diff --git a/Modules/DiffusionImaging/FiberTracking/Algorithms/itkAddArtifactsToDwiImageFilter.cpp b/Modules/DiffusionImaging/FiberTracking/Algorithms/itkAddArtifactsToDwiImageFilter.cpp index 0ea00e425a..6fabde0dc5 100644 --- a/Modules/DiffusionImaging/FiberTracking/Algorithms/itkAddArtifactsToDwiImageFilter.cpp +++ b/Modules/DiffusionImaging/FiberTracking/Algorithms/itkAddArtifactsToDwiImageFilter.cpp @@ -1,337 +1,337 @@ /*=================================================================== 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 __itkAddArtifactsToDwiImageFilter_txx #define __itkAddArtifactsToDwiImageFilter_txx #include #include #include #include "itkAddArtifactsToDwiImageFilter.h" #include #include #include #include #include #include #include #define _USE_MATH_DEFINES #include namespace itk { template< class TPixelType > AddArtifactsToDwiImageFilter< TPixelType > ::AddArtifactsToDwiImageFilter() : m_UseConstantRandSeed(false) { this->SetNumberOfRequiredInputs( 1 ); m_RandGen = itk::Statistics::MersenneTwisterRandomVariateGenerator::New(); m_RandGen->SetSeed(); } template< class TPixelType > void AddArtifactsToDwiImageFilter< TPixelType > ::GenerateData() { if (m_UseConstantRandSeed) // always generate the same random numbers? m_RandGen->SetSeed(0); else m_RandGen->SetSeed(); m_StartTime = clock(); m_StatusText = "Starting simulation\n"; typename InputImageType::Pointer inputImage = static_cast< InputImageType* >( this->ProcessObject::GetInput(0) ); itk::ImageRegion<3> inputRegion = inputImage->GetLargestPossibleRegion(); typename itk::ImageDuplicator::Pointer duplicator = itk::ImageDuplicator::New(); duplicator->SetInputImage( inputImage ); duplicator->Update(); typename InputImageType::Pointer outputImage = duplicator->GetOutput(); // is input slize size even? int xMax=inputRegion.GetSize(0); int yMax=inputRegion.GetSize(1); if ( xMax%2 == 1 ) xMax += 1; if ( yMax%2 == 1 ) yMax += 1; // create slice object typename SliceType::Pointer slice = SliceType::New(); ImageRegion<2> sliceRegion; sliceRegion.SetSize(0, xMax); sliceRegion.SetSize(1, yMax); slice->SetLargestPossibleRegion( sliceRegion ); slice->SetBufferedRegion( sliceRegion ); slice->SetRequestedRegion( sliceRegion ); slice->Allocate(); slice->FillBuffer(0.0); ImageRegion<2> upsampledSliceRegion; if (m_Parameters.m_DoAddGibbsRinging) { upsampledSliceRegion.SetSize(0, xMax*2); upsampledSliceRegion.SetSize(1, yMax*2); } // frequency map slice typename SliceType::Pointer fMap = NULL; if (m_Parameters.m_FrequencyMap.IsNotNull()) { fMap = SliceType::New(); fMap->SetLargestPossibleRegion( sliceRegion ); fMap->SetBufferedRegion( sliceRegion ); fMap->SetRequestedRegion( sliceRegion ); fMap->Allocate(); fMap->FillBuffer(0.0); } - if (m_Parameters.m_Spikes>0 || m_Parameters.m_FrequencyMap.IsNotNull() || m_Parameters.m_KspaceLineOffset>0.0 || m_Parameters.m_DoAddGibbsRinging || m_Parameters.m_EddyStrength>0 || m_Parameters.m_Wrap<1.0) + if (m_Parameters.m_Spikes>0 || m_Parameters.m_FrequencyMap.IsNotNull() || m_Parameters.m_KspaceLineOffset>0.0 || m_Parameters.m_DoAddGibbsRinging || m_Parameters.m_EddyStrength>0 || m_Parameters.m_CroppingFactor<1.0) { - ImageRegion<3> croppedRegion = inputRegion; croppedRegion.SetSize(1, croppedRegion.GetSize(1)*m_Parameters.m_Wrap); + ImageRegion<3> croppedRegion = inputRegion; croppedRegion.SetSize(1, croppedRegion.GetSize(1)*m_Parameters.m_CroppingFactor); itk::Point shiftedOrigin = inputImage->GetOrigin(); shiftedOrigin[1] += (inputRegion.GetSize(1)-croppedRegion.GetSize(1))*inputImage->GetSpacing()[1]/2; outputImage = InputImageType::New(); outputImage->SetSpacing( inputImage->GetSpacing() ); outputImage->SetOrigin( shiftedOrigin ); outputImage->SetDirection( inputImage->GetDirection() ); outputImage->SetLargestPossibleRegion( croppedRegion ); outputImage->SetBufferedRegion( croppedRegion ); outputImage->SetRequestedRegion( croppedRegion ); outputImage->SetVectorLength( inputImage->GetVectorLength() ); outputImage->Allocate(); typename InputImageType::PixelType temp; temp.SetSize(inputImage->GetVectorLength()); temp.Fill(0.0); outputImage->FillBuffer(temp); int tempY=croppedRegion.GetSize(1); tempY += tempY%2; croppedRegion.SetSize(1, tempY); MatrixType transform = inputImage->GetDirection(); for (int i=0; i<3; i++) for (int j=0; j<3; j++) transform[i][j] *= inputImage->GetSpacing()[j]; m_StatusText += this->GetTime()+" > Adjusting complex signal\n"; if (m_Parameters.m_FrequencyMap.IsNotNull()) m_StatusText += "Simulating distortions\n"; if (m_Parameters.m_DoAddGibbsRinging) m_StatusText += "Simulating ringing artifacts\n"; if (m_Parameters.m_EddyStrength>0) m_StatusText += "Simulating eddy currents\n"; if (m_Parameters.m_Spikes>0) m_StatusText += "Simulating spikes\n"; - if (m_Parameters.m_Wrap<1.0) + if (m_Parameters.m_CroppingFactor<1.0) m_StatusText += "Simulating aliasing artifacts\n"; if (m_Parameters.m_KspaceLineOffset>0) m_StatusText += "Simulating ghosts\n"; std::vector< int > spikeVolume; for (int i=0; iGetIntegerVariate()%inputImage->GetVectorLength()); std::sort (spikeVolume.begin(), spikeVolume.end()); std::reverse (spikeVolume.begin(), spikeVolume.end()); 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(inputImage->GetVectorLength()*inputRegion.GetSize(2)); for (unsigned int g=0; gGetVectorLength(); g++) { std::vector< int > spikeSlice; while (!spikeVolume.empty() && spikeVolume.back()==g) { spikeSlice.push_back(m_RandGen->GetIntegerVariate()%inputImage->GetLargestPossibleRegion().GetSize(2)); spikeVolume.pop_back(); } std::sort (spikeSlice.begin(), spikeSlice.end()); std::reverse (spikeSlice.begin(), spikeSlice.end()); for (unsigned int z=0; zGetAbortGenerateData()) { m_StatusText += "\n"+this->GetTime()+" > Simulation aborted\n"; return; } std::vector< SliceType::Pointer > compartmentSlices; // extract slice from channel g for (unsigned int y=0; yGetPixel(index3D)[g]; slice->SetPixel(index2D, pix2D); if (fMap.IsNotNull()) fMap->SetPixel(index2D, m_Parameters.m_FrequencyMap->GetPixel(index3D)); } if (m_Parameters.m_DoAddGibbsRinging) { itk::ResampleImageFilter::Pointer resampler = itk::ResampleImageFilter::New(); resampler->SetInput(slice); resampler->SetOutputParametersFromImage(slice); resampler->SetSize(upsampledSliceRegion.GetSize()); resampler->SetOutputSpacing(slice->GetSpacing()/2); resampler->Update(); typename SliceType::Pointer upslice = resampler->GetOutput(); compartmentSlices.push_back(upslice); if (fMap.IsNotNull()) { itk::ResampleImageFilter::Pointer resampler = itk::ResampleImageFilter::New(); resampler->SetInput(fMap); resampler->SetOutputParametersFromImage(fMap); resampler->SetSize(upsampledSliceRegion.GetSize()); resampler->SetOutputSpacing(fMap->GetSpacing()/2); resampler->Update(); fMap = resampler->GetOutput(); } } else compartmentSlices.push_back(slice); // fourier transform slice typename ComplexSliceType::Pointer fSlice; itk::Size<2> outSize; outSize.SetElement(0, xMax); outSize.SetElement(1, croppedRegion.GetSize()[1]); typename itk::KspaceImageFilter< SliceType::PixelType >::Pointer idft = itk::KspaceImageFilter< SliceType::PixelType >::New(); idft->SetUseConstantRandSeed(m_UseConstantRandSeed); idft->SetCompartmentImages(compartmentSlices); idft->SetkOffset(m_Parameters.m_KspaceLineOffset); idft->SettLine(m_Parameters.m_tLine); idft->SetSimulateRelaxation(false); idft->SetFrequencyMap(fMap); idft->SetDiffusionGradientDirection(m_Parameters.GetGradientDirection(g)); idft->SetEddyGradientMagnitude(m_Parameters.m_EddyStrength); idft->SetTE(m_Parameters.m_tEcho); idft->SetZ((double)z-(double)inputRegion.GetSize(2)/2.0); idft->SetDirectionMatrix(transform); idft->SetOutSize(outSize); int numSpikes = 0; while (!spikeSlice.empty() && spikeSlice.back()==z) { numSpikes++; spikeSlice.pop_back(); } idft->SetSpikes(numSpikes); idft->SetSpikeAmplitude(m_Parameters.m_SpikeAmplitude); idft->Update(); fSlice = idft->GetOutput(); // inverse fourier transform slice typename SliceType::Pointer newSlice; typename itk::DftImageFilter< SliceType::PixelType >::Pointer dft = itk::DftImageFilter< SliceType::PixelType >::New(); dft->SetInput(fSlice); 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++) { typename InputImageType::IndexType index3D; index3D[0]=x; index3D[1]=y; index3D[2]=z; typename InputImageType::PixelType pix3D = outputImage->GetPixel(index3D); typename SliceType::IndexType index2D; index2D[0]=x; index2D[1]=y; double signal = newSlice->GetPixel(index2D); if (signal>0) signal = floor(signal+0.5); else signal = ceil(signal-0.5); pix3D[g] = signal; outputImage->SetPixel(index3D, pix3D); } ++disp; unsigned long newTick = 50*disp.count()/disp.expected_count(); for (unsigned int tick = 0; tick<(newTick-lastTick); tick++) m_StatusText += "*"; lastTick = newTick; } } m_StatusText += "\n\n"; } if (m_Parameters.m_NoiseModel!=NULL) { m_StatusText += this->GetTime()+" > Adding noise\n"; m_StatusText += "0% 10 20 30 40 50 60 70 80 90 100%\n"; m_StatusText += "|----|----|----|----|----|----|----|----|----|----|\n*"; unsigned long lastTick = 0; ImageRegionIterator it1 (outputImage, outputImage->GetLargestPossibleRegion()); boost::progress_display disp(outputImage->GetLargestPossibleRegion().GetNumberOfPixels()); while(!it1.IsAtEnd()) { if (this->GetAbortGenerateData()) { m_StatusText += "\n"+this->GetTime()+" > Simulation aborted\n"; return; } ++disp; unsigned long newTick = 50*disp.count()/disp.expected_count(); for (unsigned int tick = 0; tick<(newTick-lastTick); tick++) m_StatusText += "*"; lastTick = newTick; typename InputImageType::PixelType signal = it1.Get(); m_Parameters.m_NoiseModel->AddNoise(signal); it1.Set(signal); ++it1; } m_StatusText += "\n\n"; } this->SetNthOutput(0, outputImage); m_StatusText += "Finished simulation\n"; m_StatusText += "Simulation time: "+GetTime(); } template< class TPixelType > std::string AddArtifactsToDwiImageFilter< TPixelType >::GetTime() { unsigned long total = (double)(clock() - m_StartTime)/CLOCKS_PER_SEC; 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)); return out; } } #endif diff --git a/Modules/DiffusionImaging/FiberTracking/Algorithms/itkTractsToDWIImageFilter.cpp b/Modules/DiffusionImaging/FiberTracking/Algorithms/itkTractsToDWIImageFilter.cpp index 03dbaedf03..0b474f357c 100755 --- a/Modules/DiffusionImaging/FiberTracking/Algorithms/itkTractsToDWIImageFilter.cpp +++ b/Modules/DiffusionImaging/FiberTracking/Algorithms/itkTractsToDWIImageFilter.cpp @@ -1,885 +1,885 @@ /*=================================================================== 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 namespace itk { template< class PixelType > TractsToDWIImageFilter< PixelType >::TractsToDWIImageFilter() : 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 >::DoKspaceStuff( std::vector< DoubleDwiType::Pointer >& images ) { // create slice object ImageRegion<2> sliceRegion; sliceRegion.SetSize(0, m_UpsampledImageRegion.GetSize()[0]); sliceRegion.SetSize(1, m_UpsampledImageRegion.GetSize()[1]); Vector< double, 2 > sliceSpacing; sliceSpacing[0] = m_UpsampledSpacing[0]; sliceSpacing[1] = m_UpsampledSpacing[1]; // frequency map slice SliceType::Pointer fMapSlice = NULL; if (m_Parameters.m_FrequencyMap.IsNotNull()) { fMapSlice = SliceType::New(); ImageRegion<2> region; region.SetSize(0, m_UpsampledImageRegion.GetSize()[0]); region.SetSize(1, m_UpsampledImageRegion.GetSize()[1]); fMapSlice->SetLargestPossibleRegion( region ); fMapSlice->SetBufferedRegion( region ); fMapSlice->SetRequestedRegion( region ); fMapSlice->Allocate(); fMapSlice->FillBuffer(0.0); } DoubleDwiType::Pointer newImage = DoubleDwiType::New(); newImage->SetSpacing( m_Parameters.m_ImageSpacing ); newImage->SetOrigin( m_Parameters.m_ImageOrigin ); newImage->SetDirection( m_Parameters.m_ImageDirection ); newImage->SetLargestPossibleRegion( m_Parameters.m_ImageRegion ); newImage->SetBufferedRegion( m_Parameters.m_ImageRegion ); newImage->SetRequestedRegion( m_Parameters.m_ImageRegion ); newImage->SetVectorLength( images.at(0)->GetVectorLength() ); newImage->Allocate(); MatrixType transform = m_Parameters.m_ImageDirection; for (int i=0; i<3; i++) for (int j=0; j<3; j++) { if (j<2) transform[i][j] *= m_UpsampledSpacing[j]; else transform[i][j] *= m_Parameters.m_ImageSpacing[j]; } std::vector< unsigned int > spikeVolume; for (int i=0; iGetIntegerVariate()%images.at(0)->GetVectorLength()); std::sort (spikeVolume.begin(), spikeVolume.end()); std::reverse (spikeVolume.begin(), spikeVolume.end()); 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(2*images.at(0)->GetVectorLength()*images.at(0)->GetLargestPossibleRegion().GetSize(2)); for (unsigned int g=0; gGetVectorLength(); g++) { std::vector< 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; 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]); if (fMapSlice.IsNotNull() && i==0) fMapSlice->SetPixel(index2D, m_Parameters.m_FrequencyMap->GetPixel(index3D)); } compartmentSlices.push_back(slice); t2Vector.push_back(signalModel->GetT2()); } if (this->GetAbortGenerateData()) return NULL; // create k-sapce (inverse fourier transform slices) itk::Size<2> outSize; outSize.SetElement(0, m_Parameters.m_ImageRegion.GetSize(0)); outSize.SetElement(1, m_Parameters.m_ImageRegion.GetSize(1)); itk::KspaceImageFilter< SliceType::PixelType >::Pointer idft = itk::KspaceImageFilter< SliceType::PixelType >::New(); idft->SetCompartmentImages(compartmentSlices); idft->SetT2(t2Vector); idft->SetUseConstantRandSeed(m_UseConstantRandSeed); idft->SetkOffset(m_Parameters.m_KspaceLineOffset); idft->SettLine(m_Parameters.m_tLine); idft->SetTE(m_Parameters.m_tEcho); idft->SetTinhom(m_Parameters.m_tInhom); idft->SetSimulateRelaxation(m_Parameters.m_DoSimulateRelaxation); idft->SetEddyGradientMagnitude(m_Parameters.m_EddyStrength); idft->SetZ((double)z-(double)images.at(0)->GetLargestPossibleRegion().GetSize(2)/2.0); idft->SetDirectionMatrix(transform); idft->SetDiffusionGradientDirection(m_Parameters.m_FiberModelList.at(0)->GetGradientDirection(g)); idft->SetFrequencyMap(fMapSlice); idft->SetSignalScale(m_Parameters.m_SignalScale); idft->SetOutSize(outSize); int numSpikes = 0; while (!spikeSlice.empty() && spikeSlice.back()==z) { numSpikes++; spikeSlice.pop_back(); } idft->SetSpikes(numSpikes); idft->SetSpikeAmplitude(m_Parameters.m_SpikeAmplitude); idft->Update(); ComplexSliceType::Pointer fSlice; fSlice = idft->GetOutput(); ++disp; unsigned long newTick = 50*disp.count()/disp.expected_count(); for (int tick = 0; tick<(newTick-lastTick); tick++) m_StatusText += "*"; lastTick = newTick; // fourier transform slice SliceType::Pointer newSlice; itk::DftImageFilter< SliceType::PixelType >::Pointer dft = itk::DftImageFilter< SliceType::PixelType >::New(); dft->SetInput(fSlice); 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; SliceType::IndexType index2D; index2D[0]=x; index2D[1]=y; DoubleDwiType::PixelType pix3D = newImage->GetPixel(index3D); pix3D[g] = newSlice->GetPixel(index2D); newImage->SetPixel(index3D, pix3D); } ++disp; newTick = 50*disp.count()/disp.expected_count(); for (int tick = 0; tick<(newTick-lastTick); tick++) m_StatusText += "*"; lastTick = newTick; } } m_StatusText += "\n\n"; return newImage; } template< class PixelType > void TractsToDWIImageFilter< PixelType >::GenerateData() { m_StartTime = clock(); m_StatusText = "Starting simulation\n"; // check input data if (m_FiberBundle.IsNull()) itkExceptionMacro("Input fiber bundle is NULL!"); if (m_Parameters.m_DoDisablePartialVolume) while (m_Parameters.m_FiberModelList.size()>1) m_Parameters.m_FiberModelList.pop_back(); if (m_Parameters.m_NonFiberModelList.empty()) itkExceptionMacro("No diffusion model for non-fiber compartments defined!"); int baselineIndex = m_Parameters.GetFirstBaselineIndex(); if (baselineIndex<0) itkExceptionMacro("No baseline index found!"); if (m_UseConstantRandSeed) // always generate the same random numbers? m_RandGen->SetSeed(0); else m_RandGen->SetSeed(); // initialize output dwi image - ImageRegion<3> croppedRegion = m_Parameters.m_ImageRegion; croppedRegion.SetSize(1, croppedRegion.GetSize(1)*m_Parameters.m_Wrap); + ImageRegion<3> croppedRegion = m_Parameters.m_ImageRegion; croppedRegion.SetSize(1, croppedRegion.GetSize(1)*m_Parameters.m_CroppingFactor); itk::Point shiftedOrigin = m_Parameters.m_ImageOrigin; shiftedOrigin[1] += (m_Parameters.m_ImageRegion.GetSize(1)-croppedRegion.GetSize(1))*m_Parameters.m_ImageSpacing[1]/2; typename OutputImageType::Pointer outImage = OutputImageType::New(); outImage->SetSpacing( m_Parameters.m_ImageSpacing ); outImage->SetOrigin( shiftedOrigin ); outImage->SetDirection( m_Parameters.m_ImageDirection ); outImage->SetLargestPossibleRegion( croppedRegion ); outImage->SetBufferedRegion( croppedRegion ); outImage->SetRequestedRegion( croppedRegion ); outImage->SetVectorLength( m_Parameters.GetNumVolumes() ); outImage->Allocate(); typename OutputImageType::PixelType temp; temp.SetSize(m_Parameters.GetNumVolumes()); temp.Fill(0.0); outImage->FillBuffer(temp); // ADJUST GEOMETRY FOR FURTHER PROCESSING // is input slize size a power of two? unsigned int x=m_Parameters.m_ImageRegion.GetSize(0); unsigned int y=m_Parameters.m_ImageRegion.GetSize(1); ItkDoubleImgType::SizeType pad; pad[0]=x%2; pad[1]=y%2; pad[2]=0; m_Parameters.m_ImageRegion.SetSize(0, x+pad[0]); m_Parameters.m_ImageRegion.SetSize(1, y+pad[1]); if (m_Parameters.m_FrequencyMap.IsNotNull() && (pad[0]>0 || pad[1]>0)) { itk::ConstantPadImageFilter::Pointer zeroPadder = itk::ConstantPadImageFilter::New(); zeroPadder->SetInput(m_Parameters.m_FrequencyMap); zeroPadder->SetConstant(0); zeroPadder->SetPadUpperBound(pad); zeroPadder->Update(); m_Parameters.m_FrequencyMap = zeroPadder->GetOutput(); } if (m_Parameters.m_MaskImage.IsNotNull() && (pad[0]>0 || pad[1]>0)) { itk::ConstantPadImageFilter::Pointer zeroPadder = itk::ConstantPadImageFilter::New(); zeroPadder->SetInput(m_Parameters.m_MaskImage); zeroPadder->SetConstant(0); zeroPadder->SetPadUpperBound(pad); zeroPadder->Update(); m_Parameters.m_MaskImage = zeroPadder->GetOutput(); } // Apply in-plane upsampling for Gibbs ringing artifact double upsampling = 1; if (m_Parameters.m_DoAddGibbsRinging) upsampling = 2; m_UpsampledSpacing = m_Parameters.m_ImageSpacing; m_UpsampledSpacing[0] /= upsampling; m_UpsampledSpacing[1] /= upsampling; m_UpsampledImageRegion = m_Parameters.m_ImageRegion; m_UpsampledImageRegion.SetSize(0, m_Parameters.m_ImageRegion.GetSize()[0]*upsampling); m_UpsampledImageRegion.SetSize(1, m_Parameters.m_ImageRegion.GetSize()[1]*upsampling); m_UpsampledOrigin = m_Parameters.m_ImageOrigin; m_UpsampledOrigin[0] -= m_Parameters.m_ImageSpacing[0]/2; m_UpsampledOrigin[0] += m_UpsampledSpacing[0]/2; m_UpsampledOrigin[1] -= m_Parameters.m_ImageSpacing[1]/2; m_UpsampledOrigin[1] += m_UpsampledSpacing[1]/2; m_UpsampledOrigin[2] -= m_Parameters.m_ImageSpacing[2]/2; m_UpsampledOrigin[2] += m_UpsampledSpacing[2]/2; // generate double images to store the individual compartment signals std::vector< DoubleDwiType::Pointer > compartments; for (unsigned int i=0; iSetSpacing( m_UpsampledSpacing ); doubleDwi->SetOrigin( m_UpsampledOrigin ); doubleDwi->SetDirection( m_Parameters.m_ImageDirection ); doubleDwi->SetLargestPossibleRegion( m_UpsampledImageRegion ); doubleDwi->SetBufferedRegion( m_UpsampledImageRegion ); doubleDwi->SetRequestedRegion( m_UpsampledImageRegion ); doubleDwi->SetVectorLength( m_Parameters.GetNumVolumes() ); doubleDwi->Allocate(); DoubleDwiType::PixelType pix; pix.SetSize(m_Parameters.GetNumVolumes()); pix.Fill(0.0); doubleDwi->FillBuffer(pix); compartments.push_back(doubleDwi); } // initialize volume fraction images m_VolumeFractions.clear(); for (unsigned int i=0; iSetSpacing( m_UpsampledSpacing ); doubleImg->SetOrigin( m_UpsampledOrigin ); doubleImg->SetDirection( m_Parameters.m_ImageDirection ); doubleImg->SetLargestPossibleRegion( m_UpsampledImageRegion ); doubleImg->SetBufferedRegion( m_UpsampledImageRegion ); doubleImg->SetRequestedRegion( m_UpsampledImageRegion ); doubleImg->Allocate(); doubleImg->FillBuffer(0); m_VolumeFractions.push_back(doubleImg); } // resample mask image and frequency map to fit upsampled geometry if (m_Parameters.m_DoAddGibbsRinging) { if (m_Parameters.