diff --git a/Modules/OpenCL/mitkOclDataSetToDataSetFilter.cpp b/Modules/OpenCL/mitkOclDataSetToDataSetFilter.cpp index b3d42fadfb..4028d5678d 100644 --- a/Modules/OpenCL/mitkOclDataSetToDataSetFilter.cpp +++ b/Modules/OpenCL/mitkOclDataSetToDataSetFilter.cpp @@ -1,131 +1,128 @@ /*=================================================================== 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 "mitkOclDataSetToDataSetFilter.h" #include "mitkOclDataSet.h" #include "mitkException.h" mitk::OclDataSetToDataSetFilter::OclDataSetToDataSetFilter() { m_Output = mitk::OclDataSet::New(); } mitk::OclDataSetToDataSetFilter::~OclDataSetToDataSetFilter() { } mitk::OclDataSet::Pointer mitk::OclDataSetToDataSetFilter::GetGPUOutput() { return this->m_Output; } void* mitk::OclDataSetToDataSetFilter::GetOutput() { void* pData = m_Output->TransferDataToCPU(m_CommandQue); return pData; } int mitk::OclDataSetToDataSetFilter::GetBytesPerElem() { return this->m_CurrentSizeOutput; } bool mitk::OclDataSetToDataSetFilter::InitExec(cl_kernel ckKernel, unsigned int* dimensions, size_t outputDataSize, unsigned int outputBpE) { cl_int clErr = 0; if (m_Input.IsNull()) mitkThrow() << "Input DataSet is null."; // get DataSet size once const unsigned int uiDataSetWidth = dimensions[0]; const unsigned int uiDataSetHeight = dimensions[1]; const unsigned int uiDataSetDepth = dimensions[2]; // compute work sizes this->SetWorkingSize(8, uiDataSetWidth, 8, uiDataSetHeight, 8, uiDataSetDepth); cl_mem clBuffIn = m_Input->GetGPUBuffer(); cl_mem clBuffOut = m_Output->GetGPUBuffer(); if (!clBuffIn) { if (m_Input->TransferDataToGPU(m_CommandQue) != CL_SUCCESS) { mitkThrow() << "Could not create / initialize gpu DataSet."; } clBuffIn = m_Input->GetGPUBuffer(); } // output DataSet not initialized if (!clBuffOut) { MITK_DEBUG << "Create GPU DataSet call " << uiDataSetWidth << "x" << uiDataSetHeight << "x" << uiDataSetDepth; m_Output->SetBpE(outputBpE); m_Output->SetBufferSize(outputDataSize); clBuffOut = m_Output->CreateGPUBuffer(); m_CurrentSizeOutput = outputBpE; } clErr = 0; clErr = clSetKernelArg(ckKernel, 0, sizeof(cl_mem), &clBuffIn); clErr |= clSetKernelArg(ckKernel, 1, sizeof(cl_mem), &clBuffOut); CHECK_OCL_ERR(clErr); if (clErr != CL_SUCCESS) mitkThrow() << "OpenCL Part initialization failed with " << GetOclErrorAsString(clErr); return(clErr == CL_SUCCESS); } bool mitk::OclDataSetToDataSetFilter::InitExecNoInput(cl_kernel ckKernel, unsigned int* dimensions, size_t outputDataSize, unsigned int outputBpE) { cl_int clErr = 0; - if (m_Input.IsNull()) - mitkThrow() << "Input DataSet is null."; - // get DataSet size once const unsigned int uiDataSetWidth = dimensions[0]; const unsigned int uiDataSetHeight = dimensions[1]; const unsigned int uiDataSetDepth = dimensions[2]; // compute work sizes this->SetWorkingSize(8, uiDataSetWidth, 8, uiDataSetHeight, 8, uiDataSetDepth); cl_mem clBuffOut = m_Output->GetGPUBuffer(); // output DataSet not initialized if (!clBuffOut) { MITK_DEBUG << "Create GPU DataSet call " << uiDataSetWidth << "x" << uiDataSetHeight << "x" << uiDataSetDepth; m_Output->SetBpE(outputBpE); m_Output->SetBufferSize(outputDataSize); clBuffOut = m_Output->CreateGPUBuffer(); m_CurrentSizeOutput = outputBpE; } clErr = clSetKernelArg(ckKernel, 0, sizeof(cl_mem), &clBuffOut); CHECK_OCL_ERR(clErr); if (clErr != CL_SUCCESS) mitkThrow() << "OpenCL Part initialization failed with " << GetOclErrorAsString(clErr); return(clErr == CL_SUCCESS); } \ No newline at end of file diff --git a/Modules/PhotoacousticsAlgorithms/Algorithms/OCL/mitkPhotoacousticOCLBeamformer.cpp b/Modules/PhotoacousticsAlgorithms/Algorithms/OCL/mitkPhotoacousticOCLBeamformer.cpp index af9a3e55be..b76e8ec278 100644 --- a/Modules/PhotoacousticsAlgorithms/Algorithms/OCL/mitkPhotoacousticOCLBeamformer.cpp +++ b/Modules/PhotoacousticsAlgorithms/Algorithms/OCL/mitkPhotoacousticOCLBeamformer.cpp @@ -1,212 +1,222 @@ /*=================================================================== 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. ===================================================================*/ #ifdef PHOTOACOUSTICS_USE_GPU #include "mitkPhotoacousticOCLBeamformer.h" #include "usServiceReference.h" mitk::PhotoacousticOCLBeamformingFilter::PhotoacousticOCLBeamformingFilter() : m_PixelCalculation( NULL ), m_InputImage(mitk::Image::New()) { this->AddSourceFile("DASQuadratic.cl"); this->AddSourceFile("DMASQuadratic.cl"); this->AddSourceFile("DASspherical.cl"); this->AddSourceFile("DMASspherical.cl"); unsigned int dim[] = { 128, 2048, 2 }; mitk::Vector3D spacing; spacing[0] = 1; spacing[1] = 1; spacing[2] = 1; m_InputImage->Initialize(mitk::MakeScalarPixelType(), 3, dim); m_InputImage->SetSpacing(spacing); this->m_FilterID = "PixelCalculation"; } mitk::PhotoacousticOCLBeamformingFilter::~PhotoacousticOCLBeamformingFilter() { if ( this->m_PixelCalculation ) { clReleaseKernel( m_PixelCalculation ); } } void mitk::PhotoacousticOCLBeamformingFilter::Update() { //Check if context & program available if (!this->Initialize()) { us::ServiceReference ref = GetModuleContext()->GetServiceReference(); OclResourceService* resources = GetModuleContext()->GetService(ref); // clean-up also the resources resources->InvalidateStorage(); mitkThrow() <<"Filter is not initialized. Cannot update."; } else{ // Execute this->Execute(); } } void mitk::PhotoacousticOCLBeamformingFilter::Execute() { cl_int clErr = 0; try { size_t outputSize = m_OutputDim[0] * m_OutputDim[1] * m_OutputDim[2]; this->InitExec(this->m_PixelCalculation, m_OutputDim, outputSize, sizeof(float)); } catch (const mitk::Exception& e) { MITK_ERROR << "Caught exception while initializing filter: " << e.what(); return; } if (m_Apodisation == nullptr) { MITK_INFO << "No apodisation function set; Beamforming will be done without any apodisation."; m_Apodisation = new float[1]; m_Apodisation[0] = 1; m_ApodArraySize = 1; } us::ServiceReference ref = GetModuleContext()->GetServiceReference(); OclResourceService* resources = GetModuleContext()->GetService(ref); cl_context gpuContext = resources->GetContext(); cl_mem cl_input = clCreateBuffer(gpuContext, CL_MEM_READ_ONLY | CL_MEM_USE_HOST_PTR, sizeof(float) * m_ApodArraySize, m_Apodisation, &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_ApodArraySize) ); - clErr |= clSetKernelArg( this->m_PixelCalculation, 4, sizeof(cl_float), &(this->m_SpeedOfSound) ); - clErr |= clSetKernelArg( this->m_PixelCalculation, 5, sizeof(cl_float), &(this->m_TimeSpacing) ); - clErr |= clSetKernelArg( this->m_PixelCalculation, 6, sizeof(cl_float), &(this->m_Pitch) ); - clErr |= clSetKernelArg( this->m_PixelCalculation, 7, sizeof(cl_float), &(this->m_Angle) ); - clErr |= clSetKernelArg( this->m_PixelCalculation, 8, sizeof(cl_ushort), &(this->m_PAImage)); - clErr |= clSetKernelArg(this->m_PixelCalculation, 9, sizeof(cl_ushort), &(this->m_TransducerElements)); - clErr |= clSetKernelArg(this->m_PixelCalculation, 10, sizeof(cl_uint), &(this->m_InputDim[0])); - clErr |= clSetKernelArg(this->m_PixelCalculation, 11, sizeof(cl_uint), &(this->m_InputDim[1])); - clErr |= clSetKernelArg(this->m_PixelCalculation, 12, sizeof(cl_uint), &(this->m_InputDim[2])); - clErr |= clSetKernelArg(this->m_PixelCalculation, 13, sizeof(cl_uint), &(this->m_OutputDim[0])); - clErr |= clSetKernelArg(this->m_PixelCalculation, 14, sizeof(cl_uint), &(this->m_OutputDim[1])); - - CHECK_OCL_ERR( clErr ); - - size_t chunkSize[3] = { 128, 128, 8 }; - - // execute the filter on a 3D NDRange - if (m_OutputDim[2] == 1) - this->ExecuteKernelChunks(m_PixelCalculation, 2, chunkSize); + m_PAImage = (unsigned short)m_Conf.Photoacoustic; + + if (true || m_Conf.Algorithm == BeamformingFilter::beamformingSettings::BeamformingAlgorithm::DAS) + { + // 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_ApodArraySize)); + clErr |= clSetKernelArg(this->m_PixelCalculation, 4, sizeof(cl_float), &(this->m_Conf.SpeedOfSound)); + clErr |= clSetKernelArg(this->m_PixelCalculation, 5, sizeof(cl_float), &(this->m_Conf.TimeSpacing)); + clErr |= clSetKernelArg(this->m_PixelCalculation, 6, sizeof(cl_float), &(this->m_Conf.Pitch)); + clErr |= clSetKernelArg(this->m_PixelCalculation, 7, sizeof(cl_float), &(this->m_Conf.Angle)); + clErr |= clSetKernelArg(this->m_PixelCalculation, 8, sizeof(cl_ushort), &(this->m_PAImage)); + clErr |= clSetKernelArg(this->m_PixelCalculation, 9, sizeof(cl_ushort), &(this->m_Conf.TransducerElements)); + clErr |= clSetKernelArg(this->m_PixelCalculation, 10, sizeof(cl_uint), &(this->m_InputDim[0])); + clErr |= clSetKernelArg(this->m_PixelCalculation, 11, sizeof(cl_uint), &(this->m_InputDim[1])); + clErr |= clSetKernelArg(this->m_PixelCalculation, 12, sizeof(cl_uint), &(this->m_InputDim[2])); + clErr |= clSetKernelArg(this->m_PixelCalculation, 13, sizeof(cl_uint), &(this->m_OutputDim[0])); + clErr |= clSetKernelArg(this->m_PixelCalculation, 14, sizeof(cl_uint), &(this->m_OutputDim[1])); + + CHECK_OCL_ERR(clErr); + + size_t chunkSize[3] = { 128, 128, 8 }; + + // execute the filter on a 3D NDRange + if (m_OutputDim[2] == 1) + this->ExecuteKernelChunks(m_PixelCalculation, 2, chunkSize); + else + this->ExecuteKernelChunks(m_PixelCalculation, 3, chunkSize); + } else - this->ExecuteKernelChunks(m_PixelCalculation, 3, chunkSize); + { + + } // signalize the GPU-side data changed m_Output->Modified( GPU_DATA ); } us::Module *mitk::PhotoacousticOCLBeamformingFilter::GetModule() { return us::GetModuleContext()->GetModule(); } bool mitk::PhotoacousticOCLBeamformingFilter::Initialize() { bool buildErr = true; cl_int clErr = 0; if ( OclFilter::Initialize() ) { - switch (m_Algorithm) + switch (m_Conf.Algorithm) { - case BeamformingAlgorithm::DASQuad: + case BeamformingFilter::beamformingSettings::BeamformingAlgorithm::DAS: { - this->m_PixelCalculation = clCreateKernel(this->m_ClProgram, "ckDASQuad", &clErr); + if(m_Conf.DelayCalculationMethod == BeamformingFilter::beamformingSettings::DelayCalc::QuadApprox) + this->m_PixelCalculation = clCreateKernel(this->m_ClProgram, "ckDASQuad", &clErr); + else if (m_Conf.DelayCalculationMethod == BeamformingFilter::beamformingSettings::DelayCalc::Spherical) + this->m_PixelCalculation = clCreateKernel(this->m_ClProgram, "ckDASSphe", &clErr); break; } - case BeamformingAlgorithm::DMASQuad: + case BeamformingFilter::beamformingSettings::BeamformingAlgorithm::DMAS: { - this->m_PixelCalculation = clCreateKernel(this->m_ClProgram, "ckDMASQuad", &clErr); + if (m_Conf.DelayCalculationMethod == BeamformingFilter::beamformingSettings::DelayCalc::QuadApprox) + this->m_PixelCalculation = clCreateKernel(this->m_ClProgram, "ckDMASQuad", &clErr); + else if (m_Conf.DelayCalculationMethod == BeamformingFilter::beamformingSettings::DelayCalc::Spherical) + this->m_PixelCalculation = clCreateKernel(this->m_ClProgram, "ckDASSphe", &clErr); break; } - case BeamformingAlgorithm::DASSphe: + default: { - this->m_PixelCalculation = clCreateKernel(this->m_ClProgram, "ckDASSphe", &clErr); - break; - } - case BeamformingAlgorithm::DMASSphe: - { - this->m_PixelCalculation = clCreateKernel(this->m_ClProgram, "ckDMASSphe", &clErr); + this->m_PixelCalculation = clCreateKernel(this->m_ClProgram, "ckDASQuad", &clErr); break; } } buildErr |= CHECK_OCL_ERR( clErr ); } return (OclFilter::IsInitialized() && buildErr ); } void mitk::PhotoacousticOCLBeamformingFilter::SetInput(mitk::Image::Pointer image) { OclDataSetToDataSetFilter::SetInput(image); m_InputImage = image; m_InputDim[0] = m_InputImage->GetDimension(0); m_InputDim[1] = m_InputImage->GetDimension(1); m_InputDim[2] = m_InputImage->GetDimension(2); } void mitk::PhotoacousticOCLBeamformingFilter::SetInput(void* data, unsigned int* dimensions, unsigned