diff --git a/Modules/PhotoacousticsAlgorithms/mitkPhotoacousticImage.cpp b/Modules/PhotoacousticsAlgorithms/mitkPhotoacousticImage.cpp
index 8745b81f28..b0dafea15f 100644
--- a/Modules/PhotoacousticsAlgorithms/mitkPhotoacousticImage.cpp
+++ b/Modules/PhotoacousticsAlgorithms/mitkPhotoacousticImage.cpp
@@ -1,587 +1,603 @@
 /*===================================================================
 
 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 "itkBModeImageFilter.h"
 #include "itkPhotoacousticBModeImageFilter.h"
 #include "mitkImageCast.h"
 #include "mitkITKImageImport.h"
 #include "mitkPhotoacousticBeamformingFilter.h"
 #include <chrono>
 #include <mitkAutoCropImageFilter.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 "itkFFT1DComplexConjugateToRealImageFilter.h"
 #include "itkFFT1DRealToComplexConjugateImageFilter.h"
 
 mitk::PhotoacousticImage::PhotoacousticImage()
 {
   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, bool UseLogFilter, float resampleSpacing)
 {
   // we use this seperate ApplyBmodeFilter Method for processing of two-dimensional images
 
   // 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::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] * (static_cast<double>(inputSize[0]) / static_cast<double>(outputSize[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(bmode);
   resampleImageFilter->SetSize(outputSize);
   resampleImageFilter->SetOutputSpacing(outputSpacing);
   resampleImageFilter->SetTransform(TransformType::New());
 
   resampleImageFilter->UpdateLargestPossibleRegion();
   return mitk::GrabItkImageMemory(resampleImageFilter->GetOutput());
 }
 
 /*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 inputSpacing = itkImage->GetSpacing();
   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) - above - below, maxSlice - 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 those float, short, float are used at all... though it's easy to add other ones
   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 unsigned shorto 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 unsigned shorto 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, BeamformingFilter::beamformingSettings config, int cutoff, std::function<void(int, std::string)> progressHandle)
 {
   // crop the image
   // set the Maximum Size of the image to 4096
   unsigned short lowerCutoff = (4096 + cutoff) < inputImage->GetDimension(1) ? inputImage->GetDimension(1) - 4096 : 0;
 
   config.RecordTime = config.RecordTime - (cutoff + lowerCutoff) / inputImage->GetDimension(1) * config.RecordTime; // adjust the recorded time lost by cropping
   progressHandle(0, "cropping image");
   if (!config.partial)
   {
     config.CropBounds[0] = 0;
     config.CropBounds[1] = inputImage->GetDimension(2) - 1;
   }
 
   Image::Pointer processedImage = ApplyCropping(inputImage, cutoff, lowerCutoff, 0, 0, config.CropBounds[0], config.CropBounds[1]);
 
   // resample the image in horizontal direction
   if (inputImage->GetDimension(0) != config.ReconstructionLines)
   {
     progressHandle(0, "resampling image");
     auto begin = std::chrono::high_resolution_clock::now();
     unsigned int dim[2] = { config.ReconstructionLines, processedImage->GetDimension(1) };
     processedImage = ApplyResampling(processedImage, dim);
     auto end = std::chrono::high_resolution_clock::now();
     MITK_DEBUG << "Upsampling from " << inputImage->GetDimension(0) << " to " << config.ReconstructionLines << " lines completed in " << ((double)std::chrono::duration_cast<std::chrono::nanoseconds>(end - begin).count()) / 1000000 << "ms" << std::endl;
   }
 
   // perform the beamforming
   BeamformingFilter::Pointer Beamformer = BeamformingFilter::New();
   Beamformer->SetInput(processedImage);
   Beamformer->Configure(config);
   Beamformer->SetProgressHandle(progressHandle);
   Beamformer->UpdateLargestPossibleRegion();
 
   processedImage = Beamformer->GetOutput();
 
   return processedImage;
 }
 
 mitk::Image::Pointer mitk::PhotoacousticImage::BandpassFilter(mitk::Image::Pointer data, float recordTime, float BPHighPass, float BPLowPass, float alpha)
 {
-  if (data->GetDimension(1) % 2 != 0)
+  MITK_INFO << "here";
+  bool powerOfTwo = false;
+  int finalPower = 0;
+  for (int i = 1; pow(2, i) <= data->GetDimension(1); ++i)
   {
-    int CropBounds[2] = { 0, data->GetDimension(2) - 1 };
-    data = ApplyCropping(data, 1, 0, 0, 0, CropBounds[0], CropBounds[1]);
-    //for the itk filter to work we make sure the 2nd dimension is a multiple of 2
+    MITK_INFO << "here";
+    finalPower = i;
+    if (pow(2, i) == data->GetDimension(1))
+    {
+      powerOfTwo = true;
+    }
+  }
+  MITK_INFO << "here";
+  if (!powerOfTwo)
+  {
+    unsigned int dim[2] = { data->GetDimension(0), pow(2,finalPower+1)};
+    MITK_INFO << "there";
+    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 (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 (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 (int line = 1; line < reference->GetDimension(0); ++line)
   {
     for (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;
 }
 
