::REFERENCEBVALUEPROPERTYNAME.c_str()).GetPointer() )->GetValue() ); adcFilter->Update(); adcImage = adcFilter->GetOutput(); } ok = model->SampleKernels(diffImg, parameters.m_SignalGen.m_MaskImage, tensorImage, itkFeatureImage, adcImage); if (!ok) break; } } if (!ok) { QMessageBox::information( NULL, "Simulation cancelled", "No valid prototype signals could be sampled."); return; } } else if ( m_Controls->m_Compartment1Box->currentIndex()==3 || m_Controls->m_Compartment3Box->currentIndex()==3 || m_Controls->m_Compartment4Box->currentIndex()==4 ) { QMessageBox::information( NULL, "Simulation cancelled", "Prototype signal but no diffusion-weighted image selected to sample signal from."); return; } m_TractsToDwiFilter->SetParameters(parameters); m_TractsToDwiFilter->SetFiberBundle(fiberBundle); m_Worker.m_FilterType = 0; m_Thread.start(QThread::LowestPriority); } void QmitkFiberfoxView::ApplyTransform() { vector< mitk::DataNode::Pointer > selectedBundles; for(unsigned int i=0; iGetDerivations(m_SelectedImages.at(i)); for( mitk::DataStorage::SetOfObjects::const_iterator it = derivations->begin(); it != derivations->end(); ++it ) { mitk::DataNode::Pointer fibNode = *it; if ( fibNode.IsNotNull() && dynamic_cast(fibNode->GetData()) ) selectedBundles.push_back(fibNode); } } if (selectedBundles.empty()) selectedBundles = m_SelectedBundles2; if (!selectedBundles.empty()) { for (std::vector::const_iterator it = selectedBundles.begin(); it!=selectedBundles.end(); ++it) { mitk::FiberBundle::Pointer fib = dynamic_cast((*it)->GetData()); fib->RotateAroundAxis(m_Controls->m_XrotBox->value(), m_Controls->m_YrotBox->value(), m_Controls->m_ZrotBox->value()); fib->TranslateFibers(m_Controls->m_XtransBox->value(), m_Controls->m_YtransBox->value(), m_Controls->m_ZtransBox->value()); fib->ScaleFibers(m_Controls->m_XscaleBox->value(), m_Controls->m_YscaleBox->value(), m_Controls->m_ZscaleBox->value()); // handle child fiducials if (m_Controls->m_IncludeFiducials->isChecked()) { mitk::DataStorage::SetOfObjects::ConstPointer derivations = GetDataStorage()->GetDerivations(*it); for( mitk::DataStorage::SetOfObjects::const_iterator it2 = derivations->begin(); it2 != derivations->end(); ++it2 ) { mitk::DataNode::Pointer fiducialNode = *it2; if ( fiducialNode.IsNotNull() && dynamic_cast(fiducialNode->GetData()) ) { mitk::PlanarEllipse* pe = dynamic_cast(fiducialNode->GetData()); mitk::BaseGeometry* geom = pe->GetGeometry(); // translate mitk::Vector3D world; world[0] = m_Controls->m_XtransBox->value(); world[1] = m_Controls->m_YtransBox->value(); world[2] = m_Controls->m_ZtransBox->value(); geom->Translate(world); // calculate rotation matrix double x = m_Controls->m_XrotBox->value()*M_PI/180; double y = m_Controls->m_YrotBox->value()*M_PI/180; double z = m_Controls->m_ZrotBox->value()*M_PI/180; itk::Matrix< double, 3, 3 > rotX; rotX.SetIdentity(); rotX[1][1] = cos(x); rotX[2][2] = rotX[1][1]; rotX[1][2] = -sin(x); rotX[2][1] = -rotX[1][2]; itk::Matrix< double, 3, 3 > rotY; rotY.SetIdentity(); rotY[0][0] = cos(y); rotY[2][2] = rotY[0][0]; rotY[0][2] = sin(y); rotY[2][0] = -rotY[0][2]; itk::Matrix< double, 3, 3 > rotZ; rotZ.SetIdentity(); rotZ[0][0] = cos(z); rotZ[1][1] = rotZ[0][0]; rotZ[0][1] = -sin(z); rotZ[1][0] = -rotZ[0][1]; itk::Matrix< double, 3, 3 > rot = rotZ*rotY*rotX; // transform control point coordinate into geometry translation geom->SetOrigin(pe->GetWorldControlPoint(0)); mitk::Point2D cp; cp.Fill(0.0); pe->SetControlPoint(0, cp); // rotate fiducial geom->GetIndexToWorldTransform()->SetMatrix(rot*geom->GetIndexToWorldTransform()->GetMatrix()); // implicit translation mitk::Vector3D trans; trans[0] = geom->GetOrigin()[0]-fib->GetGeometry()->GetCenter()[0]; trans[1] = geom->GetOrigin()[1]-fib->GetGeometry()->GetCenter()[1]; trans[2] = geom->GetOrigin()[2]-fib->GetGeometry()->GetCenter()[2]; mitk::Vector3D newWc = rot*trans; newWc = newWc-trans; geom->Translate(newWc); pe->Modified(); } } } } } else { for (unsigned int i=0; i(m_SelectedFiducials.at(i)->GetData()); mitk::BaseGeometry* geom = pe->GetGeometry(); // translate mitk::Vector3D world; world[0] = m_Controls->m_XtransBox->value(); world[1] = m_Controls->m_YtransBox->value(); world[2] = m_Controls->m_ZtransBox->value(); geom->Translate(world); // calculate rotation matrix double x = m_Controls->m_XrotBox->value()*M_PI/180; double y = m_Controls->m_YrotBox->value()*M_PI/180; double z = m_Controls->m_ZrotBox->value()*M_PI/180; itk::Matrix< double, 3, 3 > rotX; rotX.SetIdentity(); rotX[1][1] = cos(x); rotX[2][2] = rotX[1][1]; rotX[1][2] = -sin(x); rotX[2][1] = -rotX[1][2]; itk::Matrix< double, 3, 3 > rotY; rotY.SetIdentity(); rotY[0][0] = cos(y); rotY[2][2] = rotY[0][0]; rotY[0][2] = sin(y); rotY[2][0] = -rotY[0][2]; itk::Matrix< double, 3, 3 > rotZ; rotZ.SetIdentity(); rotZ[0][0] = cos(z); rotZ[1][1] = rotZ[0][0]; rotZ[0][1] = -sin(z); rotZ[1][0] = -rotZ[0][1]; itk::Matrix< double, 3, 3 > rot = rotZ*rotY*rotX; // transform control point coordinate into geometry translation geom->SetOrigin(pe->GetWorldControlPoint(0)); mitk::Point2D cp; cp.Fill(0.0); pe->SetControlPoint(0, cp); // rotate fiducial geom->GetIndexToWorldTransform()->SetMatrix(rot*geom->GetIndexToWorldTransform()->GetMatrix()); pe->Modified(); } if (m_Controls->m_RealTimeFibers->isChecked()) GenerateFibers(); } mitk::RenderingManager::GetInstance()->RequestUpdateAll(); } void QmitkFiberfoxView::CopyBundles() { if ( m_SelectedBundles.size()<1 ){ QMessageBox::information( NULL, "Warning", "Select at least one fiber bundle!"); MITK_WARN("QmitkFiberFoxView") << "Select at least one fiber bundle!"; return; } for (std::vector::const_iterator it = m_SelectedBundles.begin(); it!=m_SelectedBundles.end(); ++it) { // find parent image mitk::DataNode::Pointer parentNode; mitk::DataStorage::SetOfObjects::ConstPointer parentImgs = GetDataStorage()->GetSources(*it); for( mitk::DataStorage::SetOfObjects::const_iterator it2 = parentImgs->begin(); it2 != parentImgs->end(); ++it2 ) { mitk::DataNode::Pointer pImgNode = *it2; if ( pImgNode.IsNotNull() && dynamic_cast(pImgNode->GetData()) ) { parentNode = pImgNode; break; } } mitk::FiberBundle::Pointer fib = dynamic_cast((*it)->GetData()); mitk::FiberBundle::Pointer newBundle = fib->GetDeepCopy(); QString name((*it)->GetName().c_str()); name += "_copy"; mitk::DataNode::Pointer fbNode = mitk::DataNode::New(); fbNode->SetData(newBundle); fbNode->SetName(name.toStdString()); fbNode->SetVisibility(true); if (parentNode.IsNotNull()) GetDataStorage()->Add(fbNode, parentNode); else GetDataStorage()->Add(fbNode); // copy child fiducials if (m_Controls->m_IncludeFiducials->isChecked()) { mitk::DataStorage::SetOfObjects::ConstPointer derivations = GetDataStorage()->GetDerivations(*it); for( mitk::DataStorage::SetOfObjects::const_iterator it2 = derivations->begin(); it2 != derivations->end(); ++it2 ) { mitk::DataNode::Pointer fiducialNode = *it2; if ( fiducialNode.IsNotNull() && dynamic_cast(fiducialNode->GetData()) ) { mitk::PlanarEllipse::Pointer pe = dynamic_cast(fiducialNode->GetData())->Clone(); mitk::DataNode::Pointer newNode = mitk::DataNode::New(); newNode->SetData(pe); newNode->SetName(fiducialNode->GetName()); newNode->SetBoolProperty("planarfigure.3drendering", true); GetDataStorage()->Add(newNode, fbNode); } } } } mitk::RenderingManager::GetInstance()->RequestUpdateAll(); } void QmitkFiberfoxView::JoinBundles() { if ( m_SelectedBundles.size()<2 ){ QMessageBox::information( NULL, "Warning", "Select at least two fiber bundles!"); MITK_WARN("QmitkFiberFoxView") << "Select at least two fiber bundles!"; return; } std::vector::const_iterator it = m_SelectedBundles.begin(); mitk::FiberBundle::Pointer newBundle = dynamic_cast((*it)->GetData()); QString name(""); name += QString((*it)->GetName().c_str()); ++it; for (; it!=m_SelectedBundles.end(); ++it) { newBundle = newBundle->AddBundle(dynamic_cast((*it)->GetData())); name += "+"+QString((*it)->GetName().c_str()); } mitk::DataNode::Pointer fbNode = mitk::DataNode::New(); fbNode->SetData(newBundle); fbNode->SetName(name.toStdString()); fbNode->SetVisibility(true); GetDataStorage()->Add(fbNode); mitk::RenderingManager::GetInstance()->RequestUpdateAll(); } void QmitkFiberfoxView::UpdateGui() { m_Controls->m_GeometryFrame->setEnabled(true); m_Controls->m_GeometryMessage->setVisible(false); m_Controls->m_DiffusionPropsMessage->setVisible(false); m_Controls->m_FiberGenMessage->setVisible(true); m_Controls->m_TransformBundlesButton->setEnabled(false); m_Controls->m_CopyBundlesButton->setEnabled(false); m_Controls->m_GenerateFibersButton->setEnabled(false); m_Controls->m_FlipButton->setEnabled(false); m_Controls->m_CircleButton->setEnabled(false); m_Controls->m_BvalueBox->setEnabled(true); m_Controls->m_NumGradientsBox->setEnabled(true); m_Controls->m_JoinBundlesButton->setEnabled(false); m_Controls->m_AlignOnGrid->setEnabled(false); // Fiber