diff --git a/Modules/PhotoacousticsAlgorithms/Resources/DelayCalculation.cl b/Modules/PhotoacousticsAlgorithms/Resources/DelayCalculation.cl
index afaf1e5c07..a388e23dc2 100644
--- a/Modules/PhotoacousticsAlgorithms/Resources/DelayCalculation.cl
+++ b/Modules/PhotoacousticsAlgorithms/Resources/DelayCalculation.cl
@@ -1,71 +1,69 @@
 /*===================================================================
 
 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.
 
 ===================================================================*/
 
 __kernel void ckDelayCalculationQuad(  __global unsigned short *gDest,
                          __global unsigned short *usedLines,
                          unsigned int inputL,
                          unsigned int inputS,
                          unsigned int outputL,
                          unsigned int outputS,
                          char isPAImage,
                          float delayMultiplicatorRaw // parameters
                          )
 {
   uint globalPosX = get_global_id(0);
   uint globalPosY = get_global_id(1);
-  uint globalPosZ = get_global_id(2);
 
   if (globalPosX * 2 < outputL && globalPosY < outputS)
   {
     float l_i = 0; // we calculate the delays relative to line zero
     float s_i = (float)globalPosY / (float)outputS * (float)inputS / 2;
 
     float l_s = (float)globalPosX / (float)outputL * (float)inputL; // the currently calculated line
 
     float delayMultiplicator = delayMultiplicatorRaw / s_i;
     gDest[globalPosY * outputL + globalPosX] = delayMultiplicator * pow((l_s - l_i), 2) + s_i + (1-isPAImage)*s_i;
   }
 }
  
 __kernel void ckDelayCalculationSphe(  __global unsigned short *gDest,
                          __global unsigned short *usedLines,
                          unsigned int inputL,
                          unsigned int inputS,
                          unsigned int outputL,
                          unsigned int outputS,
                          char isPAImage,
                          float delayMultiplicatorRaw // parameters
                          )
 {
   uint globalPosX = get_global_id(0);
   uint globalPosY = get_global_id(1);
-  uint globalPosZ = get_global_id(2);
 
   if (globalPosX * 2< outputL && globalPosY < outputS)
   {
     float l_i = 0; // we calculate the delays relative to line zero
     float s_i = (float)globalPosY / (float)outputS * (float)inputS / 2;
 
     float l_s = (float)globalPosX / (float)outputL * (float)inputL; // the currently calculated line
 
     gDest[globalPosY * outputL + globalPosX] =
       sqrt(
         pow(s_i, 2)
         +
         pow((delayMultiplicatorRaw * ((l_s - l_i)) / inputL), 2)
       ) + (1-isPAImage)*s_i;
   }
 }
\ No newline at end of file
diff --git a/Modules/PhotoacousticsAlgorithms/source/OpenCLFilter/mitkPhotoacousticOCLUsedLinesCalculation.cpp b/Modules/PhotoacousticsAlgorithms/source/OpenCLFilter/mitkPhotoacousticOCLUsedLinesCalculation.cpp
index 44b26beda3..143cecd12c 100644
--- a/Modules/PhotoacousticsAlgorithms/source/OpenCLFilter/mitkPhotoacousticOCLUsedLinesCalculation.cpp
+++ b/Modules/PhotoacousticsAlgorithms/source/OpenCLFilter/mitkPhotoacousticOCLUsedLinesCalculation.cpp
@@ -1,123 +1,115 @@
 /*===================================================================
 
 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.
 
 ===================================================================*/
 #if defined(PHOTOACOUSTICS_USE_GPU) || DOXYGEN
 #define _USE_MATH_DEFINES
 