 
 /*
 mitk::CropFilter::CropFilter()
   : m_PixelCalculation(NULL)
 {
   this->AddSourceFile("CropFilter.cl");
 
   this->m_FilterID = "CropFilter";
 }
 
 mitk::CropFilter::~CropFilter()
 {
   if (this->m_PixelCalculation)
   {
     clReleaseKernel(m_PixelCalculation);
   }
 }
 
 void mitk::CropFilter::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::CropFilter::Execute()
 {
   cl_int clErr = 0;
 
   try
   {
     this->InitExec(this->m_PixelCalculation);
   }
   catch (const mitk::Exception& e)
   {
     MITK_ERROR << "Catched exception while initializing filter: " << e.what();
     return;
   }
 
   us::ServiceReference<OclResourceService> ref = GetModuleContext()->GetServiceReference<OclResourceService>();
   OclResourceService* resources = GetModuleContext()->GetService<OclResourceService>(ref);
   cl_context gpuContext = resources->GetContext();
 
   unsigned int size = m_OutputDim[0] * m_OutputDim[1] * m_OutputDim[2] * m_Images;
 
   cl_mem cl_input = clCreateBuffer(gpuContext, CL_MEM_READ_ONLY | CL_MEM_USE_HOST_PTR, sizeof(float) * size, m_Data, &clErr);
   CHECK_OCL_ERR(clErr);
 
   // set kernel arguments
   clErr = clSetKernelArg(this->m_PixelCalculation, 2, sizeof(cl_mem), &cl_input);
   clErr |= clSetKernelArg(this->m_PixelCalculation, 3, sizeof(cl_ushort), &(this->m_Images));
 
   CHECK_OCL_ERR(clErr);
 
   // execute the filter on a 3D NDRange
   this->ExecuteKernel(m_PixelCalculation, 3);
 
   // signalize the GPU-side data changed
   m_Output->Modified(GPU_DATA);
 }
 
 us::Module *mitk::CropFilter::GetModule()
 {
   return us::GetModuleContext()->GetModule();
 }
 
 bool mitk::CropFilter::Initialize()
 {
   bool buildErr = true;
   cl_int clErr = 0;
 
   if (OclFilter::Initialize())
   {
     this->m_PixelCalculation = clCreateKernel(this->m_ClProgram, "ckCrop", &clErr);
     buildErr |= CHECK_OCL_ERR(clErr);
   }
   return (OclFilter::IsInitialized() && buildErr);
 }
 
 void mitk::CropFilter::SetInput(mitk::Image::Pointer image)
 {
   if (image->GetDimension() != 3)
   {
     mitkThrowException(mitk::Exception) << "Input for " << this->GetNameOfClass() <<
       " is not 3D. The filter only supports 3D. Please change your input.";
   }
   OclImageToImageFilter::SetInput(image);
 }
 
 mitk::Image::Pointer mitk::CropFilter::GetOutput()
 {
   if (m_Output->IsModified(GPU_DATA))
   {
     void* pData = m_Output->TransferDataToCPU(m_CommandQue);
 
     const unsigned int dimension = 3;
     unsigned int* dimensions = m_OutputDim;
 
     const mitk::SlicedGeometry3D::Pointer p_slg = m_Input->GetMITKImage()->GetSlicedGeometry();
 
     MITK_DEBUG << "Creating new MITK Image.";
 
     m_Output->GetMITKImage()->Initialize(this->GetOutputType(), dimension, dimensions);
     m_Output->GetMITKImage()->SetSpacing(p_slg->GetSpacing());
     m_Output->GetMITKImage()->SetGeometry(m_Input->GetMITKImage()->GetGeometry());
     m_Output->GetMITKImage()->SetImportVolume(pData, 0, 0, mitk::Image::ReferenceMemory);
   }
 
   MITK_DEBUG << "Image Initialized.";
 
   return m_Output->GetMITKImage();
 }
 
 */
\ No newline at end of file