generation gui if (m_SelectedFiducial.IsNotNull()) { m_Controls->m_TransformBundlesButton->setEnabled(true); m_Controls->m_FlipButton->setEnabled(true); m_Controls->m_AlignOnGrid->setEnabled(true); } if (m_SelectedImageNode.IsNotNull() || !m_SelectedBundles.empty()) { m_Controls->m_CircleButton->setEnabled(true); m_Controls->m_FiberGenMessage->setVisible(false); } if (m_SelectedImageNode.IsNotNull() && !m_SelectedBundles.empty()) m_Controls->m_AlignOnGrid->setEnabled(true); if (!m_SelectedBundles.empty()) { m_Controls->m_TransformBundlesButton->setEnabled(true); m_Controls->m_CopyBundlesButton->setEnabled(true); m_Controls->m_GenerateFibersButton->setEnabled(true); if (m_SelectedBundles.size()>1) m_Controls->m_JoinBundlesButton->setEnabled(true); } // Signal generation gui if (m_Controls->m_MaskComboBox->GetSelectedNode().IsNotNull() || m_Controls->m_TemplateComboBox->GetSelectedNode().IsNotNull()) { m_Controls->m_GeometryMessage->setVisible(true); m_Controls->m_GeometryFrame->setEnabled(false); } if (m_Controls->m_TemplateComboBox->GetSelectedNode().IsNotNull() && mitk::DiffusionPropertyHelper::IsDiffusionWeightedImage( dynamic_cast(m_Controls->m_TemplateComboBox->GetSelectedNode()->GetData()))) { m_Controls->m_DiffusionPropsMessage->setVisible(true); m_Controls->m_BvalueBox->setEnabled(false); m_Controls->m_NumGradientsBox->setEnabled(false); m_Controls->m_GeometryMessage->setVisible(true); m_Controls->m_GeometryFrame->setEnabled(false); } } void QmitkFiberfoxView::OnSelectionChanged( berry::IWorkbenchPart::Pointer, const QList& nodes ) { m_SelectedBundles2.clear(); m_SelectedImages.clear(); m_SelectedFiducials.clear(); m_SelectedFiducial = NULL; m_SelectedBundles.clear(); m_SelectedImageNode = NULL; // iterate all selected objects, adjust warning visibility for( int i=0; i(node->GetData())); // } // if ( node.IsNotNull() && isDiffusionImage ) // { // m_SelectedDWI = node; // m_SelectedImage = node; // m_SelectedImages.push_back(node); // } if( node.IsNotNull() && dynamic_cast(node->GetData()) ) { m_SelectedImages.push_back(node); m_SelectedImageNode = node; } else if ( node.IsNotNull() && dynamic_cast(node->GetData()) ) { m_SelectedBundles2.push_back(node); if (m_Controls->m_RealTimeFibers->isChecked()) { m_SelectedBundles.push_back(node); mitk::FiberBundle::Pointer newFib = dynamic_cast(node->GetData()); if (newFib->GetNumFibers()!=m_Controls->m_FiberDensityBox->value()) GenerateFibers(); } else m_SelectedBundles.push_back(node); } else if ( node.IsNotNull() && dynamic_cast(node->GetData()) ) { m_SelectedFiducials.push_back(node); m_SelectedFiducial = node; m_SelectedBundles.clear(); mitk::DataStorage::SetOfObjects::ConstPointer parents = GetDataStorage()->GetSources(node); for( mitk::DataStorage::SetOfObjects::const_iterator it = parents->begin(); it != parents->end(); ++it ) { mitk::DataNode::Pointer pNode = *it; if ( pNode.IsNotNull() && dynamic_cast(pNode->GetData()) ) m_SelectedBundles.push_back(pNode); } } } UpdateGui(); } void QmitkFiberfoxView::EnableCrosshairNavigation() { MITK_DEBUG << "EnableCrosshairNavigation"; // enable the crosshair navigation if (mitk::ILinkedRenderWindowPart* linkedRenderWindow = dynamic_cast(this->GetRenderWindowPart())) { MITK_DEBUG << "enabling linked navigation"; linkedRenderWindow->EnableLinkedNavigation(true); // linkedRenderWindow->EnableSlicingPlanes(true); } if (m_Controls->m_RealTimeFibers->isChecked()) GenerateFibers(); } void QmitkFiberfoxView::DisableCrosshairNavigation() { MITK_DEBUG << "DisableCrosshairNavigation"; // disable the crosshair navigation during the drawing if (mitk::ILinkedRenderWindowPart* linkedRenderWindow = dynamic_cast(this->GetRenderWindowPart())) { MITK_DEBUG << "disabling linked navigation"; linkedRenderWindow->EnableLinkedNavigation(false); // linkedRenderWindow->EnableSlicingPlanes(false); } } void QmitkFiberfoxView::NodeRemoved(const mitk::DataNode* node) { mitk::DataNode* nonConstNode = const_cast(node); std::map::iterator it = m_DataNodeToPlanarFigureData.find(nonConstNode); if (dynamic_cast(node->GetData())) { m_SelectedBundles.clear(); m_SelectedBundles2.clear(); } else