int BpE) { OclDataSetToDataSetFilter::SetInput(data, dimensions[0] * dimensions[1] * dimensions[2], BpE); m_InputDim[0] = dimensions[0]; m_InputDim[1] = dimensions[1]; m_InputDim[2] = dimensions[2]; } mitk::Image::Pointer mitk::PhotoacousticOCLBeamformingFilter::GetOutputAsImage() { mitk::Image::Pointer outputImage = mitk::Image::New(); if (m_Output->IsModified(GPU_DATA)) { void* pData = m_Output->TransferDataToCPU(m_CommandQue); const unsigned int dimension = 3; unsigned int dimensions[3] = { (unsigned int)m_OutputDim[0], (unsigned int)m_OutputDim[1], (unsigned int)m_OutputDim[2] }; const mitk::SlicedGeometry3D::Pointer p_slg = m_InputImage->GetSlicedGeometry(); MITK_DEBUG << "Creating new MITK Image."; outputImage->Initialize(this->GetOutputType(), dimension, dimensions); outputImage->SetSpacing(p_slg->GetSpacing()); outputImage->SetGeometry(m_InputImage->GetGeometry()); outputImage->SetImportVolume(pData, 0, 0, mitk::Image::ReferenceMemory); } MITK_DEBUG << "Image Initialized."; return outputImage; } #endif diff --git a/Modules/PhotoacousticsAlgorithms/Algorithms/OCL/mitkPhotoacousticOCLBeamformer.h b/Modules/PhotoacousticsAlgorithms/Algorithms/OCL/mitkPhotoacousticOCLBeamformer.h index 525396be91..dd6a59ef94 100644 --- a/Modules/PhotoacousticsAlgorithms/Algorithms/OCL/mitkPhotoacousticOCLBeamformer.h +++ b/Modules/PhotoacousticsAlgorithms/Algorithms/OCL/mitkPhotoacousticOCLBeamformer.h @@ -1,141 +1,125 @@ /*=================================================================== 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 _MITKPHOTOACOUSTICSOCLBEAMFORMER_H_ #define _MITKPHOTOACOUSTICSOCLBEAMFORMER_H_ #ifdef PHOTOACOUSTICS_USE_GPU #include "mitkOclDataSetToDataSetFilter.h" #include +#include "mitkPhotoacousticBeamformingFilter.h" +#include namespace mitk { /** Documentation * * \brief The OclBinaryThresholdImageFilter computes a binary segmentation based on given threshold values. * * The filter requires two threshold values ( the upper and the lower threshold ) and two image values ( inside and outside ). The resulting voxel of the segmentation image is assigned the inside value 1 if the image value is between the given thresholds and the outside value otherwise. */ - class PhotoacousticOCLBeamformingFilter : public OclDataSetToDataSetFilter, public itk::Object { public: mitkClassMacroItkParent(PhotoacousticOCLBeamformingFilter, itk::Object); itkNewMacro(Self); /** * @brief SetInput Set the input data through an image. Arbitrary images are supported */ void SetInput(Image::Pointer image); /** * @brief SetInput Manually set the input data while providing dimensions and memory size of the input data. */ void SetInput(void* data, unsigned int* dimensions, unsigned int BpE); /** * @brief GetOutputAsImage Returns an mitk::Image constructed from the processed data */ mitk::Image::Pointer GetOutputAsImage(); /** Update the filter */ void Update(); /** Set the Output dimensions, which are also used for the openCL global worksize */ void SetOutputDim( unsigned int outputDim[3]) { m_OutputDim[0] = outputDim[0]; m_OutputDim[1] = outputDim[1]; m_OutputDim[2] = outputDim[2]; } /** Set the Apodisation function to apply when beamforming */ void SetApodisation(float* apodisation, unsigned short apodArraySize) { m_ApodArraySize = apodArraySize; m_Apodisation = apodisation; } - enum BeamformingAlgorithm { DASQuad, DMASQuad, DASSphe, DMASSphe }; - - /** Set which Algorithm should be used for beamforming */ - void SetAlgorithm(BeamformingAlgorithm algorithm, bool PA) - { - m_Algorithm = algorithm; - m_PAImage = PA; - } - - /** Set various beamforming parameters */ - void SetBeamformingParameters(float SpeedOfSound, float timeSpacing, float Pitch, float Angle, bool PAImage, unsigned short transducerElements) + void SetConfig(BeamformingFilter::beamformingSettings settings) { - m_SpeedOfSound = SpeedOfSound; - m_TimeSpacing = timeSpacing; - m_Pitch = Pitch; - m_Angle = Angle; - m_PAImage = PAImage; - m_TransducerElements = transducerElements; + m_Conf = settings; } protected: /** Constructor */ PhotoacousticOCLBeamformingFilter(); /** Destructor */ virtual ~PhotoacousticOCLBeamformingFilter(); /** Initialize the filter */ bool Initialize(); void Execute(); mitk::PixelType GetOutputType() { return mitk::MakeScalarPixelType(); } int GetBytesPerElem() { return sizeof(float); } virtual us::Module* GetModule(); private: /** The OpenCL kernel for the filter */ cl_kernel m_PixelCalculation; unsigned int m_OutputDim[3]; unsigned int m_InputDim[3]; + float* m_Apodisation; unsigned short m_ApodArraySize; - BeamformingAlgorithm m_Algorithm; + unsigned short m_PAImage; - float m_SpeedOfSound; - float m_TimeSpacing; - float m_Pitch; - float m_Angle; - unsigned short m_TransducerElements; + + BeamformingFilter::beamformingSettings m_Conf; mitk::Image::Pointer m_InputImage; }; } #endif #endif diff --git a/Modules/PhotoacousticsAlgorithms/Algorithms/OCL/mitkPhotoacousticOCLUsedLinesCalculation.cpp b/Modules/PhotoacousticsAlgorithms/Algorithms/OCL/mitkPhotoacousticOCLUsedLinesCalculation.cpp index 315794f50c..b924964ae1 100644 --- a/Modules/PhotoacousticsAlgorithms/Algorithms/OCL/mitkPhotoacousticOCLUsedLinesCalculation.cpp +++ b/Modules/PhotoacousticsAlgorithms/Algorithms/OCL/mitkPhotoacousticOCLUsedLinesCalculation.cpp @@ -1,111 +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. ===================================================================*/ #define _USE_MATH_DEFINES #include #include "mitkPhotoacousticOCLUsedLinesCalculation.h" #include "usServiceReference.h" #include "mitkImageReadAccessor.h" mitk::OCLUsedLinesCalculation::OCLUsedLinesCalculation() : m_PixelCalculation(NULL) { this->AddSourceFile("UsedLinesCalculation.cl"); - this->m_FilterID = "PixelCalculation"; + this->m_FilterID = "UsedLinesCalculation"; } mitk::OCLUsedLinesCalculation::~OCLUsedLinesCalculation() { if (this->m_PixelCalculation) { clReleaseKernel(m_PixelCalculation); } } void mitk::OCLUsedLinesCalculation::Update() { //Check if context & program available if (!this->Initialize()) { us::ServiceReference ref = GetModuleContext()->GetServiceReference(); OclResourceService* resources = GetModuleContext()->GetService(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 outputDim[3] = { m_Conf.ReconstructionLines * 3, m_Conf.SamplesPerLine, m_Conf.Slices }; - size_t outputSize = outputDim[0] * outputDim[1] * outputDim[2]; + 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, outputDim, outputSize, sizeof(unsigned short)); + 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_InputLines; + 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.ReconstructionLines)); - clErr |= clSetKernelArg(this->m_PixelCalculation, 3, sizeof(cl_uint), &(this->m_Conf.SamplesPerLine)); - clErr |= clSetKernelArg(this->m_PixelCalculation, 4, sizeof(cl_uint), &(this->m_Conf.Slices)); + 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])); CHECK_OCL_ERR(clErr); - size_t chunkSize[3] = { 128, 128, 8 }; - // execute the filter on a 3D NDRange - if (outputDim[2] == 1) - this->ExecuteKernelChunks(m_PixelCalculation, 2, chunkSize); - else - this->ExecuteKernelChunks(m_PixelCalculation, 3, chunkSize); + this->ExecuteKernel(m_PixelCalculation, 2); // 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); } \ No newline at end of file diff --git a/Modules/PhotoacousticsAlgorithms/Algorithms/OCL/mitkPhotoacousticOCLUsedLinesCalculation.h b/Modules/PhotoacousticsAlgorithms/Algorithms/OCL/mitkPhotoacousticOCLUsedLinesCalculation.h index 64b16ebb41..8e3ab5d865 100644 --- a/Modules/PhotoacousticsAlgorithms/Algorithms/OCL/mitkPhotoacousticOCLUsedLinesCalculation.h +++ b/Modules/PhotoacousticsAlgorithms/Algorithms/OCL/mitkPhotoacousticOCLUsedLinesCalculation.h @@ -1,101 +1,95 @@ /*=================================================================== 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 _MITKPHOTOACOUSTICSTESTOCL_H_ #define _MITKPHOTOACOUSTICSTESTOCL_H_ #ifdef PHOTOACOUSTICS_USE_GPU #include "mitkOclDataSetToDataSetFilter.h" #include #include namespace mitk { /** Documentation * * \brief The OclBinaryThresholdImageFilter computes a binary segmentation based on given threshold values. * * The filter requires two threshold values ( the upper and the lower threshold ) and two image values ( inside and outside ). The resulting voxel of the segmentation image is assigned the inside value 1 if the image value is between the given thresholds and the outside value otherwise. */ class OCLUsedLinesCalculation : public OclDataSetToDataSetFilter, public itk::Object { public: mitkClassMacroItkParent(OCLUsedLinesCalculation, itk::Object); itkNewMacro(Self); /** * @brief SetInput Set the input image. Only 3D images are supported for now. * @param image a 3D image. * @throw mitk::Exception if the dimesion is not 3. */ /** Update the filter */ void Update(); void SetConfig(mitk::BeamformingFilter::beamformingSettings conf) { m_Conf = conf; } protected: /** Constructor */ OCLUsedLinesCalculation(); /** Destructor */ virtual ~OCLUsedLinesCalculation(); /** Initialize the filter */ bool Initialize(); void Execute(); mitk::PixelType GetOutputType() { return mitk::MakeScalarPixelType(); } int GetBytesPerElem() { return sizeof(unsigned short); } - void SetInputLines(unsigned int inputL) - { - m_InputLines = inputL; - } - virtual us::Module* GetModule(); int m_sizeThis; private: /** The OpenCL kernel for the filter */ cl_kernel m_PixelCalculation; mitk::BeamformingFilter::beamformingSettings m_Conf; float m_part; - unsigned int m_InputLines; }; } #endif #endif \ No newline at end of file diff --git a/Modules/PhotoacousticsAlgorithms/Algorithms/mitkPhotoacousticBeamformingFilter.cpp b/Modules/PhotoacousticsAlgorithms/Algorithms/mitkPhotoacousticBeamformingFilter.cpp index 3b9627370a..8a4321f466 100644 --- a/Modules/PhotoacousticsAlgorithms/Algorithms/mitkPhotoacousticBeamformingFilter.cpp +++ b/Modules/PhotoacousticsAlgorithms/Algorithms/mitkPhotoacousticBeamformingFilter.cpp @@ -1,557 +1,542 @@ /*=================================================================== mitkPhotoacousticBeamformingFilter 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 "mitkPhotoacousticBeamformingFilter.h" #include "mitkProperties.h" #include "mitkImageReadAccessor.h" #include #include #include #include #include #include #include "mitkImageCast.h" #include mitk::BeamformingFilter::BeamformingFilter() : m_OutputData(nullptr), m_InputData(nullptr) { this->SetNumberOfIndexedInputs(1); this->SetNumberOfRequiredInputs(1); m_ProgressHandle = [](int, std::string) {}; } void mitk::BeamformingFilter::SetProgressHandle(std::function progressHandle) { m_ProgressHandle = progressHandle; } mitk::BeamformingFilter::~BeamformingFilter() { } void mitk::BeamformingFilter::GenerateInputRequestedRegion() { Superclass::GenerateInputRequestedRegion(); mitk::Image* output = this->GetOutput(); mitk::Image* input = const_cast (this->GetInput()); if (!output->IsInitialized()) { return; } input->SetRequestedRegionToLargestPossibleRegion(); //GenerateTimeInInputRegion(output, input); } void mitk::BeamformingFilter::GenerateOutputInformation() { mitk::Image::ConstPointer input = this->GetInput(); mitk::Image::Pointer output = this->GetOutput(); if ((output->IsInitialized()) && (this->GetMTime() <= m_TimeOfHeaderInitialization.GetMTime())) return; itkDebugMacro(<< "GenerateOutputInformation()"); unsigned int dim[] = { m_Conf.ReconstructionLines, m_Conf.SamplesPerLine, input->GetDimension(2) }; output->Initialize(mitk::MakeScalarPixelType(), 3, dim); mitk::Vector3D spacing; spacing[0] = m_Conf.Pitch * m_Conf.TransducerElements * 1000 / m_Conf.ReconstructionLines; spacing[1] = m_Conf.RecordTime / 2 * m_Conf.SpeedOfSound * 1000 / m_Conf.SamplesPerLine; spacing[2] = 1; output->GetGeometry()->SetSpacing(spacing); output->GetGeometry()->Modified(); output->SetPropertyList(input->GetPropertyList()->Clone()); m_TimeOfHeaderInitialization.Modified(); } void mitk::BeamformingFilter::GenerateData() { GenerateOutputInformation(); mitk::Image::Pointer input = this->GetInput(); mitk::Image::Pointer output = this->GetOutput(); if (!output->IsInitialized()) return; const int apodArraySize = m_Conf.TransducerElements * 4; // set the resolution of the apodization array float* ApodWindow; // calculate the appropiate apodization window switch (m_Conf.Apod) { case beamformingSettings::Apodization::Hann: ApodWindow = VonHannFunction(apodArraySize); break; case beamformingSettings::Apodization::Hamm: ApodWindow = HammFunction(apodArraySize); break; case beamformingSettings::Apodization::Box: ApodWindow = BoxFunction(apodArraySize); break; default: ApodWindow = BoxFunction(apodArraySize); break; } auto begin = std::chrono::high_resolution_clock::now(); // debbuging the performance... if (!m_Conf.UseGPU) { int progInterval = output->GetDimension(2) / 20 > 1 ? output->GetDimension(2) / 20 : 1; // the interval at which we update the gui progress bar float inputDim[2] = { (float)input->GetDimension(0), (float)input->GetDimension(1) }; float outputDim[2] = { (float)output->GetDimension(0), (float)output->GetDimension(1) }; for (unsigned int i = 0; i < output->GetDimension(2); ++i) // seperate Slices should get Beamforming seperately applied { mitk::ImageReadAccessor inputReadAccessor(input, input->GetSliceData(i)); // first, we check whether the dara is float, other formats are unsupported if (input->GetPixelType().GetTypeAsString() == "scalar (float)" || input->GetPixelType().GetTypeAsString() == " (float)") { m_InputData = (float*)inputReadAccessor.GetData(); } else { MITK_INFO << "Pixel type is not float, abort"; return; } m_OutputData = new float[m_Conf.ReconstructionLines*m_Conf.SamplesPerLine]; // fill the image with zeros for (int l = 0; l < outputDim[0]; ++l) { for (int s = 0; s < outputDim[1]; ++s) { m_OutputData[l*(short)outputDim[1] + s] = 0; } } std::thread *threads = new std::thread[(short)outputDim[0]]; // every line will be beamformed in a seperate thread if (m_Conf.Algorithm == beamformingSettings::BeamformingAlgorithm::DAS) { if (m_Conf.DelayCalculationMethod == beamformingSettings::DelayCalc::QuadApprox) { for (short line = 0; line < outputDim[0]; ++line) { threads[line] = std::thread(&BeamformingFilter::DASQuadraticLine, this, m_InputData, m_OutputData, inputDim, outputDim, line, ApodWindow, apodArraySize); } } else if (m_Conf.DelayCalculationMethod == beamformingSettings::DelayCalc::Spherical) { for (short line = 0; line < outputDim[0]; ++line) { threads[line] = std::thread(&BeamformingFilter::DASSphericalLine, this, m_InputData, m_OutputData, inputDim, outputDim, line, ApodWindow, apodArraySize); } } } else if (m_Conf.Algorithm == beamformingSettings::BeamformingAlgorithm::DMAS) { if (m_Conf.DelayCalculationMethod == beamformingSettings::DelayCalc::QuadApprox) { for (short line = 0; line < outputDim[0]; ++line) { threads[line] = std::thread(&BeamformingFilter::DMASQuadraticLine, this, m_InputData, m_OutputData, inputDim, outputDim, line, ApodWindow, apodArraySize); } } else if (m_Conf.DelayCalculationMethod == beamformingSettings::DelayCalc::Spherical) { for (short line = 0; line < outputDim[0]; ++line) { threads[line] = std::thread(&BeamformingFilter::DMASSphericalLine, this, m_InputData, m_OutputData, inputDim, outputDim, line, ApodWindow, apodArraySize); } } } // wait for all lines to finish for (short line = 0; line < outputDim[0]; ++line) { threads[line].join(); } output->SetSlice(m_OutputData, i); if (i % progInterval == 0) m_ProgressHandle((int)((i + 1) / (float)output->GetDimension(2) * 100), "performing reconstruction"); delete[] m_OutputData; m_OutputData = nullptr; m_InputData = nullptr; } } #ifdef PHOTOACOUSTICS_USE_GPU else { try { // first, we check whether the data is float, other formats are unsupported if (!(input->GetPixelType().GetTypeAsString() == "scalar (float)" || input->GetPixelType().GetTypeAsString() == " (float)")) { MITK_ERROR << "Pixel type is not float, abort"; return; } m_ProgressHandle(50, "performing reconstruction"); mitk::PhotoacousticOCLBeamformingFilter::Pointer m_oclFilter = mitk::PhotoacousticOCLBeamformingFilter::New(); - if (m_Conf.Algorithm == beamformingSettings::BeamformingAlgorithm::DAS) - { - if (m_Conf.DelayCalculationMethod == beamformingSettings::DelayCalc::QuadApprox) - m_oclFilter->SetAlgorithm(PhotoacousticOCLBeamformingFilter::BeamformingAlgorithm::DASQuad, true); - else if (m_Conf.DelayCalculationMethod == beamformingSettings::DelayCalc::Spherical) - m_oclFilter->SetAlgorithm(PhotoacousticOCLBeamformingFilter::BeamformingAlgorithm::DASSphe, true); - } - else if (m_Conf.Algorithm == beamformingSettings::BeamformingAlgorithm::DMAS) - { - if (m_Conf.DelayCalculationMethod == beamformingSettings::DelayCalc::QuadApprox) - m_oclFilter->SetAlgorithm(PhotoacousticOCLBeamformingFilter::BeamformingAlgorithm::DMASQuad, true); - else if (m_Conf.DelayCalculationMethod == beamformingSettings::DelayCalc::Spherical) - m_oclFilter->SetAlgorithm(PhotoacousticOCLBeamformingFilter::BeamformingAlgorithm::DMASSphe, true); - } - m_oclFilter->SetApodisation(ApodWindow, apodArraySize); - m_oclFilter->SetBeamformingParameters(m_Conf.SpeedOfSound, m_Conf.TimeSpacing, m_Conf.Pitch, m_Conf.Angle, m_Conf.Photoacoustic, m_Conf.TransducerElements); + m_oclFilter->SetConfig(m_Conf); m_oclFilter->SetOutputDim(output->GetDimensions()); m_oclFilter->SetInput(input); m_oclFilter->Update(); void* out = m_oclFilter->GetOutput(); output->SetImportVolume(out, 0, 0, mitk::Image::ReferenceMemory); } catch (mitk::Exception &e) { std::string errorMessage = "Caught unexpected exception "; errorMessage.append(e.what()); MITK_ERROR << errorMessage; } } #endif m_TimeOfHeaderInitialization.Modified(); auto end = std::chrono::high_resolution_clock::now(); MITK_INFO << "Beamforming of " << output->GetDimension(2) << " Images completed in " << ((float)std::chrono::duration_cast(end - begin).count()) / 1000000 << "ms" << std::endl; } void mitk::BeamformingFilter::Configure(beamformingSettings settings) { m_Conf = settings; } float* mitk::BeamformingFilter::VonHannFunction(int samples) { float* ApodWindow = new float[samples]; for (int n = 0; n < samples; ++n) { ApodWindow[n] = (1 - cos(2 * M_PI * n / (samples - 1))) / 2; } return ApodWindow; } float* mitk::BeamformingFilter::HammFunction(int samples) { float* ApodWindow = new float[samples]; for (int n = 0; n < samples; ++n) { ApodWindow[n] = 0.54 - 0.46*cos(2 * M_PI*n / (samples - 1)); } return ApodWindow; } float* mitk::BeamformingFilter::BoxFunction(int samples) { float* ApodWindow = new float[samples]; for (int n = 0; n < samples; ++n) { ApodWindow[n] = 1; } return ApodWindow; } void mitk::BeamformingFilter::DASQuadraticLine(float* input, float* output, float inputDim[2], float outputDim[2], const short& line, float* apodisation, const short& apodArraySize) { float& inputS = inputDim[1]; float& inputL = inputDim[0]; float& outputS = outputDim[1]; float& outputL = outputDim[0]; short AddSample = 0; short maxLine = 0; short minLine = 0; float delayMultiplicator = 0; float l_i = 0; float s_i = 0; float part = 0.07 * inputL; float tan_phi = std::tan(m_Conf.Angle / 360 * 2 * M_PI); float part_multiplicator = tan_phi * m_Conf.TimeSpacing * m_Conf.SpeedOfSound / m_Conf.Pitch * inputL / m_Conf.TransducerElements; float apod_mult = 1; short usedLines = (maxLine - minLine); //quadratic delay l_i = line / outputL * inputL; for (short sample = 0; sample < outputS; ++sample) { s_i = (float)sample / outputS * inputS / 2; part = part_multiplicator*s_i; if (part < 1) part = 1; maxLine = (short)std::min((l_i + part) + 1, inputL); minLine = (short)std::max((l_i - part), 0.0f); usedLines = (maxLine - minLine); apod_mult = apodArraySize / (maxLine - minLine); delayMultiplicator = pow((1 / (m_Conf.TimeSpacing*m_Conf.SpeedOfSound) * (m_Conf.Pitch*m_Conf.TransducerElements) / inputL), 2) / s_i / 2; for (short l_s = minLine; l_s < maxLine; ++l_s) { AddSample = delayMultiplicator * pow((l_s - l_i), 2) + s_i + (1 - m_Conf.Photoacoustic)*s_i; if (AddSample < inputS && AddSample >= 0) output[sample*(short)outputL + line] += input[l_s + AddSample*(short)inputL] * apodisation[(short)((l_s - minLine)*apod_mult)]; else --usedLines; } output[sample*(short)outputL + line] = output[sample*(short)outputL + line] / usedLines; } } void mitk::BeamformingFilter::DASSphericalLine(float* input, float* output, float inputDim[2], float outputDim[2], const short& line, float* apodisation, const short& apodArraySize) { float& inputS = inputDim[1]; float& inputL = inputDim[0]; float& outputS = outputDim[1]; float& outputL = outputDim[0]; short AddSample = 0; short maxLine = 0; short minLine = 0; float l_i = 0; float s_i = 0; float part = 0.07 * inputL; float tan_phi = std::tan(m_Conf.Angle / 360 * 2 * M_PI); float part_multiplicator = tan_phi * m_Conf.TimeSpacing * m_Conf.SpeedOfSound / m_Conf.Pitch * inputL / m_Conf.TransducerElements; float apod_mult = 1; short usedLines = (maxLine - minLine); //exact delay l_i = (float)line / outputL * inputL; for (short sample = 0; sample < outputS; ++sample) { s_i = (float)sample / outputS * inputS / 2; part = part_multiplicator*s_i; if (part < 1) part = 1; maxLine = (short)std::min((l_i + part) + 1, inputL); minLine = (short)std::max((l_i - part), 0.0f); usedLines = (maxLine - minLine); apod_mult = apodArraySize / (maxLine - minLine); for (short l_s = minLine; l_s < maxLine; ++l_s) { AddSample = (int)sqrt( pow(s_i, 2) + pow((1 / (m_Conf.TimeSpacing*m_Conf.SpeedOfSound) * ((l_s - l_i)*m_Conf.Pitch*m_Conf.TransducerElements) / inputL), 2) ) + (1 - m_Conf.Photoacoustic)*s_i; if (AddSample < inputS && AddSample >= 0) output[sample*(short)outputL + line] += input[l_s + AddSample*(short)inputL] * apodisation[(short)((l_s - minLine)*apod_mult)]; else --usedLines; } output[sample*(short)outputL + line] = output[sample*(short)outputL + line] / usedLines; } } void mitk::BeamformingFilter::DMASQuadraticLine(float* input, float* output, float inputDim[2], float outputDim[2], const short& line, float* apodisation, const short& apodArraySize) { float& inputS = inputDim[1]; float& inputL = inputDim[0]; float& outputS = outputDim[1]; float& outputL = outputDim[0]; short maxLine = 0; short minLine = 0; float delayMultiplicator = 0; float l_i = 0; float s_i = 0; float part = 0.07 * inputL; float tan_phi = std::tan(m_Conf.Angle / 360 * 2 * M_PI); float part_multiplicator = tan_phi * m_Conf.TimeSpacing * m_Conf.SpeedOfSound / m_Conf.Pitch * inputL / m_Conf.TransducerElements; float apod_mult = 1; float mult = 0; short usedLines = (maxLine - minLine); //quadratic delay l_i = line / outputL * inputL; for (short sample = 0; sample < outputS; ++sample) { s_i = sample / outputS * inputS / 2; part = part_multiplicator*s_i; if (part < 1) part = 1; maxLine = (short)std::min((l_i + part) + 1, inputL); minLine = (short)std::max((l_i - part), 0.0f); usedLines = (maxLine - minLine); apod_mult = apodArraySize / (maxLine - minLine); delayMultiplicator = pow((1 / (m_Conf.TimeSpacing*m_Conf.SpeedOfSound) * (m_Conf.Pitch*m_Conf.TransducerElements) / inputL), 2) / s_i / 2; //calculate the AddSamples beforehand to save some time short* AddSample = new short[maxLine - minLine]; for (short l_s = 0; l_s < maxLine - minLine; ++l_s) { AddSample[l_s] = (short)(delayMultiplicator * pow((minLine + l_s - l_i), 2) + s_i) + (1 - m_Conf.Photoacoustic)*s_i; } for (short l_s1 = minLine; l_s1 < maxLine - 1; ++l_s1) { if (AddSample[l_s1 - minLine] < (short)inputS && AddSample[l_s1 - minLine] >= 0) { for (short l_s2 = l_s1 + 1; l_s2 < maxLine; ++l_s2) { if (AddSample[l_s2 - minLine] < inputS && AddSample[l_s2 - minLine] >= 0) { mult = input[l_s2 + AddSample[l_s2 - minLine] * (short)inputL] * apodisation[(short)((l_s2 - minLine)*apod_mult)] * input[l_s1 + AddSample[l_s1 - minLine] * (short)inputL] * apodisation[(short)((l_s1 - minLine)*apod_mult)]; output[sample*(short)outputL + line] += sqrt(abs(mult)) * ((mult > 0) - (mult < 0)); } } } else --usedLines; } output[sample*(short)outputL + line] = 10 * output[sample*(short)outputL + line] / (pow(usedLines, 2) - (usedLines - 1)); delete[] AddSample; } } void mitk::BeamformingFilter::DMASSphericalLine(float* input, float* output, float inputDim[2], float outputDim[2], const short& line, float* apodisation, const short& apodArraySize) { float& inputS = inputDim[1]; float& inputL = inputDim[0]; float& outputS = outputDim[1]; float& outputL = outputDim[0]; short maxLine = 0; short minLine = 0; float l_i = 0; float s_i = 0; float part = 0.07 * inputL; float tan_phi = std::tan(m_Conf.Angle / 360 * 2 * M_PI); float part_multiplicator = tan_phi * m_Conf.TimeSpacing * m_Conf.SpeedOfSound / m_Conf.Pitch * inputL / m_Conf.TransducerElements; float apod_mult = 1; float mult = 0; short usedLines = (maxLine - minLine); //exact delay l_i = line / outputL * inputL; for (short sample = 0; sample < outputS; ++sample) { s_i = sample / outputS * inputS / 2; part = part_multiplicator*s_i; if (part < 1) part = 1; maxLine = (short)std::min((l_i + part) + 1, inputL); minLine = (short)std::max((l_i - part), 0.0f); usedLines = (maxLine - minLine); apod_mult = apodArraySize / (maxLine - minLine); //calculate the AddSamples beforehand to save some time short* AddSample = new short[maxLine - minLine]; for (short l_s = 0; l_s < maxLine - minLine; ++l_s) { AddSample[l_s] = (short)sqrt( pow(s_i, 2) + pow((1 / (m_Conf.TimeSpacing*m_Conf.SpeedOfSound) * ((minLine + l_s - l_i)*m_Conf.Pitch*m_Conf.TransducerElements) / inputL), 2) ) + (1 - m_Conf.Photoacoustic)*s_i; } for (short l_s1 = minLine; l_s1 < maxLine - 1; ++l_s1) { if (AddSample[l_s1 - minLine] < inputS && AddSample[l_s1 - minLine] >= 0) { for (short l_s2 = l_s1 + 1; l_s2 < maxLine; ++l_s2) { if (AddSample[l_s2 - minLine] < inputS && AddSample[l_s2 - minLine] >= 0) { mult = input[l_s2 + AddSample[l_s2 - minLine] * (short)inputL] * apodisation[(int)((l_s2 - minLine)*apod_mult)] * input[l_s1 + AddSample[l_s1 - minLine] * (short)inputL] * apodisation[(int)((l_s1 - minLine)*apod_mult)]; output[sample*(short)outputL + line] += sqrt(abs(mult)) * ((mult > 0) - (mult < 0)); } } } else --usedLines; } output[sample*(short)outputL + line] = 10 * output[sample*(short)outputL + line] / (pow(usedLines, 2) - (usedLines - 1)); delete[] AddSample; } } diff --git a/Modules/PhotoacousticsAlgorithms/Algorithms/mitkPhotoacousticBeamformingFilter.h b/Modules/PhotoacousticsAlgorithms/Algorithms/mitkPhotoacousticBeamformingFilter.h index 1067aedd9b..dd05c7c1e9 100644 --- a/Modules/PhotoacousticsAlgorithms/Algorithms/mitkPhotoacousticBeamformingFilter.h +++ b/Modules/PhotoacousticsAlgorithms/Algorithms/mitkPhotoacousticBeamformingFilter.h @@ -1,108 +1,109 @@ /*=================================================================== The Medical Imaging Interaction Toolkit (MITK) Copyright (c) German Cancer Research Center, Division of Medical and Biological Informatics. All rights reserved. This software is distributed WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See LICENSE.txt or http://www.mitk.org for details. ===================================================================*/ #ifndef MITK_PHOTOACOUSTICS_BEAMFORMING_FILTER #define MITK_PHOTOACOUSTICS_BEAMFORMING_FILTER #include "mitkImageToImageFilter.h" #include namespace mitk { //##Documentation //## @brief //## @ingroup Process class BeamformingFilter : public ImageToImageFilter { public: mitkClassMacro(BeamformingFilter, ImageToImageFilter); itkFactorylessNewMacro(Self) itkCloneMacro(Self) struct beamformingSettings { float Pitch = 0.0003; // [m] float SpeedOfSound = 1540; // [m/s] unsigned int SamplesPerLine = 2048; unsigned int ReconstructionLines = 128; float RecordTime = 0.00006; // [s] float TimeSpacing = 0.0000000000001; // [s] - unsigned int TransducerElements = 128; + unsigned short TransducerElements = 128; bool partial = false; unsigned int CropBounds[2] = { 0,0 }; unsigned int Slices; + unsigned int* inputDim; bool UseGPU = true; enum DelayCalc {QuadApprox, Spherical}; DelayCalc DelayCalculationMethod = QuadApprox; enum Apodization {Hamm, Hann, Box}; Apodization Apod = Hann; enum BeamformingAlgorithm {DMAS, DAS}; BeamformingAlgorithm Algorithm = DAS; float Angle = 10; bool Photoacoustic = true; float BPHighPass = 50; float BPLowPass = 50; bool UseBP = false; }; void Configure(beamformingSettings settings); void SetProgressHandle(std::function progressHandle); protected: BeamformingFilter(); ~BeamformingFilter(); virtual void GenerateInputRequestedRegion() override; virtual void GenerateOutputInformation() override; virtual void GenerateData() override; //##Description //## @brief Time when Header was last initialized itk::TimeStamp m_TimeOfHeaderInitialization; std::function m_ProgressHandle; float* VonHannFunction(int samples); float* HammFunction(int samples); float* BoxFunction(int samples); void DASQuadraticLine(float* input, float* output, float inputDim[2], float outputDim[2], const short& line, float* apodisation, const short& apodArraySize); void DASSphericalLine(float* input, float* output, float inputDim[2], float outputDim[2], const short& line, float* apodisation, const short& apodArraySize); void DMASQuadraticLine(float* input, float* output, float