 #include <cmath>
 #include "./OpenCLFilter/mitkPhotoacousticOCLUsedLinesCalculation.h"
 #include "usServiceReference.h"
 #include "mitkImageReadAccessor.h"
 
 mitk::OCLUsedLinesCalculation::OCLUsedLinesCalculation()
   : m_PixelCalculation(NULL)
 {
   this->AddSourceFile("UsedLinesCalculation.cl");
   this->m_FilterID = "UsedLinesCalculation";
 
   m_ChunkSize[0] = 128;
   m_ChunkSize[1] = 128;
   m_ChunkSize[2] = 8;
 
   this->Initialize();
 }
 
 mitk::OCLUsedLinesCalculation::~OCLUsedLinesCalculation()
 {
   if (this->m_PixelCalculation)
   {
     clReleaseKernel(m_PixelCalculation);
   }
 }
 
 void mitk::OCLUsedLinesCalculation::Update()
 {
   //Check if context & program available
   if (!this->Initialize())
   {
     us::ServiceReference<OclResourceService> ref = GetModuleContext()->GetServiceReference<OclResourceService>();
     OclResourceService* resources = GetModuleContext()->GetService<OclResourceService>(ref);
 
     // clean-up also the resources
     resources->InvalidateStorage();
     mitkThrow() << "Filter is not initialized. Cannot update.";
   }
   else {
     // Execute
     this->Execute();
   }
 }
 
 void mitk::OCLUsedLinesCalculation::Execute()
 {
   cl_int clErr = 0;
 
   unsigned int gridDim[3] = { m_Conf.ReconstructionLines, m_Conf.SamplesPerLine, 1 };
   size_t outputSize = gridDim[0] * gridDim[1] * 3;
 
   try
   {
     this->InitExecNoInput(this->m_PixelCalculation, gridDim, outputSize, sizeof(unsigned short));
   }
   catch (const mitk::Exception& e)
   {
     MITK_ERROR << "Caught exception while initializing filter: " << e.what();
     return;
   }
 
   m_part = (tan(m_Conf.Angle / 360 * 2 * M_PI) * ((m_Conf.SpeedOfSound * m_Conf.TimeSpacing)) / (m_Conf.Pitch * m_Conf.TransducerElements)) * m_Conf.inputDim[0];
   
   clErr = clSetKernelArg(this->m_PixelCalculation, 1, sizeof(cl_float), &(this->m_part));
   clErr |= clSetKernelArg(this->m_PixelCalculation, 2, sizeof(cl_uint), &(this->m_Conf.inputDim[0]));
   clErr |= clSetKernelArg(this->m_PixelCalculation, 3, sizeof(cl_uint), &(this->m_Conf.inputDim[1]));
   clErr |= clSetKernelArg(this->m_PixelCalculation, 4, sizeof(cl_uint), &(this->m_Conf.ReconstructionLines));
   clErr |= clSetKernelArg(this->m_PixelCalculation, 5, sizeof(cl_uint), &(this->m_Conf.SamplesPerLine));
 
   CHECK_OCL_ERR(clErr);
 
   // execute the filter on a 2D NDRange
-  if (m_Conf.inputDim[2] > 2)
-  {
-    if (!this->ExecuteKernelChunksInBatches(m_PixelCalculation, 2, m_ChunkSize, 16, 50))
-      mitkThrow() << "openCL Error when executing Kernel";
-  }
-  else
-  {
-    if (!this->ExecuteKernelChunks(m_PixelCalculation, 2, m_ChunkSize))
-      mitkThrow() << "openCL Error when executing Kernel";
-  }
+  if (!this->ExecuteKernelChunksInBatches(m_PixelCalculation, 2, m_ChunkSize, 16, 50))
+    mitkThrow() << "openCL Error when executing Kernel";
 
   // signalize the GPU-side data changed
   m_Output->Modified(GPU_DATA);
 }
 
 us::Module *mitk::OCLUsedLinesCalculation::GetModule()
 {
   return us::GetModuleContext()->GetModule();
 }
 
 bool mitk::OCLUsedLinesCalculation::Initialize()
 {
   bool buildErr = true;
   cl_int clErr = 0;
 
   if (OclFilter::Initialize())
   {
     this->m_PixelCalculation = clCreateKernel(this->m_ClProgram, "ckUsedLines", &clErr);
     buildErr |= CHECK_OCL_ERR(clErr);
   }
   return (OclFilter::IsInitialized() && buildErr);
 }
 #endif
diff --git a/Modules/PhotoacousticsAlgorithms/source/mitkPhotoacousticImage.cpp b/Modules/PhotoacousticsAlgorithms/source/mitkPhotoacousticImage.cpp
index 9b1c699229..f498dcb70b 100644
--- a/Modules/PhotoacousticsAlgorithms/source/mitkPhotoacousticImage.cpp
+++ b/Modules/PhotoacousticsAlgorithms/source/mitkPhotoacousticImage.cpp
@@ -1,522 +1,533 @@
 /*===================================================================
 
 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.
 