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_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_MaskImage); resampler->SetSize(m_UpsampledImageRegion.GetSize()); resampler->SetOutputSpacing(m_UpsampledSpacing); resampler->SetOutputOrigin(m_UpsampledOrigin); resampler->Update(); m_Parameters.m_MaskImage = resampler->GetOutput(); } // resample frequency map if (m_Parameters.m_FrequencyMap.IsNotNull()) { itk::ResampleImageFilter::Pointer resampler = itk::ResampleImageFilter::New(); resampler->SetInput(m_Parameters.m_FrequencyMap); resampler->SetOutputParametersFromImage(m_Parameters.m_FrequencyMap); resampler->SetSize(m_UpsampledImageRegion.GetSize()); resampler->SetOutputSpacing(m_UpsampledSpacing); resampler->SetOutputOrigin(m_UpsampledOrigin); resampler->Update(); m_Parameters.m_FrequencyMap = resampler->GetOutput(); } } // no input tissue mask is set -> create default bool maskImageSet = true; if (m_Parameters.m_MaskImage.IsNull()) { m_StatusText += "No tissue mask set\n"; MITK_INFO << "No tissue mask set"; m_Parameters.m_MaskImage = ItkUcharImgType::New(); m_Parameters.m_MaskImage->SetSpacing( m_UpsampledSpacing ); m_Parameters.m_MaskImage->SetOrigin( m_UpsampledOrigin ); m_Parameters.m_MaskImage->SetDirection( m_Parameters.m_ImageDirection ); m_Parameters.m_MaskImage->SetLargestPossibleRegion( m_UpsampledImageRegion ); m_Parameters.m_MaskImage->SetBufferedRegion( m_UpsampledImageRegion ); m_Parameters.m_MaskImage->SetRequestedRegion( m_UpsampledImageRegion ); m_Parameters.m_MaskImage->Allocate(); m_Parameters.m_MaskImage->FillBuffer(1); maskImageSet = false; } else { m_StatusText += "Using tissue mask\n"; MITK_INFO << "Using tissue mask"; } m_Parameters.m_ImageRegion = croppedRegion; x=m_Parameters.m_ImageRegion.GetSize(0); y=m_Parameters.m_ImageRegion.GetSize(1); if ( x%2 == 1 ) m_Parameters.m_ImageRegion.SetSize(0, x+1); if ( y%2 == 1 ) m_Parameters.m_ImageRegion.SetSize(1, y+1); // resample fiber bundle for sufficient voxel coverage m_StatusText += "\n"+this->GetTime()+" > Resampling fibers ...\n"; double segmentVolume = 0.0001; float minSpacing = 1; if(m_UpsampledSpacing[0]GetDeepCopy(); double volumeAccuracy = 10; fiberBundle->ResampleFibers(minSpacing/volumeAccuracy); double mmRadius = m_Parameters.m_AxonRadius/1000; if (mmRadius>0) segmentVolume = M_PI*mmRadius*mmRadius*minSpacing/volumeAccuracy; double maxVolume = 0; double voxelVolume = m_UpsampledSpacing[0]*m_UpsampledSpacing[1]*m_UpsampledSpacing[2]; if (m_Parameters.m_DoAddMotion) { if (m_Parameters.m_DoRandomizeMotion) { m_StatusText += "Adding random motion artifacts:\n"; m_StatusText += "Maximum rotation: +/-" + boost::lexical_cast(m_Parameters.m_Rotation) + "°\n"; m_StatusText += "Maximum translation: +/-" + boost::lexical_cast(m_Parameters.m_Translation) + "mm\n"; } else { m_StatusText += "Adding linear motion artifacts:\n"; m_StatusText += "Maximum rotation: " + boost::lexical_cast(m_Parameters.m_Rotation) + "°\n"; m_StatusText += "Maximum translation: " + boost::lexical_cast(m_Parameters.m_Translation) + "mm\n"; } MITK_INFO << "Adding motion artifacts"; MITK_INFO << "Maximum rotation: " << m_Parameters.m_Rotation; MITK_INFO << "Maxmimum translation: " << m_Parameters.m_Translation; } maxVolume = 0; m_StatusText += "\n"+this->GetTime()+" > Generating signal of " + boost::lexical_cast(m_Parameters.m_FiberModelList.size()) + " fiber compartments\n"; MITK_INFO << "Generating signal of " << m_Parameters.m_FiberModelList.size() << " fiber compartments"; int numFibers = m_FiberBundle->GetNumFibers(); boost::progress_display disp(numFibers*m_Parameters.GetNumVolumes()); ofstream logFile; logFile.open("fiberfox_motion.log"); logFile << "0 rotation: 0,0,0; translation: 0,0,0\n"; // get transform for motion artifacts FiberBundleType fiberBundleTransformed = fiberBundle; VectorType rotation = m_Parameters.m_Rotation/m_Parameters.GetNumVolumes(); VectorType translation = m_Parameters.m_Translation/m_Parameters.GetNumVolumes(); // creat image to hold transformed mask (motion artifact) ItkUcharImgType::Pointer tempTissueMask = ItkUcharImgType::New(); itk::ImageDuplicator::Pointer duplicator = itk::ImageDuplicator::New(); duplicator->SetInputImage(m_Parameters.m_MaskImage); duplicator->Update(); tempTissueMask = duplicator->GetOutput(); // second upsampling needed for motion artifacts ImageRegion<3> upsampledImageRegion = m_UpsampledImageRegion; itk::Vector upsampledSpacing = m_UpsampledSpacing; upsampledSpacing[0] /= 4; upsampledSpacing[1] /= 4; upsampledSpacing[2] /= 4; upsampledImageRegion.SetSize(0, m_UpsampledImageRegion.GetSize()[0]*4); upsampledImageRegion.SetSize(1, m_UpsampledImageRegion.GetSize()[1]*4); upsampledImageRegion.SetSize(2, m_UpsampledImageRegion.GetSize()[2]*4); itk::Point upsampledOrigin = m_UpsampledOrigin; upsampledOrigin[0] -= m_UpsampledSpacing[0]/2; upsampledOrigin[0] += upsampledSpacing[0]/2; upsampledOrigin[1] -= m_UpsampledSpacing[1]/2; upsampledOrigin[1] += upsampledSpacing[1]/2; upsampledOrigin[2] -= m_UpsampledSpacing[2]/2; upsampledOrigin[2] += upsampledSpacing[2]/2; ItkUcharImgType::Pointer upsampledTissueMask = ItkUcharImgType::New(); itk::ResampleImageFilter::Pointer upsampler = itk::ResampleImageFilter::New(); upsampler->SetInput(m_Parameters.m_MaskImage); upsampler->SetOutputParametersFromImage(m_Parameters.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(); upsampledTissueMask = upsampler->GetOutput(); m_StatusText += "0% 10 20 30 40 50 60 70 80 90 100%\n"; m_StatusText += "|----|----|----|----|----|----|----|----|----|----|\n*"; unsigned int lastTick = 0; for (int g=0; gGetFiberPolyData(); ItkDoubleImgType::Pointer intraAxonalVolume = ItkDoubleImgType::New(); intraAxonalVolume->SetSpacing( m_UpsampledSpacing ); intraAxonalVolume->SetOrigin( m_UpsampledOrigin ); intraAxonalVolume->SetDirection( m_Parameters.m_ImageDirection ); intraAxonalVolume->SetLargestPossibleRegion( m_UpsampledImageRegion ); intraAxonalVolume->SetBufferedRegion( m_UpsampledImageRegion ); intraAxonalVolume->SetRequestedRegion( m_UpsampledImageRegion ); intraAxonalVolume->Allocate(); intraAxonalVolume->FillBuffer(0); // generate fiber signal (if there are any fiber models present) if (!m_Parameters.m_FiberModelList.empty()) for( int i=0; iGetCell(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; tempTissueMask->TransformPhysicalPointToIndex(vertex, idx); tempTissueMask->TransformPhysicalPointToContinuousIndex(vertex, contIndex); if (!tempTissueMask->GetLargestPossibleRegion().IsInside(idx) || tempTissueMask->GetPixel(idx)<=0) continue; // generate signal for each fiber compartment for (unsigned int k=0; kSetFiberDirection(dir); DoubleDwiType::PixelType pix = doubleDwi->GetPixel(idx); pix[g] += segmentVolume*m_Parameters.m_FiberModelList[k]->SimulateMeasurement(g); doubleDwi->SetPixel(idx, pix ); double vol = intraAxonalVolume->GetPixel(idx) + segmentVolume; intraAxonalVolume->SetPixel(idx, vol ); if (g==0 && vol>maxVolume) maxVolume = vol; } } ++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(tempTissueMask, tempTissueMask->GetLargestPossibleRegion()); double fact = 1; if (m_Parameters.m_AxonRadius<0.0001) fact = voxelVolume/maxVolume; while(!it3.IsAtEnd()) { if (it3.Get()>0) { DoubleDwiType::IndexType index = it3.GetIndex(); // get fiber volume fraction DoubleDwiType::Pointer fiberDwi = compartments.at(0); DoubleDwiType::PixelType fiberPix = fiberDwi->GetPixel(index); // intra axonal compartment if (fact>1) // auto scale intra-axonal if no fiber radius is specified { fiberPix[g] *= fact; fiberDwi->SetPixel(index, fiberPix); } double f = intraAxonalVolume->GetPixel(index)*fact; if (f>voxelVolume || (f>0.0 && m_Parameters.m_DoDisablePartialVolume) ) // more fiber than space in voxel? { fiberPix[g] *= voxelVolume/f; fiberDwi->SetPixel(index, fiberPix); m_VolumeFractions.at(0)->SetPixel(index, 1); } else { m_VolumeFractions.at(0)->SetPixel(index, f/voxelVolume); double nonf = voxelVolume-f; // non-fiber volume double inter = 0; if (m_Parameters.m_FiberModelList.size()>1) inter = nonf * f/voxelVolume; // inter-axonal fraction of non fiber compartment scales linearly with f double other = nonf - inter; // rest of compartment double singleinter = inter/(m_Parameters.m_FiberModelList.size()-1); // adjust non-fiber and intra-axonal signal for (unsigned int i=1; iGetPixel(index); if (f>0) pix[g] /= f; pix[g] *= singleinter; doubleDwi->SetPixel(index, pix); m_VolumeFractions.at(i)->SetPixel(index, singleinter/voxelVolume); } for (unsigned int i=0; iGetPixel(index); // if (dynamic_cast< mitk::AstroStickModel* >(m_Parameters.m_NonFiberModelList.at(i))) // { // mitk::AstroStickModel* model = dynamic_cast< mitk::AstroStickModel* >(m_Parameters.m_NonFiberModelList.at(i)); // model->SetSeed(8111984); // } pix[g] += m_Parameters.m_NonFiberModelList[i]->SimulateMeasurement(g)*other*m_Parameters.m_NonFiberModelList[i]->GetWeight(); doubleDwi->SetPixel(index, pix); m_VolumeFractions.at(i+m_Parameters.m_FiberModelList.size())->SetPixel(index, other/voxelVolume*m_Parameters.m_NonFiberModelList[i]->GetWeight()); } } } ++it3; } // move fibers if (m_Parameters.m_DoAddMotion) { if (m_Parameters.m_DoRandomizeMotion) { fiberBundleTransformed = fiberBundle->GetDeepCopy(); rotation[0] = m_RandGen->GetVariateWithClosedRange(m_Parameters.m_Rotation[0]*2)-m_Parameters.m_Rotation[0]; rotation[1] = m_RandGen->GetVariateWithClosedRange(m_Parameters.m_Rotation[1]*2)-m_Parameters.m_Rotation[1]; rotation[2] = m_RandGen->GetVariateWithClosedRange(m_Parameters.m_Rotation[2]*2)-m_Parameters.m_Rotation[2]; translation[0] = m_RandGen->GetVariateWithClosedRange(m_Parameters.m_Translation[0]*2)-m_Parameters.m_Translation[0]; translation[1] = m_RandGen->GetVariateWithClosedRange(m_Parameters.m_Translation[1]*2)-m_Parameters.m_Translation[1]; translation[2] = m_RandGen->GetVariateWithClosedRange(m_Parameters.m_Translation[2]*2)-m_Parameters.m_Translation[2]; } // rotate mask image if (maskImageSet) { ImageRegionIterator maskIt(upsampledTissueMask, upsampledTissueMask->GetLargestPossibleRegion()); tempTissueMask->FillBuffer(0); while(!maskIt.IsAtEnd()) { if (maskIt.Get()<=0) { ++maskIt; continue; } DoubleDwiType::IndexType index = maskIt.GetIndex(); itk::Point point; upsampledTissueMask->TransformIndexToPhysicalPoint(index, point); if (m_Parameters.m_DoRandomizeMotion) point = fiberBundle->TransformPoint(point.GetVnlVector(), rotation[0],rotation[1],rotation[2],translation[0],translation[1],translation[2]); else point = fiberBundle->TransformPoint(point.GetVnlVector(), rotation[0]*(g+1),rotation[1]*(g+1),rotation[2]*(g+1),translation[0]*(g+1),translation[1]*(g+1),translation[2]*(g+1)); tempTissueMask->TransformPhysicalPointToIndex(point, index); if (tempTissueMask->GetLargestPossibleRegion().IsInside(index)) tempTissueMask->SetPixel(index,100); ++maskIt; } } // rotate fibers logFile << g+1 << " rotation:" << rotation[0] << "," << rotation[1] << "," << rotation[2] << ";"; logFile << " translation:" << translation[0] << "," << translation[1] << "," << translation[2] << "\n"; fiberBundleTransformed->TransformFibers(rotation[0],rotation[1],rotation[2],translation[0],translation[1],translation[2]); } } logFile.close(); m_StatusText += "\n\n"; if (this->GetAbortGenerateData()) { m_StatusText += "\n"+this->GetTime()+" > Simulation aborted\n"; return; } // do k-space stuff DoubleDwiType::Pointer doubleOutImage; - if (m_Parameters.m_Spikes>0 || m_Parameters.m_FrequencyMap.IsNotNull() || m_Parameters.m_KspaceLineOffset>0 || m_Parameters.m_DoSimulateRelaxation || m_Parameters.m_EddyStrength>0 || m_Parameters.m_DoAddGibbsRinging || m_Parameters.m_Wrap<1.0) + if (m_Parameters.m_Spikes>0 || m_Parameters.m_FrequencyMap.IsNotNull() || m_Parameters.m_KspaceLineOffset>0 || m_Parameters.m_DoSimulateRelaxation || m_Parameters.m_EddyStrength>0 || m_Parameters.m_DoAddGibbsRinging || m_Parameters.m_CroppingFactor<1.0) { m_StatusText += this->GetTime()+" > Adjusting complex signal\n"; MITK_INFO << "Adjusting complex signal:"; if (m_Parameters.m_DoSimulateRelaxation) m_StatusText += "Simulating signal relaxation\n"; if (m_Parameters.m_FrequencyMap.IsNotNull()) m_StatusText += "Simulating distortions\n"; if (m_Parameters.m_DoAddGibbsRinging) m_StatusText += "Simulating ringing artifacts\n"; if (m_Parameters.m_EddyStrength>0) m_StatusText += "Simulating eddy currents\n"; if (m_Parameters.m_Spikes>0) m_StatusText += "Simulating spikes\n"; - if (m_Parameters.m_Wrap<1.0) + if (m_Parameters.m_CroppingFactor<1.0) m_StatusText += "Simulating aliasing artifacts\n"; if (m_Parameters.m_KspaceLineOffset>0) m_StatusText += "Simulating ghosts\n"; doubleOutImage = DoKspaceStuff(compartments); m_Parameters.m_SignalScale = 1; } else { m_StatusText += this->GetTime()+" > Summing compartments\n"; MITK_INFO << "Summing compartments"; doubleOutImage = compartments.at(0); for (unsigned int i=1; i::Pointer adder = itk::AddImageFilter< DoubleDwiType, DoubleDwiType, DoubleDwiType>::New(); adder->SetInput1(doubleOutImage); adder->SetInput2(compartments.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 (m_Parameters.m_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 (outImage, outImage->GetLargestPossibleRegion()); DoubleDwiType::PixelType signal; signal.SetSize(m_Parameters.GetNumVolumes()); boost::progress_display disp2(outImage->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 (int tick = 0; tick<(newTick-lastTick); tick++) m_StatusText += "*"; lastTick = newTick; typename OutputImageType::IndexType index = it4.GetIndex(); signal = doubleOutImage->GetPixel(index)*m_Parameters.m_SignalScale; if (m_Parameters.m_NoiseModel!=NULL) { DoubleDwiType::PixelType accu = signal; accu.Fill(0.0); for (unsigned int i=0; iAddNoise(temp); accu += temp; } signal = accu/m_Parameters.m_Repetitions; } for (unsigned int i=0; i0) signal[i] = floor(signal[i]+0.5); else signal[i] = ceil(signal[i]-0.5); if (!m_Parameters.IsBaselineIndex(i) && signal[i]>window) window = signal[i]; if (!m_Parameters.IsBaselineIndex(i) && signal[i]SetNthOutput(0, outImage); m_StatusText += "\n\n"; m_StatusText += "Finished simulation\n"; m_StatusText += "Simulation time: "+GetTime(); } 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 > std::string TractsToDWIImageFilter< PixelType >::GetTime() { unsigned long total = (double)(clock() - m_StartTime)/CLOCKS_PER_SEC; 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)); return out; } } diff --git a/Modules/DiffusionImaging/FiberTracking/IODataStructures/mitkFiberfoxParameters.cpp b/Modules/DiffusionImaging/FiberTracking/IODataStructures/mitkFiberfoxParameters.cpp index 240242320c..3314f2fc3c 100644 --- a/Modules/DiffusionImaging/FiberTracking/IODataStructures/mitkFiberfoxParameters.cpp +++ b/Modules/DiffusionImaging/FiberTracking/IODataStructures/mitkFiberfoxParameters.cpp @@ -1,450 +1,450 @@ /*=================================================================== 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 #include #include #include "mitkFiberfoxParameters.h" #include #include #include #include #include template< class ScalarType > mitk::FiberfoxParameters< ScalarType >::FiberfoxParameters() : m_DoAddGibbsRinging(false) , m_ArtifactModelString("") , m_AxonRadius(0) , m_Bvalue(1000) , m_DoAddMotion(false) , m_DoDisablePartialVolume(false) , m_DoSimulateRelaxation(true) , m_EddyStrength(0) , m_KspaceLineOffset(0) , m_NumGradients(6) , m_NumBaseline(1) , m_OutputPath("") , m_DoRandomizeMotion(true) , m_Repetitions(1) , m_SignalModelString("") , m_SignalScale(100) , m_SpikeAmplitude(1) , m_Spikes(0) , m_tEcho(100) , m_tInhom(50) , m_tLine(1) - , m_Wrap(1) + , m_CroppingFactor(1) , m_MaskImage(NULL) , m_FrequencyMap(NULL) , m_NoiseModel(NULL) { m_ImageDirection.SetIdentity(); m_ImageOrigin.Fill(0.0); m_ImageRegion.SetSize(0, 11); m_ImageRegion.SetSize(1, 11); m_ImageRegion.SetSize(2, 3); m_ImageSpacing.Fill(2.0); m_Translation.Fill(0.0); m_Rotation.Fill(0.0); m_ResultNode = mitk::DataNode::New(); m_ParentNode = NULL; GenerateGradientHalfShell(); } template< class ScalarType > mitk::FiberfoxParameters< ScalarType >::~FiberfoxParameters() { // if (m_NoiseModel!=NULL) // delete m_NoiseModel; } template< class ScalarType > void mitk::FiberfoxParameters< ScalarType >::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 std::vector< int > mitk::FiberfoxParameters< ScalarType >::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; } template< class ScalarType > unsigned int mitk::FiberfoxParameters< ScalarType >::GetFirstBaselineIndex() { for( unsigned int i=0; im_GradientDirections.size(); i++) if (m_GradientDirections.at(i).GetNorm()<0.0001) return i; return -1; } template< class ScalarType > bool mitk::FiberfoxParameters< ScalarType >::IsBaselineIndex(unsigned int idx) { if (m_GradientDirections.size()>idx && m_GradientDirections.at(idx).GetNorm()<0.0001) return true; return false; } template< class ScalarType > unsigned int mitk::FiberfoxParameters< ScalarType >::GetNumWeightedVolumes() { return m_NumGradients; } template< class ScalarType > unsigned int mitk::FiberfoxParameters< ScalarType >::GetNumBaselineVolumes() { return m_NumBaseline; } template< class ScalarType > unsigned int mitk::FiberfoxParameters< ScalarType >::GetNumVolumes() { return m_GradientDirections.size(); } template< class ScalarType > typename mitk::FiberfoxParameters< ScalarType >::GradientListType mitk::FiberfoxParameters< ScalarType >::GetGradientDirections() { return m_GradientDirections; } template< class ScalarType > typename mitk::FiberfoxParameters< ScalarType >::GradientType mitk::FiberfoxParameters< ScalarType >::GetGradientDirection(unsigned int i) { if (i void mitk::FiberfoxParameters< ScalarType >::SetNumWeightedGradients(int numGradients) { m_NumGradients = numGradients; GenerateGradientHalfShell(); } template< class ScalarType > void mitk::FiberfoxParameters< ScalarType >::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++; } } template< class ScalarType > void mitk::FiberfoxParameters< ScalarType >::SetGradienDirections(mitk::DiffusionImage::GradientDirectionContainerType::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 >::LoadParameters(string filename) { boost::property_tree::ptree parameters; boost::property_tree::xml_parser::read_xml(filename, parameters); m_FiberModelList.clear(); m_NonFiberModelList.clear(); if (m_NoiseModel!