if (dynamic_cast(node->GetData())) m_SelectedImages.clear(); if( it != m_DataNodeToPlanarFigureData.end() ) { QmitkPlanarFigureData& data = it->second; // remove observers data.m_Figure->RemoveObserver( data.m_EndPlacementObserverTag ); data.m_Figure->RemoveObserver( data.m_SelectObserverTag ); data.m_Figure->RemoveObserver( data.m_StartInteractionObserverTag ); data.m_Figure->RemoveObserver( data.m_EndInteractionObserverTag ); m_DataNodeToPlanarFigureData.erase( it ); } } void QmitkFiberfoxView::NodeAdded( const mitk::DataNode* node ) { // add observer for selection in renderwindow mitk::PlanarFigure* figure = dynamic_cast(node->GetData()); bool isPositionMarker (false); node->GetBoolProperty("isContourMarker", isPositionMarker); if( figure && !isPositionMarker ) { MITK_DEBUG << "figure added. will add interactor if needed."; mitk::PlanarFigureInteractor::Pointer figureInteractor = dynamic_cast(node->GetDataInteractor().GetPointer()); mitk::DataNode* nonConstNode = const_cast( node ); if(figureInteractor.IsNull()) { figureInteractor = mitk::PlanarFigureInteractor::New(); us::Module* planarFigureModule = us::ModuleRegistry::GetModule( "MitkPlanarFigure" ); figureInteractor->LoadStateMachine("PlanarFigureInteraction.xml", planarFigureModule ); figureInteractor->SetEventConfig( "PlanarFigureConfig.xml", planarFigureModule ); figureInteractor->SetDataNode( nonConstNode ); } MITK_DEBUG << "will now add observers for planarfigure"; QmitkPlanarFigureData data; data.m_Figure = figure; // // add observer for event when figure has been placed typedef itk::SimpleMemberCommand< QmitkFiberfoxView > SimpleCommandType; // SimpleCommandType::Pointer initializationCommand = SimpleCommandType::New(); // initializationCommand->SetCallbackFunction( this, &QmitkFiberfoxView::PlanarFigureInitialized ); // data.m_EndPlacementObserverTag = figure->AddObserver( mitk::EndPlacementPlanarFigureEvent(), initializationCommand ); // add observer for event when figure is picked (selected) typedef itk::MemberCommand< QmitkFiberfoxView > MemberCommandType; MemberCommandType::Pointer selectCommand = MemberCommandType::New(); selectCommand->SetCallbackFunction( this, &QmitkFiberfoxView::PlanarFigureSelected ); data.m_SelectObserverTag = figure->AddObserver( mitk::SelectPlanarFigureEvent(), selectCommand ); // add observer for event when interaction with figure starts SimpleCommandType::Pointer startInteractionCommand = SimpleCommandType::New(); startInteractionCommand->SetCallbackFunction( this, &QmitkFiberfoxView::DisableCrosshairNavigation); data.m_StartInteractionObserverTag = figure->AddObserver( mitk::StartInteractionPlanarFigureEvent(), startInteractionCommand ); // add observer for event when interaction with figure starts SimpleCommandType::Pointer endInteractionCommand = SimpleCommandType::New(); endInteractionCommand->SetCallbackFunction( this, &QmitkFiberfoxView::EnableCrosshairNavigation); data.m_EndInteractionObserverTag = figure->AddObserver( mitk::EndInteractionPlanarFigureEvent(), endInteractionCommand ); m_DataNodeToPlanarFigureData[nonConstNode] = data; } } void QmitkFiberfoxView::PlanarFigureSelected( itk::Object* object, const itk::EventObject& ) { mitk::TNodePredicateDataType::Pointer isPf = mitk::TNodePredicateDataType::New(); mitk::DataStorage::SetOfObjects::ConstPointer allPfs = this->GetDataStorage()->GetSubset( isPf ); for ( mitk::DataStorage::SetOfObjects::const_iterator it = allPfs->begin(); it!=allPfs->end(); ++it) { mitk::DataNode* node = *it; if( node->GetData() == object ) { node->SetSelected(true); m_SelectedFiducial = node; } else node->SetSelected(false); } UpdateGui(); this->RequestRenderWindowUpdate(); } void QmitkFiberfoxView::SetFocus() { m_Controls->m_CircleButton->setFocus(); } void QmitkFiberfoxView::SetOutputPath() { // SELECT FOLDER DIALOG string outputPath = QFileDialog::getExistingDirectory(NULL, "Save images to...", QString(outputPath.c_str())).toStdString(); if (outputPath.empty()) m_Controls->m_SavePathEdit->setText("-"); else { outputPath += "/"; m_Controls->m_SavePathEdit->setText(QString(outputPath.c_str())); } } diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging/src/internal/QmitkFiberfoxViewControls.ui b/Plugins/org.mitk.gui.qt.diffusionimaging/src/internal/QmitkFiberfoxViewControls.ui