 ===================================================================*/
 
 #define _USE_MATH_DEFINES
 #include <cmath>
 #include "mitkPhotoacousticImage.h"
 #include "../ITKFilter/ITKUltrasound/itkBModeImageFilter.h"
 #include "../ITKFilter/itkPhotoacousticBModeImageFilter.h"
 #include "mitkImageCast.h"
 #include "mitkITKImageImport.h"
 #include "mitkPhotoacousticBeamformingFilter.h"
 #include <chrono>
 #include <mitkAutoCropImageFilter.h>
 #include "./OpenCLFilter/mitkPhotoacousticBModeFilter.h"
 
 
 // itk dependencies
 #include "itkImage.h"
 #include "itkResampleImageFilter.h"
 #include "itkCastImageFilter.h"
 #include "itkCropImageFilter.h"
 #include "itkRescaleIntensityImageFilter.h"
 #include "itkIntensityWindowingImageFilter.h"
 #include <itkIndex.h>
 #include "itkMultiplyImageFilter.h"
 #include "itkBSplineInterpolateImageFunction.h"
 #include <mitkImageToItk.h>
 
 // needed itk image filters
 #include "mitkITKImageImport.h"
 #include "itkFFTShiftImageFilter.h"
 #include "itkMultiplyImageFilter.h"
 #include "itkComplexToModulusImageFilter.h"
 #include <itkAddImageFilter.h>
 #include "../ITKFilter/ITKUltrasound/itkFFT1DComplexConjugateToRealImageFilter.h"
 #include "../ITKFilter/ITKUltrasound/itkFFT1DRealToComplexConjugateImageFilter.h"
 
 mitk::PhotoacousticImage::PhotoacousticImage() : m_BeamformingFilter(BeamformingFilter::New())
 {
   MITK_INFO << "[PhotoacousticImage Debug] created that image";
 }
 
 mitk::PhotoacousticImage::~PhotoacousticImage()
 {
   MITK_INFO << "[PhotoacousticImage Debug] destroyed that image";
 }
 
 mitk::Image::Pointer mitk::PhotoacousticImage::ApplyBmodeFilter(mitk::Image::Pointer inputImage, BModeMethod method, bool UseGPU, bool UseLogFilter, float resampleSpacing)
 {
   // the image needs to be of floating point type for the envelope filter to work; the casting is done automatically by the CastToItkImage
   typedef itk::Image< float, 3 > itkFloatImageType;
   typedef itk::IdentityTransform<double, 3> TransformType;
 
   if (method == BModeMethod::Abs)
   {
     mitk::Image::Pointer input;
     mitk::Image::Pointer out;
     if (inputImage->GetPixelType().GetTypeAsString() == "scalar (float)" || inputImage->GetPixelType().GetTypeAsString() == " (float)")
       input = inputImage;
     else
       input = ApplyCropping(inputImage, 0, 0, 0, 0, 0, inputImage->GetDimension(2) - 1);
 
     if (!UseGPU)
     {
       PhotoacousticBModeFilter::Pointer filter = PhotoacousticBModeFilter::New();
       filter->SetParameters(UseLogFilter);
       filter->SetInput(input);
       filter->Update();
 
       out = filter->GetOutput();
 
       if (resampleSpacing == 0)
         return out;
     }
     #ifdef PHOTOACOUSTICS_USE_GPU
     else
     {
       PhotoacousticOCLBModeFilter::Pointer filter = PhotoacousticOCLBModeFilter::New();
       filter->SetParameters(UseLogFilter);
       filter->SetInput(input);
       filter->Update();
 
       out = filter->GetOutput();
 