=NULL) delete m_NoiseModel; BOOST_FOREACH( boost::property_tree::ptree::value_type const& v1, parameters.get_child("fiberfox") ) { if( v1.first == "image" ) { m_ImageRegion.SetSize(0, v1.second.get("basic.size.x")); m_ImageRegion.SetSize(1, v1.second.get("basic.size.y")); m_ImageRegion.SetSize(2, v1.second.get("basic.size.z")); m_ImageSpacing[0] = v1.second.get("basic.spacing.x"); m_ImageSpacing[1] = v1.second.get("basic.spacing.y"); m_ImageSpacing[2] = v1.second.get("basic.spacing.z"); m_NumGradients = v1.second.get("basic.numgradients"); GenerateGradientHalfShell(); m_Bvalue = v1.second.get("basic.bvalue"); m_Repetitions = v1.second.get("repetitions"); m_SignalScale = v1.second.get("signalScale"); m_tEcho = v1.second.get("tEcho"); m_tLine = v1.second.get("tLine"); m_tInhom = v1.second.get("tInhom"); m_AxonRadius = v1.second.get("axonRadius"); m_DoSimulateRelaxation = v1.second.get("doSimulateRelaxation"); m_DoDisablePartialVolume = v1.second.get("doDisablePartialVolume"); if (v1.second.get("artifacts.addnoise")) { switch (v1.second.get("artifacts.noisedistribution")) { case 0: m_NoiseModel = new mitk::RicianNoiseModel< ScalarType >(); break; case 1: m_NoiseModel = new mitk::ChiSquareNoiseModel< ScalarType >(); break; default: m_NoiseModel = new mitk::RicianNoiseModel< ScalarType >(); } m_NoiseModel->SetNoiseVariance(v1.second.get("artifacts.noisevariance")); } m_KspaceLineOffset = v1.second.get("artifacts.m_KspaceLineOffset"); - m_Wrap = (100-v1.second.get("artifacts.aliasingfactor"))/100; + m_CroppingFactor = (100-v1.second.get("artifacts.aliasingfactor"))/100; m_Spikes = v1.second.get("artifacts.m_Spikesnum"); m_SpikeAmplitude = v1.second.get("artifacts.m_Spikesscale"); m_EddyStrength = v1.second.get("artifacts.m_EddyStrength"); m_DoAddGibbsRinging = v1.second.get("artifacts.addringing"); m_DoAddMotion = v1.second.get("artifacts.m_DoAddMotion"); m_DoRandomizeMotion = v1.second.get("artifacts.m_RandomMotion"); m_Translation[0] = v1.second.get("artifacts.m_Translation0"); m_Translation[1] = v1.second.get("artifacts.m_Translation1"); m_Translation[2] = v1.second.get("artifacts.m_Translation2"); m_Rotation[0] = v1.second.get("artifacts.m_Rotation0"); m_Rotation[1] = v1.second.get("artifacts.m_Rotation1"); m_Rotation[2] = v1.second.get("artifacts.m_Rotation2"); // compartment 1 switch (v1.second.get("compartment1.index")) { case 0: mitk::StickModel* stickModel = new mitk::StickModel(); stickModel->SetGradientList(m_GradientDirections); stickModel->SetBvalue(m_Bvalue); stickModel->SetDiffusivity(v1.second.get("compartment1.stick.d")); stickModel->SetT2(v1.second.get("compartment1.stick.t2")); m_FiberModelList.push_back(stickModel); break; case 1: mitk::TensorModel* zeppelinModel = new mitk::TensorModel(); zeppelinModel->SetGradientList(m_GradientDirections); zeppelinModel->SetBvalue(m_Bvalue); zeppelinModel->SetDiffusivity1(v1.second.get("compartment1.zeppelin.d1")); zeppelinModel->SetDiffusivity2(v1.second.get("compartment1.zeppelin.d2")); zeppelinModel->SetDiffusivity3(v1.second.get("compartment1.zeppelin.d2")); zeppelinModel->SetT2(v1.second.get("compartment1.zeppelin.t2")); m_FiberModelList.push_back(zeppelinModel); break; case 2: mitk::TensorModel* tensorModel = new mitk::TensorModel(); tensorModel->SetGradientList(m_GradientDirections); tensorModel->SetBvalue(m_Bvalue); tensorModel->SetDiffusivity1(v1.second.get("compartment1.tensor.d1")); tensorModel->SetDiffusivity2(v1.second.get("compartment1.tensor.d2")); tensorModel->SetDiffusivity3(v1.second.get("compartment1.tensor.d3")); tensorModel->SetT2(v1.second.get("compartment1.tensor.t2")); m_FiberModelList.push_back(tensorModel); break; } // compartment 2 switch (v1.second.get("compartment2.index")) { case 0: mitk::StickModel* stickModel = new mitk::StickModel(); stickModel->SetGradientList(m_GradientDirections); stickModel->SetBvalue(m_Bvalue); stickModel->SetDiffusivity(v1.second.get("compartment2.stick.d")); stickModel->SetT2(v1.second.get("compartment2.stick.t2")); m_FiberModelList.push_back(stickModel); break; case 1: mitk::TensorModel* zeppelinModel = new mitk::TensorModel(); zeppelinModel->SetGradientList(m_GradientDirections); zeppelinModel->SetBvalue(m_Bvalue); zeppelinModel->SetDiffusivity1(v1.second.get("compartment2.zeppelin.d1")); zeppelinModel->SetDiffusivity2(v1.second.get("compartment2.zeppelin.d2")); zeppelinModel->SetDiffusivity3(v1.second.get("compartment2.zeppelin.d2")); zeppelinModel->SetT2(v1.second.get("compartment2.zeppelin.t2")); m_FiberModelList.push_back(zeppelinModel); break; case 2: mitk::TensorModel* tensorModel = new mitk::TensorModel(); tensorModel->SetGradientList(m_GradientDirections); tensorModel->SetBvalue(m_Bvalue); tensorModel->SetDiffusivity1(v1.second.get("compartment2.tensor.d1")); tensorModel->SetDiffusivity2(v1.second.get("compartment2.tensor.d2")); tensorModel->SetDiffusivity3(v1.second.get("compartment2.tensor.d3")); tensorModel->SetT2(v1.second.get("compartment2.tensor.t2")); m_FiberModelList.push_back(tensorModel); break; } // compartment 3 switch (v1.second.get("compartment3.index")) { case 0: mitk::BallModel* ballModel = new mitk::BallModel(); ballModel->SetGradientList(m_GradientDirections); ballModel->SetBvalue(m_Bvalue); ballModel->SetDiffusivity(v1.second.get("compartment3.ball.d")); ballModel->SetT2(v1.second.get("compartment3.ball.t2")); ballModel->SetWeight(v1.second.get("compartment3.weight")); m_NonFiberModelList.push_back(ballModel); break; case 1: mitk::AstroStickModel* astrosticksModel = new mitk::AstroStickModel(); astrosticksModel->SetGradientList(m_GradientDirections); astrosticksModel->SetBvalue(m_Bvalue); astrosticksModel->SetDiffusivity(v1.second.get("compartment3.astrosticks.d")); astrosticksModel->SetT2(v1.second.get("compartment3.astrosticks.t2")); astrosticksModel->SetRandomizeSticks(v1.second.get("compartment3.astrosticks.randomize")); astrosticksModel->SetWeight(v1.second.get("compartment3.weight")); m_NonFiberModelList.push_back(astrosticksModel); break; case 2: mitk::DotModel* dotModel = new mitk::DotModel(); dotModel->SetGradientList(m_GradientDirections); dotModel->SetT2(v1.second.get("compartment3.dot.t2")); dotModel->SetWeight(v1.second.get("compartment3.weight")); m_NonFiberModelList.push_back(dotModel); break; } // compartment 4 switch (v1.second.get("compartment4.index")) { case 0: mitk::BallModel* ballModel = new mitk::BallModel(); ballModel->SetGradientList(m_GradientDirections); ballModel->SetBvalue(m_Bvalue); ballModel->SetDiffusivity(v1.second.get("compartment4.ball.d")); ballModel->SetT2(v1.second.get("compartment4.ball.t2")); ballModel->SetWeight(v1.second.get("compartment4.weight")); m_NonFiberModelList.push_back(ballModel); break; case 1: mitk::AstroStickModel* astrosticksModel = new mitk::AstroStickModel(); astrosticksModel->SetGradientList(m_GradientDirections); astrosticksModel->SetBvalue(m_Bvalue); astrosticksModel->SetDiffusivity(v1.second.get("compartment4.astrosticks.d")); astrosticksModel->SetT2(v1.second.get("compartment4.astrosticks.t2")); astrosticksModel->SetRandomizeSticks(v1.second.get("compartment4.astrosticks.randomize")); astrosticksModel->SetWeight(v1.second.get("compartment4.weight")); m_NonFiberModelList.push_back(astrosticksModel); break; case 2: mitk::DotModel* dotModel = new mitk::DotModel(); dotModel->SetGradientList(m_GradientDirections); dotModel->SetT2(v1.second.get("compartment4.dot.t2")); dotModel->SetWeight(v1.second.get("compartment4.weight")); m_NonFiberModelList.push_back(dotModel); break; } } } } template< class ScalarType > void mitk::FiberfoxParameters< ScalarType >::PrintSelf() { MITK_INFO << "m_ImageRegion: " << m_ImageRegion; MITK_INFO << "m_ImageSpacing: " << m_ImageSpacing; MITK_INFO << "m_ImageOrigin: " << m_ImageOrigin; MITK_INFO << "m_ImageDirection: " << m_ImageDirection; MITK_INFO << "m_NumGradients: " << m_NumGradients; MITK_INFO << "m_Bvalue: " << m_Bvalue; MITK_INFO << "m_Repetitions: " << m_Repetitions; MITK_INFO << "m_SignalScale: " << m_SignalScale; MITK_INFO << "m_tEcho: " << m_tEcho; MITK_INFO << "m_tLine: " << m_tLine; MITK_INFO << "m_tInhom: " << m_tInhom; MITK_INFO << "m_AxonRadius: " << m_AxonRadius; MITK_INFO << "m_KspaceLineOffset: " << m_KspaceLineOffset; MITK_INFO << "m_AddGibbsRinging: " << m_DoAddGibbsRinging; MITK_INFO << "m_EddyStrength: " << m_EddyStrength; MITK_INFO << "m_Spikes: " << m_Spikes; MITK_INFO << "m_SpikeAmplitude: " << m_SpikeAmplitude; - MITK_INFO << "m_Wrap: " << m_Wrap; + MITK_INFO << "m_Wrap: " << m_CroppingFactor; MITK_INFO << "m_DoSimulateRelaxation: " << m_DoSimulateRelaxation; MITK_INFO << "m_DoDisablePartialVolume: " << m_DoDisablePartialVolume; MITK_INFO << "m_DoAddMotion: " << m_DoAddMotion; MITK_INFO << "m_RandomMotion: " << m_DoRandomizeMotion; MITK_INFO << "m_Translation: " << m_Translation; MITK_INFO << "m_Rotation: " << m_Rotation; MITK_INFO << "m_SignalModelString: " << m_SignalModelString; MITK_INFO << "m_ArtifactModelString: " << m_ArtifactModelString; MITK_INFO << "m_OutputPath: " << m_OutputPath; } diff --git a/Modules/DiffusionImaging/FiberTracking/IODataStructures/mitkFiberfoxParameters.h b/Modules/DiffusionImaging/FiberTracking/IODataStructures/mitkFiberfoxParameters.h index 4fd5029bbb..6986f45286 100644 --- a/Modules/DiffusionImaging/FiberTracking/IODataStructures/mitkFiberfoxParameters.h +++ b/Modules/DiffusionImaging/FiberTracking/IODataStructures/mitkFiberfoxParameters.h @@ -1,175 +1,175 @@ /*=================================================================== 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 using namespace std; namespace mitk { /** * \brief Datastructure to manage the Fiberfox signal generation parameters. * */ template< class ScalarType > class FiberfoxParameters { public: typedef itk::Image ItkDoubleImgType; typedef itk::Image ItkUcharImgType; typedef std::vector< DiffusionSignalModel* > DiffusionModelListType; typedef DiffusionSignalModel::GradientListType GradientListType; typedef DiffusionSignalModel::GradientType GradientType; typedef DiffusionNoiseModel NoiseModelType; typedef DiffusionSignalModel* DiffusionModelType; FiberfoxParameters(); ~FiberfoxParameters(); /** Get same parameter object with different template parameter */ template< class OutType > FiberfoxParameters< OutType > CopyParameters() { FiberfoxParameters< OutType > out; out.m_ImageRegion = m_ImageRegion; out.m_ImageSpacing = m_ImageSpacing; out.m_ImageOrigin = m_ImageOrigin; out.m_ImageDirection = m_ImageDirection; out.SetNumWeightedGradients(m_NumGradients); out.m_Bvalue = m_Bvalue; out.m_Repetitions = m_Repetitions; out.m_SignalScale = m_SignalScale; out.m_tEcho = m_tEcho; out.m_tLine = m_tLine; out.m_tInhom = m_tInhom; out.m_AxonRadius = m_AxonRadius; out.m_KspaceLineOffset = m_KspaceLineOffset; out.m_DoAddGibbsRinging = m_DoAddGibbsRinging; out.m_EddyStrength = m_EddyStrength; out.m_Spikes = m_Spikes; out.m_SpikeAmplitude = m_SpikeAmplitude; - out.m_Wrap = m_Wrap; + out.m_CroppingFactor = m_CroppingFactor; out.m_DoSimulateRelaxation = m_DoSimulateRelaxation; out.m_DoDisablePartialVolume = m_DoDisablePartialVolume; out.m_DoAddMotion = m_DoAddMotion; out.m_DoRandomizeMotion = m_DoRandomizeMotion; out.m_Translation = m_Translation; out.m_Rotation = m_Rotation; 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()); } out.m_FrequencyMap = m_FrequencyMap; out.m_MaskImage = m_MaskImage; out.m_ResultNode = m_ResultNode; out.m_ParentNode = m_ParentNode; out.m_SignalModelString = m_SignalModelString; out.m_ArtifactModelString = m_ArtifactModelString; out.m_OutputPath = m_OutputPath; return out; } /** Output image specifications */ 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 */ unsigned int m_Repetitions; ///< Noise will be summed N times and afterwards averaged. double m_SignalScale; ///< Scaling factor for output signal (before noise is added). double m_tEcho; ///< Echo time TE. double m_tLine; ///< k-space line readout time. double m_tInhom; ///< T2' double m_Bvalue; /** Signal generation */ DiffusionModelListType m_FiberModelList; ///< Intra- and inter-axonal compartments. DiffusionModelListType m_NonFiberModelList; ///< Extra-axonal compartments. double m_AxonRadius; ///< Determines compartment volume fractions (0 == automatic axon radius estimation) /** Artifacts */ 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 T/m. - double m_Wrap; ///< FOV size in y-direction is multiplied by this factor. Causes aliasing artifacts. + 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_DoDisablePartialVolume; ///< Disable partial volume effects. Each voxel is either all fiber or all non-fiber. bool m_DoAddMotion; ///< Enable motion artifacts. bool m_DoRandomizeMotion; ///< Toggles between random and linear motion. itk::Vector m_Translation; ///< Maximum translational motion. itk::Vector m_Rotation; ///< Maximum rotational motion. NoiseModelType* m_NoiseModel; ///< If != NULL, noise is added to the image. 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. /** Output parameters (only relevant in GUI application) */ mitk::DataNode::Pointer m_ResultNode; ///< Stores resulting image. mitk::DataNode::Pointer m_ParentNode; ///< Parent node or 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. void PrintSelf(); ///< Print parameters to stdout. void LoadParameters(string filename); ///< Load image generation parameters from .ffp file. void GenerateGradientHalfShell(); ///< Generates half shell of gradient directions (with m_NumGradients non-zero directions) std::vector< int > GetBaselineIndices(); unsigned int GetFirstBaselineIndex(); bool IsBaselineIndex(unsigned int idx); unsigned int GetNumWeightedVolumes(); unsigned int GetNumBaselineVolumes(); unsigned int GetNumVolumes(); GradientListType GetGradientDirections(); GradientType GetGradientDirection(unsigned int i); void SetNumWeightedGradients(int numGradients); ///< Automaticall calls GenerateGradientHalfShell() afterwards. void SetGradienDirections(GradientListType gradientList); void SetGradienDirections(mitk::DiffusionImage::GradientDirectionContainerType::Pointer gradientList); protected: unsigned int m_NumBaseline; ///< Number of non-diffusion-weighted image volumes. unsigned int m_NumGradients; ///< Number of diffusion-weighted image volumes. GradientListType m_GradientDirections; ///< Total number of image volumes. }; } #include "mitkFiberfoxParameters.cpp" #endif diff --git a/Modules/DiffusionImaging/FiberTracking/SignalModels/mitkAstroStickModel.cpp b/Modules/DiffusionImaging/FiberTracking/SignalModels/mitkAstroStickModel.cpp index bc8b240567..2b48d63214 100644 --- a/Modules/DiffusionImaging/FiberTracking/SignalModels/mitkAstroStickModel.cpp +++ b/Modules/DiffusionImaging/FiberTracking/SignalModels/mitkAstroStickModel.cpp @@ -1,132 +1,132 @@ /*=================================================================== 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 #include #include using namespace mitk; template< class ScalarType > AstroStickModel< ScalarType >::AstroStickModel() : m_Diffusivity(0.001) , m_BValue(1000) , m_NumSticks(42) , m_RandomizeSticks(false) { m_RandGen = ItkRandGenType::New(); vnl_matrix_fixed* sticks = itk::PointShell<42, vnl_matrix_fixed >::DistributePointShell(); for (unsigned int i=0; iget(0,i); stick[1] = sticks->get(1,i); stick[2] = sticks->get(2,i); stick.Normalize(); m_Sticks.push_back(stick); } } template< class ScalarType > AstroStickModel< ScalarType >::~AstroStickModel() { } template< class ScalarType > void AstroStickModel< ScalarType >::SetSeed(int s) { m_RandGen->SetSeed(s); } template< class ScalarType > ScalarType AstroStickModel< ScalarType >::SimulateMeasurement(int dir) { ScalarType signal = 0; if (dir>=this->m_GradientList.size()) return signal; ScalarType b = -m_BValue*m_Diffusivity; - if (m_RandomizeSticks) + if (m_RandomizeSticks) // random number of sticks m_NumSticks = 30 + m_RandGen->GetIntegerVariate()%31; GradientType g = this->m_GradientList[dir]; ScalarType bVal = g.GetNorm(); bVal *= bVal; - if (bVal>0.0001) + if (bVal>0.0001) // is weighted direction { for (int j=0; j typename AstroStickModel< ScalarType >::GradientType AstroStickModel< ScalarType >::GetRandomDirection() { GradientType vec; vec[0] = m_RandGen->GetNormalVariate(); vec[1] = m_RandGen->GetNormalVariate(); vec[2] = m_RandGen->GetNormalVariate(); vec.Normalize(); return vec; } template< class ScalarType > typename AstroStickModel< ScalarType >::PixelType AstroStickModel< ScalarType >::SimulateMeasurement() { PixelType signal; signal.SetSize(this->m_GradientList.size()); ScalarType b = -m_BValue*m_Diffusivity; if (m_RandomizeSticks) m_NumSticks = 30 + m_RandGen->GetIntegerVariate()%31; for( unsigned int i=0; im_GradientList.size(); i++) { GradientType g = this->m_GradientList[i]; ScalarType bVal = g.GetNorm(); bVal *= bVal; if (bVal>0.0001) { for (int j=0; j #include namespace mitk { /** - * \brief Generates the diffusion signal using an idealised cylinder with zero radius: e^(-bd(ng)²) + * \brief Generates the diffusion signal using a collection of idealised cylinder with zero radius: e^(-bd(ng)²) * */ template< class ScalarType > class AstroStickModel : public DiffusionSignalModel< ScalarType > { public: AstroStickModel(); ~AstroStickModel(); typedef typename DiffusionSignalModel< ScalarType >::PixelType PixelType; typedef typename DiffusionSignalModel< ScalarType >::GradientType GradientType; typedef typename DiffusionSignalModel< ScalarType >::GradientListType GradientListType; typedef itk::Statistics::MersenneTwisterRandomVariateGenerator ItkRandGenType; /** Actual signal generation **/ PixelType SimulateMeasurement(); ScalarType SimulateMeasurement(int dir); void SetSeed(int s); ///< set seed for random generator that creates the stick orientations - void SetRandomizeSticks(bool randomize=true){ m_RandomizeSticks=randomize; } + void SetRandomizeSticks(bool randomize=true){ m_RandomizeSticks=randomize; } ///< Random stick configuration in each voxel void SetBvalue(ScalarType bValue) { m_BValue = bValue; } ///< b-value used to generate the artificial signal void SetDiffusivity(ScalarType diffusivity) { m_Diffusivity = diffusivity; } ///< Scalar diffusion constant void SetNumSticks(unsigned int order) { vnl_matrix sticks; switch (order) { case 1: m_NumSticks = 12; sticks = itk::PointShell<12, vnl_matrix_fixed >::DistributePointShell()->as_matrix(); break; case 2: m_NumSticks = 42; sticks = itk::PointShell<42, vnl_matrix_fixed >::DistributePointShell()->as_matrix(); break; case 3: m_NumSticks = 92; sticks = itk::PointShell<92, vnl_matrix_fixed >::DistributePointShell()->as_matrix(); break; case 4: m_NumSticks = 162; sticks = itk::PointShell<162, vnl_matrix_fixed >::DistributePointShell()->as_matrix(); break; case 5: m_NumSticks = 252; sticks = itk::PointShell<252, vnl_matrix_fixed >::DistributePointShell()->as_matrix(); break; default: m_NumSticks = 42; sticks = itk::PointShell<42, vnl_matrix_fixed >::DistributePointShell()->as_matrix(); break; } for (int i=0; i #include namespace mitk { /** - * \brief Implementation of noise following a rician distribution + * \brief Implementation of noise following a chi-squared distribution * */ template< class ScalarType > class ChiSquareNoiseModel : public DiffusionNoiseModel< ScalarType > { public: ChiSquareNoiseModel(); ~ChiSquareNoiseModel(); typedef typename DiffusionNoiseModel< ScalarType >::PixelType PixelType; /** Adds rician noise to the input pixel **/ void AddNoise(PixelType& pixel); void SetNoiseVariance(double var){ m_Distribution = boost::random::chi_squared_distribution(var/2); } double GetNoiseVariance(){ return m_Distribution.n()*2; } - void SetSeed(int seed); + void SetSeed(int seed); ///< seed for random number generator protected: boost::random::mt19937 m_RandGen; boost::random::chi_squared_distribution m_Distribution; }; } #include "mitkChiSquareNoiseModel.cpp" #endif diff --git a/Modules/DiffusionImaging/FiberTracking/SignalModels/mitkDiffusionNoiseModel.h b/Modules/DiffusionImaging/FiberTracking/SignalModels/mitkDiffusionNoiseModel.h index d23efcbf17..0e1930501d 100644 --- a/Modules/DiffusionImaging/FiberTracking/SignalModels/mitkDiffusionNoiseModel.h +++ b/Modules/DiffusionImaging/FiberTracking/SignalModels/mitkDiffusionNoiseModel.h @@ -1,59 +1,59 @@ /*=================================================================== 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_DiffusionNoiseModel_H #define _MITK_DiffusionNoiseModel_H #include #include #include #include #include namespace mitk { /** * \brief Abstract class for diffusion noise models * */ template< class ScalarType > class DiffusionNoiseModel { public: DiffusionNoiseModel(){} ~DiffusionNoiseModel(){} typedef itk::VariableLengthVector< ScalarType > PixelType; /** Adds noise according to model to the input pixel. Has to be implemented in subclass. **/ virtual void AddNoise(PixelType& pixel) = 0; - /** Seed random generator. Has to be implemented in subclass. **/ + /** Seed for random generator. Has to be implemented in subclass. **/ virtual void SetSeed(int seed) = 0; virtual double GetNoiseVariance() = 0; virtual void SetNoiseVariance(double var) = 0; protected: }; } #endif diff --git a/Modules/DiffusionImaging/FiberTracking/SignalModels/mitkDotModel.h b/Modules/DiffusionImaging/FiberTracking/SignalModels/mitkDotModel.h index 7b05c51f60..e818085eab 100644 --- a/Modules/DiffusionImaging/FiberTracking/SignalModels/mitkDotModel.h +++ b/Modules/DiffusionImaging/FiberTracking/SignalModels/mitkDotModel.h @@ -1,53 +1,53 @@ /*=================================================================== 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_DotModel_H #define _MITK_DotModel_H #include namespace mitk { /** - * \brief Generates direction independent diffusion measurement employing a scalar diffusion constant d: e^(-bd) + * \brief Generates constant direction independent signal. * */ template< class ScalarType > class DotModel : public DiffusionSignalModel< ScalarType > { public: DotModel(); ~DotModel(); typedef typename DiffusionSignalModel< ScalarType >::PixelType PixelType; typedef typename DiffusionSignalModel< ScalarType >::GradientType GradientType; /** Actual signal generation **/ PixelType SimulateMeasurement(); ScalarType SimulateMeasurement(int dir); protected: }; } #include "mitkDotModel.cpp" #endif diff --git a/Modules/DiffusionImaging/FiberTracking/SignalModels/mitkRicianNoiseModel.h b/Modules/DiffusionImaging/FiberTracking/SignalModels/mitkRicianNoiseModel.h