diff --git a/Modules/PhotoacousticsAlgorithms/source/OpenCLFilter/mitkPhotoacousticOCLBeamformingFilter.cpp b/Modules/PhotoacousticsAlgorithms/source/OpenCLFilter/mitkPhotoacousticOCLBeamformingFilter.cpp index 02d3e06ae7..af9b7673e5 100644 --- a/Modules/PhotoacousticsAlgorithms/source/OpenCLFilter/mitkPhotoacousticOCLBeamformingFilter.cpp +++ b/Modules/PhotoacousticsAlgorithms/source/OpenCLFilter/mitkPhotoacousticOCLBeamformingFilter.cpp @@ -1,259 +1,259 @@ /*=================================================================== 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 #include "./OpenCLFilter/mitkPhotoacousticOCLBeamformingFilter.h" #include "usServiceReference.h" mitk::PhotoacousticOCLBeamformingFilter::PhotoacousticOCLBeamformingFilter() : m_PixelCalculation( NULL ), m_InputImage(mitk::Image::New()), m_ApodizationBuffer(nullptr), m_MemoryLocationsBuffer(nullptr), m_DelaysBuffer(nullptr), m_UsedLinesBuffer(nullptr) { this->AddSourceFile("DAS.cl"); this->AddSourceFile("DMAS.cl"); this->m_FilterID = "OpenCLBeamformingFilter"; this->Initialize(); 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); m_ChunkSize[0] = 128; m_ChunkSize[1] = 128; m_ChunkSize[2] = 8; m_UsedLinesCalculation = mitk::OCLUsedLinesCalculation::New(); m_DelayCalculation = mitk::OCLDelayCalculation::New(); } mitk::PhotoacousticOCLBeamformingFilter::~PhotoacousticOCLBeamformingFilter() { if ( this->m_PixelCalculation ) { clReleaseKernel( m_PixelCalculation ); } if (m_ApodizationBuffer) clReleaseMemObject(m_ApodizationBuffer); } 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::UpdateDataBuffers() { /*us::ServiceReference ref = GetModuleContext()->GetServiceReference(); OclResourceService* resources = GetModuleContext()->GetService(ref); cl_ulong globalMemSize = oclGetGlobalMemSize(resources->GetCurrentDevice());*/ //Initialize the Output try { MITK_DEBUG << "Updating Workgroup size for new dimensions"; size_t outputSize = (size_t)m_Conf.ReconstructionLines * (size_t)m_Conf.SamplesPerLine * (size_t)m_Conf.inputDim[2]; m_OutputDim[0] = m_Conf.ReconstructionLines; m_OutputDim[1] = m_Conf.SamplesPerLine; m_OutputDim[2] = m_Conf.inputDim[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 (BeamformingSettings::SettingsChangedOpenCL(m_Conf, m_ConfOld)) { cl_int clErr = 0; MITK_DEBUG << "Updating Buffers for new configuration"; // create the apodisation buffer 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(); if (m_ApodizationBuffer) clReleaseMemObject(m_ApodizationBuffer); this->m_ApodizationBuffer = clCreateBuffer(gpuContext, CL_MEM_READ_ONLY | CL_MEM_USE_HOST_PTR, sizeof(float) * m_ApodArraySize, m_Apodisation, &clErr); CHECK_OCL_ERR(clErr); // calculate used lines m_UsedLinesCalculation->SetConfig(m_Conf); m_UsedLinesCalculation->Update(); m_UsedLinesBuffer = m_UsedLinesCalculation->GetGPUOutput()->GetGPUBuffer(); // calculate the Delays m_DelayCalculation->SetConfig(m_Conf); m_DelayCalculation->SetInputs(m_UsedLinesBuffer); m_DelayCalculation->Update(); m_DelaysBuffer = m_DelayCalculation->GetGPUOutput()->GetGPUBuffer(); m_ConfOld = m_Conf; } } void mitk::PhotoacousticOCLBeamformingFilter::Execute() { cl_int clErr = 0; UpdateDataBuffers(); clErr = clSetKernelArg(this->m_PixelCalculation, 2, sizeof(cl_mem), &(this->m_UsedLinesBuffer)); clErr |= clSetKernelArg(this->m_PixelCalculation, 3, sizeof(cl_mem), &(this->m_DelaysBuffer)); clErr |= clSetKernelArg(this->m_PixelCalculation, 4, sizeof(cl_mem), &(this->m_ApodizationBuffer)); clErr |= clSetKernelArg(this->m_PixelCalculation, 5, sizeof(cl_ushort), &(this->m_ApodArraySize)); clErr |= clSetKernelArg(this->m_PixelCalculation, 6, sizeof(cl_uint), &(this->m_Conf.inputDim[0])); clErr |= clSetKernelArg(this->m_PixelCalculation, 7, sizeof(cl_uint), &(this->m_Conf.inputDim[1])); clErr |= clSetKernelArg(this->m_PixelCalculation, 8, sizeof(cl_uint), &(this->m_Conf.inputDim[2])); clErr |= clSetKernelArg(this->m_PixelCalculation, 9, sizeof(cl_uint), &(this->m_Conf.ReconstructionLines)); clErr |= clSetKernelArg(this->m_PixelCalculation, 10, sizeof(cl_uint), &(this->m_Conf.SamplesPerLine)); // execute the filter on a 3D NDRange if (m_OutputDim[2] == 1 || m_ChunkSize[2] == 1) { if(!this->ExecuteKernelChunks(m_PixelCalculation, 2, m_ChunkSize)) mitkThrow() << "openCL Error when executing Kernel"; } else { if(!this->ExecuteKernelChunks(m_PixelCalculation, 3, m_ChunkSize)) mitkThrow() << "openCL Error when executing Kernel"; } // 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_Conf.Algorithm) { case BeamformingSettings::BeamformingAlgorithm::DAS: { this->m_PixelCalculation = clCreateKernel(this->m_ClProgram, "ckDAS", &clErr); break; } case BeamformingSettings::BeamformingAlgorithm::DMAS: { this->m_PixelCalculation = clCreateKernel(this->m_ClProgram, "ckDMAS", &clErr); break; } default: { MITK_INFO << "No beamforming algorithm specified, setting to DAS"; this->m_PixelCalculation = clCreateKernel(this->m_ClProgram, "ckDAS", &clErr); break; } } buildErr |= CHECK_OCL_ERR( clErr ); } CHECK_OCL_ERR(clErr); return (OclFilter::IsInitialized() && buildErr ); } void mitk::PhotoacousticOCLBeamformingFilter::SetInput(mitk::Image::Pointer image) { OclDataSetToDataSetFilter::SetInput(image); m_InputImage = image; m_Conf.inputDim[0] = m_InputImage->GetDimension(0); m_Conf.inputDim[1] = m_InputImage->GetDimension(1); m_Conf.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_Conf.inputDim[0] = dimensions[0]; m_Conf.inputDim[1] = dimensions[1]; m_Conf.