       if (resampleSpacing == 0)
         return out;
     }
     #endif
 
     typedef itk::ResampleImageFilter < itkFloatImageType, itkFloatImageType > ResampleImageFilter;
     ResampleImageFilter::Pointer resampleImageFilter = ResampleImageFilter::New();
 
     itkFloatImageType::Pointer itkImage;
     mitk::CastToItkImage(out, itkImage);
     itkFloatImageType::SpacingType outputSpacing;
     itkFloatImageType::SizeType inputSize = itkImage->GetLargestPossibleRegion().GetSize();
     itkFloatImageType::SizeType outputSize = inputSize;
 
     outputSpacing[0] = itkImage->GetSpacing()[0];
     outputSpacing[1] = resampleSpacing;
     outputSpacing[2] = itkImage->GetSpacing()[2];
 
     outputSize[1] = inputSize[1] * itkImage->GetSpacing()[1] / outputSpacing[1];
 
     typedef itk::IdentityTransform<double, 3> TransformType;
     resampleImageFilter->SetInput(itkImage);
     resampleImageFilter->SetSize(outputSize);
     resampleImageFilter->SetOutputSpacing(outputSpacing);
     resampleImageFilter->SetTransform(TransformType::New());
 
     resampleImageFilter->UpdateLargestPossibleRegion();
     return mitk::GrabItkImageMemory(resampleImageFilter->GetOutput());
   }
   else if (method == BModeMethod::EnvelopeDetection)
   {
     typedef itk::BModeImageFilter < itkFloatImageType, itkFloatImageType > BModeFilterType;
     BModeFilterType::Pointer bModeFilter = BModeFilterType::New();  // LogFilter
 
     typedef itk::PhotoacousticBModeImageFilter < itkFloatImageType, itkFloatImageType > PhotoacousticBModeImageFilter;
     PhotoacousticBModeImageFilter::Pointer photoacousticBModeFilter = PhotoacousticBModeImageFilter::New(); // No LogFilter
 
     typedef itk::ResampleImageFilter < itkFloatImageType, itkFloatImageType > ResampleImageFilter;
     ResampleImageFilter::Pointer resampleImageFilter = ResampleImageFilter::New();
 
     itkFloatImageType::Pointer itkImage;
 
     mitk::CastToItkImage(inputImage, itkImage);
 
     itkFloatImageType::Pointer bmode;
 
     if (UseLogFilter)
     {
       bModeFilter->SetInput(itkImage);
       bModeFilter->SetDirection(1);
       bmode = bModeFilter->GetOutput();
     }
     else
     {
       photoacousticBModeFilter->SetInput(itkImage);
       photoacousticBModeFilter->SetDirection(1);
       bmode = photoacousticBModeFilter->GetOutput();
     }
 
     // resampleSpacing == 0 means: do no resampling
     if (resampleSpacing == 0)
     {
       return mitk::GrabItkImageMemory(bmode);
     }
 
     itkFloatImageType::SpacingType outputSpacing;
     itkFloatImageType::SizeType inputSize = itkImage->GetLargestPossibleRegion().GetSize();
     itkFloatImageType::SizeType outputSize = inputSize;
 
     outputSpacing[0] = itkImage->GetSpacing()[0];
     outputSpacing[1] = resampleSpacing;
     outputSpacing[2] = itkImage->GetSpacing()[2];
 
     outputSize[1] = inputSize[1] * itkImage->GetSpacing()[1] / outputSpacing[1];
 
     resampleImageFilter->SetInput(bmode);
     resampleImageFilter->SetSize(outputSize);
     resampleImageFilter->SetOutputSpacing(outputSpacing);
     resampleImageFilter->SetTransform(TransformType::New());
 
     resampleImageFilter->UpdateLargestPossibleRegion();
     return mitk::GrabItkImageMemory(resampleImageFilter->GetOutput());
   }
   return nullptr;
 }
 
 /*mitk::Image::Pointer mitk::PhotoacousticImage::ApplyScatteringCompensation(mitk::Image::Pointer inputImage, int scattering)
 {
   typedef itk::Image< float, 3 > itkFloatImageType;
   typedef itk::MultiplyImageFilter <itkFloatImageType, itkFloatImageType > MultiplyImageFilterType;
 
   itkFloatImageType::Pointer itkImage;
   mitk::CastToItkImage(inputImage, itkImage);
 