index 694a0ca269..ee4e4f90f2 100644 --- a/Modules/DiffusionImaging/FiberTracking/SignalModels/mitkRicianNoiseModel.h +++ b/Modules/DiffusionImaging/FiberTracking/SignalModels/mitkRicianNoiseModel.h @@ -1,59 +1,59 @@ /*=================================================================== 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_RicianNoiseModel_H #define _MITK_RicianNoiseModel_H #include #include namespace mitk { /** * \brief Implementation of noise following a rician distribution * */ template< class ScalarType > class RicianNoiseModel : public DiffusionNoiseModel< ScalarType > { public: RicianNoiseModel(); ~RicianNoiseModel(); typedef typename DiffusionNoiseModel< ScalarType >::PixelType PixelType; /** Adds rician noise to the input pixel **/ void AddNoise(PixelType& pixel); void SetNoiseVariance(double var){ m_NoiseVariance = var; } double GetNoiseVariance(){ return m_NoiseVariance; } - void SetSeed(int seed); + void SetSeed(int seed); ///< Set seed for random number generator protected: itk::Statistics::MersenneTwisterRandomVariateGenerator::Pointer m_RandGen; double m_NoiseVariance; ///< variance of underlying distribution }; } #include "mitkRicianNoiseModel.cpp" #endif diff --git a/Modules/DiffusionImaging/FiberTracking/Testing/mitkFiberfoxAddArtifactsToDwiTest.cpp b/Modules/DiffusionImaging/FiberTracking/Testing/mitkFiberfoxAddArtifactsToDwiTest.cpp index cafa23bcfb..44a19dab9f 100644 --- a/Modules/DiffusionImaging/FiberTracking/Testing/mitkFiberfoxAddArtifactsToDwiTest.cpp +++ b/Modules/DiffusionImaging/FiberTracking/Testing/mitkFiberfoxAddArtifactsToDwiTest.cpp @@ -1,193 +1,193 @@ /*=================================================================== 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 #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include /**Documentation * Test the Fiberfox simulation functions (diffusion weighted image -> diffusion weighted image) */ class mitkFiberfoxAddArtifactsToDwiTestSuite : public mitk::TestFixture { CPPUNIT_TEST_SUITE(mitkFiberfoxAddArtifactsToDwiTestSuite); MITK_TEST(Spikes); MITK_TEST(GibbsRinging); MITK_TEST(Ghost); MITK_TEST(Aliasing); MITK_TEST(Eddy); MITK_TEST(RicianNoise); MITK_TEST(ChiSquareNoise); MITK_TEST(Distortions); CPPUNIT_TEST_SUITE_END(); private: mitk::DiffusionImage::Pointer m_InputDwi; FiberfoxParameters m_Parameters; public: void setUp() { RegisterDiffusionCoreObjectFactory(); // reference files m_InputDwi = dynamic_cast*>(mitk::IOUtil::LoadDataNode(GetTestDataFilePath("DiffusionImaging/Fiberfox/StickBall_RELAX.dwi"))->GetData()); // parameter setup m_Parameters = FiberfoxParameters(); m_Parameters.m_ImageRegion = m_InputDwi->GetVectorImage()->GetLargestPossibleRegion(); m_Parameters.m_ImageSpacing = m_InputDwi->GetVectorImage()->GetSpacing(); m_Parameters.m_ImageOrigin = m_InputDwi->GetVectorImage()->GetOrigin(); m_Parameters.m_ImageDirection = m_InputDwi->GetVectorImage()->GetDirection(); m_Parameters.m_Bvalue = m_InputDwi->GetB_Value(); m_Parameters.SetGradienDirections(m_InputDwi->GetDirections()); } bool CompareDwi(itk::VectorImage< short, 3 >* dwi1, itk::VectorImage< short, 3 >* dwi2) { typedef itk::VectorImage< short, 3 > DwiImageType; try{ itk::ImageRegionIterator< DwiImageType > it1(dwi1, dwi1->GetLargestPossibleRegion()); itk::ImageRegionIterator< DwiImageType > it2(dwi2, dwi2->GetLargestPossibleRegion()); while(!it1.IsAtEnd()) { if (it1.Get()!=it2.Get()) return false; ++it1; ++it2; } } catch(...) { return false; } return true; } void StartSimulation(string testFileName) { mitk::DiffusionImage::Pointer refImage = NULL; if (!testFileName.empty()) CPPUNIT_ASSERT(refImage = dynamic_cast*>(mitk::IOUtil::LoadDataNode(testFileName)->GetData())); itk::AddArtifactsToDwiImageFilter< short >::Pointer artifactsToDwiFilter = itk::AddArtifactsToDwiImageFilter< short >::New(); artifactsToDwiFilter->SetUseConstantRandSeed(true); artifactsToDwiFilter->SetInput(m_InputDwi->GetVectorImage()); artifactsToDwiFilter->SetParameters(m_Parameters); CPPUNIT_ASSERT_NO_THROW(artifactsToDwiFilter->Update()); mitk::DiffusionImage::Pointer testImage = mitk::DiffusionImage::New(); testImage->SetVectorImage( artifactsToDwiFilter->GetOutput() ); testImage->SetB_Value(m_Parameters.m_Bvalue); testImage->SetDirections(m_Parameters.GetGradientDirections()); testImage->InitializeFromVectorImage(); if (refImage.IsNotNull()) { CPPUNIT_ASSERT_MESSAGE(testFileName, CompareDwi(testImage->GetVectorImage(), refImage->GetVectorImage())); } else { NrrdDiffusionImageWriter::Pointer writer = NrrdDiffusionImageWriter::New(); writer->SetFileName("/local/distortions2.dwi"); writer->SetInput(testImage); writer->Update(); } } void Spikes() { m_Parameters.m_Spikes = 5; m_Parameters.m_SpikeAmplitude = 1; StartSimulation( GetTestDataFilePath("DiffusionImaging/Fiberfox/spikes2.dwi") ); } void GibbsRinging() { m_Parameters.m_DoAddGibbsRinging = true; StartSimulation( GetTestDataFilePath("DiffusionImaging/Fiberfox/gibbsringing2.dwi") ); } void Ghost() { m_Parameters.m_KspaceLineOffset = 0.25; StartSimulation( GetTestDataFilePath("DiffusionImaging/Fiberfox/ghost2.dwi") ); } void Aliasing() { - m_Parameters.m_Wrap = 0.4; + m_Parameters.m_CroppingFactor = 0.4; StartSimulation( GetTestDataFilePath("DiffusionImaging/Fiberfox/aliasing2.dwi") ); } void Eddy() { m_Parameters.m_EddyStrength = 0.05; StartSimulation( GetTestDataFilePath("DiffusionImaging/Fiberfox/eddy2.dwi") ); } void RicianNoise() { mitk::RicianNoiseModel* ricianNoiseModel = new mitk::RicianNoiseModel(); ricianNoiseModel->SetNoiseVariance(1000000); ricianNoiseModel->SetSeed(0); m_Parameters.m_NoiseModel = ricianNoiseModel; // StartSimulation( GetTestDataFilePath("DiffusionImaging/Fiberfox/riciannoise2.dwi") ); delete m_Parameters.m_NoiseModel; } void ChiSquareNoise() { mitk::ChiSquareNoiseModel* chiSquareNoiseModel = new mitk::ChiSquareNoiseModel(); chiSquareNoiseModel->SetNoiseVariance(1000000); chiSquareNoiseModel->SetSeed(0); m_Parameters.m_NoiseModel = chiSquareNoiseModel; // StartSimulation( GetTestDataFilePath("DiffusionImaging/Fiberfox/chisquarenoise2.dwi") ); delete m_Parameters.m_NoiseModel; } void Distortions() { mitk::Image::Pointer mitkFMap = dynamic_cast(mitk::IOUtil::LoadDataNode( GetTestDataFilePath("DiffusionImaging/Fiberfox/Fieldmap.nrrd") )->GetData()); typedef itk::Image ItkDoubleImgType; ItkDoubleImgType::Pointer fMap = ItkDoubleImgType::New(); mitk::CastToItkImage(mitkFMap, fMap); m_Parameters.m_FrequencyMap = fMap; StartSimulation( GetTestDataFilePath("DiffusionImaging/Fiberfox/distortions2.dwi") ); } }; MITK_TEST_SUITE_REGISTRATION(mitkFiberfoxAddArtifactsToDwi) diff --git a/Modules/DiffusionImaging/FiberTracking/Testing/mitkFiberfoxSignalGenerationTest.cpp b/Modules/DiffusionImaging/FiberTracking/Testing/mitkFiberfoxSignalGenerationTest.cpp index 508f77dc22..14684e2e3b 100644 --- a/Modules/DiffusionImaging/FiberTracking/Testing/mitkFiberfoxSignalGenerationTest.cpp +++ b/Modules/DiffusionImaging/FiberTracking/Testing/mitkFiberfoxSignalGenerationTest.cpp @@ -1,294 +1,294 @@ /*=================================================================== 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 #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include /**Documentation * Test the Fiberfox simulation functions (fiberBundle -> diffusion weighted image) */ bool CompareDwi(itk::VectorImage< short, 3 >* dwi1, itk::VectorImage< short, 3 >* dwi2) { typedef itk::VectorImage< short, 3 > DwiImageType; try{ itk::ImageRegionIterator< DwiImageType > it1(dwi1, dwi1->GetLargestPossibleRegion()); itk::ImageRegionIterator< DwiImageType > it2(dwi2, dwi2->GetLargestPossibleRegion()); while(!it1.IsAtEnd()) { if (it1.Get()!=it2.Get()) return false; ++it1; ++it2; } } catch(...) { return false; } return true; } void StartSimulation(FiberfoxParameters parameters, FiberBundleX::Pointer fiberBundle, mitk::DiffusionImage::Pointer refImage, string message) { itk::TractsToDWIImageFilter< short >::Pointer tractsToDwiFilter = itk::TractsToDWIImageFilter< short >::New(); tractsToDwiFilter->SetUseConstantRandSeed(true); tractsToDwiFilter->SetParameters(parameters); tractsToDwiFilter->SetFiberBundle(fiberBundle); tractsToDwiFilter->Update(); mitk::DiffusionImage::Pointer testImage = mitk::DiffusionImage::New(); testImage->SetVectorImage( tractsToDwiFilter->GetOutput() ); testImage->SetB_Value(parameters.m_Bvalue); testImage->SetDirections(parameters.GetGradientDirections()); testImage->InitializeFromVectorImage(); if (refImage.IsNotNull()) { bool cond = CompareDwi(testImage->GetVectorImage(), refImage->GetVectorImage()); if (!cond) { NrrdDiffusionImageWriter::Pointer writer = NrrdDiffusionImageWriter::New(); writer->SetFileName("/tmp/testImage.dwi"); writer->SetInput(testImage); writer->Update(); writer->SetFileName("/tmp/refImage.dwi"); writer->SetInput(refImage); writer->Update(); } MITK_TEST_CONDITION_REQUIRED(cond, message); } else { MITK_INFO << "Saving test image to " << message; NrrdDiffusionImageWriter::Pointer writer = NrrdDiffusionImageWriter::New(); writer->SetFileName(message); writer->SetInput(testImage); writer->Update(); } } int mitkFiberfoxSignalGenerationTest(int argc, char* argv[]) { RegisterDiffusionCoreObjectFactory(); MITK_TEST_BEGIN("mitkFiberfoxSignalGenerationTest"); MITK_TEST_CONDITION_REQUIRED(argc>=19,"check for input data"); // input fiber bundle FiberBundleXReader::Pointer fibReader = FiberBundleXReader::New(); fibReader->SetFileName(argv[1]); fibReader->Update(); FiberBundleX::Pointer fiberBundle = dynamic_cast(fibReader->GetOutput()); // reference diffusion weighted images mitk::DiffusionImage::Pointer stickBall = dynamic_cast*>(mitk::IOUtil::LoadDataNode(argv[2])->GetData()); mitk::DiffusionImage::Pointer stickAstrosticks = dynamic_cast*>(mitk::IOUtil::LoadDataNode(argv[3])->GetData()); mitk::DiffusionImage::Pointer stickDot = dynamic_cast*>(mitk::IOUtil::LoadDataNode(argv[4])->GetData()); mitk::DiffusionImage::Pointer tensorBall = dynamic_cast*>(mitk::IOUtil::LoadDataNode(argv[5])->GetData()); mitk::DiffusionImage::Pointer stickTensorBall = dynamic_cast*>(mitk::IOUtil::LoadDataNode(argv[6])->GetData()); mitk::DiffusionImage::Pointer stickTensorBallAstrosticks = dynamic_cast*>(mitk::IOUtil::LoadDataNode(argv[7])->GetData()); mitk::DiffusionImage::Pointer gibbsringing = dynamic_cast*>(mitk::IOUtil::LoadDataNode(argv[8])->GetData()); mitk::DiffusionImage::Pointer ghost = dynamic_cast*>(mitk::IOUtil::LoadDataNode(argv[9])->GetData()); mitk::DiffusionImage::Pointer aliasing = dynamic_cast*>(mitk::IOUtil::LoadDataNode(argv[10])->GetData()); mitk::DiffusionImage::Pointer eddy = dynamic_cast*>(mitk::IOUtil::LoadDataNode(argv[11])->GetData()); mitk::DiffusionImage::Pointer linearmotion = dynamic_cast*>(mitk::IOUtil::LoadDataNode(argv[12])->GetData()); mitk::DiffusionImage::Pointer randommotion = dynamic_cast*>(mitk::IOUtil::LoadDataNode(argv[13])->GetData()); mitk::DiffusionImage::Pointer spikes = dynamic_cast*>(mitk::IOUtil::LoadDataNode(argv[14])->GetData()); mitk::DiffusionImage::Pointer riciannoise = dynamic_cast*>(mitk::IOUtil::LoadDataNode(argv[15])->GetData()); mitk::DiffusionImage::Pointer chisquarenoise = dynamic_cast*>(mitk::IOUtil::LoadDataNode(argv[16])->GetData()); mitk::DiffusionImage::Pointer distortions = dynamic_cast*>(mitk::IOUtil::LoadDataNode(argv[17])->GetData()); mitk::Image::Pointer mitkFMap = dynamic_cast(mitk::IOUtil::LoadDataNode(argv[18])->GetData()); typedef itk::Image ItkDoubleImgType; ItkDoubleImgType::Pointer fMap = ItkDoubleImgType::New(); mitk::CastToItkImage(mitkFMap, fMap); FiberfoxParameters parameters; parameters.m_DoSimulateRelaxation = true; parameters.m_SignalScale = 10000; parameters.m_ImageRegion = stickBall->GetVectorImage()->GetLargestPossibleRegion(); parameters.m_ImageSpacing = stickBall->GetVectorImage()->GetSpacing(); parameters.m_ImageOrigin = stickBall->GetVectorImage()->GetOrigin(); parameters.m_ImageDirection = stickBall->GetVectorImage()->GetDirection(); parameters.m_Bvalue = stickBall->GetB_Value(); parameters.SetGradienDirections(stickBall->GetDirections()); // intra and inter axonal compartments mitk::StickModel stickModel; stickModel.SetBvalue(parameters.m_Bvalue); stickModel.SetT2(110); stickModel.SetDiffusivity(0.001); stickModel.SetGradientList(parameters.GetGradientDirections()); mitk::TensorModel tensorModel; tensorModel.SetT2(110); stickModel.SetBvalue(parameters.m_Bvalue); tensorModel.SetDiffusivity1(0.001); tensorModel.SetDiffusivity2(0.00025); tensorModel.SetDiffusivity3(0.00025); tensorModel.SetGradientList(parameters.GetGradientDirections()); // extra axonal compartment models mitk::BallModel ballModel; ballModel.SetT2(80); ballModel.SetBvalue(parameters.m_Bvalue); ballModel.SetDiffusivity(0.001); ballModel.SetGradientList(parameters.GetGradientDirections()); mitk::AstroStickModel astrosticksModel; astrosticksModel.SetT2(80); astrosticksModel.SetBvalue(parameters.m_Bvalue); astrosticksModel.SetDiffusivity(0.001); astrosticksModel.SetRandomizeSticks(true); astrosticksModel.SetSeed(0); astrosticksModel.SetGradientList(parameters.GetGradientDirections()); mitk::DotModel dotModel; dotModel.SetT2(80); dotModel.SetGradientList(parameters.GetGradientDirections()); // noise models mitk::RicianNoiseModel* ricianNoiseModel = new mitk::RicianNoiseModel(); ricianNoiseModel->SetNoiseVariance(1000000); ricianNoiseModel->SetSeed(0); // Rician noise mitk::ChiSquareNoiseModel* chiSquareNoiseModel = new mitk::ChiSquareNoiseModel(); chiSquareNoiseModel->SetNoiseVariance(1000000); chiSquareNoiseModel->SetSeed(0); try{ // Stick-Ball parameters.m_FiberModelList.push_back(&stickModel); parameters.m_NonFiberModelList.push_back(&ballModel); StartSimulation(parameters, fiberBundle, stickBall, argv[2]); // Srick-Astrosticks parameters.m_NonFiberModelList.clear(); parameters.m_NonFiberModelList.push_back(&astrosticksModel); StartSimulation(parameters, fiberBundle, stickAstrosticks, argv[3]); // Stick-Dot parameters.m_NonFiberModelList.clear(); parameters.m_NonFiberModelList.push_back(&dotModel); StartSimulation(parameters, fiberBundle, stickDot, argv[4]); // Tensor-Ball parameters.m_FiberModelList.clear(); parameters.m_FiberModelList.push_back(&tensorModel); parameters.m_NonFiberModelList.clear(); parameters.m_NonFiberModelList.push_back(&ballModel); StartSimulation(parameters, fiberBundle, tensorBall, argv[5]); // Stick-Tensor-Ball parameters.m_FiberModelList.clear(); parameters.m_FiberModelList.push_back(&stickModel); parameters.m_FiberModelList.push_back(&tensorModel); parameters.m_NonFiberModelList.clear(); parameters.m_NonFiberModelList.push_back(&ballModel); StartSimulation(parameters, fiberBundle, stickTensorBall, argv[6]); // Stick-Tensor-Ball-Astrosticks parameters.m_NonFiberModelList.push_back(&astrosticksModel); StartSimulation(parameters, fiberBundle, stickTensorBallAstrosticks, argv[7]); // Gibbs ringing parameters.m_FiberModelList.clear(); parameters.m_FiberModelList.push_back(&stickModel); parameters.m_NonFiberModelList.clear(); parameters.m_NonFiberModelList.push_back(&ballModel); parameters.m_DoAddGibbsRinging = true; StartSimulation(parameters, fiberBundle, gibbsringing, argv[8]); // Ghost parameters.m_DoAddGibbsRinging = false; parameters.m_KspaceLineOffset = 0.25; StartSimulation(parameters, fiberBundle, ghost, argv[9]); // Aliasing parameters.m_KspaceLineOffset = 0; - parameters.m_Wrap = 0.4; + parameters.m_CroppingFactor = 0.4; parameters.m_SignalScale = 1000; StartSimulation(parameters, fiberBundle, aliasing, argv[10]); // Eddy currents - parameters.m_Wrap = 1; + parameters.m_CroppingFactor = 1; parameters.m_SignalScale = 10000; parameters.m_EddyStrength = 0.05; StartSimulation(parameters, fiberBundle, eddy, argv[11]); // Motion (linear) parameters.m_EddyStrength = 0.0; parameters.m_DoAddMotion = true; parameters.m_DoRandomizeMotion = false; parameters.m_Translation[1] = 10; parameters.m_Rotation[2] = 90; StartSimulation(parameters, fiberBundle, linearmotion, argv[12]); // Motion (random) parameters.m_DoRandomizeMotion = true; parameters.m_Translation[1] = 5; parameters.m_Rotation[2] = 45; StartSimulation(parameters, fiberBundle, randommotion, argv[13]); // Spikes parameters.m_DoAddMotion = false; parameters.m_Spikes = 5; parameters.m_SpikeAmplitude = 1; StartSimulation(parameters, fiberBundle, spikes, argv[14]); // Rician noise parameters.m_Spikes = 0; parameters.m_NoiseModel = ricianNoiseModel; StartSimulation(parameters, fiberBundle, riciannoise, argv[15]); delete parameters.m_NoiseModel; // Chi-square noise parameters.m_NoiseModel = chiSquareNoiseModel; StartSimulation(parameters, fiberBundle, chisquarenoise, argv[16]); delete parameters.m_NoiseModel; // Distortions parameters.m_NoiseModel = NULL; parameters.m_FrequencyMap = fMap; StartSimulation(parameters, fiberBundle, distortions, argv[17]); } catch (std::exception &e) { MITK_TEST_CONDITION_REQUIRED(false, e.what()); } // always end with this! MITK_TEST_END(); } diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/QmitkDiffusionImagingUserManual.dox b/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/QmitkDiffusionImagingUserManual.dox index 97a399a1ca..16d262a6f1 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/QmitkDiffusionImagingUserManual.dox +++ b/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/QmitkDiffusionImagingUserManual.dox @@ -1,140 +1,143 @@ /** \page org_mitk_gui_qt_diffusionimaging MITK Diffusion Imaging (MITK-DI) This module provides means to diffusion weighted image reconstruction, visualization and quantification. Diffusion tensors as well as different q-ball reconstruction schemes are supported. Q-ball imaging aims at recovering more detailed information about the orientations of fibers from diffusion MRI measurements and, in particular, to resolve the orientations of crossing fibers. Available sections: - \ref QmitkDiffusionImagingUserManualIssues - \ref QmitkDiffusionImagingUserManualPreprocessing - \ref QmitkDiffusionImagingUserManualTensorReconstruction - \ref QmitkDiffusionImagingUserManualQBallReconstruction - \ref QmitkDiffusionImagingUserManualDicomImport - \ref QmitkDiffusionImagingUserManualFslImport - \ref QmitkDiffusionImagingUserManualQuantification - \ref QmitkDiffusionImagingUserManualVisualizationSettings - \ref QmitkDiffusionImagingUserManualReferences - \ref QmitkDiffusionImagingUserManualTechnicalDetail - \ref QmitkDiffusionImagingUserManualSubManuals \section QmitkDiffusionImagingUserManualIssues Known Issues \li Dicom Import: The dicom import has so far only been implemented for Siemens dicom images. MITK-DI is capable of reading the nrrd format, which is documented elsewhere [1, 2]. These files can be created by combining the raw image data with a corresponding textual header file. The file extension should be changed from *.nrrd to *.dwi or from *.nhdr to *.hdwi respectively in order to let MITK-DI recognize the diffusion related header information provided in the files. \section QmitkDiffusionImagingUserManualPreprocessing Preprocessing The preprocessing view gives an overview over the important features of a diffusion weighted image like the number of gradient directions, b-value and the measurement frame. Additionally it allows the extraction of the B0 image, reduction of gradient directions and the generation of a binary brain mask. The image volume can be modified by applying a new mesurement frame, which is useful if the measurement frame is not set correctly in the image header, or by averaging redundant gradient directions. \image html prepro1.png Preprocessing \section QmitkDiffusionImagingUserManualTensorReconstruction Tensor Reconstruction The tensor reconstruction view allows ITK based tensor reconstruction [3]. The advanced settings for ITK reconstruction let you configure a manual threshold on the non-diffusion weighted image. All voxels below this threshold will not be reconstructed and left blank. It is also possible to check for negative eigenvalues. The according voxels are also left blank. \image html tensor1.png ITK tensor reconstruction A few seconds (depending on the image size) after the reconstruction button is hit, a colored image should appear in the main window. \image html tensor4.png Tensor image after reconstruction To assess the quality of the tensor fit it has been proposed