index ad1930e97a..d6bbb62e3f 100755 --- a/Plugins/org.mitk.gui.qt.diffusionimaging/src/internal/QmitkFiberfoxViewControls.ui +++ b/Plugins/org.mitk.gui.qt.diffusionimaging/src/internal/QmitkFiberfoxViewControls.ui @@ -1,3376 +1,3432 @@ QmitkFiberfoxViewControls 0 0 524 2652 Form Load Parameters :/QmitkDiffusionImaging/general_icons/upload.ico:/QmitkDiffusionImaging/general_icons/upload.ico 0 Fiber Definition Qt::Vertical 20 40 color: rgb(255, 0, 0); Please select an image or an existing fiber bundle to draw the fiber fiducials. If you can't provide a suitable image, generate one using the "Signal Generation" tab. Qt::AutoText Qt::AlignJustify|Qt::AlignVCenter true Fiducial Options All fiducials are treated as circles with the same radius as the first fiducial. Use Constant Fiducial Radius false false Align selected fiducials with voxel grid. Shifts selected fiducials to nearest voxel center. Align With Grid :/QmitkDiffusionImaging/general_icons/right.ico:/QmitkDiffusionImaging/general_icons/right.ico Operations false Join Bundles :/QmitkDiffusionImaging/general_icons/plus.ico:/QmitkDiffusionImaging/general_icons/plus.ico QFrame::NoFrame QFrame::Raised 0 0 0 0 Y false Rotation angle (in degree) around x-axis. 3 -360.000000000000000 360.000000000000000 0.100000000000000 Axis: false Rotation angle (in degree) around y-axis. 3 -360.000000000000000 360.000000000000000 0.100000000000000 Translation: false Translation (in mm) in direction of the z-axis. 3 -1000.000000000000000 1000.000000000000000 0.100000000000000 Translation (in mm) in direction of the y-axis. 3 -1000.000000000000000 1000.000000000000000 0.100000000000000 X false Rotation: false Z false Rotation angle (in degree) around z-axis. 3 -360.000000000000000 360.000000000000000 0.100000000000000 Translation (in mm) in direction of the x-axis. 3 -1000.000000000000000 1000.000000000000000 0.100000000000000 Scaling: false Scaling factor for selected fiber bundle along the x-axis. 0.010000000000000 10.000000000000000 0.010000000000000 1.000000000000000 Scaling factor for selected fiber bundle along the y-axis. 0.010000000000000 10.000000000000000 0.010000000000000 1.000000000000000 Scaling factor for selected fiber bundle along the z-axis. 0.010000000000000 10.000000000000000 0.010000000000000 1.000000000000000 false Copy Bundles :/QmitkDiffusionImaging/general_icons/copy2.ico:/QmitkDiffusionImaging/general_icons/copy2.ico false Transform Selection :/QmitkDiffusionImaging/general_icons/refresh.ico:/QmitkDiffusionImaging/general_icons/refresh.ico If checked, the fiducials belonging to the modified bundle are also modified. Include Fiducials true Fiber Options QFrame::NoFrame QFrame::Raised 0 0 0 0 QFrame::NoFrame QFrame::Raised 0 0 0 0 Tension: false Fiber Sampling: false 3 -1.000000000000000 1.000000000000000 0.100000000000000 0.000000000000000 3 -1.000000000000000 1.000000000000000 0.100000000000000 0.000000000000000 Bias: false Continuity: false 3 -1.000000000000000 1.000000000000000 0.100000000000000 0.000000000000000 Distance of fiber sampling points (in mm) 1 0.100000000000000 0.100000000000000 1.000000000000000 QFrame::NoFrame QFrame::Raised 0 0 0 0 6 #Fibers: false Specify number of fibers to generate for the selected bundle. 1 1000000 100 100 false Generate Fibers :/QmitkDiffusionImaging/general_icons/right.ico:/QmitkDiffusionImaging/general_icons/right.ico QFrame::NoFrame QFrame::Raised 0 0 0 0 Select fiber distribution inside of the fiducials. Uniform Gaussian Fiber Distribution: false Variance of the gaussian 3 0.001000000000000 10.000000000000000 0.010000000000000 0.100000000000000 QFrame::NoFrame QFrame::Raised 0 0 0 0 Disable to only generate fibers if "Generate Fibers" button is pressed. Real Time Fibers true Disable to only generate fibers if "Generate Fibers" button is pressed. Advanced Options false QFrame::NoFrame QFrame::Raised 0 0 0 0 false 30 30 Draw elliptical fiducial. :/QmitkDiffusionImaging/circle.png:/QmitkDiffusionImaging/circle.png 32 32 false true false 30 30 Flip fiber waypoints of selcted fiducial around one axis. :/QmitkDiffusionImaging/refresh.xpm:/QmitkDiffusionImaging/refresh.xpm 32 32 false true Qt::Horizontal 40 20 Signal Generation Extra-axonal Compartments QFrame::NoFrame QFrame::Raised 0 0 0 0 Volume Fraction: Select signal model for extra-axonal compartment. Ball Model Astrosticks Model Dot Model Prototype Signal Qt::Horizontal QFrame::NoFrame QFrame::Raised 0 0 0 0 Volume Fraction: Optional! If no volume fraction map for this compartment is set, the corresponding volume fractions are calculated from the input fibers. Select signal model for extra-axonal compartment. -- Ball Model Astrosticks Model Dot Model Prototype Signal Qt::Vertical 20 40 Image Settings Advanced Options QFrame::NoFrame QFrame::Raised 0 0 0 0 6 Gradient Directions: Number of gradient directions distributed over the half sphere. 