diff --git a/Modules/DiffusionImaging/FiberTracking/Algorithms/itkTractsToDWIImageFilter.cpp b/Modules/DiffusionImaging/FiberTracking/Algorithms/itkTractsToDWIImageFilter.cpp
index 8951c8353c..ed12ca35d6 100755
--- a/Modules/DiffusionImaging/FiberTracking/Algorithms/itkTractsToDWIImageFilter.cpp
+++ b/Modules/DiffusionImaging/FiberTracking/Algorithms/itkTractsToDWIImageFilter.cpp
@@ -1,894 +1,899 @@
 /*===================================================================
 
 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 <boost/progress.hpp>
 #include <vtkSmartPointer.h>
 #include <vtkPolyData.h>
 #include <vtkCellArray.h>
 #include <vtkPoints.h>
 #include <vtkPolyLine.h>
 #include <itkImageRegionIteratorWithIndex.h>
 #include <itkResampleImageFilter.h>
 #include <itkNearestNeighborInterpolateImageFunction.h>
 #include <itkBSplineInterpolateImageFunction.h>
 #include <itkCastImageFilter.h>
 #include <itkImageFileWriter.h>
 #include <itkRescaleIntensityImageFilter.h>
 #include <itkWindowedSincInterpolateImageFunction.h>
 #include <itkResampleDwiImageFilter.h>
 #include <itkKspaceImageFilter.h>
 #include <itkDftImageFilter.h>
 #include <itkAddImageFilter.h>
 #include <itkConstantPadImageFilter.h>
 #include <itkCropImageFilter.h>
 #include <mitkAstroStickModel.h>
 #include <vtkTransform.h>
 #include <iostream>
 #include <fstream>
 #include <itkImageDuplicator.h>
 #include <itksys/SystemTools.hxx>
 #include <mitkIOUtil.h>
 #include <boost/lexical_cast.hpp>
 
 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();
 
     std::vector< unsigned int > spikeVolume;
     for (unsigned int i=0; i<m_Parameters.m_Spikes; i++)
         spikeVolume.push_back(m_RandGen->GetIntegerVariate()%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; g<images.at(0)->GetVectorLength(); g++)
     {
         std::vector< unsigned int > spikeSlice;
         while (!spikeVolume.empty() && spikeVolume.back()==g)
         {
             spikeSlice.push_back(m_RandGen->GetIntegerVariate()%images.at(0)->GetLargestPossibleRegion().GetSize(2));
             spikeVolume.pop_back();
         }
         std::sort (spikeSlice.begin(), spikeSlice.end());
         std::reverse (spikeSlice.begin(), spikeSlice.end());
 
         for (unsigned int z=0; z<images.at(0)->GetLargestPossibleRegion().GetSize(2); z++)
         {
             std::vector< SliceType::Pointer > compartmentSlices;
             std::vector< double > t2Vector;
 
             for (unsigned int i=0; i<images.size(); i++)
             {
                 DiffusionSignalModel<double>* signalModel;
                 if (i<m_Parameters.m_FiberModelList.size())
                     signalModel = m_Parameters.m_FiberModelList.at(i);
                 else
                     signalModel = m_Parameters.m_NonFiberModelList.at(i-m_Parameters.m_FiberModelList.size());
 
                 SliceType::Pointer slice = SliceType::New();
                 slice->SetLargestPossibleRegion( 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; y<images.at(0)->GetLargestPossibleRegion().GetSize(1); y++)
                     for (unsigned int x=0; x<images.at(0)->GetLargestPossibleRegion().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->SetParameters(m_Parameters);
             idft->SetZ((double)z-(double)images.at(0)->GetLargestPossibleRegion().GetSize(2)/2.0);
             idft->SetDiffusionGradientDirection(m_Parameters.GetGradientDirection(g));
             idft->SetFrequencyMapSlice(fMapSlice);
             idft->SetOutSize(outSize);
             int numSpikes = 0;
             while (!spikeSlice.empty() && spikeSlice.back()==z)
             {
                 numSpikes++;
                 spikeSlice.pop_back();
             }
             idft->SetSpikesPerSlice(numSpikes);
             idft->Update();
 