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->SetImportVolume(pData, 0, 0, mitk::Image::ReferenceMemory); + outputImage->SetImportVolume(pData, 0, 0, mitk::Image::ImportMemoryManagementType::ManageMemory); } MITK_DEBUG << "Image Initialized."; return outputImage; } void* mitk::PhotoacousticOCLBeamformingFilter::GetOutput() { return OclDataSetToDataSetFilter::GetOutput(); } #endif diff --git a/Modules/PhotoacousticsAlgorithms/source/mitkPhotoacousticBeamformingFilter.cpp b/Modules/PhotoacousticsAlgorithms/source/mitkPhotoacousticBeamformingFilter.cpp index 91910fa22e..9afdf460be 100644 --- a/Modules/PhotoacousticsAlgorithms/source/mitkPhotoacousticBeamformingFilter.cpp +++ b/Modules/PhotoacousticsAlgorithms/source/mitkPhotoacousticBeamformingFilter.cpp @@ -1,558 +1,557 @@ /*=================================================================== 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 "mitkProperties.h" #include "mitkImageReadAccessor.h" #include #include #include #include #include #include #include "mitkImageCast.h" #include "mitkPhotoacousticBeamformingFilter.h" mitk::BeamformingFilter::BeamformingFilter() : m_OutputData(nullptr), m_InputData(nullptr), m_Message("noMessage") { this->SetNumberOfIndexedInputs(1); this->SetNumberOfRequiredInputs(1); m_ProgressHandle = [](int, std::string) {}; m_BeamformingOclFilter = mitk::PhotoacousticOCLBeamformingFilter::New(); m_VonHannFunction = VonHannFunction(m_Conf.apodizationArraySize); m_HammFunction = HammFunction(m_Conf.apodizationArraySize); m_BoxFunction = BoxFunction(m_Conf.apodizationArraySize); } void mitk::BeamformingFilter::SetProgressHandle(std::function progressHandle) { m_ProgressHandle = progressHandle; } mitk::BeamformingFilter::~BeamformingFilter() { delete[] m_VonHannFunction; delete[] m_HammFunction; delete[] m_BoxFunction; } 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.TimeSpacing * m_Conf.inputDim[1]) / 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; float* ApodWindow; if (m_ConfOld.apodizationArraySize != m_Conf.apodizationArraySize) { delete[] m_VonHannFunction; delete[] m_HammFunction; delete[] m_BoxFunction; m_VonHannFunction = VonHannFunction(m_Conf.apodizationArraySize); m_HammFunction = HammFunction(m_Conf.apodizationArraySize); m_BoxFunction = BoxFunction(m_Conf.apodizationArraySize); m_ConfOld = m_Conf; } // set the appropiate apodization window switch (m_Conf.Apod) { case BeamformingSettings::Apodization::Hann: ApodWindow = m_VonHannFunction; break; case BeamformingSettings::Apodization::Hamm: ApodWindow = m_HammFunction; break; case BeamformingSettings::Apodization::Box: ApodWindow = m_BoxFunction; break; default: ApodWindow = m_BoxFunction; 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, m_Conf.apodizationArraySize); } } 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, m_Conf.apodizationArraySize); } } } 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, m_Conf.apodizationArraySize); } } 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, m_Conf.apodizationArraySize); } } } // 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; } } #if defined(PHOTOACOUSTICS_USE_GPU) || DOXYGEN 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"); m_BeamformingOclFilter->SetApodisation(ApodWindow, m_Conf.apodizationArraySize); m_BeamformingOclFilter->SetConfig(m_Conf); m_BeamformingOclFilter->SetInput(input); m_BeamformingOclFilter->Update(); void* out = m_BeamformingOclFilter->GetOutput(); - output->SetImportVolume(out, 0, 0, mitk::Image::ReferenceMemory); + output->SetImportVolume(out, 0, 0, mitk::Image::ImportMemoryManagementType::ManageMemory); } catch (mitk::Exception &e) { std::string errorMessage = "Caught unexpected exception "; errorMessage.append(e.what()); MITK_ERROR << errorMessage; float* dummyData = new float[m_Conf.ReconstructionLines * m_Conf.SamplesPerLine * m_Conf.inputDim[2]]; output->SetImportVolume(dummyData, 0, 0, mitk::Image::ImportMemoryManagementType::ManageMemory); m_Message = "An openCL error occurred; all GPU operations in this and the next session may be corrupted."; } } #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; } 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 = (float)apodArraySize / (float)usedLines; 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.isPhotoacousticImage)*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 = (float)apodArraySize / (float)usedLines; 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.isPhotoacousticImage)*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 = (float)apodArraySize / (float)usedLines; 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.isPhotoacousticImage)*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] = 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 = (float)apodArraySize / (float)usedLines; //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.isPhotoacousticImage)*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] = output[sample*(short)outputL + line] / (float)(pow(usedLines, 2) - (usedLines - 1)); delete[] AddSample; } } diff --git a/Plugins/org.mitk.gui.qt.photoacoustics.imageprocessing/src/internal/PAImageProcessing.cpp b/Plugins/org.mitk.gui.qt.photoacoustics.imageprocessing/src/internal/PAImageProcessing.cpp index 1315177ef6..846add84a5 100644 --- a/Plugins/org.mitk.gui.qt.photoacoustics.imageprocessing/src/internal/PAImageProcessing.cpp +++ b/Plugins/org.mitk.gui.qt.photoacoustics.imageprocessing/src/internal/PAImageProcessing.cpp @@ -1,1126 +1,1134 @@ /*=================================================================== 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. ===================================================================*/ // Blueberry #include #include // Qmitk #include "PAImageProcessing.h" // Qt #include #include #include #include //mitk image #include #include "mitkPhotoacousticImage.h" #include "mitkPhotoacousticBeamformingFilter.h" //other #include #include #include const std::string PAImageProcessing::VIEW_ID = "org.mitk.views.paimageprocessing"; PAImageProcessing::PAImageProcessing() : m_ResampleSpacing(0), m_UseLogfilter(false), m_FilterBank(mitk::PhotoacousticImage::New()) { qRegisterMetaType(); qRegisterMetaType(); } void PAImageProcessing::SetFocus() { m_Controls.buttonApplyBModeFilter->setFocus(); } void PAImageProcessing::CreateQtPartControl(QWidget *parent) { // create GUI widgets from the Qt Designer's .ui file