to calculate the model residual [9]. This calculates the residual between the measured signal and the signal predicted by the model. Large residuals indicate an inadequacy of the model or the presence of artefacts in the signal intensity (noise, head motion, etc.). To use this option: Select a DWI dataset, estimate a tensor, select both the DWI node and the tensor node in the datamanager and press Residual Image Calculation. MITK-Diffusion can show the residual for every voxel averaged over all volumes or (in the plot widget) summarized per volume or for every slice in every volume. Clicking in the widget where the residual is shown per slice will automatically let the cross-hair jump to that position in the DWI dataset. If Percentage of outliers is checked, the per volume plot will show the percentage of outliers per volume. Otherwise it will show the mean together with the first and third quantile of residuals. See [9] for more information. \image html residuals.png The residual widget The view also allows the generation of artificial diffusion weighted or Q-Ball images from the selected tensor image. The ODFs of the Q-Ball image are directly initialized from the tensor values and afterwards normalized. The diffusion weighted image is estimated using the l2-norm image of the tensor image as B0. The gradient images are afterwards generated using the standard tensor equation. \section QmitkDiffusionImagingUserManualQBallReconstruction Q-Ball Reconstruction The q-ball reonstruction view implements a variety of reconstruction methods. The different reconstruction methods are described in the following: \li Numerical: The original, numerical q-ball reconstruction presented by Tuch et al. [5] \li Standard (SH): Descoteaux's reconstruction based on spherical harmonic basis functions [6] \li Solid Angle (SH): Aganj's reconstruction with solid angle consideration [7] \li ADC-profile only: The ADC-profile reconstructed with spherical harmonic basis functions \li Raw signal only: The raw signal reconstructed with spherical harmonic basis functions \image html qballs1.png The q-ball resonstruction view B0 threshold works the same as in tensor reconstruction. The maximum l-level configures the size of the spherical harmonics basis. Larger l-values (e.g. l=8) allow higher levels of detail, lower levels are more stable against noise (e.g. l=4). Lambda is a regularisation parameter. Set it to 0 for no regularisation. lambda = 0.006 has proven to be a stable choice under various settings. \image html qballs2.png Advanced q-ball reconstruction settings This is how a q-ball image should initially look after reconstruction. Standard q-balls feature a relatively low GFA and thus appear rather dark. Adjust the level-window to solve this. \image html qballs3.png q-ball image after reconstruction \section QmitkDiffusionImagingUserManualDicomImport Dicom Import The dicom import does not cover all hardware manufacturers but only Siemens dicom images. MITK-DI is also capable of reading the nrrd format, which is documented elsewhere [1, 2]. These files can be created by combining the raw image data with a corresponding textual header file. The file extension should be changed from *.nrrd to *.dwi or from *.nhdr to *.hdwi respectively in order to let MITK-DI recognize the diffusion related header information provided in the files. In case your dicom images are readable by MITK-DI, select one or more input dicom folders and click import. Each input folder must only contain DICOM-images that can be combined into one vector-valued 3D output volume. Different patients must be loaded from different input-folders. The folders must not contain other acquisitions (e.g. T1,T2,localizer). In case many imports are performed at once, it is recommended to set the the optional output folder argument. This prevents the images from being kept in memory. \image html dicom1.png Dicom import The option "Average duplicate gradients" accumulates the information that was acquired with multiple repetitions for one gradient. Vectors do not have to be precisely equal in order to be merged, if a "blur radius" > 0 is configured. \section QmitkDiffusionImagingUserManualFslImport FSL Import FSL diffusion data can be imported with MITK Diffusion. FSL diffusion datasets consist of 3 files: a nifty file (filename.nii.gz or filename.nii), a bvecs file (filename.bvecs), which is a text file containing the gradient vectors, and a bvals file (filename.bvecs), containing the b-values. Due to the system that selects suitable file readers, MITK will not recognize these files as diffusion datasets. In order to make MITK recognize it as diffusion, the extension must be changed from .nii.gz to .fslgz (so the new name is filename.fslgz) or from filename.nii to filename.fsl. The bvecs and bvals files have to be renamed as well(to filename.fsl.bvecs/filenames.fsl.bvecs or to filename.fslgz.bvecs/filename.fslgz.bvals). MITK can also save diffusion weighted images in FSL format. To do this the extension of the new file should be changed to .fsl or .fslgz upon saving the file. \image html fslsave.png Save a dwi dataset as fsl \section QmitkDiffusionImagingUserManualQuantification Quantification The quantification view allows the derivation of different scalar anisotropy measures for the reconstructed tensors (Fractional Anisotropy, Relative Anisotropy, Axial Diffusivity, Radial Diffusivity) or q-balls (Generalized Fractional Anisotropy). \image html quantification.png Anisotropy quantification \section QmitkDiffusionImagingUserManualVisualizationSettings ODF Visualization Setting In this small view, the visualization of ODFs and diffusion images can be configured. Depending on the selected image in the data storage, different options are shown here. For tensor or q-ball images, the visibility of glyphs in the different render windows (T)ransversal, (S)agittal, and (C)oronal can be configured here. The maximal number of glyphs to display can also be configured here for. This is usefull to keep the system response time during rendering feasible. The other options configure normalization and scaling of the glyphs. In diffusion images, a slider lets you choose the desired image channel from the vector of images (each gradient direction one image) for rendering. Furthermore reinit can be performed and texture interpolation toggled. This is how a visualization with activated glyphs should look like: \image html visualization3.png Q-ball image with ODF glyph visibility toggled ON \section QmitkDiffusionImagingUserManualReferences References 1. http://teem.sourceforge.net/nrrd/format.html 2. http://www.cmake.org/Wiki/Getting_Started_with_the_NRRD_Format 3. C.F.Westin, S.E.Maier, H.Mamata, A.Nabavi, F.A.Jolesz, R.Kikinis, "Processing and visualization for Diffusion tensor MRI", Medical image Analysis, 2002, pp 93-108 5. Tuch, D.S., 2004. Q-ball imaging. Magn Reson Med 52, 1358-1372. 6. Descoteaux, M., Angelino, E., Fitzgibbons, S., Deriche, R., 2007. Regularized, fast, and robust analytical Q-ball imaging. Magn Reson Med 58, 497-510. 7. Aganj, I., Lenglet, C., Sapiro, G., 2009. ODF reconstruction in q-ball imaging with solid angle consideration. Proceedings of the Sixth IEEE International Symposium on Biomedical Imaging Boston, MA. 8. Goh, A., Lenglet, C., Thompson, P.M., Vidal, R., 2009. Estimating Orientation Distribution Functions with Probability Density Constraints and Spatial Regularity. Med Image Comput Comput Assist Interv Int Conf Med Image Comput Comput Assist Interv LNCS 5761, 877 ff. 9. J.-D. Tournier, S. Mori, A. Leemans., 2011. Diffusion Tensor Imaging and Beyond. Magn Reson Med 65, 1532-1556. \section QmitkDiffusionImagingUserManualTechnicalDetail Technical Information for Developers The diffusion imaging module uses additional properties beside the ones in use in other modules, for further information see \ref DiffusionImagingPropertiesPage . \section QmitkDiffusionImagingUserManualSubManuals Manuals of componentes The MITK Diffusion tools consist of further components, which have their own documentation, see: \li \subpage org_mitk_views_fiberprocessing \li \subpage org_mitk_views_gibbstracking \li \subpage org_mitk_views_odfdetails \li \subpage org_mitk_views_partialvolumeanalysisview \li \subpage org_mitk_views_screenshotmaker \li \subpage org_mitk_views_stochasticfibertracking \li \subpage org_mitk_views_ivim \li \subpage org_mitk_diffusionimagingapp_perspectives_connectomics \li \subpage org_mitk_views_tractbasedspatialstatistics + \li \subpage org_mitk_views_fiberextraction + \li \subpage org_mitk_views_fiberprocessing \li \subpage org_mitk_views_odfmaximaextraction \li \subpage org_mitk_views_streamlinetracking \li \subpage org_mitk_views_fiberfoxview + \li \subpage org_mitk_views_fieldmapgenerator */ diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/QmitkFiberExtractionViewUserManual.dox b/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/QmitkFiberExtractionViewUserManual.dox new file mode 100644 index 0000000000..df6577f4a5 --- /dev/null +++ b/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/QmitkFiberExtractionViewUserManual.dox @@ -0,0 +1,9 @@ +/** +\page org_mitk_views_fiberextraction Fiber Extraction View + +This view provides tools to extract subbundles from a given fiber bundle. + +Place ROIs in the 2D render widgets (cricles or polygons) and extract fibers from the bundle that pass through these ROIs by selecting the according ROI and fiber bundle in the datamanger and starting the extraction. The ROIs can be combined via logical operations. All fibers that pass through the thus generated composite ROI are extracted. The extraction can also be performed using 3D ROIs represented as binary mask images. In this extraction method, the logical operations are not implemented at the moment. + +The selected fiber bundle can be smoothed by interpolating the fiber points using Kochanek splines with the specified number of points per cm. +*/ diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/QmitkFiberProcessingViewUserManual.dox b/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/QmitkFiberProcessingViewUserManual.dox index 6f1f6d6963..75e8530197 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/QmitkFiberProcessingViewUserManual.dox +++ b/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/QmitkFiberProcessingViewUserManual.dox @@ -1,23 +1,19 @@ /** \page org_mitk_views_fiberprocessing Fiber Processing View -This view provides everything needed to process fiber bundles. - -\image html fiberprocessing.png The Fiber Processing View - -Fiber extraction: -Place ROIs in the 2D render widgets (cricles or polygons) and extract fibers from the bundle that pass through these ROIs by selecting the according ROI and fiber bundle in the datamanger and starting the extraction. The ROIs can be combined via logical operations. All fibers that pass through the thus generated composite ROI are extracted. The extraction can also be performed using 3D ROIs represented as closed surface meshes. In this extraction method, the logical operations are not implemented at the moment. - -The selected fiber bundle can be smoothed by interpolating the fiber points using Kochanek splines with the specified number of points per cm. - -If a float image with pixel values between 0 and 1 is selcted, the fiber bundle can be colored according to the pixel values. +This view provides tools to modify and postprocess the selected fiber bundle as well as additional methods such as TDI. Generation of additional data from fiber bundles: \li Tract density image: generate a 2D heatmap from a fiber bundle \li Binary envelope: generate a binary image from a fiber bundle \li Fiber bundle image: generate a 2D rgba image representation of the fiber bundle -\li Fiber endings image: generate a 2D binary image showing the locations of fiber endpoints +\li Fiber endings image: generate a 2D image showing the locations of fiber endpoints \li Fiber endings pointset: generate a poinset containing the locations of fiber endpoints +Fiber bundle postprocessing: +\li The selected fiber bundle can be smoothed by interpolating the fiber points using Kochanek splines. +\li The fiber bundle can be pruned using a length or curvature threshold. +\li The fiber bundle can be mirrored in aqll three dimensions. +If a float image with pixel values between 0 and 1 is selcted, the fiber bundle can be colored according to the pixel values (e.g. using an FA image). */ diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/QmitkFieldmapGeneratorViewUserManual.dox b/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/QmitkFieldmapGeneratorViewUserManual.dox new file mode 100644 index 0000000000..ae16bdf3ab --- /dev/null +++ b/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/QmitkFieldmapGeneratorViewUserManual.dox @@ -0,0 +1,16 @@ +/** +\page org_mitk_views_fieldmapgenerator Fieldmap Generator View + +This view allows the creation of artificial frequency maps used by Fiberfox to introduce distortions into diffusion weighted images. The generated images can contain a linear frequency gradient and/or multiple 3D gaussian shaped field inhomogeneities. + +Example: +\li Select a reference image with the combo box. The generated fieldmap will feature the same geometry as the selected image. +\li Move the crosshair to the any position in the image and click "Place Field Source". +\li A position marker will appear in the render windows and in the datamanager, which indicates the position of a 3D gaussian field distortion that will be introduced upon clicking "Generate Fieldmap". +\li The strength and variance of the placed sources can be modified by selecting the corresponding data node in the data manager and adjusting the parameters in the lower part of the view (below "Edit Selected Source"). +\li To introduce an (additional) linear frequency gradient, specify the gradient below "Add Gradient". +\li To finally generate the fieldmap, press "Generate Fieldmap". + +\image html fieldmapGenerator.png The Fieldmap Generator View. The render window shows a diffusion weighted image of the brain superimposed by a frequency map with two 3D gaussian field inhomogeneities (red). + +*/ diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/QmitkGibbsTrackingViewUserManual.dox b/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/QmitkGibbsTrackingViewUserManual.dox index 8424ea110f..4bd210e205 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/QmitkGibbsTrackingViewUserManual.dox +++ b/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/QmitkGibbsTrackingViewUserManual.dox @@ -1,44 +1,44 @@ /** \page org_mitk_views_gibbstracking Gibbs Tracking View This view provides the user interface for the Gibbs Tracking algorithm, a global fiber tracking algorithm, originally proposed by Reisert et.al. [1]. Available sections: - \ref QmitkGibbsTrackingUserManualInputData - \ref QmitkGibbsTrackingUserManualParameters - \ref QmitkGibbsTrackingUserManualTrackingSurveillance - \ref QmitkGibbsTrackingUserManualReferences \image html gibbstrackingview.png The Gibbs Tracking View \section QmitkGibbsTrackingUserManualInputData Input Data Mandatory Input: -\li One Q-Ball image selected in the datamanager +\li One Q-Ball or tensor image selected in the datamanager Optional Input: \li Mask Image: Float image used as probability mask for the generation of fiber segments. Usually used as binary brain mask to reduce the searchspace of the algorithm and to avoid fibers resulting from noise outside of the brain. \section QmitkGibbsTrackingUserManualParameters Q-Ball Reconstruction \li Number of iterations: More iterations causes the algorithm to be more stable but also to take longer to finish the tracking. Rcommended: 10⁷-10⁹ iterations. \li Particle length/width/weight controlling the contribution of each particle to the model M \li Start and end temperature controlling how fast the process reaches a stable state. (usually no change needed) \li Weighting between the internal (affinity of the model to long and straigt fibers) and external energy (affinity of the model towards the data). (usually no change needed). \li Minimum fiber length constraint (in mm). Shorter fibers are discarded after the tracking. The automatic selection of parameters for the particle length/width and weight are determined directly from the input image using information about the image spacing and GFA. \image html gibbstrackingviewadvanced.png Advanced Tracking Parameters \section QmitkGibbsTrackingUserManualTrackingSurveillance Surveilance of the tracking process -Once started, the tracking can be monitored via the textual output that informs about the tracking progress and several stats of the current state of the algorithm. +Once started, the tracking can be monitored via the textual output that informs about the tracking progress and several stats of the current state of the algorithm. If enabled, the intermediate tracking results are displayed in the renderwindows each second. This live visualization should usually be disabled for performance reasons. It can be turned on and off during the tracking process via the according checkbox. The button next to this checkbox allows the visualization of only the next iteration step. \section QmitkGibbsTrackingUserManualReferences References [1] Reisert, M., Mader, I., Anastasopoulos, C., Weigel, M., Schnell, S., Kiselev, V.: Global fiber reconstruction becomes practical. Neuroimage 54 (2011) 955-962 */ diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/QmitkOdfMaximaExtractionViewUserManual.dox b/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/QmitkOdfMaximaExtractionViewUserManual.dox index 41cb736484..812a4aad90 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/QmitkOdfMaximaExtractionViewUserManual.dox +++ b/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/QmitkOdfMaximaExtractionViewUserManual.dox @@ -1,51 +1,49 @@ /** \page org_mitk_views_odfmaximaextraction Peak Extraction View This view provides the user interface to extract the peaks of tensors and the spherical harmonic representation of Q-Balls. Available sections: - \ref OdfMaxUserManualInputData - \ref OdfMaxUserManualOutputData - \ref OdfMaxUserManualMethods - \ref OdfMaxUserManualParameters - \ref OdfMaxUserManualReferences -\image html peakextractionview.png Peak Extraction View - \section OdfMaxUserManualInputData Input Data Mandatory Input: \li DTI image or image containing the spherical harmonic coefficients. The SH coefficient images can be obtain from the Q-Ball reconstruction view by enabling the checkbox in the advanced options. Optional Input: \li Binary mask to define the extraction area. \section OdfMaxUserManualOutputData Output Data \li Vector field: 3D representation of the resulting peaks. Only for visualization purposes (the peaks are scaled additionally to the specified normalization to improve the visualization)! \li #Directions per Voxel: Image containing the number of extracted peaks per voxel as image value. \li Direction Images: One image for each of the extracted peaks per voxel. Each voxel contains one direction vector as image value. Use this output for evaluation purposes of the extracted peaks. \section OdfMaxUserManualMethods Peak Extraction Methods \li If a tensor image is used as input, the output is simply the largest eigenvector of each voxel. \li The finite differences extraction uses a higly sampled version of the image ODFs, extracts all local maxima and clusters the resulting directions that point in a similar direction. \li For details about the analytical method (experimental) please refer to [1]. -\image html peaks.png Peaks extracted from the ODFs of a crossing Phantom using the finite differences method. +\image html crossingmaxima.png Peaks of a fiber crossing extracted using finite differences method. \section OdfMaxUserManualParameters Input Parameters \li Vector normalization method (no normalization, maximum normalization of the vecors of one voxel and independent normalization of each vecor). \li SH Order: Specify the order of the spherical harmonic coefficients. \li Maximum number of peaks to extract. If more peaks are found only the largest are kept. \li Threshold to discard small peaks. Value