diff --git a/Modules/PhotoacousticsAlgorithms/include/mitkBandpassFilter.h b/Modules/PhotoacousticsAlgorithms/include/mitkBandpassFilter.h index 375e34ce34..79cba49d0b 100644 --- a/Modules/PhotoacousticsAlgorithms/include/mitkBandpassFilter.h +++ b/Modules/PhotoacousticsAlgorithms/include/mitkBandpassFilter.h @@ -1,59 +1,65 @@ /*=================================================================== 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_BANDPASS_FILTER #define MITK_BANDPASS_FILTER #include "mitkImageToImageFilter.h" #include "MitkPhotoacousticsAlgorithmsExports.h" #include "mitkPhotoacousticFilterService.h" namespace mitk { /*! * \brief Class implementing an mitk::ImageToImageFilter for casting any mitk image to a float image */ class MITKPHOTOACOUSTICSALGORITHMS_EXPORT BandpassFilter : public ImageToImageFilter { public: mitkClassMacro(BandpassFilter, ImageToImageFilter); itkFactorylessNewMacro(Self); itkCloneMacro(Self); itkSetMacro(HighPass, float); itkSetMacro(LowPass, float); itkSetMacro(HighPassAlpha, float); itkSetMacro(LowPassAlpha, float); + itkSetMacro(SpeedOfSound, float); + itkSetMacro(TimeSpacing, float); + itkSetMacro(IsBFImage, bool); protected: BandpassFilter(); ~BandpassFilter() override; void SanityCheckPreconditions(); + float m_SpeedOfSound; + float m_TimeSpacing; + bool m_IsBFImage; float m_HighPass; float m_LowPass; float m_HighPassAlpha; float m_LowPassAlpha; mitk::PhotoacousticFilterService::Pointer m_FilterService; void GenerateData() override; }; } // namespace mitk #endif //MITK_CAST_TO_FLOAT_IMAGE_FILTER diff --git a/Modules/PhotoacousticsAlgorithms/include/mitkPhotoacousticFilterService.h b/Modules/PhotoacousticsAlgorithms/include/mitkPhotoacousticFilterService.h index cbe872a42d..b731e3b10e 100644 --- a/Modules/PhotoacousticsAlgorithms/include/mitkPhotoacousticFilterService.h +++ b/Modules/PhotoacousticsAlgorithms/include/mitkPhotoacousticFilterService.h @@ -1,125 +1,126 @@ /*=================================================================== 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 mitkPhotoacousticFilterService_H_HEADER_INCLUDED #define mitkPhotoacousticFilterService_H_HEADER_INCLUDED #include "itkObject.h" #include "mitkCommon.h" #include "mitkImage.h" #include #include "mitkBeamformingSettings.h" #include "mitkBeamformingFilter.h" #include "MitkPhotoacousticsAlgorithmsExports.h" namespace mitk { /*! * \brief Class holding methods to apply all Filters within the Photoacoustics Algorithms Module * * Implemented are: * - A B-Mode Filter * - A Resampling Filter * - Beamforming on GPU and CPU * - A Bandpass Filter */ class MITKPHOTOACOUSTICSALGORITHMS_EXPORT PhotoacousticFilterService : public itk::Object { public: mitkClassMacroItkParent(mitk::PhotoacousticFilterService, itk::Object); itkFactorylessNewMacro(Self); /** \brief Defines the methods for the B-Mode filter * Currently implemented are an Envelope Detection filter and a simple Absolute filter. */ enum BModeMethod { EnvelopeDetection, Abs }; /** \brief Applies a B-Mode Filter * * Applies a B-Mode filter using the given parameters. * @param inputImage The image to be processed. * @param method The kind of B-Mode Filter to be used. * @param UseLogFilter Setting this to true will apply a simple logarithm to the image after the B-Mode Filter has been applied. * @param resampleSpacing If this is set to 0, nothing will be done; otherwise, the image is resampled to a spacing of resampleSpacing mm per pixel. * @return The processed image is returned after the filter has finished. */ mitk::Image::Pointer ApplyBmodeFilter(mitk::Image::Pointer inputImage, BModeMethod method = BModeMethod::Abs, bool UseLogFilter = false); /** \brief Resamples the given image * * Resamples an image using the given parameters. * @param inputImage The image to be processed. * @param outputSize An array of dimensions the image should be resampled to. * @return The processed image is returned after the filter has finished. */ mitk::Image::Pointer ApplyResampling(mitk::Image::Pointer inputImage, double outputSpacing[2]); /** \brief Beamforms the given image * * Resamples an image using the given parameters. * @param inputImage The image to be processed. * @param config The configuration set to be used for beamforming. * @param progressHandle An std::function, through which progress of the currently updating filter is reported. * The integer argument is a number between 0 an 100 to indicate how far completion has been achieved, the std::string argument indicates what the filter is