0 10000 1 30 <html><head/><body><p>b-Value<span style=" font-style:italic;"> [s/mm</span><span style=" font-style:italic; vertical-align:super;">2</span><span style=" font-style:italic;">]</span>:</p></body></html> false b-value in s/mm² 0 10000 100 1000 color: rgb(255, 0, 0); Using geometry of selected image! color: rgb(255, 0, 0); Using gradients of selected DWI! QFrame::NoFrame QFrame::Raised 0 0 0 0 6 Disable partial volume. Treat voxel content as fiber-only if at least one fiber is present. Disable Partial Volume Effects false <html><head/><body><p>Echo Time <span style=" font-style:italic;">TE</span>: </p></body></html> false Partial fourier factor (0.5-1) 3 0.500000000000000 1.000000000000000 0.100000000000000 1.000000000000000 <html><head/><body><p><span style=" font-style:italic;">TE</span>, <span style=" font-style:italic;">T</span><span style=" font-style:italic; vertical-align:sub;">inhom</span> and <span style=" font-style:italic;">T2</span> will have no effect if unchecked.</p></body></html> Simulate Signal Relaxation true TE in milliseconds 1 10000 1 100 Dwell time (time to read one line in k-space) in ms. 100.000000000000000 0.100000000000000 1.000000000000000 Fiber radius used to calculate volume fractions (in µm). Set to 0 for automatic radius estimation. 0 1000 0 Partial Fourier: false TE in milliseconds 1 999999999 1 100 Dwell Time: false <html><head/><body><p><span style=" font-style:italic;">T</span><span style=" font-style:italic; vertical-align:sub;">inhom</span> Relaxation: </p></body></html> false <html><head/><body><p>Number of Coils:</p></body></html> false Output one image per compartment containing the corresponding volume fractions per voxel. Reverse Phase Encoding Direction false Signal Scale: Relaxation time due to magnetic field inhomogeneities (T2', in milliseconds). 1 10000 1 50 Output phase image and volume fraction maps. Output Additional Images false <html><head/><body><p>Repetition Time <span style=" font-style:italic;">TR</span>: </p></body></html> false TR in milliseconds 1 999999999 1 4000 Number of coils 1 128 1 1 Fiber Radius: <html><head/><body><p>Coil Sensitivity:</p></body></html> false Constant Linear Exponential QFrame::NoFrame QFrame::Raised 0 0 0 0 3 0.100000000000000 50.000000000000000 0.100000000000000 2.000000000000000 Image Spacing: 3 0.100000000000000 50.000000000000000 0.100000000000000 2.000000000000000 3 0.100000000000000 50.000000000000000 0.100000000000000 2.000000000000000 Image Dimensions: Fiber sampling factor which determines the accuracy of the calculated fiber and non-fiber volume fractions. 1 1000 1 20 Fiber sampling factor which determines the accuracy of the calculated fiber and non-fiber volume fractions. 1 1000 1 20 Fiber sampling factor which determines the accuracy of the calculated fiber and non-fiber volume fractions. 1 1000 1 3 Inter-axonal Compartment Select signal model for intra-axonal compartment. -- Stick Model Zeppelin Model Tensor Model QFrame::NoFrame QFrame::Raised 0 0 0 0 Volume Fraction: Optional! If no volume fraction map for this compartment is set, the corresponding volume fractions are calculated from the input fibers. true Stop current simulation. Abort Simulation :/QmitkDiffusionImaging/general_icons/abort.ico:/QmitkDiffusionImaging/general_icons/abort.ico Data QFrame::NoFrame QFrame::Raised 0 0 0 0 0 - ... <html><head/><body><p>Select a binary image to define the area of signal generation. Outside of the mask image only noise will be actively generated.</p></body></html> QComboBox::AdjustToMinimumContentsLength Fiber Bundle: false Save path: false Tissue Mask: false <html><head/><body><p>Select a fiber bundle to generate the white matter signal from. You can either use the fiber definition tab to manually define an input fiber bundle or you can also use any existing bundle, e.g. yielded by a tractography algorithm.