relative to the largest peak of the respective voxel. \li Absolute threshold on the peak size. To evaluate this threshold the peaks are additionally weighted by their GFA (low GFA voxels are more likely to be discarded). This threshold is only used for the finite differences extraction method. \section OdfMaxUserManualReferences References [1] Aganj et al. Proceedings of the Thirteenth International Conference on Medical Image Computing and Computer Assisted Intervention 2010 */ diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/QmitkStreamlineTrackingViewUserManual.dox b/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/QmitkStreamlineTrackingViewUserManual.dox index e6fd7bdd84..8dbd1e69db 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/QmitkStreamlineTrackingViewUserManual.dox +++ b/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/QmitkStreamlineTrackingViewUserManual.dox @@ -1,40 +1,41 @@ /** \page org_mitk_views_streamlinetracking Streamline Tracking View -This view provides the user interface for basic streamline fiber tractography on diffusion tensor images. FACT and TEND tracking methods are available. +This view provides the user interface for basic streamline fiber tractography on diffusion tensor images (single and multi-tensor tracking). FACT and TEND tracking methods are available. Available sections: - \ref StrTrackUserManualInputData - \ref StrTrackUserManualParameters - \ref StrTrackUserManualReferences \image html streamlinetrackingview.png Streamline Tracking View \section StrTrackUserManualInputData Input Data Mandatory Input: -\li One DTI Image image selected in the datamanager +\li One or multiple DTI Image images selected in the datamanager. Optional Input: +\li FA image used to determine streamline termination. If no image is specified, the FA image is automatically calculated from the input tensor images. If multiple tensor images are used as input, it is recommended to provide such an FA image since the FA maps calculated from the individual input tensor images can not provide a suitable termination criterion. \li Binary mask used to define the seed voxels. If no seed mask is specified, the whole image volume is seeded. \li Binary mask used to constrain the generated streamlines. Streamlines can not leave the mask area. \section StrTrackUserManualParameters Input Parameters \li FA Threshold: If the streamline reaches a position with an FA value lower than the speciefied threshold, it is not tracked any further. \li Min. Curvature Radius: If the streamline has a higher curvature than specified, it is not tracked any further. It is defined as the radius of the circle specified by three successive streamline positions. \li f and g values to balance between FACT [1] and TEND [2,3] tracking. For further information please refer to [2,3] \li Step Size: The algorithm proceeds along the streamline with a fixed stepsize. Default is 0.1*minSpacing. \li Min. Tract Length: Shorter fibers are discarded. \li Seeds per voxel: If set to 1, the seed is defined as the voxel center. If > 1 the seeds are distributet randomly inside the voxel. -By default the image values are not interpolated. Enable according checkbox to use trilinear interpolation of the tensors as well as the FA values. Keep in mind that in the noninterpolated case, the TEND term is only applied once per voxel. In the interpolated case the TEND term is applied at each integration step which results in much higher curvatures and has to be compensated by an according choice of f and g. +By default the image values are not interpolated. Enable corresponding checkbox to use trilinear interpolation of the tensors as well as the FA values. Keep in mind that in the noninterpolated case, the TEND term is only applied once per voxel. In the interpolated case the TEND term is applied at each integration step which results in much higher curvatures and has to be compensated by an according choice of f and g. \section StrTrackUserManualReferences References [1] Mori et al. Annals Neurology 1999\n [2] Weinstein et al. Proceedings of IEEE Visualization 1999\n [3] Lazar et al. Human Brain Mapping 2003\n */ diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/crossingmaxima.png b/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/crossingmaxima.png new file mode 100644 index 0000000000..699b6f7f1b Binary files /dev/null and b/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/crossingmaxima.png differ diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/fiberprocessing.png b/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/fiberprocessing.png deleted file mode 100644 index bc8e88b655..0000000000 Binary files a/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/fiberprocessing.png and /dev/null differ diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/fieldmapGenerator.png b/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/fieldmapGenerator.png new file mode 100644 index 0000000000..b7fa09ea61 Binary files /dev/null and b/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/fieldmapGenerator.png differ diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/peakextractionview.png b/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/peakextractionview.png deleted file mode 100644 index 6ad1211464..0000000000 Binary files a/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/peakextractionview.png and /dev/null differ diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/peaks.png b/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/peaks.png deleted file mode 100644 index 41afdf8b59..0000000000 Binary files a/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/peaks.png and /dev/null differ diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/streamlinetrackingview.png b/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/streamlinetrackingview.png index a673154547..f93c8a0bb4 100644 Binary files a/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/streamlinetrackingview.png and b/Plugins/org.mitk.gui.qt.diffusionimaging/documentation/UserManual/streamlinetrackingview.png differ 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 959f6b346f..894a65f467 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging/src/internal/QmitkFiberfoxView.cpp +++ b/Plugins/org.mitk.gui.qt.diffusionimaging/src/internal/QmitkFiberfoxView.cpp @@ -1,2229 +1,2229 @@ /*=================================================================== 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 #include #include #include #include "usModuleRegistry.h" #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_SelectedImage( NULL ) , m_OutputPath("") , 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; } } 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_GenerateImageButton->setVisible(true); //m_Controls->m_SimulationStatusText->setVisible(false); m_ThreadIsRunning = false; FiberfoxParameters parameters; mitk::DiffusionImage::Pointer mitkImage = mitk::DiffusionImage::New(); switch (m_Worker.m_FilterType) { case 0: { if (m_TractsToDwiFilter->GetAbortGenerateData()) { MITK_INFO << "Simulation aborted."; return; } parameters = m_TractsToDwiFilter->GetParameters(); mitkImage->SetVectorImage( m_TractsToDwiFilter->GetOutput() ); mitkImage->SetB_Value(parameters.m_Bvalue); mitkImage->SetDirections(parameters.GetGradientDirections()); mitkImage->InitializeFromVectorImage(); parameters.m_ResultNode->SetData( mitkImage ); parameters.m_ResultNode->SetName(parameters.m_ParentNode->GetName() +"_D"+QString::number(parameters.m_ImageRegion.GetSize(0)).toStdString() +"-"+QString::number(parameters.m_ImageRegion.GetSize(1)).toStdString() +"-"+QString::number(parameters.m_ImageRegion.GetSize(2)).toStdString() +"_S"+QString::number(parameters.m_ImageSpacing[0]).toStdString() +"-"+QString::number(parameters.m_ImageSpacing[1]).toStdString() +"-"+QString::number(parameters.m_ImageSpacing[2]).toStdString() +"_b"+QString::number(parameters.m_Bvalue).toStdString() +"_"+parameters.m_SignalModelString +parameters.m_ArtifactModelString); GetDataStorage()->Add(parameters.m_ResultNode, parameters.m_ParentNode); parameters.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 (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(parameters.m_ParentNode->GetName()+"_CompartmentVolume-"+QString::number(k).toStdString()); GetDataStorage()->Add(node, parameters.m_ParentNode); } } m_TractsToDwiFilter = NULL; break; } case 1: { if (m_ArtifactsToDwiFilter->GetAbortGenerateData()) { MITK_INFO << "Simulation aborted."; return; } parameters = m_ArtifactsToDwiFilter->GetParameters().CopyParameters(); mitk::DiffusionImage::Pointer diffImg = dynamic_cast*>(parameters.m_ParentNode->GetData()); mitkImage = mitk::DiffusionImage::New(); mitkImage->SetVectorImage( m_ArtifactsToDwiFilter->GetOutput() ); mitkImage->SetB_Value(diffImg->GetB_Value()); mitkImage->SetDirections(diffImg->GetDirections()); mitkImage->InitializeFromVectorImage(); parameters.m_ResultNode->SetData( mitkImage ); parameters.m_ResultNode->SetName(parameters.m_ParentNode->GetName()+parameters.m_ArtifactModelString); GetDataStorage()->Add(parameters.m_ResultNode, parameters.m_ParentNode); m_ArtifactsToDwiFilter = NULL; break; } } mitk::BaseData::Pointer basedata = parameters.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_OutputPath.empty()) { try{ QString status("Saving output image to "); status += QString(parameters.m_OutputPath.c_str()); status += parameters.m_ResultNode->GetName().c_str(); status += ".dwi"; m_Controls->m_SimulationStatusText->append(status); mitk::NrrdDiffusionImageWriter::Pointer writer = NrrdDiffusionImageWriter::New(); writer->SetFileName(parameters.m_OutputPath+parameters.m_ResultNode->GetName()+".dwi"); writer->SetInput(mitkImage); writer->Update(); 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_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); } } // 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_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()); mitk::TNodePredicateDataType::Pointer isMitkImage = mitk::TNodePredicateDataType::New(); mitk::NodePredicateDataType::Pointer isDwi = mitk::NodePredicateDataType::New("DiffusionImage"); 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 finalPredicate = mitk::NodePredicateAnd::New(isMitkImage, noDiffusionImage); m_Controls->m_FrequencyMapBox->SetPredicate(finalPredicate); 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())); } } template< class ScalarType > FiberfoxParameters< ScalarType > QmitkFiberfoxView::UpdateImageParameters() { FiberfoxParameters< ScalarType > parameters; parameters.m_OutputPath = m_OutputPath; parameters.m_MaskImage = m_ItkMaskImage; if (m_SelectedDWI.IsNotNull()) // use parameters of selected DWI { mitk::DiffusionImage::Pointer dwi = dynamic_cast*>(m_SelectedDWI->GetData()); parameters.m_ImageRegion = dwi->GetVectorImage()->GetLargestPossibleRegion(); parameters.m_ImageSpacing = dwi->GetVectorImage()->GetSpacing(); parameters.m_ImageOrigin = dwi->GetVectorImage()->GetOrigin(); parameters.m_ImageDirection = dwi->GetVectorImage()->GetDirection(); parameters.m_Bvalue = dwi->GetB_Value(); parameters.SetGradienDirections(dwi->GetDirections()); } else if (m_SelectedImage.IsNotNull()) // use geometry of selected image { mitk::Image::Pointer img = dynamic_cast(m_SelectedImage->GetData()); itk::Image< float, 3 >::Pointer itkImg = itk::Image< float, 3 >::New(); CastToItkImage< itk::Image< float, 3 > >(img, itkImg); parameters.m_ImageRegion = itkImg->GetLargestPossibleRegion(); parameters.m_ImageSpacing = itkImg->GetSpacing(); parameters.m_ImageOrigin = itkImg->GetOrigin(); parameters.m_ImageDirection = itkImg->GetDirection(); parameters.SetNumWeightedGradients(m_Controls->m_NumGradientsBox->value()); parameters.m_Bvalue = m_Controls->m_BvalueBox->value(); } else // use GUI parameters { parameters.m_ImageRegion.SetSize(0, m_Controls->m_SizeX->value()); parameters.m_ImageRegion.SetSize(1, m_Controls->m_SizeY->value()); parameters.m_ImageRegion.SetSize(2, m_Controls->m_SizeZ->value()); parameters.m_ImageSpacing[0] = m_Controls->m_SpacingX->value(); parameters.m_ImageSpacing[1] = m_Controls->m_SpacingY->value(); parameters.m_ImageSpacing[2] = m_Controls->m_SpacingZ->value(); parameters.m_ImageOrigin[0] = parameters.m_ImageSpacing[0]/2; parameters.m_ImageOrigin[1] = parameters.m_ImageSpacing[1]/2; parameters.m_ImageOrigin[2] = parameters.m_ImageSpacing[2]/2; parameters.m_ImageDirection.SetIdentity(); parameters.SetNumWeightedGradients(m_Controls->m_NumGradientsBox->value()); parameters.m_Bvalue = m_Controls->m_BvalueBox->value(); parameters.GenerateGradientHalfShell(); } // signal relaxation parameters.m_DoSimulateRelaxation = m_Controls->m_RelaxationBox->isChecked(); if (parameters.m_DoSimulateRelaxation && m_SelectedBundles.size()>0 ) parameters.m_ArtifactModelString += "_RELAX"; // N/2 ghosts if (m_Controls->m_AddGhosts->isChecked()) { parameters.m_ArtifactModelString += "_GHOST"; parameters.m_KspaceLineOffset = m_Controls->m_kOffsetBox->value(); parameters.m_ResultNode->AddProperty("Fiberfox.Ghost", DoubleProperty::New(parameters.m_KspaceLineOffset)); } else parameters.m_KspaceLineOffset = 0; // Aliasing if (m_Controls->m_AddAliasing->isChecked()) { parameters.m_ArtifactModelString += "_ALIASING"; - parameters.m_Wrap = (100-m_Controls->m_WrapBox->value())/100; + parameters.m_CroppingFactor = (100-m_Controls->m_WrapBox->value())/100; parameters.m_ResultNode->AddProperty("Fiberfox.Aliasing", DoubleProperty::New(m_Controls->m_WrapBox->value())); } // Motion parameters.m_DoAddMotion = m_Controls->m_AddMotion->isChecked(); parameters.m_DoRandomizeMotion = m_Controls->m_RandomMotion->isChecked(); parameters.m_Translation[0] = m_Controls->m_MaxTranslationBoxX->value(); parameters.m_Translation[1] = m_Controls->m_MaxTranslationBoxY->value(); parameters.m_Translation[2] = m_Controls->m_MaxTranslationBoxZ->value(); parameters.m_Rotation[0] = m_Controls->m_MaxRotationBoxX->value(); parameters.m_Rotation[1] = m_Controls->m_MaxRotationBoxY->value(); parameters.m_Rotation[2] = m_Controls->m_MaxRotationBoxZ->value(); if ( m_Controls->m_AddMotion->isChecked() && m_SelectedBundles.size()>0 ) { parameters.m_ArtifactModelString += "_MOTION"; parameters.m_ResultNode->AddProperty("Fiberfox.Motion.Random", BoolProperty::New(parameters.m_DoRandomizeMotion)); parameters.m_ResultNode->AddProperty("Fiberfox.Motion.Translation-x", DoubleProperty::New(parameters.m_Translation[0])); parameters.m_ResultNode->AddProperty("Fiberfox.Motion.Translation-y", DoubleProperty::New(parameters.m_Translation[1])); parameters.m_ResultNode->AddProperty("Fiberfox.Motion.Translation-z", DoubleProperty::New(parameters.m_Translation[2])); parameters.m_ResultNode->AddProperty("Fiberfox.Motion.Rotation-x", DoubleProperty::New(parameters.m_Rotation[0])); parameters.m_ResultNode->AddProperty("Fiberfox.Motion.Rotation-y", DoubleProperty::New(parameters.m_Rotation[1])); parameters.m_ResultNode->AddProperty("Fiberfox.Motion.Rotation-z", DoubleProperty::New(parameters.m_Rotation[2])); } // other imaging parameters parameters.m_tLine = m_Controls->m_LineReadoutTimeBox->value(); parameters.m_tInhom = m_Controls->m_T2starBox->value(); parameters.m_tEcho = m_Controls->m_TEbox->value(); parameters.m_Repetitions = m_Controls->m_RepetitionsBox->value(); parameters.m_DoDisablePartialVolume = m_Controls->m_EnforcePureFiberVoxelsBox->isChecked(); parameters.m_AxonRadius = m_Controls->m_FiberRadius->value(); parameters.m_SignalScale = m_Controls->m_SignalScaleBox->value(); if (m_Controls->m_AddSpikes->isChecked()) { parameters.m_Spikes = m_Controls->m_SpikeNumBox->value(); parameters.m_SpikeAmplitude = m_Controls->m_SpikeScaleBox->value(); parameters.m_ArtifactModelString += "_SPIKES"; parameters.m_ResultNode->AddProperty("Fiberfox.Spikes.Number", IntProperty::New(parameters.m_Spikes)); parameters.m_ResultNode->AddProperty("Fiberfox.Spikes.Amplitude", DoubleProperty::New(parameters.m_SpikeAmplitude)); } // adjust echo time if needed if ( parameters.m_tEcho < parameters.m_ImageRegion.GetSize(1)*parameters.m_tLine ) { this->m_Controls->m_TEbox->setValue( parameters.m_ImageRegion.GetSize(1)*parameters.m_tLine ); parameters.m_tEcho = m_Controls->m_TEbox->value(); QMessageBox::information( NULL, "Warning", "Echo time is too short! Time not sufficient to read slice. Automaticall adjusted to "+QString::number(parameters.m_tEcho)+" ms"); } // rician noise if (m_Controls->m_AddNoise->isChecked()) { double noiseVariance = m_Controls->m_NoiseLevel->value(); { switch (m_Controls->m_NoiseDistributionBox->currentIndex()) { case 0: { parameters.m_NoiseModel = new mitk::RicianNoiseModel(); parameters.m_ArtifactModelString += "_RICIAN-"; parameters.m_ResultNode->AddProperty("Fiberfox.Noise-Distribution", StringProperty::New("Rician")); break; } case 1: { parameters.m_NoiseModel = new mitk::ChiSquareNoiseModel(); parameters.m_ArtifactModelString += "_CHISQUARED-"; parameters.m_ResultNode->AddProperty("Fiberfox.Noise-Distribution", StringProperty::New("Chi-squared")); break; } default: { parameters.m_NoiseModel = new mitk::RicianNoiseModel(); parameters.m_ArtifactModelString += "_RICIAN-"; parameters.m_ResultNode->AddProperty("Fiberfox.Noise-Distribution", StringProperty::New("Rician")); } } } parameters.m_NoiseModel->SetNoiseVariance(noiseVariance); parameters.m_ArtifactModelString += QString::number(noiseVariance).toStdString(); parameters.m_ResultNode->AddProperty("Fiberfox.Noise-Variance", DoubleProperty::New(noiseVariance)); } // gibbs ringing parameters.m_DoAddGibbsRinging = m_Controls->m_AddGibbsRinging->isChecked(); if (m_Controls->m_AddGibbsRinging->isChecked()) { parameters.m_ResultNode->AddProperty("Fiberfox.Ringing", BoolProperty::New(true)); parameters.m_ArtifactModelString += "_RINGING"; } // adjusting line readout time to the adapted image size needed for the DFT int y = parameters.m_ImageRegion.GetSize(1); if ( y%2 == 1 ) y += 1; if ( y>parameters.m_ImageRegion.GetSize(1) ) parameters.m_tLine *= (double)parameters.m_ImageRegion.GetSize(1)/y; // add distortions 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 (parameters.m_ImageRegion.GetSize(0)==itkImg->GetLargestPossibleRegion().GetSize(0) && parameters.m_ImageRegion.GetSize(1)==itkImg->GetLargestPossibleRegion().GetSize(1) && parameters.m_ImageRegion.GetSize(2)==itkImg->GetLargestPossibleRegion().GetSize(2)) { parameters.m_FrequencyMap = itkImg; parameters.m_ArtifactModelString += "_DISTORTED"; parameters.m_ResultNode->AddProperty("Fiberfox.Distortions", BoolProperty::New(true)); } } parameters.m_EddyStrength = 0; if (m_Controls->m_AddEddy->isChecked()) { parameters.m_EddyStrength = m_Controls->m_EddyGradientStrength->value(); parameters.m_ArtifactModelString += "_EDDY"; parameters.m_ResultNode->AddProperty("Fiberfox.Eddy-strength", DoubleProperty::New(parameters.m_EddyStrength)); } // signal models double m_Comp3Weight = 1; double m_Comp4Weight = 0; if (m_Controls->m_Compartment4Box->currentIndex()>0) { m_Comp4Weight = m_Controls->m_Comp4FractionBox->value(); m_Comp3Weight -= m_Comp4Weight; parameters.m_ResultNode->AddProperty("Fiberfox.Compartment3.weight", DoubleProperty::New(m_Comp3Weight)); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment4.weight", DoubleProperty::New(m_Comp4Weight)); } // compartment 1 switch (m_Controls->m_Compartment1Box->currentIndex()) { case 0: m_StickModel1.SetGradientList(parameters.GetGradientDirections()); m_StickModel1.SetBvalue(parameters.m_Bvalue); m_StickModel1.SetDiffusivity(m_Controls->m_StickWidget1->GetD()); m_StickModel1.SetT2(m_Controls->m_StickWidget1->GetT2()); parameters.m_FiberModelList.push_back(&m_StickModel1); parameters.m_SignalModelString += "Stick"; parameters.m_ResultNode->AddProperty("Fiberfox.Compartment1.Description", StringProperty::New("Intra-axonal compartment") ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment1.Model", StringProperty::New("Stick") ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment1.D", DoubleProperty::New(m_Controls->m_StickWidget1->GetD()) ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment1.T2", DoubleProperty::New(m_StickModel1.GetT2()) ); break; case 1: m_ZeppelinModel1.SetGradientList(parameters.GetGradientDirections()); m_ZeppelinModel1.SetBvalue(parameters.m_Bvalue); m_ZeppelinModel1.SetDiffusivity1(m_Controls->m_ZeppelinWidget1->GetD1()); m_ZeppelinModel1.SetDiffusivity2(m_Controls->m_ZeppelinWidget1->GetD2()); m_ZeppelinModel1.SetDiffusivity3(m_Controls->m_ZeppelinWidget1->GetD2()); m_ZeppelinModel1.SetT2(m_Controls->m_ZeppelinWidget1->GetT2()); parameters.m_FiberModelList.push_back(&m_ZeppelinModel1); parameters.m_SignalModelString += "Zeppelin"; parameters.m_ResultNode->AddProperty("Fiberfox.Compartment1.Description", StringProperty::New("Intra-axonal compartment") ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment1.Model", StringProperty::New("Zeppelin") ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment1.D1", DoubleProperty::New(m_Controls->m_ZeppelinWidget1->GetD1()) ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment1.D2", DoubleProperty::New(m_Controls->m_ZeppelinWidget1->GetD2()) ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment1.T2", DoubleProperty::New(m_ZeppelinModel1.GetT2()) ); break; case 2: m_TensorModel1.SetGradientList(parameters.GetGradientDirections()); m_TensorModel1.SetBvalue(parameters.m_Bvalue); m_TensorModel1.SetDiffusivity1(m_Controls->m_TensorWidget1->GetD1()); m_TensorModel1.SetDiffusivity2(m_Controls->m_TensorWidget1->GetD2()); m_TensorModel1.SetDiffusivity3(m_Controls->m_TensorWidget1->GetD3()); m_TensorModel1.SetT2(m_Controls->m_TensorWidget1->GetT2()); parameters.m_FiberModelList.push_back(&m_TensorModel1); parameters.m_SignalModelString += "Tensor"; parameters.m_ResultNode->AddProperty("Fiberfox.Compartment1.Description", StringProperty::New("Intra-axonal compartment") ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment1.Model", StringProperty::New("Tensor") ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment1.D1", DoubleProperty::New(m_Controls->m_TensorWidget1->GetD1()) ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment1.D2", DoubleProperty::New(m_Controls->m_TensorWidget1->GetD2()) ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment1.D3", DoubleProperty::New(m_Controls->m_TensorWidget1->GetD3()) ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment1.T2", DoubleProperty::New(m_ZeppelinModel1.GetT2()) ); break; } // compartment 2 switch (m_Controls->m_Compartment2Box->currentIndex()) { case 0: break; case 1: m_StickModel2.SetGradientList(parameters.GetGradientDirections()); m_StickModel2.SetBvalue(parameters.m_Bvalue); m_StickModel2.SetDiffusivity(m_Controls->m_StickWidget2->GetD()); m_StickModel2.SetT2(m_Controls->m_StickWidget2->GetT2()); parameters.m_FiberModelList.push_back(&m_StickModel2); parameters.m_SignalModelString += "Stick"; parameters.m_ResultNode->AddProperty("Fiberfox.Compartment2.Description", StringProperty::New("Inter-axonal compartment") ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment2.Model", StringProperty::New("Stick") ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment2.D", DoubleProperty::New(m_Controls->m_StickWidget2->GetD()) ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment2.T2", DoubleProperty::New(m_StickModel2.GetT2()) ); break; case 2: m_ZeppelinModel2.SetGradientList(parameters.GetGradientDirections()); m_ZeppelinModel2.SetBvalue(parameters.m_Bvalue); m_ZeppelinModel2.SetDiffusivity1(m_Controls->m_ZeppelinWidget2->GetD1()); m_ZeppelinModel2.SetDiffusivity2(m_Controls->m_ZeppelinWidget2->GetD2()); m_ZeppelinModel2.SetDiffusivity3(m_Controls->m_ZeppelinWidget2->GetD2()); m_ZeppelinModel2.SetT2(m_Controls->m_ZeppelinWidget2->GetT2()); parameters.m_FiberModelList.push_back(&m_ZeppelinModel2); parameters.m_SignalModelString += "Zeppelin"; parameters.m_ResultNode->AddProperty("Fiberfox.Compartment2.Description", StringProperty::New("Inter-axonal compartment") ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment2.Model", StringProperty::New("Zeppelin") ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment2.D1", DoubleProperty::New(m_Controls->m_ZeppelinWidget2->GetD1()) ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment2.D2", DoubleProperty::New(m_Controls->m_ZeppelinWidget2->GetD2()) ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment2.T2", DoubleProperty::New(m_ZeppelinModel2.GetT2()) ); break; case 3: m_TensorModel2.SetGradientList(parameters.GetGradientDirections()); m_TensorModel2.SetBvalue(parameters.m_Bvalue); m_TensorModel2.SetDiffusivity1(m_Controls->m_TensorWidget2->GetD1()); m_TensorModel2.SetDiffusivity2(m_Controls->m_TensorWidget2->GetD2()); m_TensorModel2.SetDiffusivity3(m_Controls->m_TensorWidget2->GetD3()); m_TensorModel2.SetT2(m_Controls->m_TensorWidget2->GetT2()); parameters.m_FiberModelList.push_back(&m_TensorModel2); parameters.m_SignalModelString += "Tensor"; parameters.m_ResultNode->AddProperty("Fiberfox.Compartment2.Description", StringProperty::New("Inter-axonal compartment") ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment2.Model", StringProperty::New("Tensor") ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment2.D1", DoubleProperty::New(m_Controls->m_TensorWidget2->GetD1()) ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment2.D2", DoubleProperty::New(m_Controls->m_TensorWidget2->GetD2()) ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment2.D3", DoubleProperty::New(m_Controls->m_TensorWidget2->GetD3()) ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment2.T2", DoubleProperty::New(m_ZeppelinModel2.GetT2()) ); break; } // compartment 3 switch (m_Controls->m_Compartment3Box->currentIndex()) { case 0: m_BallModel1.SetGradientList(parameters.GetGradientDirections()); m_BallModel1.SetBvalue(parameters.m_Bvalue); m_BallModel1.SetDiffusivity(m_Controls->m_BallWidget1->GetD()); m_BallModel1.SetT2(m_Controls->m_BallWidget1->GetT2()); m_BallModel1.SetWeight(m_Comp3Weight); parameters.m_NonFiberModelList.push_back(&m_BallModel1); parameters.m_SignalModelString += "Ball"; parameters.m_ResultNode->AddProperty("Fiberfox.Compartment3.Description", StringProperty::New("Extra-axonal compartment 1") ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment3.Model", StringProperty::New("Ball") ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment3.D", DoubleProperty::New(m_Controls->m_BallWidget1->GetD()) ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment3.T2", DoubleProperty::New(m_BallModel1.GetT2()) ); break; case 1: m_AstrosticksModel1.SetGradientList(parameters.GetGradientDirections()); m_AstrosticksModel1.SetBvalue(parameters.m_Bvalue); m_AstrosticksModel1.SetDiffusivity(m_Controls->m_AstrosticksWidget1->GetD()); m_AstrosticksModel1.SetT2(m_Controls->m_AstrosticksWidget1->GetT2()); m_AstrosticksModel1.SetRandomizeSticks(m_Controls->m_AstrosticksWidget1->GetRandomizeSticks()); m_AstrosticksModel1.SetWeight(m_Comp3Weight); parameters.m_NonFiberModelList.push_back(&m_AstrosticksModel1); parameters.m_SignalModelString += "Astrosticks"; parameters.m_ResultNode->AddProperty("Fiberfox.Compartment3.Description", StringProperty::New("Extra-axonal compartment 1") ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment3.Model", StringProperty::New("Astrosticks") ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment3.D", DoubleProperty::New(m_Controls->m_AstrosticksWidget1->GetD()) ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment3.T2", DoubleProperty::New(m_AstrosticksModel1.GetT2()) ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment3.RandomSticks", BoolProperty::New(m_Controls->m_AstrosticksWidget1->GetRandomizeSticks()) ); break; case 2: m_DotModel1.SetGradientList(parameters.GetGradientDirections()); m_DotModel1.SetT2(m_Controls->m_DotWidget1->GetT2()); m_DotModel1.SetWeight(m_Comp3Weight); parameters.m_NonFiberModelList.push_back(&m_DotModel1); parameters.m_SignalModelString += "Dot"; parameters.m_ResultNode->AddProperty("Fiberfox.Compartment3.Description", StringProperty::New("Extra-axonal compartment 1") ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment3.Model", StringProperty::New("Dot") ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment3.T2", DoubleProperty::New(m_DotModel1.GetT2()) ); break; } // compartment 4 switch (m_Controls->m_Compartment4Box->currentIndex()) { case 0: break; case 1: m_BallModel2.SetGradientList(parameters.GetGradientDirections()); m_BallModel2.SetBvalue(parameters.m_Bvalue); m_BallModel2.SetDiffusivity(m_Controls->m_BallWidget2->GetD()); m_BallModel2.SetT2(m_Controls->m_BallWidget2->GetT2()); m_BallModel2.SetWeight(m_Comp4Weight); parameters.m_NonFiberModelList.push_back(&m_BallModel2); parameters.m_SignalModelString += "Ball"; parameters.m_ResultNode->AddProperty("Fiberfox.Compartment4.Description", StringProperty::New("Extra-axonal compartment 2") ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment4.Model", StringProperty::New("Ball") ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment4.D", DoubleProperty::New(m_Controls->m_BallWidget2->GetD()) ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment4.T2", DoubleProperty::New(m_BallModel2.GetT2()) ); break; case 2: m_AstrosticksModel2.SetGradientList(parameters.GetGradientDirections()); m_AstrosticksModel2.SetBvalue(parameters.m_Bvalue); m_AstrosticksModel2.SetDiffusivity(m_Controls->m_AstrosticksWidget2->GetD()); m_AstrosticksModel2.SetT2(m_Controls->m_AstrosticksWidget2->GetT2()); m_AstrosticksModel2.SetRandomizeSticks(m_Controls->m_AstrosticksWidget2->GetRandomizeSticks()); m_AstrosticksModel2.SetWeight(m_Comp4Weight); parameters.m_NonFiberModelList.push_back(&m_AstrosticksModel2); parameters.m_SignalModelString += "Astrosticks"; parameters.m_ResultNode->AddProperty("Fiberfox.Compartment4.Description", StringProperty::New("Extra-axonal compartment 2") ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment4.Model", StringProperty::New("Astrosticks") ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment4.D", DoubleProperty::New(m_Controls->m_AstrosticksWidget2->GetD()) ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment4.T2", DoubleProperty::New(m_AstrosticksModel2.GetT2()) ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment4.RandomSticks", BoolProperty::New(m_Controls->m_AstrosticksWidget2->GetRandomizeSticks()) ); break; case 3: m_DotModel2.SetGradientList(parameters.GetGradientDirections()); m_DotModel2.SetT2(m_Controls->m_DotWidget2->GetT2()); m_DotModel2.SetWeight(m_Comp4Weight); parameters.m_NonFiberModelList.push_back(&m_DotModel2); parameters.m_SignalModelString += "Dot"; parameters.m_ResultNode->AddProperty("Fiberfox.Compartment4.Description", StringProperty::New("Extra-axonal compartment 2") ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment4.Model", StringProperty::New("Dot") ); parameters.m_ResultNode->AddProperty("Fiberfox.Compartment4.T2", DoubleProperty::New(m_DotModel2.GetT2()) ); break; } parameters.m_ResultNode->AddProperty("Fiberfox.SignalScale", IntProperty::New(parameters.m_SignalScale)); parameters.m_ResultNode->AddProperty("Fiberfox.FiberRadius", IntProperty::New(parameters.m_AxonRadius)); parameters.m_ResultNode->AddProperty("Fiberfox.Tinhom", DoubleProperty::New(parameters.m_tInhom)); parameters.m_ResultNode->AddProperty("Fiberfox.Tline", DoubleProperty::New(parameters.m_tLine)); parameters.m_ResultNode->AddProperty("Fiberfox.TE", DoubleProperty::New(parameters.m_tEcho)); parameters.m_ResultNode->AddProperty("Fiberfox.Repetitions", IntProperty::New(parameters.m_Repetitions)); parameters.m_ResultNode->AddProperty("Fiberfox.b-value", DoubleProperty::New(parameters.m_Bvalue)); parameters.m_ResultNode->AddProperty("Fiberfox.NoPartialVolume", BoolProperty::New(parameters.m_DoDisablePartialVolume)); parameters.m_ResultNode->AddProperty("Fiberfox.Relaxation", BoolProperty::New(parameters.m_DoSimulateRelaxation)); parameters.m_ResultNode->AddProperty("binary", BoolProperty::New(false)); return parameters; } void QmitkFiberfoxView::SaveParameters() { FiberfoxParameters ffParamaters = UpdateImageParameters(); QString filename = QFileDialog::getSaveFileName( 0, tr("Save Parameters"), m_ParameterFile, tr("Fiberfox Parameters (*.ffp)") ); if(filename.isEmpty() || filename.isNull()) return; if(!filename.endsWith(".ffp")) filename += ".ffp"; m_ParameterFile = filename; boost::property_tree::ptree parameters; // fiber generation parameters parameters.put("fiberfox.fibers.realtime", m_Controls->m_RealTimeFibers->isChecked()); parameters.put("fiberfox.fibers.showadvanced", m_Controls->m_AdvancedOptionsBox->isChecked()); parameters.put("fiberfox.fibers.distribution", m_Controls->m_DistributionBox->currentIndex()); parameters.put("fiberfox.fibers.variance", m_Controls->m_VarianceBox->value()); parameters.put("fiberfox.fibers.density", m_Controls->m_FiberDensityBox->value()); parameters.put("fiberfox.fibers.spline.sampling", m_Controls->m_FiberSamplingBox->value()); parameters.put("fiberfox.fibers.spline.tension", m_Controls->m_TensionBox->value()); parameters.put("fiberfox.fibers.spline.continuity", m_Controls->m_ContinuityBox->value()); parameters.put("fiberfox.fibers.spline.bias", m_Controls->m_BiasBox->value()); parameters.put("fiberfox.fibers.constantradius", m_Controls->m_ConstantRadiusBox->isChecked()); parameters.put("fiberfox.fibers.m_Rotation.x", m_Controls->m_XrotBox->value()); parameters.put("fiberfox.fibers.m_Rotation.y", m_Controls->m_YrotBox->value()); parameters.put("fiberfox.fibers.m_Rotation.z", m_Controls->m_ZrotBox->value()); parameters.put("fiberfox.fibers.m_Translation.x", m_Controls->m_XtransBox->value()); parameters.put("fiberfox.fibers.m_Translation.y", m_Controls->m_YtransBox->value()); parameters.put("fiberfox.fibers.m_Translation.z", m_Controls->m_ZtransBox->value()); parameters.put("fiberfox.fibers.scale.x", m_Controls->m_XscaleBox->value()); parameters.put("fiberfox.fibers.scale.y", m_Controls->m_YscaleBox->value()); parameters.put("fiberfox.fibers.scale.z", m_Controls->m_ZscaleBox->value()); parameters.put("fiberfox.fibers.includeFiducials", m_Controls->m_IncludeFiducials->isChecked()); parameters.put("fiberfox.fibers.includeFiducials", m_Controls->m_IncludeFiducials->isChecked()); // image generation parameters parameters.put("fiberfox.image.basic.size.x", ffParamaters.m_ImageRegion.GetSize(0)); parameters.put("fiberfox.image.basic.size.y", ffParamaters.m_ImageRegion.GetSize(1)); parameters.put("fiberfox.image.basic.size.z", ffParamaters.m_ImageRegion.GetSize(2)); parameters.put("fiberfox.image.basic.spacing.x", ffParamaters.m_ImageSpacing[0]); parameters.put("fiberfox.image.basic.spacing.y", ffParamaters.m_ImageSpacing[1]); parameters.put("fiberfox.image.basic.spacing.z", ffParamaters.m_ImageSpacing[2]); parameters.put("fiberfox.image.basic.numgradients", ffParamaters.GetNumWeightedVolumes()); parameters.put("fiberfox.image.basic.bvalue", ffParamaters.m_Bvalue); parameters.put("fiberfox.image.showadvanced", m_Controls->m_AdvancedOptionsBox_2->isChecked()); parameters.put("fiberfox.image.repetitions", ffParamaters.m_Repetitions); parameters.put("fiberfox.image.signalScale", ffParamaters.m_SignalScale); parameters.put("fiberfox.image.tEcho", ffParamaters.m_tEcho); parameters.put("fiberfox.image.tLine", m_Controls->m_LineReadoutTimeBox->value()); parameters.put("fiberfox.image.tInhom", ffParamaters.m_tInhom); parameters.put("fiberfox.image.axonRadius", ffParamaters.m_AxonRadius); parameters.put("fiberfox.image.doSimulateRelaxation", ffParamaters.m_DoSimulateRelaxation); parameters.put("fiberfox.image.doDisablePartialVolume", ffParamaters.m_DoDisablePartialVolume); parameters.put("fiberfox.image.outputvolumefractions", m_Controls->m_VolumeFractionsBox->isChecked()); parameters.put("fiberfox.image.artifacts.addnoise", m_Controls->m_AddNoise->isChecked()); parameters.put("fiberfox.image.artifacts.noisedistribution", m_Controls->m_NoiseDistributionBox->currentIndex()); parameters.put("fiberfox.image.artifacts.noisevariance", m_Controls->m_NoiseLevel->value()); parameters.put("fiberfox.image.artifacts.addghost", m_Controls->m_AddGhosts->isChecked()); parameters.put("fiberfox.image.artifacts.m_KspaceLineOffset", m_Controls->m_kOffsetBox->value()); parameters.put("fiberfox.image.artifacts.distortions", m_Controls->m_AddDistortions->isChecked()); parameters.put("fiberfox.image.artifacts.addeddy", m_Controls->m_AddEddy->isChecked()); parameters.put("fiberfox.image.artifacts.m_EddyStrength", m_Controls->m_EddyGradientStrength->value()); parameters.put("fiberfox.image.artifacts.addringing", m_Controls->m_AddGibbsRinging->isChecked()); parameters.put("fiberfox.image.artifacts.addspikes", m_Controls->m_AddSpikes->isChecked()); parameters.put("fiberfox.image.artifacts.m_Spikesnum", m_Controls->m_SpikeNumBox->value()); parameters.put("fiberfox.image.artifacts.m_Spikesscale", m_Controls->m_SpikeScaleBox->value()); parameters.put("fiberfox.image.artifacts.addaliasing", m_Controls->m_AddAliasing->isChecked()); parameters.put("fiberfox.image.artifacts.aliasingfactor", m_Controls->m_WrapBox->value()); parameters.put("fiberfox.image.artifacts.m_DoAddMotion", m_Controls->m_AddMotion->isChecked()); parameters.put("fiberfox.image.artifacts.m_RandomMotion", m_Controls->m_RandomMotion->isChecked()); parameters.put("fiberfox.image.artifacts.m_Translation0", m_Controls->m_MaxTranslationBoxX->value()); parameters.put("fiberfox.image.artifacts.m_Translation1", m_Controls->m_MaxTranslationBoxY->value()); parameters.put("fiberfox.image.artifacts.m_Translation2", m_Controls->m_MaxTranslationBoxZ->value()); parameters.put("fiberfox.image.artifacts.m_Rotation0", m_Controls->m_MaxRotationBoxX->value()); parameters.put("fiberfox.image.artifacts.m_Rotation1", m_Controls->m_MaxRotationBoxY->value()); parameters.put("fiberfox.image.artifacts.m_Rotation2", m_Controls->m_MaxRotationBoxZ->value()); parameters.put("fiberfox.image.compartment1.index", m_Controls->m_Compartment1Box->currentIndex()); parameters.put("fiberfox.image.compartment2.index", m_Controls->m_Compartment2Box->currentIndex()); parameters.put("fiberfox.image.compartment3.index", m_Controls->m_Compartment3Box->currentIndex()); parameters.put("fiberfox.image.compartment4.index", m_Controls->m_Compartment4Box->currentIndex()); parameters.put("fiberfox.image.compartment1.stick.d", m_Controls->m_StickWidget1->GetD()); parameters.put("fiberfox.image.compartment1.stick.t2", m_Controls->m_StickWidget1->GetT2()); parameters.put("fiberfox.image.compartment1.zeppelin.d1", m_Controls->m_ZeppelinWidget1->GetD1()); parameters.put("fiberfox.image.compartment1.zeppelin.d2", m_Controls->m_ZeppelinWidget1->GetD2()); parameters.put("fiberfox.image.compartment1.zeppelin.t2", m_Controls->m_ZeppelinWidget1->GetT2()); parameters.put("fiberfox.image.compartment1.tensor.d1", m_Controls->m_TensorWidget1->GetD1()); parameters.put("fiberfox.image.compartment1.tensor.d2", m_Controls->m_TensorWidget1->GetD2()); parameters.put("fiberfox.image.compartment1.tensor.d3", m_Controls->m_TensorWidget1->GetD3()); parameters.put("fiberfox.image.compartment1.tensor.t2", m_Controls->m_TensorWidget1->GetT2()); parameters.put("fiberfox.image.compartment2.stick.d", m_Controls->m_StickWidget2->GetD()); parameters.put("fiberfox.image.compartment2.stick.t2", m_Controls->m_StickWidget2->GetT2()); parameters.put("fiberfox.image.compartment2.zeppelin.d1", m_Controls->m_ZeppelinWidget2->GetD1()); parameters.put("fiberfox.image.compartment2.zeppelin.d2", m_Controls->m_ZeppelinWidget2->GetD2()); parameters.put("fiberfox.image.compartment2.zeppelin.t2", m_Controls->m_ZeppelinWidget2->GetT2()); parameters.put("fiberfox.image.compartment2.tensor.d1", m_Controls->m_TensorWidget2->GetD1()); parameters.put("fiberfox.image.compartment2.tensor.d2", m_Controls->m_TensorWidget2->GetD2()); parameters.put("fiberfox.image.compartment2.tensor.d3", m_Controls->m_TensorWidget2->GetD3()); parameters.put("fiberfox.image.compartment2.tensor.t2", m_Controls->m_TensorWidget2->GetT2()); parameters.put("fiberfox.image.compartment3.ball.d", m_Controls->m_BallWidget1->GetD()); parameters.put("fiberfox.image.compartment3.ball.t2", m_Controls->m_BallWidget1->GetT2()); parameters.put("fiberfox.image.compartment3.astrosticks.d", m_Controls->m_AstrosticksWidget1->GetD()); parameters.put("fiberfox.image.compartment3.astrosticks.t2", m_Controls->m_AstrosticksWidget1->GetT2()); parameters.put("fiberfox.image.compartment3.astrosticks.randomize", m_Controls->m_AstrosticksWidget1->GetRandomizeSticks()); parameters.put("fiberfox.image.compartment3.dot.t2", m_Controls->m_DotWidget1->GetT2()); parameters.put("fiberfox.image.compartment4.ball.d", m_Controls->m_BallWidget2->GetD()); parameters.put("fiberfox.image.compartment4.ball.t2", m_Controls->m_BallWidget2->GetT2()); parameters.put("fiberfox.image.compartment4.astrosticks.d", m_Controls->m_AstrosticksWidget2->GetD()); parameters.put("fiberfox.image.compartment4.astrosticks.t2", m_Controls->m_AstrosticksWidget2->GetT2()); parameters.put("fiberfox.image.compartment4.astrosticks.randomize", m_Controls->m_AstrosticksWidget2->GetRandomizeSticks()); parameters.put("fiberfox.image.compartment4.dot.t2", m_Controls->m_DotWidget2->GetT2()); parameters.put("fiberfox.image.compartment4.weight", m_Controls->m_Comp4FractionBox->value()); boost::property_tree::xml_parser::write_xml(filename.toStdString(), parameters); } 