inputDim[2], float outputDim[2], const short& line, float* apodisation, const short& apodArraySize); void DMASSphericalLine(float* input, float* output, float inputDim[2], float outputDim[2], const short& line, float* apodisation, const short& apodArraySize); float* m_OutputData; float* m_InputData; float* m_InputDataPuffer; beamformingSettings m_Conf; }; } // namespace mitk #endif //MITK_PHOTOACOUSTICS_BEAMFORMING_FILTER diff --git a/Modules/PhotoacousticsAlgorithms/Resources/UsedLinesCalculation.cl b/Modules/PhotoacousticsAlgorithms/Resources/UsedLinesCalculation.cl index 99d93c49df..3b7ea59743 100644 --- a/Modules/PhotoacousticsAlgorithms/Resources/UsedLinesCalculation.cl +++ b/Modules/PhotoacousticsAlgorithms/Resources/UsedLinesCalculation.cl @@ -1,47 +1,48 @@ /*=================================================================== 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 ckUsedLines( __global unsigned short* dDest, // output buffer float partMult, unsigned int inputL, - unsigned int inputS, - unsigned int Slices // parameters + unsigned int inputS ) { // get thread identifier unsigned int globalPosX = get_global_id(0); unsigned int globalPosY = get_global_id(1); - unsigned int globalPosZ = get_global_id(2); unsigned short outputS = get_global_size(1); unsigned short outputL = get_global_size(0); // terminate non-valid threads - if ( globalPosX < outputL && globalPosY < outputS && globalPosZ < Slices ) + if ( globalPosX < outputL && globalPosY < outputS) { float l_i = (float)globalPosX / outputL * inputL; float s_i = (float)globalPosY / outputS * inputS / 2; float part = partMult * s_i; if (part < 1) part = 1; - - dDest[globalPosZ * outputL*3 * outputS + globalPosY * outputL*3 + globalPosX] = max((l_i - part), 0.0f); //minLine - dDest[globalPosZ * outputL*3 * outputS + globalPosY * outputL*3 + globalPosX+1] = min((l_i + part) + 1, (float)inputL); //maxLine - dDest[globalPosZ * outputL*3 * outputS + globalPosY * outputL*3 + globalPosX+2] = (maxLine - minLine); //usedLines + + unsigned short maxLine = min((l_i + part) + 1, (float)inputL); + unsigned short minLine = max((l_i - part), 0.0f); + + dDest[globalPosY * outputL + globalPosX] = minLine; //minLine + dDest[globalPosY * outputL + globalPosX + 1 * outputL * outputS] = maxLine; //maxLine + dDest[globalPosY * outputL + globalPosX + 2 * outputL * outputS] = (maxLine - minLine); //usedLines } } \ No newline at end of file diff --git a/Modules/PhotoacousticsAlgorithms/files.cmake b/Modules/PhotoacousticsAlgorithms/files.cmake index ed425b70d4..f01c928c35 100644 --- a/Modules/PhotoacousticsAlgorithms/files.cmake +++ b/Modules/PhotoacousticsAlgorithms/files.cmake @@ -1,20 +1,21 @@ set(CPP_FILES mitkPhotoacousticImage.cpp Algorithms/mitkPhotoacousticBeamformingFilter.cpp Algorithms/OCL/mitkPhotoacousticOCLBeamformer.cpp Algorithms/OCL/mitkPhotoacousticBModeFilter.cpp Algorithms/OCL/mitkPhotoacousticOCLUsedLinesCalculation.cpp ) set(RESOURCE_FILES DASQuadratic.cl DMASQuadratic.cl DASSpherical.cl DMASSpherical.cl BModeAbs.cl BModeAbsLog.cl + UsedLinesCalculation.cl ) \ No newline at end of file diff --git a/Modules/PhotoacousticsAlgorithms/mitkPhotoacousticImage.cpp b/Modules/PhotoacousticsAlgorithms/mitkPhotoacousticImage.cpp index 89d9cd7e81..0138062f02 100644 --- a/Modules/PhotoacousticsAlgorithms/mitkPhotoacousticImage.cpp +++ b/Modules/PhotoacousticsAlgorithms/mitkPhotoacousticImage.cpp @@ -1,520 +1,520 @@ /*=================================================================== 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 #include "mitkPhotoacousticImage.h" #include "itkBModeImageFilter.h" #include "itkPhotoacousticBModeImageFilter.h" #include "mitkImageCast.h" #include "mitkITKImageImport.h" #include "mitkPhotoacousticBeamformingFilter.h" #include #include #include // itk dependencies #include "itkImage.h" #include "itkResampleImageFilter.h" #include "itkCastImageFilter.h" #include "itkCropImageFilter.h" #include "itkRescaleIntensityImageFilter.h" #include "itkIntensityWindowingImageFilter.h" #include #include "itkMultiplyImageFilter.h" #include "itkBSplineInterpolateImageFunction.h" #include // needed itk image filters #include "mitkITKImageImport.h" #include "itkFFTShiftImageFilter.h" #include "itkMultiplyImageFilter.h" #include "itkComplexToModulusImageFilter.h" #include #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, 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 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 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::ShapeDetection) { 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 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 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(inputSizeItk[0]) / static_cast(outputSizeItk[0])); outputSpacingItk[1] = itkImage->GetSpacing()[1] * (static_cast(inputSizeItk[1]) / static_cast(outputSizeItk[1])); outputSpacingItk[2] = itkImage->GetSpacing()[2]; typedef itk::IdentityTransform 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(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(), 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 progressHandle) { config.RecordTime = config.RecordTime - (cutoff) / 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, 0, 0, 0, config.CropBounds[0], config.CropBounds[1]); - config.Slices = processedImage->GetDimension(2); + config.inputDim = processedImage->GetDimensions(); // 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) { 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 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::Pointer toReal = itk::ComplexToModulusImageFilter::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::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::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; } \ No newline at end of file