m_Controls.setupUi(parent); connect(m_Controls.buttonApplyBModeFilter, SIGNAL(clicked()), this, SLOT(StartBmodeThread())); connect(m_Controls.DoResampling, SIGNAL(clicked()), this, SLOT(UseResampling())); connect(m_Controls.Logfilter, SIGNAL(clicked()), this, SLOT(UseLogfilter())); connect(m_Controls.ResamplingValue, SIGNAL(valueChanged(double)), this, SLOT(SetResampling())); connect(m_Controls.buttonApplyBeamforming, SIGNAL(clicked()), this, SLOT(StartBeamformingThread())); connect(m_Controls.buttonApplyCropFilter, SIGNAL(clicked()), this, SLOT(StartCropThread())); connect(m_Controls.buttonApplyBandpass, SIGNAL(clicked()), this, SLOT(StartBandpassThread())); connect(m_Controls.UseImageSpacing, SIGNAL(clicked()), this, SLOT(UseImageSpacing())); connect(m_Controls.ScanDepth, SIGNAL(valueChanged(double)), this, SLOT(UpdateImageInfo())); connect(m_Controls.SpeedOfSound, SIGNAL(valueChanged(double)), this, SLOT(UpdateImageInfo())); connect(m_Controls.SpeedOfSound, SIGNAL(valueChanged(double)), this, SLOT(ChangedSOSBeamforming())); connect(m_Controls.BPSpeedOfSound, SIGNAL(valueChanged(double)), this, SLOT(ChangedSOSBandpass())); connect(m_Controls.Samples, SIGNAL(valueChanged(int)), this, SLOT(UpdateImageInfo())); connect(m_Controls.UseImageSpacing, SIGNAL(clicked()), this, SLOT(UpdateImageInfo())); connect(m_Controls.boundLow, SIGNAL(valueChanged(int)), this, SLOT(LowerSliceBoundChanged())); connect(m_Controls.boundHigh, SIGNAL(valueChanged(int)), this, SLOT(UpperSliceBoundChanged())); connect(m_Controls.Partial, SIGNAL(clicked()), this, SLOT(SliceBoundsEnabled())); connect(m_Controls.BatchProcessing, SIGNAL(clicked()), this, SLOT(BatchProcessing())); connect(m_Controls.StepBeamforming, SIGNAL(clicked()), this, SLOT(UpdateSaveBoxes())); connect(m_Controls.StepCropping, SIGNAL(clicked()), this, SLOT(UpdateSaveBoxes())); connect(m_Controls.StepBandpass, SIGNAL(clicked()), this, SLOT(UpdateSaveBoxes())); connect(m_Controls.StepBMode, SIGNAL(clicked()), this, SLOT(UpdateSaveBoxes())); UpdateSaveBoxes(); m_Controls.DoResampling->setChecked(false); m_Controls.ResamplingValue->setEnabled(false); m_Controls.progressBar->setMinimum(0); m_Controls.progressBar->setMaximum(100); m_Controls.progressBar->setVisible(false); m_Controls.UseImageSpacing->setToolTip("Image spacing of y-Axis must be in us, x-Axis in mm."); m_Controls.UseImageSpacing->setToolTipDuration(5000); m_Controls.ProgressInfo->setVisible(false); m_Controls.UseBP->hide(); #ifndef PHOTOACOUSTICS_USE_GPU m_Controls.UseGPUBf->setEnabled(false); m_Controls.UseGPUBf->setChecked(false); m_Controls.UseGPUBmode->setEnabled(false); m_Controls.UseGPUBmode->setChecked(false); #endif UseImageSpacing(); } void PAImageProcessing::ChangedSOSBandpass() { m_Controls.SpeedOfSound->setValue(m_Controls.BPSpeedOfSound->value()); } void PAImageProcessing::ChangedSOSBeamforming() { m_Controls.BPSpeedOfSound->setValue(m_Controls.SpeedOfSound->value()); } std::vector splitpath( const std::string& str , const std::set delimiters) { std::vector result; char const* pch = str.c_str(); char const* start = pch; for (; *pch; ++pch) { if (delimiters.find(*pch) != delimiters.end()) { if (start != pch) { std::string str(start, pch); result.push_back(str); } else { result.push_back(""); } start = pch + 1; } } result.push_back(start); return result; } void PAImageProcessing::UpdateSaveBoxes() { if (m_Controls.StepBeamforming->isChecked()) m_Controls.SaveBeamforming->setEnabled(true); else m_Controls.SaveBeamforming->setEnabled(false); if (m_Controls.StepCropping->isChecked()) m_Controls.SaveCropping->setEnabled(true); else m_Controls.SaveCropping->setEnabled(false); if (m_Controls.StepBandpass->isChecked()) m_Controls.SaveBandpass->setEnabled(true); else m_Controls.SaveBandpass->setEnabled(false); if (m_Controls.StepBMode->isChecked()) m_Controls.SaveBMode->setEnabled(true); else m_Controls.SaveBMode->setEnabled(false); } void PAImageProcessing::BatchProcessing() { QFileDialog LoadDialog(nullptr, "Select Files to be processed"); LoadDialog.setFileMode(QFileDialog::FileMode::ExistingFiles); LoadDialog.setNameFilter(tr("Images (*.nrrd)")); LoadDialog.setViewMode(QFileDialog::Detail); QStringList fileNames; if (LoadDialog.exec()) fileNames = LoadDialog.selectedFiles(); QString saveDir = QFileDialog::getExistingDirectory(nullptr, tr("Select Directory To Save To"), "", QFileDialog::ShowDirsOnly | QFileDialog::DontResolveSymlinks); DisableControls(); std::set delims{'/'}; bool doSteps[] = { m_Controls.StepBeamforming->isChecked(), m_Controls.StepCropping->isChecked() , m_Controls.StepBandpass->isChecked(), m_Controls.StepBMode->isChecked() }; bool saveSteps[] = { m_Controls.SaveBeamforming->isChecked(), m_Controls.SaveCropping->isChecked() , m_Controls.SaveBandpass->isChecked(), m_Controls.SaveBMode->isChecked() }; for (int fileNumber = 0; fileNumber < fileNames.size(); ++fileNumber) { m_Controls.progressBar->setValue(0); m_Controls.progressBar->setVisible(true); m_Controls.ProgressInfo->setVisible(true); m_Controls.ProgressInfo->setText("loading file"); QString filename = fileNames.at(fileNumber); auto split = splitpath(filename.toStdString(), delims); std::string imageName = split.at(split.size()-1); // remove ".nrrd" imageName = imageName.substr(0, imageName.size()-5); mitk::Image::Pointer image = mitk::IOUtil::LoadImage(filename.toStdString().c_str()); UpdateBFSettings(image); // Beamforming if (doSteps[0]) { std::function progressHandle = [this](int progress, std::string progressInfo) { this->UpdateProgress(progress, progressInfo); }; m_Controls.progressBar->setValue(100); std::string errorMessage = ""; image = m_FilterBank->ApplyBeamforming(image, BFconfig, errorMessage, progressHandle); if (saveSteps[0]) { std::string saveFileName = saveDir.toStdString() + "/" + imageName + " beamformed" + ".nrrd"; mitk::IOUtil::Save(image, saveFileName); } } // Cropping if (doSteps[1]) { m_Controls.ProgressInfo->setText("cropping image"); image = m_FilterBank->ApplyCropping(image, m_Controls.CutoffAbove->value(), m_Controls.CutoffBelow->value(), 0, 0, 0, image->GetDimension(2) - 1); if (saveSteps[1]) { std::string saveFileName = saveDir.toStdString() + "/" + imageName + " cropped" + ".nrrd"; mitk::IOUtil::Save(image, saveFileName); } } // Bandpass if (doSteps[2]) { m_Controls.ProgressInfo->setText("applying bandpass"); float recordTime = image->GetDimension(1)*image->GetGeometry()->GetSpacing()[1] / 1000 / m_Controls.BPSpeedOfSound->value(); // add a safeguard so the program does not chrash when applying a Bandpass that reaches out of the bounds of the image float maxFrequency = 1 / (recordTime / image->GetDimension(1)) * image->GetDimension(1) / 2 / 2 / 1000; float BPHighPass = 1000000 * m_Controls.BPhigh->value(); // [Hz] float BPLowPass = maxFrequency - 1000000 * m_Controls.BPlow->value(); // [Hz] if (BPLowPass > maxFrequency && m_Controls.UseBP->isChecked()) { QMessageBox Msgbox; Msgbox.setText("LowPass too low, disabled it."); Msgbox.exec(); BPLowPass = 0; } if (BPLowPass < 0 && m_Controls.UseBP->isChecked()) { QMessageBox Msgbox; Msgbox.setText("LowPass too high, disabled it."); Msgbox.exec(); BPLowPass = 0; } if (BPHighPass > maxFrequency && m_Controls.UseBP->isChecked()) { QMessageBox Msgbox; Msgbox.setText("HighPass too high, disabled it."); Msgbox.exec(); BPHighPass = 0; } if (BPHighPass > maxFrequency - BFconfig.BPLowPass) { QMessageBox Msgbox; Msgbox.setText("HighPass higher than LowPass, disabled both."); Msgbox.exec(); BPHighPass = 0; BPLowPass = 0; } image = m_FilterBank->BandpassFilter(image, recordTime, BPHighPass, BPLowPass, m_Controls.BPFalloff->value()); if (saveSteps[2]) { std::string saveFileName = saveDir.toStdString() + "/" + imageName + " bandpassed" + ".nrrd"; mitk::IOUtil::Save(image, saveFileName); } } // Bmode if (doSteps[3]) { m_Controls.ProgressInfo->setText("applying bmode filter"); bool useGPU = m_Controls.UseGPUBmode->isChecked(); if (m_Controls.BModeMethod->currentText() == "Absolute Filter") image = m_FilterBank->ApplyBmodeFilter(image, mitk::PhotoacousticImage::BModeMethod::Abs, useGPU, m_UseLogfilter, m_ResampleSpacing); else if (m_Controls.BModeMethod->currentText() == "Envelope Detection") image = m_FilterBank->ApplyBmodeFilter(image, mitk::PhotoacousticImage::BModeMethod::EnvelopeDetection, useGPU, m_UseLogfilter, m_ResampleSpacing); if (saveSteps[3]) { std::string saveFileName = saveDir.toStdString() + "/" + imageName + " bmode" + ".nrrd"; mitk::IOUtil::Save(image, saveFileName); } } m_Controls.progressBar->setVisible(false); } EnableControls(); } void PAImageProcessing::StartBeamformingThread() { QList nodes = this->GetDataManagerSelection(); if (nodes.empty()) return; mitk::DataStorage::Pointer storage = this->GetDataStorage(); mitk::DataNode::Pointer node = nodes.front(); if (!node) { // Nothing selected. Inform the user and return QMessageBox::information(NULL, "Template", "Please load and select an image before starting image processing."); return; } mitk::BaseData* data = node->GetData(); if (data) { // test if this data item is an image or not (could also be a surface or something totally different) mitk::Image* image = dynamic_cast(data); if (image) { UpdateBFSettings(image); std::stringstream message; std::string name; message << "Performing beamforming for image "; if (node->GetName(name)) { // a property called "name" was found for this DataNode message << "'" << name << "'"; m_OldNodeName = name; } else m_OldNodeName = " "; message << "."; MITK_INFO << message.str(); m_Controls.progressBar->setValue(0); m_Controls.progressBar->setVisible(true); m_Controls.ProgressInfo->setVisible(true); m_Controls.ProgressInfo->setText("started"); m_Controls.buttonApplyBeamforming->setText("working..."); DisableControls(); BeamformingThread *thread = new BeamformingThread(); connect(thread, &BeamformingThread::result, this, &PAImageProcessing::HandleBeamformingResults); connect(thread, &BeamformingThread::updateProgress, this, &PAImageProcessing::UpdateProgress); connect(thread, &BeamformingThread::message, this, &PAImageProcessing::PAMessageBox); connect(thread, &BeamformingThread::finished, thread, &QObject::deleteLater); thread->setConfig(BFconfig); thread->setInputImage(image); thread->setFilterBank(m_FilterBank); MITK_INFO << "Started new thread for Beamforming"; thread->start(); } } } void PAImageProcessing::HandleBeamformingResults(mitk::Image::Pointer image) { auto newNode = mitk::DataNode::New(); newNode->SetData(image); // name the new Data node std::stringstream newNodeName; newNodeName << m_OldNodeName << " "; if (BFconfig.Algorithm == mitk::BeamformingSettings::BeamformingAlgorithm::DAS) newNodeName << "DAS bf, "; else if (BFconfig.Algorithm == mitk::BeamformingSettings::BeamformingAlgorithm::DMAS) newNodeName << "DMAS bf, "; if (BFconfig.DelayCalculationMethod == mitk::BeamformingSettings::DelayCalc::QuadApprox) newNodeName << "q. delay"; if (BFconfig.DelayCalculationMethod == mitk::BeamformingSettings::DelayCalc::Spherical) newNodeName << "s. delay"; newNode->SetName(newNodeName.str()); // update level window for the current dynamic range mitk::LevelWindow levelWindow; newNode->GetLevelWindow(levelWindow); - auto data = newNode->GetData(); - levelWindow.SetAuto(dynamic_cast(data), true, true); + levelWindow.SetAuto(image, true, true); newNode->SetLevelWindow(levelWindow); // add new node to data storage this->GetDataStorage()->Add(newNode); // disable progress bar m_Controls.progressBar->setVisible(false); m_Controls.ProgressInfo->setVisible(false); m_Controls.buttonApplyBeamforming->setText("Apply Beamforming"); EnableControls(); // update rendering - mitk::RenderingManager::GetInstance()->InitializeViews( - dynamic_cast(data)->GetGeometry(), mitk::RenderingManager::REQUEST_UPDATE_ALL, true); + mitk::RenderingManager::GetInstance()->InitializeViews(image->GetGeometry(), mitk::RenderingManager::REQUEST_UPDATE_ALL, true); mitk::RenderingManager::GetInstance()->RequestUpdateAll(); } void PAImageProcessing::StartBmodeThread() { QList nodes = this->GetDataManagerSelection(); if (nodes.empty()) return; mitk::DataStorage::Pointer