             ComplexSliceType::Pointer fSlice;
             fSlice = idft->GetOutput();
 
             ++disp;
             unsigned long newTick = 50*disp.count()/disp.expected_count();
             for (unsigned  long 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; y<fSlice->GetLargestPossibleRegion().GetSize(1); y++)
                 for (unsigned int x=0; x<fSlice->GetLargestPossibleRegion().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 (unsigned long tick = 0; tick<(newTick-lastTick); tick++)
                 m_StatusText += "*";
             lastTick = newTick;
         }
     }
     m_StatusText += "\n\n";
     return newImage;
 }
 
 template< class PixelType >
 void TractsToDWIImageFilter< PixelType >::GenerateData()
 {
     m_TimeProbe.Start();
     m_StatusText = "Starting simulation\n";
 
     // check input data
     if (m_FiberBundle.IsNull())
         itkExceptionMacro("Input fiber bundle is NULL!");
 
     if (m_Parameters.m_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_CroppingFactor);
     itk::Point<double,3> 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<ItkDoubleImgType, ItkDoubleImgType>::Pointer zeroPadder = itk::ConstantPadImageFilter<ItkDoubleImgType, ItkDoubleImgType>::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<ItkUcharImgType, ItkUcharImgType>::Pointer zeroPadder = itk::ConstantPadImageFilter<ItkUcharImgType, ItkUcharImgType>::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; i<m_Parameters.m_FiberModelList.size()+m_Parameters.m_NonFiberModelList.size(); i++)
     {
         DoubleDwiType::Pointer doubleDwi = DoubleDwiType::New();
         doubleDwi->SetSpacing( 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; i<m_Parameters.m_FiberModelList.size()+m_Parameters.m_NonFiberModelList.size(); i++)
     {
         ItkDoubleImgType::Pointer doubleImg = ItkDoubleImgType::New();
         doubleImg->SetSpacing( 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<ItkUcharImgType,ItkUcharImgType>::Pointer rescaler = itk::RescaleIntensityImageFilter<ItkUcharImgType,ItkUcharImgType>::New();
             rescaler->SetInput(0,m_Parameters.m_MaskImage);
             rescaler->SetOutputMaximum(100);
             rescaler->SetOutputMinimum(0);
             rescaler->Update();
 
             // resample mask image
             itk::ResampleImageFilter<ItkUcharImgType, ItkUcharImgType>::Pointer resampler = itk::ResampleImageFilter<ItkUcharImgType, ItkUcharImgType>::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<ItkDoubleImgType, ItkDoubleImgType>::Pointer resampler = itk::ResampleImageFilter<ItkDoubleImgType, ItkDoubleImgType>::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]<m_UpsampledSpacing[1] && m_UpsampledSpacing[0]<m_UpsampledSpacing[2])
         minSpacing = m_UpsampledSpacing[0];
     else if (m_UpsampledSpacing[1] < m_UpsampledSpacing[2])
         minSpacing = m_UpsampledSpacing[1];
     else
         minSpacing = m_UpsampledSpacing[2];
     FiberBundleType fiberBundle = m_FiberBundle->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];
 
     ofstream logFile;
     if (m_Parameters.m_DoAddMotion)
     {
         std::string fileName = "fiberfox_motion_0.log";
         int c = 1;
         while (itksys::SystemTools::FileExists(mitk::IOUtil::GetTempPath().append(fileName).c_str()))
         {
             fileName = "fiberfox_motion_";
             fileName += boost::lexical_cast<std::string>(c);
             fileName += ".log";
             c++;
         }
 
         logFile.open(mitk::IOUtil::GetTempPath().append(fileName).c_str());
         logFile << "0 rotation: 0,0,0; translation: 0,0,0\n";
 
         if (m_Parameters.m_DoRandomizeMotion)
         {
             m_StatusText += "Adding random motion artifacts:\n";
             m_StatusText += "Maximum rotation: +/-" + boost::lexical_cast<std::string>(m_Parameters.m_Rotation) + "°\n";
             m_StatusText += "Maximum translation: +/-" + boost::lexical_cast<std::string>(m_Parameters.m_Translation) + "mm\n";
         }
         else
         {
             m_StatusText += "Adding linear motion artifacts:\n";
             m_StatusText += "Maximum rotation: " + boost::lexical_cast<std::string>(m_Parameters.m_Rotation) + "°\n";
             m_StatusText += "Maximum translation: " + boost::lexical_cast<std::string>(m_Parameters.m_Translation) + "mm\n";
         }
         m_StatusText += "Motion logfile: " + mitk::IOUtil::GetTempPath().append(fileName) + "\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<std::string>(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());
 