   MultiplyImageFilterType::Pointer multiplyFilter = MultiplyImageFilterType::New();
   multiplyFilter->SetInput1(itkImage);
   multiplyFilter->SetInput2(m_FluenceCompResizedItk.at(m_ScatteringCoefficient));
 
   return mitk::GrabItkImageMemory(multiplyFilter->GetOutput());
 }*/
 
 mitk::Image::Pointer mitk::PhotoacousticImage::ApplyResampling(mitk::Image::Pointer inputImage, unsigned int outputSize[2])
 {
   typedef itk::Image< float, 3 > itkFloatImageType;
 
   typedef itk::ResampleImageFilter < itkFloatImageType, itkFloatImageType > ResampleImageFilter;
   ResampleImageFilter::Pointer resampleImageFilter = ResampleImageFilter::New();
   typedef itk::LinearInterpolateImageFunction<itkFloatImageType, double> T_Interpolator;
   itkFloatImageType::Pointer itkImage;
 
   mitk::CastToItkImage(inputImage, itkImage);
 
   itkFloatImageType::SpacingType outputSpacingItk;
   itkFloatImageType::SizeType inputSizeItk = itkImage->GetLargestPossibleRegion().GetSize();
   itkFloatImageType::SizeType outputSizeItk = inputSizeItk;
 
   outputSizeItk[0] = outputSize[0];
   outputSizeItk[1] = outputSize[1];
   outputSizeItk[2] = inputSizeItk[2];
 
   outputSpacingItk[0] = itkImage->GetSpacing()[0] * (static_cast<double>(inputSizeItk[0]) / static_cast<double>(outputSizeItk[0]));
   outputSpacingItk[1] = itkImage->GetSpacing()[1] * (static_cast<double>(inputSizeItk[1]) / static_cast<double>(outputSizeItk[1]));
   outputSpacingItk[2] = itkImage->GetSpacing()[2];
 
   typedef itk::IdentityTransform<double, 3> TransformType;
   T_Interpolator::Pointer _pInterpolator = T_Interpolator::New();
   resampleImageFilter->SetInput(itkImage);
   resampleImageFilter->SetSize(outputSizeItk);
   resampleImageFilter->SetOutputSpacing(outputSpacingItk);
   resampleImageFilter->SetTransform(TransformType::New());
   resampleImageFilter->SetInterpolator(_pInterpolator);
 
   resampleImageFilter->UpdateLargestPossibleRegion();
   return mitk::GrabItkImageMemory(resampleImageFilter->GetOutput());
 }
 
 mitk::Image::Pointer mitk::PhotoacousticImage::ApplyCropping(mitk::Image::Pointer inputImage, int above, int below, int right, int left, int minSlice, int maxSlice)
 {
   
   unsigned int inputDim[3] = { inputImage->GetDimension(0), inputImage->GetDimension(1), inputImage->GetDimension(2) };
   unsigned int outputDim[3] = { inputImage->GetDimension(0) - left - right, inputImage->GetDimension(1) - (unsigned int)above - (unsigned int)below, (unsigned int)maxSlice - (unsigned int)minSlice + 1 };
  
   void* inputData;
   float* outputData = new float[outputDim[0] * outputDim[1] * outputDim[2]];
 
   ImageReadAccessor acc(inputImage);
   inputData = const_cast<void*>(acc.GetData());
   