storage = this->GetDataStorage(); mitk::DataNode::Pointer node = nodes.front(); if (!node) { // Nothing selected. Inform the user and return QMessageBox::information(NULL, "Template", "Please load and select an image before starting image processing."); return; } mitk::BaseData* data = node->GetData(); if (data) { // test if this data item is an image or not (could also be a surface or something totally different) mitk::Image* image = dynamic_cast(data); if (image) { UpdateBFSettings(image); std::stringstream message; std::string name; message << "Performing image processing for image "; if (node->GetName(name)) { // a property called "name" was found for this DataNode message << "'" << name << "'"; m_OldNodeName = name; } else m_OldNodeName = " "; message << "."; MITK_INFO << message.str(); m_Controls.buttonApplyBModeFilter->setText("working..."); DisableControls(); BmodeThread *thread = new BmodeThread(); connect(thread, &BmodeThread::result, this, &PAImageProcessing::HandleBmodeResults); connect(thread, &BmodeThread::finished, thread, &QObject::deleteLater); bool useGPU = m_Controls.UseGPUBmode->isChecked(); if(m_Controls.BModeMethod->currentText() == "Absolute Filter") thread->setConfig(m_UseLogfilter, m_ResampleSpacing, mitk::PhotoacousticImage::BModeMethod::Abs, useGPU); else if(m_Controls.BModeMethod->currentText() == "Envelope Detection") thread->setConfig(m_UseLogfilter, m_ResampleSpacing, mitk::PhotoacousticImage::BModeMethod::EnvelopeDetection, useGPU); thread->setInputImage(image); thread->setFilterBank(m_FilterBank); MITK_INFO << "Started new thread for Image Processing"; thread->start(); } } } void PAImageProcessing::HandleBmodeResults(mitk::Image::Pointer image) { auto newNode = mitk::DataNode::New(); newNode->SetData(image); // name the new Data node std::stringstream newNodeName; newNodeName << m_OldNodeName << " "; newNodeName << "B-Mode"; newNode->SetName(newNodeName.str()); // update level window for the current dynamic range mitk::LevelWindow levelWindow; newNode->GetLevelWindow(levelWindow); auto data = newNode->GetData(); levelWindow.SetAuto(dynamic_cast(data), true, true); newNode->SetLevelWindow(levelWindow); // add new node to data storage this->GetDataStorage()->Add(newNode); // disable progress bar m_Controls.progressBar->setVisible(false); m_Controls.buttonApplyBModeFilter->setText("Apply B-mode Filter"); EnableControls(); // update rendering mitk::RenderingManager::GetInstance()->InitializeViews( dynamic_cast(data)->GetGeometry(), mitk::RenderingManager::REQUEST_UPDATE_ALL, true); mitk::RenderingManager::GetInstance()->RequestUpdateAll(); } void PAImageProcessing::StartCropThread() { QList nodes = this->GetDataManagerSelection(); if (nodes.empty()) return; mitk::DataStorage::Pointer storage = this->GetDataStorage(); mitk::DataNode::Pointer node = nodes.front(); if (!node) { // Nothing selected. Inform the user and return QMessageBox::information(NULL, "Template", "Please load and select an image before starting image cropping."); return; } mitk::BaseData* data = node->GetData(); if (data) { // test if this data item is an image or not (could also be a surface or something totally different) mitk::Image* image = dynamic_cast(data); if (image) { UpdateBFSettings(image); std::stringstream message; std::string name; message << "Performing image cropping for image "; if (node->GetName(name)) { // a property called "name" was found for this DataNode message << "'" << name << "'"; m_OldNodeName = name; } else m_OldNodeName = " "; message << "."; MITK_INFO << message.str(); m_Controls.buttonApplyCropFilter->setText("working..."); DisableControls(); CropThread *thread = new CropThread(); connect(thread, &CropThread::result, this, &PAImageProcessing::HandleCropResults); connect(thread, &CropThread::finished, thread, &QObject::deleteLater); thread->setConfig(m_Controls.CutoffAbove->value(), m_Controls.CutoffBelow->value()); thread->setInputImage(image); thread->setFilterBank(m_FilterBank); MITK_INFO << "Started new thread for Image Cropping"; thread->start(); } } } void PAImageProcessing::HandleCropResults(mitk::Image::Pointer image) { auto newNode = mitk::DataNode::New(); newNode->SetData(image); // name the new Data node std::stringstream newNodeName; newNodeName << m_OldNodeName << " "; newNodeName << "Cropped"; newNode->SetName(newNodeName.str()); // update level window for the current dynamic range mitk::LevelWindow levelWindow; newNode->GetLevelWindow(levelWindow); auto data = newNode->GetData(); levelWindow.SetAuto(dynamic_cast(data), true, true); newNode->SetLevelWindow(levelWindow); // add new node to data storage this->GetDataStorage()->Add(newNode); m_Controls.buttonApplyCropFilter->setText("Apply Crop Filter"); EnableControls(); // update rendering mitk::RenderingManager::GetInstance()->InitializeViews( dynamic_cast(data)->GetGeometry(), mitk::RenderingManager::REQUEST_UPDATE_ALL, true); mitk::RenderingManager::GetInstance()->RequestUpdateAll(); } void PAImageProcessing::StartBandpassThread() { QList nodes = this->GetDataManagerSelection(); if (nodes.empty()) return; mitk::DataStorage::Pointer storage = this->GetDataStorage(); mitk::DataNode::Pointer node = nodes.front(); if (!node) { // Nothing selected. Inform the user and return QMessageBox::information(NULL, "Template", "Please load and select an image before starting image cropping."); return; } mitk::BaseData* data = node->GetData(); if (data) { // test if this data item is an image or not (could also be a surface or something totally different) mitk::Image* image = dynamic_cast(data); if (image) { UpdateBFSettings(image); std::stringstream message; std::string name; message << "Performing Bandpass filter on image "; if (node->GetName(name)) { // a property called "name" was found for this DataNode message << "'" << name << "'"; m_OldNodeName = name; } else m_OldNodeName = " "; message << "."; MITK_INFO << message.str(); m_Controls.buttonApplyBandpass->setText("working..."); DisableControls(); BandpassThread *thread = new BandpassThread(); connect(thread, &BandpassThread::result, this, &PAImageProcessing::HandleBandpassResults); connect(thread, &BandpassThread::finished, thread, &QObject::deleteLater); float recordTime = image->GetDimension(1)*image->GetGeometry()->GetSpacing()[1] / 1000 / m_Controls.BPSpeedOfSound->value(); // add a safeguard so the program does not chrash when applying a Bandpass that reaches out of the bounds of the image float maxFrequency = 1 / (recordTime / image->GetDimension(1)) * image->GetDimension(1) / 2 / 2 / 1000; float BPHighPass = 1000000 * m_Controls.BPhigh->value(); // [Hz] float BPLowPass = maxFrequency - 1000000 * m_Controls.BPlow->value(); // [Hz] if (BPLowPass > maxFrequency && m_Controls.UseBP->isChecked()) { QMessageBox Msgbox; Msgbox.setText("LowPass too low, disabled it."); Msgbox.exec(); BPLowPass = 0; } if (BPLowPass < 0 && m_Controls.UseBP->isChecked()) { QMessageBox Msgbox; Msgbox.setText("LowPass too high, disabled it."); Msgbox.exec(); BPLowPass = 0; } if (BPHighPass > maxFrequency && m_Controls.UseBP->isChecked()) { QMessageBox Msgbox; Msgbox.setText("HighPass too high, disabled it."); Msgbox.exec(); BPHighPass = 0; } if (BPHighPass > maxFrequency - BFconfig.BPLowPass) { QMessageBox Msgbox; Msgbox.setText("HighPass higher than LowPass, disabled both."); Msgbox.exec(); BPHighPass = 0; BPLowPass = 0; } thread->setConfig(BPHighPass, BPLowPass, m_Controls.BPFalloff->value(), recordTime); thread->setInputImage(image); thread->setFilterBank(m_FilterBank); MITK_INFO << "Started new thread for Bandpass filter"; thread->start(); } } } void PAImageProcessing::HandleBandpassResults(mitk::Image::Pointer image) { auto newNode = mitk::DataNode::New(); newNode->SetData(image); // name the new Data node std::stringstream newNodeName; newNodeName << m_OldNodeName << " "; newNodeName << "Bandpassed"; newNode->SetName(newNodeName.str()); // update level window for the current dynamic range mitk::LevelWindow levelWindow; newNode->GetLevelWindow(levelWindow); auto data = newNode->GetData(); levelWindow.SetAuto(dynamic_cast(data), true, true); newNode->SetLevelWindow(levelWindow); // add new node to data storage this->GetDataStorage()->Add(newNode); m_Controls.buttonApplyBandpass->setText("Apply Bandpass"); EnableControls(); // update rendering mitk::RenderingManager::GetInstance()->InitializeViews( dynamic_cast(data)->GetGeometry(), mitk::RenderingManager::REQUEST_UPDATE_ALL, true); mitk::RenderingManager::GetInstance()->RequestUpdateAll(); } void PAImageProcessing::SliceBoundsEnabled() { if (!m_Controls.Partial->isChecked()) { m_Controls.boundLow->setEnabled(false); m_Controls.boundHigh->setEnabled(false); return; } else { m_Controls.boundLow->setEnabled(true); m_Controls.boundHigh->setEnabled(true); } } void PAImageProcessing::UpperSliceBoundChanged() { if(m_Controls.boundLow->value() > m_Controls.boundHigh->value()) { m_Controls.boundLow->setValue(m_Controls.boundHigh->value()); } } void PAImageProcessing::LowerSliceBoundChanged() { if (m_Controls.boundLow->value() > m_Controls.boundHigh->value()) { m_Controls.boundHigh->setValue(m_Controls.boundLow->value()); } } void PAImageProcessing::UpdateProgress(int progress, std::string progressInfo) { if (progress < 100) m_Controls.progressBar->setValue(progress); else m_Controls.progressBar->setValue(100); m_Controls.ProgressInfo->setText(progressInfo.c_str()); qApp->processEvents(); } void PAImageProcessing::PAMessageBox(std::string message) { if (0 != message.compare("noMessage")) { QMessageBox msgBox; msgBox.setText(message.c_str()); msgBox.exec(); } } void PAImageProcessing::UpdateImageInfo() { QList nodes = this->GetDataManagerSelection(); if (nodes.empty()) return; mitk::DataNode::Pointer node = nodes.front(); if (!node) { // Nothing selected return; } mitk::BaseData* data = node->GetData(); if (data) { // test if this data item is an image or not (could also be a surface or something totally different) mitk::Image* image = dynamic_cast(data); if (image) { // beamforming configs if (m_Controls.UseImageSpacing->isChecked()) { m_Controls.ElementCount->setValue(image->GetDimension(0)); m_Controls.Pitch->setValue(image->GetGeometry()->GetSpacing()[0]); m_Controls.boundLow->setMaximum(image->GetDimension(2) - 1); m_Controls.boundHigh->setMaximum(image->GetDimension(2) - 1); } UpdateBFSettings(image); + m_Controls.CutoffBeforeBF->setValue(0.000001 / BFconfig.TimeSpacing); // 1us standard offset for our transducer + std::stringstream frequency; float maxFrequency = (1 / BFconfig.TimeSpacing) * image->GetDimension(1) / 2 / 2 / 1000; frequency << maxFrequency / 1000000; //[MHz] frequency << "MHz"; m_Controls.BPhigh->setMaximum(maxFrequency / 1000000); m_Controls.BPlow->setMaximum(maxFrequency / 1000000); frequency << " is the maximal allowed frequency for the selected image."; m_Controls.BPhigh->setToolTip(frequency.str().c_str()); m_Controls.BPlow->setToolTip(frequency.str().c_str()); m_Controls.BPhigh->setToolTipDuration(5000); m_Controls.BPlow->setToolTipDuration(5000); } } } void PAImageProcessing::OnSelectionChanged( berry::IWorkbenchPart::Pointer /*source*/, const QList& nodes ) { // iterate all selected objects, adjust warning visibility foreach( mitk::DataNode::Pointer node, nodes ) { if( node.IsNotNull() && dynamic_cast(node->GetData()) ) { m_Controls.labelWarning->setVisible( false ); m_Controls.buttonApplyBModeFilter->setEnabled( true ); m_Controls.labelWarning2->setVisible(false); m_Controls.buttonApplyCropFilter->setEnabled(true); m_Controls.labelWarning3->setVisible(false); m_Controls.buttonApplyBandpass->setEnabled(true); m_Controls.labelWarning4->setVisible(false); m_Controls.buttonApplyBeamforming->setEnabled(true); UpdateImageInfo(); return; } } m_Controls.labelWarning->setVisible( true ); m_Controls.buttonApplyBModeFilter->setEnabled( false ); m_Controls.labelWarning2->setVisible(true); m_Controls.buttonApplyCropFilter->setEnabled(false); m_Controls.labelWarning3->setVisible(true); m_Controls.buttonApplyBandpass->setEnabled(false); m_Controls.labelWarning4->setVisible(true); m_Controls.buttonApplyBeamforming->setEnabled(false); } void