 
     // 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<ItkUcharImgType>::Pointer duplicator = itk::ImageDuplicator<ItkUcharImgType>::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<double,3>               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<double,3> 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<ItkUcharImgType, ItkUcharImgType>::Pointer upsampler = itk::ResampleImageFilter<ItkUcharImgType, ItkUcharImgType>::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<ItkUcharImgType>::Pointer nn_interpolator
             = itk::NearestNeighborInterpolateImageFunction<ItkUcharImgType>::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 long lastTick = 0;
 
     for (unsigned int g=0; g<m_Parameters.GetNumVolumes(); g++)
     {
         vtkPolyData* fiberPolyData = fiberBundleTransformed->GetFiberPolyData();
 
         ItkDoubleImgType::Pointer intraAxonalVolumeImage = ItkDoubleImgType::New();
         intraAxonalVolumeImage->SetSpacing( m_UpsampledSpacing );
         intraAxonalVolumeImage->SetOrigin( m_UpsampledOrigin );
         intraAxonalVolumeImage->SetDirection( m_Parameters.m_ImageDirection );
         intraAxonalVolumeImage->SetLargestPossibleRegion( m_UpsampledImageRegion );
         intraAxonalVolumeImage->SetBufferedRegion( m_UpsampledImageRegion );
         intraAxonalVolumeImage->SetRequestedRegion( m_UpsampledImageRegion );
         intraAxonalVolumeImage->Allocate();
         intraAxonalVolumeImage->FillBuffer(0);
 
         // generate fiber signal (if there are any fiber models present)
         if (!m_Parameters.m_FiberModelList.empty())
             for( int i=0; i<numFibers; i++ )
             {
                 vtkCell* cell = fiberPolyData->GetCell(i);
                 int numPoints = cell->GetNumberOfPoints();
                 vtkPoints* points = cell->GetPoints();
 
                 if (numPoints<2)
                     continue;
 
                 for( int j=0; j<numPoints; j++)
                 {
                     if (this->GetAbortGenerateData())
                     {
                         m_StatusText += "\n"+this->GetTime()+" > Simulation aborted\n";
                         return;
                     }
 
                     double* temp = points->GetPoint(j);
                     itk::Point<float, 3> vertex = GetItkPoint(temp);
                     itk::Vector<double> v = GetItkVector(temp);
 
                     itk::Vector<double, 3> dir(3);
                     if (j<numPoints-1)
                         dir = GetItkVector(points->GetPoint(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<float, 3> 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; k<m_Parameters.m_FiberModelList.size(); k++)
                     {
                         m_Parameters.m_FiberModelList[k]->SetFiberDirection(dir);
                         DoubleDwiType::PixelType pix = compartments.at(k)->GetPixel(idx);
                         pix[g] += segmentVolume*m_Parameters.m_FiberModelList[k]->SimulateMeasurement(g);
                         compartments.at(k)->SetPixel(idx, pix);
                     }
 
                     // update fiber volume image
                     double vol = intraAxonalVolumeImage->GetPixel(idx) + segmentVolume;
                     intraAxonalVolumeImage->SetPixel(idx, vol);
                     if (g==0 && vol>maxVolume)
                         maxVolume = vol;
                 }
 
                 // progress report
                 ++disp;
                 unsigned long newTick = 50*disp.count()/disp.expected_count();
                 for (unsigned int tick = 0; tick<(newTick-lastTick); tick++)
                     m_StatusText += "*";
                 lastTick = newTick;
             }
 