</p></body></html> QComboBox::AdjustToMinimumContentsLength Template Image: false <html><head/><body><p>The parameters for the simulation (e.g. spacing, size, diffuison-weighted gradients, b-value) are adopted from this image.</p></body></html> QComboBox::AdjustToMinimumContentsLength 8 true Noise and other Artifacts - - - - Qt::Horizontal - - - - - + + - Add Noise + Add Distortions false - - - - Add ringing artifacts occuring at strong edges in the image. - + + - Add Gibbs Ringing + Add Spikes false - - + + true QFrame::NoFrame QFrame::Raised - + + + QFormLayout::AllNonFixedFieldsGrow + 6 0 0 0 0 - + - Shrink FOV (%): + Gradient: false - + - Shrink FOV by this percentage. + Eddy current induced magnetic field gradient (in mT/m). - 1 - - - 0.000000000000000 + 4 - 90.000000000000000 + 1000.000000000000000 - 0.100000000000000 + 0.001000000000000 - 25.000000000000000 + 0.010000000000000 - - + + + + Add Motion Artifacts + + + false + + + + + Qt::Horizontal - - + + + + true + QFrame::NoFrame QFrame::Raised - + + + 6 + 0 0 0 0 - + + + + + + + + + + - Num. Spikes: + K-Space Line Offset: + + + false - + - The number of randomly occurring signal spikes. + A larger offset increases the inensity of the ghost image. - - 1 + + 3 - - - - - - Spike amplitude relative to the largest signal amplitude of the corresponding k-space slice. + + 1.000000000000000 - 0.100000000000000 + 0.010000000000000 - 0.100000000000000 - - - - - - - Scale: + 0.250000000000000 - - - - !!!EXPERIMENTAL!!! - - - Add Eddy Current Effects - - - false - - - - - + + - Add Spikes + Add Noise false - - + + QFrame::NoFrame QFrame::Raised - + 0 0 0 0 - - - - Variance: - - - - - - - Variance of selected noise distribution. - - - 10 - - - 0.000000000000000 - - - 999999999.000000000000000 - - - 0.001000000000000 - - - 50.000000000000000 - - - - + - Distribution: + Num. Spikes: - + - Noise distribution + The number of randomly occurring signal spikes. + + + 1 - - - Complex Gaussian - - - - - Rician - - - - - - - - - Add N/2 Ghosts - - - false - - - - - - - true - - - QFrame::NoFrame - - - QFrame::Raised - - - - 6 - - - 0 - - - 0 - - - 0 - - - 0 - - - + + - - - - - - - + Spike amplitude relative to the largest signal amplitude of the corresponding k-space slice. - - Frequency Map: + + 0.100000000000000 - - false + + 0.100000000000000 - - - - Select image specifying the frequency inhomogeneities (in Hz). + + + + Scale: - - - - - - - - - Qt::Horizontal - - - - - - - Qt::Horizontal - - - - - - - Qt::Horizontal - + + + true QFrame::NoFrame QFrame::Raised - - - QFormLayout::AllNonFixedFieldsGrow - - - 6 - + 0 6 0 0 + + 6 + Toggle between random movement and linear movement. Randomize motion true - + Rotation 0 9 0 0 Degree: false x false Axis: false Maximum rotation around x-axis. 1 + + -360.000000000000000 + 360.000000000000000 1.000000000000000 0.000000000000000 Maximum rotation around z-axis. 1 + + -360.000000000000000 + 360.000000000000000 1.000000000000000 15.000000000000000 y false z false Maximum rotation around y-axis. 1 + + -360.000000000000000 + 360.000000000000000 1.000000000000000 0.000000000000000 - + Translation 0 0 0 Distance: false x false y false Axis: false z false Maximum translation along x-axis. 1 + + -1000.000000000000000 + 1000.000000000000000 1.000000000000000 0.000000000000000 Maximum translation along y-axis. 1 + + -1000.000000000000000 + 1000.000000000000000 1.000000000000000 0.000000000000000 Maximum translation along z-axis. 1 + + -1000.000000000000000 + 1000.000000000000000 1.000000000000000 0.000000000000000 + + + + QFrame::NoFrame + + + QFrame::Raised + + + + 0 + + + 0 + + + 0 + + + 0 + + + + + Motion volumes: + + + + + + + Type in the volume indices that should be affected by motion (e.g. "0 3 7" whithout quotation marks). Leave blank for motion in all volumes. Type in "random" to randomly select volumes for motion. + + + random + + + + + + - - + + + + Add ringing artifacts occuring at strong edges in the image. + - Add Motion Artifacts + Add Gibbs Ringing false - - + + + + Qt::Horizontal + + + + + + + Qt::Horizontal + + + + + + + Qt::Horizontal + + + + + + + Qt::Horizontal + + + + + - Add Distortions + Add N/2 Ghosts false Add