PAImageProcessing::UseResampling() { if (m_Controls.DoResampling->isChecked()) { m_Controls.ResamplingValue->setEnabled(true); m_ResampleSpacing = m_Controls.ResamplingValue->value(); } else { m_Controls.ResamplingValue->setEnabled(false); m_ResampleSpacing = 0; } } void PAImageProcessing::UseLogfilter() { m_UseLogfilter = m_Controls.Logfilter->isChecked(); } void PAImageProcessing::SetResampling() { m_ResampleSpacing = m_Controls.ResamplingValue->value(); } void PAImageProcessing::UpdateBFSettings(mitk::Image::Pointer image) { if ("DAS" == m_Controls.BFAlgorithm->currentText()) BFconfig.Algorithm = mitk::BeamformingSettings::BeamformingAlgorithm::DAS; else if ("DMAS" == m_Controls.BFAlgorithm->currentText()) BFconfig.Algorithm = mitk::BeamformingSettings::BeamformingAlgorithm::DMAS; if ("Quad. Approx." == m_Controls.DelayCalculation->currentText()) { BFconfig.DelayCalculationMethod = mitk::BeamformingSettings::DelayCalc::QuadApprox; } else if ("Spherical Wave" == m_Controls.DelayCalculation->currentText()) { BFconfig.DelayCalculationMethod = mitk::BeamformingSettings::DelayCalc::Spherical; } if ("Von Hann" == m_Controls.Apodization->currentText()) { BFconfig.Apod = mitk::BeamformingSettings::Apodization::Hann; } else if ("Hamming" == m_Controls.Apodization->currentText()) { BFconfig.Apod = mitk::BeamformingSettings::Apodization::Hamm; } else if ("Box" == m_Controls.Apodization->currentText()) { BFconfig.Apod = mitk::BeamformingSettings::Apodization::Box; } BFconfig.Pitch = m_Controls.Pitch->value() / 1000; // [m] BFconfig.SpeedOfSound = m_Controls.SpeedOfSound->value(); // [m/s] BFconfig.SamplesPerLine = m_Controls.Samples->value(); BFconfig.ReconstructionLines = m_Controls.Lines->value(); BFconfig.TransducerElements = m_Controls.ElementCount->value(); BFconfig.apodizationArraySize = m_Controls.ElementCount->value(); BFconfig.Angle = m_Controls.Angle->value(); // [deg] BFconfig.UseBP = m_Controls.UseBP->isChecked(); BFconfig.UseGPU = m_Controls.UseGPUBf->isChecked(); - BFconfig.upperCutoff = m_Controls.Cutoff->value(); + BFconfig.upperCutoff = m_Controls.CutoffBeforeBF->value(); if (m_Controls.UseImageSpacing->isChecked()) { BFconfig.RecordTime = image->GetDimension(1)*image->GetGeometry()->GetSpacing()[1] / 1000000; // [s] BFconfig.TimeSpacing = image->GetGeometry()->GetSpacing()[1] / 1000000; MITK_INFO << "Calculated Scan Depth of " << BFconfig.RecordTime * BFconfig.SpeedOfSound * 100 / 2 << "cm"; } else { BFconfig.RecordTime = 2 * m_Controls.ScanDepth->value() / 1000 / BFconfig.SpeedOfSound; // [s] BFconfig.TimeSpacing = BFconfig.RecordTime / image->GetDimension(1); } if ("US Image" == m_Controls.ImageType->currentText()) { BFconfig.isPhotoacousticImage = false; } else if ("PA Image" == m_Controls.ImageType->currentText()) { BFconfig.isPhotoacousticImage = true; } BFconfig.partial = m_Controls.Partial->isChecked(); BFconfig.CropBounds[0] = m_Controls.boundLow->value(); BFconfig.CropBounds[1] = m_Controls.boundHigh->value(); } void PAImageProcessing::EnableControls() { m_Controls.DoResampling->setEnabled(true); UseResampling(); m_Controls.Logfilter->setEnabled(true); m_Controls.buttonApplyBModeFilter->setEnabled(true); m_Controls.CutoffAbove->setEnabled(true); m_Controls.CutoffBelow->setEnabled(true); - m_Controls.Cutoff->setEnabled(true); + m_Controls.CutoffBeforeBF->setEnabled(true); m_Controls.buttonApplyCropFilter->setEnabled(true); m_Controls.buttonApplyBandpass->setEnabled(true); m_Controls.Partial->setEnabled(true); m_Controls.boundHigh->setEnabled(true); m_Controls.boundLow->setEnabled(true); m_Controls.BFAlgorithm->setEnabled(true); m_Controls.DelayCalculation->setEnabled(true); m_Controls.ImageType->setEnabled(true); m_Controls.Apodization->setEnabled(true); m_Controls.UseBP->setEnabled(true); #ifdef PHOTOACOUSTICS_USE_GPU m_Controls.UseGPUBf->setEnabled(true); m_Controls.UseGPUBmode->setEnabled(true); #endif m_Controls.BPhigh->setEnabled(true); m_Controls.BPlow->setEnabled(true); m_Controls.BPFalloff->setEnabled(true); m_Controls.UseImageSpacing->setEnabled(true); UseImageSpacing(); m_Controls.Pitch->setEnabled(true); m_Controls.ElementCount->setEnabled(true); m_Controls.SpeedOfSound->setEnabled(true); m_Controls.Samples->setEnabled(true); m_Controls.Lines->setEnabled(true); m_Controls.Angle->setEnabled(true); m_Controls.buttonApplyBeamforming->setEnabled(true); } void PAImageProcessing::DisableControls() { m_Controls.DoResampling->setEnabled(false); m_Controls.ResamplingValue->setEnabled(false); m_Controls.Logfilter->setEnabled(false); m_Controls.buttonApplyBModeFilter->setEnabled(false); m_Controls.CutoffAbove->setEnabled(false); m_Controls.CutoffBelow->setEnabled(false); - m_Controls.Cutoff->setEnabled(false); + m_Controls.CutoffBeforeBF->setEnabled(false); m_Controls.buttonApplyCropFilter->setEnabled(false); m_Controls.buttonApplyBandpass->setEnabled(false); m_Controls.Partial->setEnabled(false); m_Controls.boundHigh->setEnabled(false); m_Controls.boundLow->setEnabled(false); m_Controls.BFAlgorithm->setEnabled(false); m_Controls.DelayCalculation->setEnabled(false); m_Controls.ImageType->setEnabled(false); m_Controls.Apodization->setEnabled(false); m_Controls.UseBP->setEnabled(false); #ifdef PHOTOACOUSTICS_USE_GPU m_Controls.UseGPUBf->setEnabled(false); m_Controls.UseGPUBmode->setEnabled(false); #endif m_Controls.BPhigh->setEnabled(false); m_Controls.BPlow->setEnabled(false); m_Controls.BPFalloff->setEnabled(false); m_Controls.UseImageSpacing->setEnabled(false); m_Controls.ScanDepth->setEnabled(false); m_Controls.Pitch->setEnabled(false); m_Controls.ElementCount->setEnabled(false); m_Controls.SpeedOfSound->setEnabled(false); m_Controls.Samples->setEnabled(false); m_Controls.Lines->setEnabled(false); m_Controls.Angle->setEnabled(false); m_Controls.buttonApplyBeamforming->setEnabled(false); } void PAImageProcessing::UseImageSpacing() { if (m_Controls.UseImageSpacing->isChecked()) { m_Controls.ScanDepth->setDisabled(true); } else { m_Controls.ScanDepth->setEnabled(true); } } +#include + void BeamformingThread::run() { - mitk::Image::Pointer resultImage; + mitk::Image::Pointer resultImage = mitk::Image::New(); + mitk::Image::Pointer resultImageBuffer; std::string errorMessage = ""; std::function progressHandle = [this](int progress, std::string progressInfo) { emit updateProgress(progress, progressInfo); }; - resultImage = m_FilterBank->ApplyBeamforming(m_InputImage, m_BFconfig, errorMessage, progressHandle); + resultImageBuffer = m_FilterBank->ApplyBeamforming(m_InputImage, m_BFconfig, errorMessage, progressHandle); + mitk::ImageReadAccessor copy(resultImageBuffer); + + resultImage->Initialize(resultImageBuffer); + resultImage->SetSpacing(resultImageBuffer->GetGeometry()->GetSpacing()); + resultImage->SetImportVolume(const_cast(copy.GetData()), 0, 0, mitk::Image::ImportMemoryManagementType::RtlCopyMemory); emit result(resultImage); emit message(errorMessage); } void BeamformingThread::setConfig(mitk::BeamformingSettings BFconfig) { m_BFconfig = BFconfig; } void BeamformingThread::setInputImage(mitk::Image::Pointer image) { m_InputImage = image; } void BmodeThread::run() { mitk::Image::Pointer resultImage; resultImage = m_FilterBank->ApplyBmodeFilter(m_InputImage, m_Method, m_UseGPU, m_UseLogfilter, m_ResampleSpacing); emit result(resultImage); } void BmodeThread::setConfig(bool useLogfilter, double resampleSpacing, mitk::PhotoacousticImage::BModeMethod method, bool useGPU) { m_UseLogfilter = useLogfilter; m_ResampleSpacing = resampleSpacing; m_Method = method; m_UseGPU = useGPU; } void BmodeThread::setInputImage(mitk::Image::Pointer image) { m_InputImage = image; } void CropThread::run() { mitk::Image::Pointer resultImage; resultImage = m_FilterBank->ApplyCropping(m_InputImage, m_CutAbove, m_CutBelow, 0, 0, 0, m_InputImage->GetDimension(2) - 1); emit result(resultImage); } void CropThread::setConfig(unsigned int CutAbove, unsigned int CutBelow) { m_CutAbove = CutAbove; m_CutBelow = CutBelow; } void CropThread::setInputImage(mitk::Image::Pointer image) { m_InputImage = image; } void BandpassThread::run() { mitk::Image::Pointer resultImage; resultImage = m_FilterBank->BandpassFilter(m_InputImage, m_RecordTime, m_BPHighPass, m_BPLowPass, m_TukeyAlpha); emit result(resultImage); } void BandpassThread::setConfig(float BPHighPass, float BPLowPass, float TukeyAlpha, float recordTime) { m_BPHighPass = BPHighPass; m_BPLowPass = BPLowPass; m_TukeyAlpha = TukeyAlpha; m_RecordTime = recordTime; } void BandpassThread::setInputImage(mitk::Image::Pointer image) { m_InputImage = image; } diff --git a/Plugins/org.mitk.gui.qt.photoacoustics.imageprocessing/src/internal/PAImageProcessingControls.ui b/Plugins/org.mitk.gui.qt.photoacoustics.imageprocessing/src/internal/PAImageProcessingControls.ui index dfd5d7636c..d6f15a59f3 100644 --- a/Plugins/org.mitk.gui.qt.photoacoustics.imageprocessing/src/internal/PAImageProcessingControls.ui +++ b/Plugins/org.mitk.gui.qt.photoacoustics.imageprocessing/src/internal/PAImageProcessingControls.ui @@ -1,987 +1,987 @@ PAImageProcessingControls 0 0 382 1217 0 0 QmitkTemplate <html><head/><body><p><span style=" font-weight:600;">Batch Processing</span></p></body></html> Start Batch Processing Bandpass true Crop true Save true Save true Save Beamform true BMode true Save true <html><head/><body><p><span style=" font-weight:600;">B-mode Filter Settings</span></p></body></html> Do Resampling Absolute Filter Envelope Detection 0 0 13 0 11 0.010000000000000 1.000000000000000 0.010000000000000 0.100000000000000 [mm] Depth Spacing Add Logfilter Use GPU QLabel { color: rgb(255, 0, 0) } <html><head/><body><p align="center"><span style=" font-size:10pt; font-weight:600;">Please select an image!</span></p></body></html> 0 0 Do image processing Apply B-mode Filter Qt::Horizontal <html><head/><body><p><span style=" font-weight:600;">Bandpass Filter Settings</span></p></body></html> QLayout::SetDefaultConstraint 0 0 0 3 0.010000000000000 200.000000000000000 15.000000000000000 [MHz] f High Pass [MHz] f Low Pass 0 0 3 200.000000000000000 Thukey window alpha 1 200.000000000000000 3000.000000000000000 5.000000000000000 1480.000000000000000 [m/s] Speed of Sound 2 1.000000000000000 0.100000000000000 0.500000000000000 <html><head/><body><p align="center"><span style=" font-size:10pt; font-weight:600; color:#ff0000;">Please select an image!</span></p></body></html> Apply Bandpass Qt::Horizontal <html><head/><body><p><span style=" font-weight:600;">Crop Filter Settings</span></p></body></html> 99999 5 165 Cut Top 99999 10 Cut Bottom <html><head/><body><p align="center"><span style=" font-size:10pt; font-weight:600; color:#ff0000;">Please select an image!</span></p></body></html> Apply Crop Filer Qt::Horizontal <html><head/><body><p><span style=" font-weight:600;">Beamforming Filter Settings</span></p></body></html> 5 2 Delay Calculation Auto Get Depth true Apply Beamforming Beamforming Method [mm] Scan Depth 0 0 3 0.010000000000000 9.000000000000000 0.050000000000000 0.300000000000000 Transducer Elements 0 0 4 300.000000000000000 0.100000000000000 50.000000000000000 [mm] Transducer Pitch 0 0 64 1024 128 128 0 0 256 16384 256 2048 0 0 64 2048 128 256 Samples Reconstruction Lines true 0 0 100 0 - + 0 0 900 10 0 0 0 DAS DMAS 0 0 Quad. Approx. Spherical Wave 0 0 PA Image US Image Image Type 0 0 Von Hann Hamming Box Apodization 0 0 1 200.000000000000000 3000.000000000000000 5.000000000000000 1480.000000000000000 [m/s] Speed of Sound false 99999 minimal beamformed slice min false 99999 10 Maximal beamformed slice max select slices Compute On GPU true true Auto Use Bandpass 0 0 1 1.000000000000000 180.000000000000000 27.000000000000000 [°] Element Angle Cutoff Upper Voxels <html><head/><body><p align="center"><span style=" font-size:10pt; font-weight:600; color:#ff0000;">Please select an image!</span></p></body></html> Qt::Vertical 20 40