         // generate non-fiber signal
         ImageRegionIterator<ItkUcharImgType> it3(tempTissueMask, tempTissueMask->GetLargestPossibleRegion());
         double fact = 1;
         if (m_Parameters.m_AxonRadius<0.0001 || maxVolume>voxelVolume)
             fact = voxelVolume/maxVolume;
         while(!it3.IsAtEnd())
         {
             if (it3.Get()>0)
             {
                 DoubleDwiType::IndexType index = it3.GetIndex();
 
                 // get fiber volume fraction
                 double intraAxonalVolume = intraAxonalVolumeImage->GetPixel(index)*fact;
 
                 for (unsigned int i=0; i<m_Parameters.m_FiberModelList.size(); i++)
                 {
                     DoubleDwiType::PixelType pix = compartments.at(i)->GetPixel(index);
                     pix[g] *= fact;
                     compartments.at(i)->SetPixel(index, pix);
                 }
 
                 if (intraAxonalVolume>0.0001 && m_Parameters.m_DoDisablePartialVolume)  // only fiber in voxel
                 {
                     DoubleDwiType::PixelType pix = compartments.at(0)->GetPixel(index);
                     pix[g] *= voxelVolume/intraAxonalVolume;
                     compartments.at(0)->SetPixel(index, pix);
                     m_VolumeFractions.at(0)->SetPixel(index, 1);
                     for (unsigned int i=1; i<m_Parameters.m_FiberModelList.size(); i++)
                     {
                         DoubleDwiType::PixelType pix = compartments.at(i)->GetPixel(index);
                         pix[g] = 0;
                         compartments.at(i)->SetPixel(index, pix);
                     }
                 }
                 else
                 {
                     m_VolumeFractions.at(0)->SetPixel(index, intraAxonalVolume/voxelVolume);
 
                     double extraAxonalVolume = voxelVolume-intraAxonalVolume;    // non-fiber volume
                     double interAxonalVolume = 0;
                     if (m_Parameters.m_FiberModelList.size()>1)
                         interAxonalVolume = extraAxonalVolume * intraAxonalVolume/voxelVolume;   // inter-axonal fraction of non fiber compartment scales linearly with f
                     double other = extraAxonalVolume - interAxonalVolume;        // rest of compartment
                     double singleinter = interAxonalVolume/(m_Parameters.m_FiberModelList.size()-1);
 
                     // adjust non-fiber and intra-axonal signal
                     for (unsigned int i=1; i<m_Parameters.m_FiberModelList.size(); i++)
                     {
                         DoubleDwiType::PixelType pix = compartments.at(i)->GetPixel(index);
                         if (intraAxonalVolume>0)    // remove scaling by intra-axonal volume from inter-axonal compartment
                             pix[g] /= intraAxonalVolume;
                         pix[g] *= singleinter;
                         compartments.at(i)->SetPixel(index, pix);
                         m_VolumeFractions.at(i)->SetPixel(index, singleinter/voxelVolume);
                     }
                     for (unsigned int i=0; i<m_Parameters.m_NonFiberModelList.size(); i++)
                     {
                         DoubleDwiType::Pointer doubleDwi = compartments.at(i+m_Parameters.m_FiberModelList.size());
                         DoubleDwiType::PixelType pix = doubleDwi->GetPixel(index);
                         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<ItkUcharImgType> maskIt(upsampledTissueMask, upsampledTissueMask->GetLargestPossibleRegion());
                 tempTissueMask->FillBuffer(0);
 
                 while(!maskIt.IsAtEnd())
                 {
                     if (maskIt.Get()<=0)
                     {
                         ++maskIt;
                         continue;
                     }
 
                     DoubleDwiType::IndexType index = maskIt.GetIndex();
                     itk::Point<double, 3> 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
             if (logFile.is_open())
             {
                 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]);
         }
     }
     if (logFile.is_open())
     {
         logFile << "DONE";
         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_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_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<compartments.size(); i++)
         {
             itk::AddImageFilter< DoubleDwiType, DoubleDwiType, DoubleDwiType>::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<unsigned int>::max();
     ImageRegionIterator<OutputImageType> 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 (unsigned long 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; i<m_Parameters.m_Repetitions; i++)
             {
                 DoubleDwiType::PixelType temp = signal;
                 m_Parameters.m_NoiseModel->AddNoise(temp);
                 accu += temp;
             }
             signal = accu/m_Parameters.m_Repetitions;
         }
 