   // convert the data to float by default
   // as of now only float, short, double are used at all.
   if (inputImage->GetPixelType().GetTypeAsString() == "scalar (float)" || inputImage->GetPixelType().GetTypeAsString() == " (float)")
   {
     // copy the data into the cropped image
     for (unsigned short sl = 0; sl < outputDim[2]; ++sl)
     {
       for (unsigned short l = 0; l < outputDim[0]; ++l)
       {
         for (unsigned short s = 0; s < outputDim[1]; ++s)
         {
           outputData[l + s*(unsigned short)outputDim[0] + sl*outputDim[0] * outputDim[1]] = (float)((float*)inputData)[(l + left) + (s + above)*(unsigned short)inputDim[0] + (sl + minSlice)*inputDim[0] * inputDim[1]];
         }
       }
     }
   }
   else if (inputImage->GetPixelType().GetTypeAsString() == "scalar (short)" || inputImage->GetPixelType().GetTypeAsString() == " (short)")
   {
     // copy the data to the cropped image
     for (unsigned short sl = 0; sl < outputDim[2]; ++sl)
     {
       for (unsigned short l = 0; l < outputDim[0]; ++l)
       {
         for (unsigned short s = 0; s < outputDim[1]; ++s)
         {
           outputData[l + s*(unsigned short)outputDim[0] + sl*outputDim[0] * outputDim[1]] = (float)((short*)inputData)[(l + left) + (s + above)*(unsigned short)inputDim[0] + (sl + minSlice)*inputDim[0] * inputDim[1]];
         }
       }
     }
   }
   else if (inputImage->GetPixelType().GetTypeAsString() == "scalar (double)" || inputImage->GetPixelType().GetTypeAsString() == " (double)")
   {
     // copy the data to the cropped image
     for (unsigned short sl = 0; sl < outputDim[2]; ++sl)
     {
       for (unsigned short l = 0; l < outputDim[0]; ++l)
       {
         for (unsigned short s = 0; s < outputDim[1]; ++s)
         {
           outputData[l + s*(unsigned short)outputDim[0] + sl*outputDim[0] * outputDim[1]] = (float)((double*)inputData)[(l + left) + (s + above)*(unsigned short)inputDim[0] + (sl + minSlice)*inputDim[0] * inputDim[1]];
         }
       }
     }
   }
   else
   {
     MITK_INFO << "Could not determine pixel type";
   }
 
   mitk::Image::Pointer output = mitk::Image::New();
   output->Initialize(mitk::MakeScalarPixelType<float>(), 3, outputDim);
   output->SetSpacing(inputImage->GetGeometry()->GetSpacing());
   output->SetImportVolume(outputData, 0, 0, mitk::Image::ReferenceMemory);
 
   return output;
 }
 
 mitk::Image::Pointer mitk::PhotoacousticImage::ApplyBeamforming(mitk::Image::Pointer inputImage, BeamformingSettings config, std::string& message, std::function<void(int, std::string)> progressHandle)
 {
+  Image::Pointer processedImage = inputImage;
+  if (inputImage->GetDimension() != 3)
+  {
+    processedImage->Initialize(mitk::MakeScalarPixelType<float>(), 3, inputImage->GetDimensions());
+    processedImage->SetSpacing(inputImage->GetGeometry()->GetSpacing());
+
+    mitk::ImageReadAccessor copy(inputImage);
+
+    processedImage->SetImportVolume(copy.GetData());
+  }
+
   config.RecordTime = config.RecordTime - (float)(config.upperCutoff) / (float)inputImage->GetDimension(1) * config.RecordTime; // adjust the recorded time lost by cropping
   progressHandle(0, "converting image");
   if (!config.partial)
   {
     config.CropBounds[0] = 0;
     config.CropBounds[1] = inputImage->GetDimension(2) - 1;
   }
-  Image::Pointer processedImage = ApplyCropping(inputImage, config.upperCutoff, 0, 0, 0, config.CropBounds[0], config.CropBounds[1]);
+  processedImage = ApplyCropping(inputImage, config.upperCutoff, 0, 0, 0, config.CropBounds[0], config.CropBounds[1]);
 
   config.inputDim[0] = processedImage->GetDimension(0);
   config.inputDim[1] = processedImage->GetDimension(1);
   config.inputDim[2] = processedImage->GetDimension(2);
 