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; boost::property_tree::ptree parameters; boost::property_tree::xml_parser::read_xml(filename.toStdString(), parameters); BOOST_FOREACH( boost::property_tree::ptree::value_type const& v1, parameters.get_child("fiberfox") ) { if( v1.first == "fibers" ) { m_Controls->m_RealTimeFibers->setChecked(v1.second.get("realtime")); m_Controls->m_AdvancedOptionsBox->setChecked(v1.second.get("showadvanced")); m_Controls->m_DistributionBox->setCurrentIndex(v1.second.get("distribution")); m_Controls->m_VarianceBox->setValue(v1.second.get("variance")); m_Controls->m_FiberDensityBox->setValue(v1.second.get("density")); m_Controls->m_IncludeFiducials->setChecked(v1.second.get("includeFiducials")); m_Controls->m_ConstantRadiusBox->setChecked(v1.second.get("constantradius")); BOOST_FOREACH( boost::property_tree::ptree::value_type const& v2, v1.second ) { if( v2.first == "spline" ) { m_Controls->m_FiberSamplingBox->setValue(v2.second.get("sampling")); m_Controls->m_TensionBox->setValue(v2.second.get("tension")); m_Controls->m_ContinuityBox->setValue(v2.second.get("continuity")); m_Controls->m_BiasBox->setValue(v2.second.get("bias")); } if( v2.first == "rotation" ) { m_Controls->m_XrotBox->setValue(v2.second.get("x")); m_Controls->m_YrotBox->setValue(v2.second.get("y")); m_Controls->m_ZrotBox->setValue(v2.second.get("z")); } if( v2.first == "translation" ) { m_Controls->m_XtransBox->setValue(v2.second.get("x")); m_Controls->m_YtransBox->setValue(v2.second.get("y")); m_Controls->m_ZtransBox->setValue(v2.second.get("z")); } if( v2.first == "scale" ) { m_Controls->m_XscaleBox->setValue(v2.second.get("x")); m_Controls->m_YscaleBox->setValue(v2.second.get("y")); m_Controls->m_ZscaleBox->setValue(v2.second.get("z")); } } } if( v1.first == "image" ) { m_Controls->m_SizeX->setValue(v1.second.get("basic.size.x")); m_Controls->m_SizeY->setValue(v1.second.get("basic.size.y")); m_Controls->m_SizeZ->setValue(v1.second.get("basic.size.z")); m_Controls->m_SpacingX->setValue(v1.second.get("basic.spacing.x")); m_Controls->m_SpacingY->setValue(v1.second.get("basic.spacing.y")); m_Controls->m_SpacingZ->setValue(v1.second.get("basic.spacing.z")); m_Controls->m_NumGradientsBox->setValue(v1.second.get("basic.numgradients")); m_Controls->m_BvalueBox->setValue(v1.second.get("basic.bvalue")); m_Controls->m_AdvancedOptionsBox_2->setChecked(v1.second.get("showadvanced")); m_Controls->m_RepetitionsBox->setValue(v1.second.get("repetitions")); m_Controls->m_SignalScaleBox->setValue(v1.second.get("signalScale")); m_Controls->m_TEbox->setValue(v1.second.get("tEcho")); m_Controls->m_LineReadoutTimeBox->setValue(v1.second.get("tLine")); m_Controls->m_T2starBox->setValue(v1.second.get("tInhom")); m_Controls->m_FiberRadius->setValue(v1.second.get("axonRadius")); m_Controls->m_RelaxationBox->setChecked(v1.second.get("doSimulateRelaxation")); m_Controls->m_EnforcePureFiberVoxelsBox->setChecked(v1.second.get("doDisablePartialVolume")); m_Controls->m_VolumeFractionsBox->setChecked(v1.second.get("outputvolumefractions")); m_Controls->m_AddNoise->setChecked(v1.second.get("artifacts.addnoise")); m_Controls->m_NoiseDistributionBox->setCurrentIndex(v1.second.get("artifacts.noisedistribution")); m_Controls->m_NoiseLevel->setValue(v1.second.get("artifacts.noisevariance")); m_Controls->m_AddGhosts->setChecked(v1.second.get("artifacts.addghost")); m_Controls->m_kOffsetBox->setValue(v1.second.get("artifacts.m_KspaceLineOffset")); m_Controls->m_AddAliasing->setChecked(v1.second.get("artifacts.addaliasing")); m_Controls->m_WrapBox->setValue(v1.second.get("artifacts.aliasingfactor")); m_Controls->m_AddDistortions->setChecked(v1.second.get("artifacts.distortions")); m_Controls->m_AddSpikes->setChecked(v1.second.get("artifacts.addspikes")); m_Controls->m_SpikeNumBox->setValue(v1.second.get("artifacts.m_Spikesnum")); m_Controls->m_SpikeScaleBox->setValue(v1.second.get("artifacts.m_Spikesscale")); m_Controls->m_AddEddy->setChecked(v1.second.get("artifacts.addeddy")); m_Controls->m_EddyGradientStrength->setValue(v1.second.get("artifacts.m_EddyStrength")); m_Controls->m_AddGibbsRinging->setChecked(v1.second.get("artifacts.addringing")); m_Controls->m_AddMotion->setChecked(v1.second.get("artifacts.m_DoAddMotion")); m_Controls->m_RandomMotion->setChecked(v1.second.get("artifacts.m_RandomMotion")); m_Controls->m_MaxTranslationBoxX->setValue(v1.second.get("artifacts.m_Translation0")); m_Controls->m_MaxTranslationBoxY->setValue(v1.second.get("artifacts.m_Translation1")); m_Controls->m_MaxTranslationBoxZ->setValue(v1.second.get("artifacts.m_Translation2")); m_Controls->m_MaxRotationBoxX->setValue(v1.second.get("artifacts.m_Rotation0")); m_Controls->m_MaxRotationBoxY->setValue(v1.second.get("artifacts.m_Rotation1")); m_Controls->m_MaxRotationBoxZ->setValue(v1.second.get("artifacts.m_Rotation2")); m_Controls->m_Compartment1Box->setCurrentIndex(v1.second.get("compartment1.index")); m_Controls->m_Compartment2Box->setCurrentIndex(v1.second.get("compartment2.index")); m_Controls->m_Compartment3Box->setCurrentIndex(v1.second.get("compartment3.index")); m_Controls->m_Compartment4Box->setCurrentIndex(v1.second.get("compartment4.index")); m_Controls->m_StickWidget1->SetD(v1.second.get("compartment1.stick.d")); m_Controls->m_StickWidget1->SetT2(v1.second.get("compartment1.stick.t2")); m_Controls->m_ZeppelinWidget1->SetD1(v1.second.get("compartment1.zeppelin.d1")); m_Controls->m_ZeppelinWidget1->SetD2(v1.second.get("compartment1.zeppelin.d2")); m_Controls->m_ZeppelinWidget1->SetT2(v1.second.get("compartment1.zeppelin.t2")); m_Controls->m_TensorWidget1->SetD1(v1.second.get("compartment1.tensor.d1")); m_Controls->m_TensorWidget1->SetD2(v1.second.get("compartment1.tensor.d2")); m_Controls->m_TensorWidget1->SetD3(v1.second.get("compartment1.tensor.d3")); m_Controls->m_TensorWidget1->SetT2(v1.second.get("compartment1.tensor.t2")); m_Controls->m_StickWidget2->SetD(v1.second.get("compartment2.stick.d")); m_Controls->m_StickWidget2->SetT2(v1.second.get("compartment2.stick.t2")); m_Controls->m_ZeppelinWidget2->SetD1(v1.second.get("compartment2.zeppelin.d1")); m_Controls->m_ZeppelinWidget2->SetD2(v1.second.get("compartment2.zeppelin.d2")); m_Controls->m_ZeppelinWidget2->SetT2(v1.second.get("compartment2.zeppelin.t2")); m_Controls->m_TensorWidget2->SetD1(v1.second.get("compartment2.tensor.d1")); m_Controls->m_TensorWidget2->SetD2(v1.second.get("compartment2.tensor.d2")); m_Controls->m_TensorWidget2->SetD3(v1.second.get("compartment2.tensor.d3")); m_Controls->m_TensorWidget2->SetT2(v1.second.get("compartment2.tensor.t2")); m_Controls->m_BallWidget1->SetD(v1.second.get("compartment3.ball.d")); m_Controls->m_BallWidget1->SetT2(v1.second.get("compartment3.ball.t2")); m_Controls->m_AstrosticksWidget1->SetD(v1.second.get("compartment3.astrosticks.d")); m_Controls->m_AstrosticksWidget1->SetT2(v1.second.get("compartment3.astrosticks.t2")); m_Controls->m_AstrosticksWidget1->SetRandomizeSticks(v1.second.get("compartment3.astrosticks.randomize")); m_Controls->m_DotWidget1->SetT2(v1.second.get("compartment3.dot.t2")); m_Controls->m_BallWidget2->SetD(v1.second.get("compartment4.ball.d")); m_Controls->m_BallWidget2->SetT2(v1.second.get("compartment4.ball.t2")); m_Controls->m_AstrosticksWidget2->SetD(v1.second.get("compartment4.astrosticks.d")); m_Controls->m_AstrosticksWidget2->SetT2(v1.second.get("compartment4.astrosticks.t2")); m_Controls->m_AstrosticksWidget2->SetRandomizeSticks(v1.second.get("compartment4.astrosticks.randomize")); m_Controls->m_DotWidget2->SetT2(v1.second.get("compartment4.dot.t2")); m_Controls->m_Comp4FractionBox->setValue(v1.second.get("compartment4.weight")); } } } 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); 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; } } void QmitkFiberfoxView::Comp2ModelFrameVisibility(int index) { m_Controls->m_StickWidget2->setVisible(false); m_Controls->m_ZeppelinWidget2->setVisible(false); m_Controls->m_TensorWidget2->setVisible(false); switch (index) { case 0: break; case 1: m_Controls->m_StickWidget2->setVisible(true); break; case 2: m_Controls->m_ZeppelinWidget2->setVisible(true); break; case 3: m_Controls->m_TensorWidget2->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); 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; } } 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_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; } } 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 value) { if (m_Controls->m_RealTimeFibers->isChecked()) GenerateFibers(); } void QmitkFiberfoxView::OnFiberDensityChanged(int value) { if (m_Controls->m_RealTimeFibers->isChecked()) GenerateFibers(); } void QmitkFiberfoxView::OnFiberSamplingChanged(double value) { if (m_Controls->m_RealTimeFibers->isChecked()) GenerateFibers(); } void QmitkFiberfoxView::OnTensionChanged(double value) { if (m_Controls->m_RealTimeFibers->isChecked()) GenerateFibers(); } void QmitkFiberfoxView::OnContinuityChanged(double value) { if (m_Controls->m_RealTimeFibers->isChecked()) GenerateFibers(); } void QmitkFiberfoxView::OnBiasChanged(double value) { if (m_Controls->m_RealTimeFibers->isChecked()) GenerateFibers(); } void QmitkFiberfoxView::AlignOnGrid() { for (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::Geometry3D::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( 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::Geometry3D::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( 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::Geometry3D::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_SelectedImage.IsNull()) return; mitk::DataStorage::SetOfObjects::ConstPointer children = GetDataStorage()->GetDerivations(m_SelectedImage); mitk::FiberBundleX::Pointer bundle = mitk::FiberBundleX::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_SelectedImage); } 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 ); 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( "PlanarFigure" ); 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; } vector< vector< mitk::PlanarEllipse::Pointer > > fiducials; vector< vector< unsigned int > > fliplist; for (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); } else { v.Normalize(); v *= radius; ellipse->SetControlPoint(1, c+v); } } 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) { fiducials.push_back(fib); fliplist.push_back(flip); } else if (fib.size()>0) m_SelectedBundles.at(i)->SetData( mitk::FiberBundleX::New() ); mitk::RenderingManager::GetInstance()->RequestUpdateAll(); } itk::FibersFromPlanarFiguresFilter::Pointer filter = itk::FibersFromPlanarFiguresFilter::New(); filter->SetFiducials(fiducials); filter->SetFlipList(fliplist); switch(m_Controls->m_DistributionBox->currentIndex()){ case 0: filter->SetFiberDistribution(itk::FibersFromPlanarFiguresFilter::DISTRIBUTE_UNIFORM); break; case 1: filter->SetFiberDistribution(itk::FibersFromPlanarFiguresFilter::DISTRIBUTE_GAUSSIAN); filter->SetVariance(m_Controls->m_VarianceBox->value()); break; } filter->SetDensity(m_Controls->m_FiberDensityBox->value()); filter->SetTension(m_Controls->m_TensionBox->value()); filter->SetContinuity(m_Controls->m_ContinuityBox->value()); filter->SetBias(m_Controls->m_BiasBox->value()); filter->SetFiberSampling(m_Controls->m_FiberSamplingBox->value()); filter->Update(); vector< mitk::FiberBundleX::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_SelectedBundles.empty() && m_SelectedDWI.IsNull()) { 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_SelectedImage = node; mitk::BaseData::Pointer basedata = node->GetData(); if (basedata.IsNotNull()) { mitk::RenderingManager::GetInstance()->InitializeViews( basedata->GetTimeSlicedGeometry(), mitk::RenderingManager::REQUEST_UPDATE_ALL, true ); mitk::RenderingManager::GetInstance()->RequestUpdateAll(); } UpdateGui(); } else if (!m_SelectedBundles.empty()) SimulateImageFromFibers(m_SelectedBundles.at(0)); else if (m_SelectedDWI.IsNotNull()) SimulateForExistingDwi(m_SelectedDWI); } void QmitkFiberfoxView::SimulateForExistingDwi(mitk::DataNode* imageNode) { if (!dynamic_cast*>(imageNode->GetData())) return; FiberfoxParameters parameters = UpdateImageParameters(); if (parameters.m_NoiseModel==NULL && parameters.m_Spikes==0 && parameters.m_FrequencyMap.IsNull() && parameters.m_KspaceLineOffset<=0.000001 && !parameters.m_DoAddGibbsRinging && !(parameters.m_EddyStrength>0) && - parameters.m_Wrap>0.999) + parameters.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::DiffusionImage::Pointer diffImg = dynamic_cast*>(imageNode->GetData()); m_ArtifactsToDwiFilter = itk::AddArtifactsToDwiImageFilter< short >::New(); m_ArtifactsToDwiFilter->SetInput(diffImg->GetVectorImage()); parameters.m_ParentNode = imageNode; m_ArtifactsToDwiFilter->SetParameters(parameters); m_Worker.m_FilterType = 1; m_Thread.start(QThread::LowestPriority); } void QmitkFiberfoxView::SimulateImageFromFibers(mitk::DataNode* fiberNode) { mitk::FiberBundleX::Pointer fiberBundle = dynamic_cast(fiberNode->GetData()); if (fiberBundle->GetNumFibers()<=0) return; FiberfoxParameters parameters = UpdateImageParameters(); m_TractsToDwiFilter = itk::TractsToDWIImageFilter< short >::New(); parameters.m_ParentNode = fiberNode; 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( 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()) { std::vector::const_iterator it = selectedBundles.begin(); for (it; it!=selectedBundles.end(); ++it) { mitk::FiberBundleX::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::Geometry3D* 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); } } } } } else { for (int i=0; i(m_SelectedFiducials.at(i)->GetData()); mitk::Geometry3D* 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()); } 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("QmitkFiberProcessingView") << "Select at least one fiber bundle!"; return; } std::vector::const_iterator it = m_SelectedBundles.begin(); for (it; 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::FiberBundleX::Pointer fib = dynamic_cast((*it)->GetData()); mitk::FiberBundleX::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 = mitk::PlanarEllipse::New(); pe->DeepCopy(dynamic_cast(fiducialNode->GetData())); mitk::DataNode::Pointer newNode = mitk::DataNode::New(); newNode->SetData(pe); newNode->SetName(fiducialNode->GetName()); 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("QmitkFiberProcessingView") << "Select at least two fiber bundles!"; return; } std::vector::const_iterator it = m_SelectedBundles.begin(); mitk::FiberBundleX::Pointer newBundle = dynamic_cast((*it)->GetData()); QString name(""); name += QString((*it)->GetName().c_str()); ++it; for (it; 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_FiberBundleLabel->setText("mandatory"); 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); if (m_SelectedFiducial.IsNotNull()) { m_Controls->m_TransformBundlesButton->setEnabled(true); m_Controls->m_FlipButton->setEnabled(true); m_Controls->m_AlignOnGrid->setEnabled(true); } if (m_SelectedImage.IsNotNull() || !m_SelectedBundles.empty()) { m_Controls->m_TransformBundlesButton->setEnabled(true); m_Controls->m_CircleButton->setEnabled(true); m_Controls->m_FiberGenMessage->setVisible(false); m_Controls->m_AlignOnGrid->setEnabled(true); } if (m_ItkMaskImage.IsNotNull() || m_SelectedImage.IsNotNull()) { m_Controls->m_GeometryMessage->setVisible(true); m_Controls->m_GeometryFrame->setEnabled(false); } if (m_SelectedDWI.IsNotNull()) { 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); } if (!m_SelectedBundles.empty()) { m_Controls->m_CopyBundlesButton->setEnabled(true); m_Controls->m_GenerateFibersButton->setEnabled(true); m_Controls->m_FiberBundleLabel->setText(m_SelectedBundles.at(0)->GetName().c_str()); if (m_SelectedBundles.size()>1) m_Controls->m_JoinBundlesButton->setEnabled(true); } } 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_SelectedImage = NULL; m_SelectedDWI = NULL; m_ItkMaskImage = NULL; m_Controls->m_TissueMaskLabel->setText("optional"); // iterate all selected objects, adjust warning visibility for( int i=0; i*>(node->GetData()) ) { m_SelectedDWI = node; m_SelectedImage = node; m_SelectedImages.push_back(node); } else if( node.IsNotNull() && dynamic_cast(node->GetData()) ) { m_SelectedImages.push_back(node); m_SelectedImage = node; mitk::Image::Pointer image = dynamic_cast(node->GetData()); bool isbinary = false; node->GetPropertyValue("binary", isbinary); if (isbinary) { mitk::CastToItkImage(image, m_ItkMaskImage); m_Controls->m_TissueMaskLabel->setText(node->GetName().c_str()); } } 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::FiberBundleX::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( "PlanarFigure" ); 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 m_OutputPath = QFileDialog::getExistingDirectory(NULL, "Save images to...", QString(m_OutputPath.c_str())).toStdString(); if (m_OutputPath.empty()) m_Controls->m_SavePathEdit->setText("-"); else { m_OutputPath += "/"; m_Controls->m_SavePathEdit->setText(QString(m_OutputPath.c_str())); } } diff --git a/Plugins/org.mitk.gui.qt.diffusionimaging/src/internal/QmitkFieldmapGeneratorView.h b/Plugins/org.mitk.gui.qt.diffusionimaging/src/internal/QmitkFieldmapGeneratorView.h index 2e816b301b..085c639d9f 100644 --- a/Plugins/org.mitk.gui.qt.diffusionimaging/src/internal/QmitkFieldmapGeneratorView.h +++ b/Plugins/org.mitk.gui.qt.diffusionimaging/src/internal/QmitkFieldmapGeneratorView.h @@ -1,82 +1,82 @@ /*=================================================================== 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 _QMITKQmitkFieldmapGeneratorView_H_INCLUDED #define _QMITKQmitkFieldmapGeneratorView_H_INCLUDED #include #include #include "ui_QmitkFieldmapGeneratorViewControls.h" #include #include /*! \brief Generate float image with artificial frequency maps used by Fiberfox. Simulates additional frequencies at (possibly multiple) positions based on 3D gaussians with the specified variance and amplitude and/or as a linear gradient in the image. -* See "Fiberfox: Facilitating the creation of realistic white matter software phantoms" (DOI: 10.1002/mrm.25045) for details.. +* See "Fiberfox: Facilitating the creation of realistic white matter software phantoms" (DOI: 10.1002/mrm.25045) for details. \sa QmitkFunctionality \ingroup Functionalities */ class QmitkFieldmapGeneratorView : public QmitkFunctionality { // this is needed for all Qt objects that should have a Qt meta-object // (everything that derives from QObject and wants to have signal/slots) Q_OBJECT public: static const std::string VIEW_ID; QmitkFieldmapGeneratorView(); virtual ~QmitkFieldmapGeneratorView(); virtual void CreateQtPartControl(QWidget *parent); virtual void StdMultiWidgetAvailable (QmitkStdMultiWidget &stdMultiWidget); virtual void StdMultiWidgetNotAvailable(); void OnSliceChanged(const itk::EventObject& e); protected slots: void GenerateFieldmap(); void PlaceFieldSource(); void OnVarianceChanged(double value); void OnHeightChanged(double value); protected: /// \brief called by QmitkFunctionality when DataManager's selection has changed virtual void OnSelectionChanged( std::vector nodes ); Ui::QmitkFieldmapGeneratorViewControls* m_Controls; QmitkStdMultiWidget* m_MultiWidget; /** observer flags */ int m_SliceObserverTag1; int m_SliceObserverTag2; int m_SliceObserverTag3; int m_PropertyObserverTag; mitk::Point3D m_WorldPoint; mitk::DataNode::Pointer m_SelectedSource; }; #endif // _QmitkFieldmapGeneratorView_H_INCLUDED