         for (unsigned int i=0; i<signal.Size(); i++)
         {
             if (signal[i]>0)
                 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]<min)
                 min = signal[i];
         }
         it4.Set(signal);
         ++it4;
     }
     window -= min;
     unsigned int level = window/2 + min;
     m_LevelWindow.SetLevelWindow(level, window);
     this->SetNthOutput(0, outImage);
 
     m_StatusText += "\n\n";
     m_StatusText += "Finished simulation\n";
     m_StatusText += "Simulation time: "+GetTime();
     m_TimeProbe.Stop();
 }
 
 template< class PixelType >
 itk::Point<float, 3> TractsToDWIImageFilter< PixelType >::GetItkPoint(double point[3])
 {
     itk::Point<float, 3> itkPoint;
     itkPoint[0] = point[0];
     itkPoint[1] = point[1];
     itkPoint[2] = point[2];
     return itkPoint;
 }
 
 template< class PixelType >
 itk::Vector<double, 3> TractsToDWIImageFilter< PixelType >::GetItkVector(double point[3])
 {
     itk::Vector<double, 3> itkVector;
     itkVector[0] = point[0];
     itkVector[1] = point[1];
     itkVector[2] = point[2];
     return itkVector;
 }
 
 template< class PixelType >
 vnl_vector_fixed<double, 3> TractsToDWIImageFilter< PixelType >::GetVnlVector(double point[3])
 {
     vnl_vector_fixed<double, 3> vnlVector;
     vnlVector[0] = point[0];
     vnlVector[1] = point[1];
     vnlVector[2] = point[2];
     return vnlVector;
 }
 
 template< class PixelType >
 vnl_vector_fixed<double, 3> TractsToDWIImageFilter< PixelType >::GetVnlVector(Vector<float,3>& vector)
 {
     vnl_vector_fixed<double, 3> vnlVector;
     vnlVector[0] = vector[0];
     vnlVector[1] = vector[1];
     vnlVector[2] = vector[2];
     return vnlVector;
 }
 
+template< class PixelType >
+double TractsToDWIImageFilter< PixelType >::RoundToNearest(double num) {
+    return (num > 0.0) ? floor(num + 0.5) : ceil(num - 0.5);
+}
+
 template< class PixelType >
 std::string TractsToDWIImageFilter< PixelType >::GetTime()
 {
     m_TimeProbe.Stop();
-    unsigned long total = round(m_TimeProbe.GetTotal());
+    unsigned long total = RoundToNearest(m_TimeProbe.GetTotal());
     unsigned long hours = total/3600;
     unsigned long minutes = (total%3600)/60;
     unsigned long seconds = total%60;
     std::string out = "";
     out.append(boost::lexical_cast<std::string>(hours));
     out.append(":");
     out.append(boost::lexical_cast<std::string>(minutes));
     out.append(":");
     out.append(boost::lexical_cast<std::string>(seconds));
     m_TimeProbe.Start();
     return out;
 }
 
 }
diff --git a/Modules/DiffusionImaging/FiberTracking/Algorithms/itkTractsToDWIImageFilter.h b/Modules/DiffusionImaging/FiberTracking/Algorithms/itkTractsToDWIImageFilter.h
index f4ffd6eb76..a10968d2a3 100755
--- a/Modules/DiffusionImaging/FiberTracking/Algorithms/itkTractsToDWIImageFilter.h
+++ b/Modules/DiffusionImaging/FiberTracking/Algorithms/itkTractsToDWIImageFilter.h
@@ -1,104 +1,105 @@
 /*===================================================================
 
 The Medical Imaging Interaction Toolkit (MITK)
 
 Copyright (c) German Cancer Research Center,
 Division of Medical and Biological Informatics.
 All rights reserved.
 
 This software is distributed WITHOUT ANY WARRANTY; without
 even the implied warranty of MERCHANTABILITY or FITNESS FOR
 A PARTICULAR PURPOSE.
 
 See LICENSE.txt or http://www.mitk.org for details.
 