   // perform the beamforming
   m_BeamformingFilter->SetInput(processedImage);
   m_BeamformingFilter->Configure(config);
   m_BeamformingFilter->SetProgressHandle(progressHandle);
   m_BeamformingFilter->UpdateLargestPossibleRegion();
 
   processedImage = m_BeamformingFilter->GetOutput();
   message = m_BeamformingFilter->GetMessageString();
 
   return processedImage;
 }
 
 mitk::Image::Pointer mitk::PhotoacousticImage::BandpassFilter(mitk::Image::Pointer data, float recordTime, float BPHighPass, float BPLowPass, float alpha)
 {
   bool powerOfTwo = false;
   int finalPower = 0;
   for (int i = 1; pow(2, i) <= data->GetDimension(1); ++i)
   {
     finalPower = i;
     if (pow(2, i) == data->GetDimension(1))
     {
       powerOfTwo = true;
     }
   }
   if (!powerOfTwo)
   {
     unsigned int dim[2] = { data->GetDimension(0), (unsigned int)pow(2,finalPower+1)};
     data = ApplyResampling(data, dim);
   }
 
   MITK_INFO << data->GetDimension(0);
 
   // do a fourier transform, multiply with an appropriate window for the filter, and transform back
   typedef float PixelType;
   typedef itk::Image< PixelType, 3 > RealImageType;
   RealImageType::Pointer image;
 
   mitk::CastToItkImage(data, image);
 
   typedef itk::FFT1DRealToComplexConjugateImageFilter<RealImageType> ForwardFFTFilterType;
   typedef ForwardFFTFilterType::OutputImageType ComplexImageType;
   ForwardFFTFilterType::Pointer forwardFFTFilter = ForwardFFTFilterType::New();
   forwardFFTFilter->SetInput(image);
   forwardFFTFilter->SetDirection(1);
   try
   {
     forwardFFTFilter->UpdateOutputInformation();
   }
   catch (itk::ExceptionObject & error)
   {
     std::cerr << "Error: " << error << std::endl;
     MITK_WARN << "Bandpass could not be applied";
     return data;
   }
 
   float singleVoxel = 1 / (recordTime / data->GetDimension(1)) / 2 / 1000;
   float cutoffPixelHighPass = std::min(BPHighPass / singleVoxel, (float)data->GetDimension(1) / 2);
   float cutoffPixelLowPass = std::min(BPLowPass / singleVoxel, (float)data->GetDimension(1) / 2 - cutoffPixelHighPass);
 
   RealImageType::Pointer fftMultiplicator = BPFunction(data, cutoffPixelHighPass, cutoffPixelLowPass, alpha);
 
   typedef itk::MultiplyImageFilter< ComplexImageType,
     RealImageType,
     ComplexImageType >
     MultiplyFilterType;
   MultiplyFilterType::Pointer multiplyFilter = MultiplyFilterType::New();
   multiplyFilter->SetInput1(forwardFFTFilter->GetOutput());
   multiplyFilter->SetInput2(fftMultiplicator);
 
   /*itk::ComplexToModulusImageFilter<ComplexImageType, RealImageType>::Pointer toReal = itk::ComplexToModulusImageFilter<ComplexImageType, RealImageType>::New();
   toReal->SetInput(forwardFFTFilter->GetOutput());
   return GrabItkImageMemory(toReal->GetOutput());
   return GrabItkImageMemory(fftMultiplicator);   *///DEBUG
 
   typedef itk::FFT1DComplexConjugateToRealImageFilter< ComplexImageType, RealImageType > InverseFilterType;
   InverseFilterType::Pointer inverseFFTFilter = InverseFilterType::New();
   inverseFFTFilter->SetInput(multiplyFilter->GetOutput());
   inverseFFTFilter->SetDirection(1);
 
   return GrabItkImageMemory(inverseFFTFilter->GetOutput());
 }
 
 itk::Image<float, 3U>::Pointer mitk::PhotoacousticImage::BPFunction(mitk::Image::Pointer reference, int cutoffFrequencyPixelHighPass, int cutoffFrequencyPixelLowPass, float alpha)
 {
   float* imageData = new float[reference->GetDimension(0)*reference->GetDimension(1)];
   
   // tukey window
   float width = reference->GetDimension(1) / 2 - (float)cutoffFrequencyPixelHighPass - (float)cutoffFrequencyPixelLowPass;
   float center = (float)cutoffFrequencyPixelHighPass / 2 + width / 2;
 