Aliasing false - - + + + + Qt::Horizontal + + + + + + + Qt::Horizontal + + + + + + + !!!EXPERIMENTAL!!! + + + Add Eddy Current Effects + + + false + + + + + true QFrame::NoFrame QFrame::Raised - + 6 0 0 0 0 - + - K-Space Line Offset: + Shrink FOV (%): false - + - A larger offset increases the inensity of the ghost image. + Shrink FOV by this percentage. - 3 + 1 + + + 0.000000000000000 - 1.000000000000000 + 90.000000000000000 - 0.010000000000000 + 0.100000000000000 - 0.250000000000000 + 25.000000000000000 - - + + true QFrame::NoFrame QFrame::Raised - - - QFormLayout::AllNonFixedFieldsGrow - + 6 0 0 0 0 - + - Gradient: + Frequency Map: false - + - Eddy current induced magnetic field gradient (in mT/m). + Select image specifying the frequency inhomogeneities (in Hz). + + + + + + + + + + QFrame::NoFrame + + + QFrame::Raised + + + + 0 + + + 0 + + + 0 + + + 0 + + + + + Variance: + + + + + + + Variance of selected noise distribution. - 4 + 10 + + + 0.000000000000000 - 1000.000000000000000 + 999999999.000000000000000 0.001000000000000 - 0.010000000000000 + 50.000000000000000 + + + + + + + Distribution: + + + + + + + Noise distribution + + + Complex Gaussian + + + + + Rician + + - - - - Qt::Horizontal - - - - - - - Qt::Horizontal - - - true <html><head/><body><p>Start DWI generation from selected fiber bundle.</p><p>If no fiber bundle but an existing diffusion weighted image is selected, the enabled artifacts are added to this image.</p><p>If neither a fiber bundle nor a diffusion weighted image is selected, a grayscale image containing a simple gradient is generated.</p></body></html> Start Simulation :/QmitkDiffusionImaging/general_icons/right.ico:/QmitkDiffusionImaging/general_icons/right.ico Intra-axonal Compartment Select signal model for intra-axonal compartment. Stick Model Zeppelin Model Tensor Model Prototype Signal QFrame::NoFrame QFrame::Raised 0 0 0 0 Volume Fraction: Optional! If no volume fraction map for this compartment is set, the corresponding volume fractions are calculated from the input fibers. Save Parameters :/QmitkDiffusionImaging/general_icons/download.ico:/QmitkDiffusionImaging/general_icons/download.ico QmitkDataStorageComboBox QComboBox
QmitkDataStorageComboBox.h
 QmitkTensorModelParametersWidget QWidget
QmitkTensorModelParametersWidget.h
1 QmitkStickModelParametersWidget QWidget
QmitkStickModelParametersWidget.h
1 QmitkZeppelinModelParametersWidget QWidget
QmitkZeppelinModelParametersWidget.h
1 QmitkBallModelParametersWidget QWidget
QmitkBallModelParametersWidget.h
1 QmitkAstrosticksModelParametersWidget QWidget
QmitkAstrosticksModelParametersWidget.h
1 QmitkDotModelParametersWidget QWidget
QmitkDotModelParametersWidget.h
1 QmitkPrototypeSignalParametersWidget QWidget
QmitkPrototypeSignalParametersWidget.h
1 QmitkDataStorageComboBoxWithSelectNone QComboBox
QmitkDataStorageComboBoxWithSelectNone.h
 m_CircleButton m_FlipButton m_RealTimeFibers m_AdvancedOptionsBox m_DistributionBox m_VarianceBox m_FiberDensityBox m_FiberSamplingBox m_TensionBox m_ContinuityBox m_BiasBox m_GenerateFibersButton m_ConstantRadiusBox m_AlignOnGrid m_XrotBox m_YrotBox m_ZrotBox m_XtransBox m_YtransBox m_ZtransBox m_XscaleBox m_YscaleBox m_ZscaleBox m_TransformBundlesButton m_CopyBundlesButton m_JoinBundlesButton m_IncludeFiducials m_FiberBundleComboBox m_MaskComboBox m_TemplateComboBox m_SavePathEdit m_OutputPathButton m_GenerateImageButton m_AbortSimulationButton m_SimulationStatusText m_SizeX m_SizeY m_SizeZ m_SpacingX m_SpacingY m_SpacingZ m_NumGradientsBox m_BvalueBox m_AdvancedOptionsBox_2 m_SignalScaleBox m_TEbox m_TRbox m_LineReadoutTimeBox m_PartialFourier m_T2starBox m_FiberRadius m_ReversePhaseBox m_RelaxationBox m_EnforcePureFiberVoxelsBox m_VolumeFractionsBox m_Compartment1Box m_Comp1VolumeFraction m_Compartment2Box m_Comp2VolumeFraction m_Compartment3Box m_Comp3VolumeFraction m_Compartment4Box m_Comp4VolumeFraction m_AddNoise m_NoiseDistributionBox m_NoiseLevel m_AddSpikes m_SpikeNumBox m_SpikeScaleBox m_AddGhosts m_kOffsetBox m_AddAliasing m_WrapBox m_AddDistortions m_FrequencyMapBox m_AddMotion m_RandomMotion m_MaxRotationBoxX m_MaxRotationBoxY m_MaxRotationBoxZ m_MaxTranslationBoxX m_MaxTranslationBoxY m_MaxTranslationBoxZ m_AddEddy m_EddyGradientStrength m_AddGibbsRinging m_SaveParametersButton m_LoadParametersButton tabWidget