 ===================================================================*/
 #ifndef __itkTractsToDWIImageFilter_h__
 #define __itkTractsToDWIImageFilter_h__
 
 #include <mitkFiberBundleX.h>
 #include <itkVnlForwardFFTImageFilter.h>
 #include <itkVectorImage.h>
 #include <cmath>
 #include <mitkFiberfoxParameters.h>
 #include <itkTimeProbe.h>
 
 namespace itk
 {
 
 /**
 * \brief Generates artificial diffusion weighted image volume from the input fiberbundle using a generic multicompartment model.
 * See "Fiberfox: Facilitating the creation of realistic white matter software phantoms" (DOI: 10.1002/mrm.25045) for details.
 */
 
 template< class PixelType >
 class TractsToDWIImageFilter : public ImageSource< itk::VectorImage< PixelType, 3 > >
 {
 
 public:
 
     typedef TractsToDWIImageFilter                          Self;
     typedef ImageSource< itk::VectorImage< PixelType, 3 > > Superclass;
     typedef SmartPointer< Self >                            Pointer;
     typedef SmartPointer< const Self >                      ConstPointer;
 
     typedef typename Superclass::OutputImageType                        OutputImageType;
     typedef itk::Image<double, 3>                                       ItkDoubleImgType;
     typedef itk::Image<unsigned char, 3>                                ItkUcharImgType;
     typedef mitk::FiberBundleX::Pointer                                 FiberBundleType;
     typedef itk::VectorImage< double, 3 >                               DoubleDwiType;
     typedef itk::Matrix<double, 3, 3>                                   MatrixType;
     typedef itk::Image< double, 2 >                                     SliceType;
     typedef itk::VnlForwardFFTImageFilter<SliceType>::OutputImageType   ComplexSliceType;
     typedef itk::Vector< double,3>                                      VectorType;
 
     itkNewMacro(Self)
     itkTypeMacro( TractsToDWIImageFilter, ImageSource )
 
     /** Input */
     itkSetMacro( FiberBundle, FiberBundleType )             ///< Input fiber bundle
     itkSetMacro( UseConstantRandSeed, bool )                ///< Seed for random generator.
     void SetParameters( FiberfoxParameters<double> param )  ///< Simulation parameters.
     { m_Parameters = param; }
 
     /** Output */
     FiberfoxParameters<double> GetParameters(){ return m_Parameters; }
     std::vector< ItkDoubleImgType::Pointer > GetVolumeFractions() ///< one double image for each compartment containing the corresponding volume fraction per voxel
     { return m_VolumeFractions; }
     mitk::LevelWindow GetLevelWindow(){ return m_LevelWindow; }
     itkGetMacro( StatusText, std::string )
 
     void GenerateData();
 
 protected:
 
     TractsToDWIImageFilter();
     virtual ~TractsToDWIImageFilter();
     itk::Point<float, 3> GetItkPoint(double point[3]);
     itk::Vector<double, 3> GetItkVector(double point[3]);
     vnl_vector_fixed<double, 3> GetVnlVector(double point[3]);
     vnl_vector_fixed<double, 3> GetVnlVector(Vector< float, 3 >& vector);
+    double RoundToNearest(double num);
     std::string GetTime();
 
     /** Transform generated image compartment by compartment, channel by channel and slice by slice using DFT and add k-space artifacts. */
     DoubleDwiType::Pointer DoKspaceStuff(std::vector< DoubleDwiType::Pointer >& images);
 
     mitk::FiberfoxParameters<double>            m_Parameters;
     itk::Vector<double,3>                       m_UpsampledSpacing;
     itk::Point<double,3>                        m_UpsampledOrigin;
     ImageRegion<3>                              m_UpsampledImageRegion;
     FiberBundleType                             m_FiberBundle;
     mitk::LevelWindow                           m_LevelWindow;
     std::vector< ItkDoubleImgType::Pointer >    m_VolumeFractions;
     std::string                                 m_StatusText;
     itk::TimeProbe                              m_TimeProbe;
     bool                                        m_UseConstantRandSeed;
     itk::Statistics::MersenneTwisterRandomVariateGenerator::Pointer m_RandGen;
 };
 }
 
 #ifndef ITK_MANUAL_INSTANTIATION
 #include "itkTractsToDWIImageFilter.cpp"
 #endif
 
 #endif