 
   MITK_INFO << width << "width  " << center << "center  " << alpha;
 
   for (unsigned int n = 0; n < reference->GetDimension(1); ++n)
   {
       imageData[reference->GetDimension(0)*n] = 0;
   }
 
   for (int n = 0; n < width; ++n)
   {
     if (n <= (alpha*(width - 1)) / 2)
     {
       imageData[reference->GetDimension(0)*(int)(n + center - (width / 2))] = (1 + cos(M_PI*(2 * n / (alpha*(width - 1)) - 1))) / 2;
     }
     else if (n >= (width - 1)*(1 - alpha / 2) && n <= (width - 1))
     {
       imageData[reference->GetDimension(0)*(int)(n + center - (width / 2))] = (1 + cos(M_PI*(2 * n / (alpha*(width - 1)) + 1 - 2 / alpha))) / 2;
     }
     else
     {
       imageData[reference->GetDimension(0)*(int)(n + center - (width / 2))] = 1;
     }
   }
 
   // Butterworth-Filter
   /*
   // first, write the HighPass
   if (cutoffFrequencyPixelHighPass != reference->GetDimension(1) / 2)
   {
     for (int n = 0; n < reference->GetDimension(1) / 2; ++n)
     {
       imageData[reference->GetDimension(0)*n] = 1 / (1 + pow(
         (float)n / (float)(reference->GetDimension(1) / 2 - cutoffFrequencyPixelHighPass)
         , 2 * butterworthOrder));
     }
   }
   else
   {
     for (int n = 0; n < reference->GetDimension(1) / 2; ++n)
     {
       imageData[reference->GetDimension(0)*n] = 1;
     }
   }
 
   // now, the LowPass
   for (int n = 0; n < reference->GetDimension(1) / 2; ++n)
   {
     imageData[reference->GetDimension(0)*n] *= 1 / (1 + pow(
       (float)(reference->GetDimension(1) / 2 - 1 - n) / (float)(reference->GetDimension(1) / 2 - cutoffFrequencyPixelLowPass)
       , 2 * butterworthOrder));
   }
   */
 
   // mirror the first half of the image
   for (unsigned int n = reference->GetDimension(1) / 2; n < reference->GetDimension(1); ++n)
   {
     imageData[reference->GetDimension(0)*n] = imageData[(reference->GetDimension(1) - (n + 1)) * reference->GetDimension(0)];
   }
   
 
   // copy and paste to all lines
   for (unsigned int line = 1; line < reference->GetDimension(0); ++line)
   {
     for (unsigned int sample = 0; sample < reference->GetDimension(1); ++sample)
     {
       imageData[reference->GetDimension(0)*sample + line] = imageData[reference->GetDimension(0)*sample];
     }
   }
 
   typedef itk::Image< float, 3U >  ImageType;
   ImageType::RegionType region;
   ImageType::IndexType start;
   start.Fill(0);
 
   region.SetIndex(start);
 
   ImageType::SizeType size;
   size[0] = reference->GetDimension(0);
   size[1] = reference->GetDimension(1);
   size[2] = reference->GetDimension(2);
 
   region.SetSize(size);
 
   ImageType::SpacingType SpacingItk;
   SpacingItk[0] = reference->GetGeometry()->GetSpacing()[0];
   SpacingItk[1] = reference->GetGeometry()->GetSpacing()[1];
   SpacingItk[2] = reference->GetGeometry()->GetSpacing()[2];
 
   ImageType::Pointer image = ImageType::New();
   image->SetRegions(region);
   image->Allocate();
   image->FillBuffer(itk::NumericTraits<float>::Zero);
   image->SetSpacing(SpacingItk);
 
   ImageType::IndexType pixelIndex;
 
   for (ImageType::IndexValueType slice = 0; slice < reference->GetDimension(2); ++slice)
   {
     for (ImageType::IndexValueType line = 0; line < reference->GetDimension(0); ++line)
     {
       for (ImageType::IndexValueType sample = 0; sample < reference->GetDimension(1); ++sample)
       {
         pixelIndex[0] = line;
         pixelIndex[1] = sample;
         pixelIndex[2] = slice;
 
         image->SetPixel(pixelIndex, imageData[line + sample*reference->GetDimension(0)]);
       }
     }
   }
 
   delete[] imageData;
 
   return image;
 }