currently doing. * @return The processed image is returned after the filter has finished. */ mitk::Image::Pointer ApplyBeamforming(mitk::Image::Pointer inputImage, BeamformingSettings::Pointer config, std::function progressHandle = [](int, std::string) {}); /** \brief Crops the given image * * Crops an image in 3 dimension using the given parameters. * @param inputImage The image to be processed. * @param above How many voxels will be cut from the top of the image. * @param below How many voxels will be cut from the bottom of the image. * @param right How many voxels will be cut from the right side of the image. * @param left How many voxels will be cut from the left side of the image. * @param minSlice The first slice to be present in the resulting image. * @param maxSlice The last slice to be present in the resulting image. * @return The processed image is returned after the filter has finished. For the purposes of this module, the returned image is always of type float. */ mitk::Image::Pointer ApplyCropping(mitk::Image::Pointer inputImage, int above, int below, int right, int left, int minSlice, int maxSlice); /** \brief Applies a Bandpass filter to the given image * * Applies a bandpass filter to the given image using the given parameters. * @param data The image to be processed. * @param BPHighPass The position at which Lower frequencies are completely cut off in Hz. * @param BPLowPass The position at which Higher frequencies are completely cut off in Hz. * @param alphaHighPass The high pass tukey window parameter to control the shape of the bandpass filter: 0 will make it a Box function, 1 a Hann function. alpha can be set between those two bounds. * @param alphaLowPass The low passtukey window parameter to control the shape of the bandpass filter: 0 will make it a Box function, 1 a Hann function. alpha can be set between those two bounds. * @return The processed image is returned after the filter has finished. */ mitk::Image::Pointer ApplyBandpassFilter(mitk::Image::Pointer data, float BPHighPass, float BPLowPass, - float alphaHighPass, float alphaLowPass); + float alphaHighPass, float alphaLowPass, + float timeSpacing, float SpeedOfSound, bool IsBFImage); protected: PhotoacousticFilterService(); ~PhotoacousticFilterService() override; /** \brief For performance reasons, an instance of the Beamforming filter is initialized as soon as possible and kept for all further uses. */ mitk::BeamformingFilter::Pointer m_BeamformingFilter; mitk::Image::Pointer ConvertToFloat(mitk::Image::Pointer); }; } // namespace mitk #endif /* mitkPhotoacousticFilterService_H_HEADER_INCLUDED */ diff --git a/Modules/PhotoacousticsAlgorithms/source/filters/mitkBandpassFilter.cpp b/Modules/PhotoacousticsAlgorithms/source/filters/mitkBandpassFilter.cpp index 1e36f07613..f142d14928 100644 --- a/Modules/PhotoacousticsAlgorithms/source/filters/mitkBandpassFilter.cpp +++ b/Modules/PhotoacousticsAlgorithms/source/filters/mitkBandpassFilter.cpp @@ -1,266 +1,269 @@ /*=================================================================== mitkCastToFloatImageFilter 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 "mitkBandpassFilter.h" #include "../ITKFilter/ITKUltrasound/itkFFT1DComplexConjugateToRealImageFilter.h" #include "../ITKFilter/ITKUltrasound/itkFFT1DRealToComplexConjugateImageFilter.h" #include "itkComplexToModulusImageFilter.h" #include "itkMultiplyImageFilter.h" #include "mitkIOUtil.h" #include "mitkITKImageImport.h" #include "mitkImageCast.h" mitk::BandpassFilter::BandpassFilter() : m_HighPass(0), m_LowPass(50), m_HighPassAlpha(1), m_LowPassAlpha(1), m_FilterService(mitk::PhotoacousticFilterService::New()) { MITK_INFO << "Instantiating BandpassFilter..."; SetNumberOfIndexedInputs(1); SetNumberOfIndexedOutputs(1); MITK_INFO << "Instantiating BandpassFilter...[Done]"; } mitk::BandpassFilter::~BandpassFilter() { MITK_INFO << "Destructed BandpassFilter."; } void mitk::BandpassFilter::SanityCheckPreconditions() { auto input = GetInput(); std::string type = input->GetPixelType().GetTypeAsString(); if (!(type == "scalar (float)" || type == " (float)")) { MITK_ERROR << "This filter can currently only handle float type images."; mitkThrow() << "This filter can currently only handle float type images."; } if (m_HighPass > m_LowPass) { MITK_ERROR << "High Pass is higher than Low Pass; aborting."; mitkThrow() << "High Pass is higher than Low Pass; aborting."; } } itk::Image::Pointer BPFunction(mitk::Image::Pointer reference, float cutoffFrequencyPixelHighPass, float cutoffFrequencyPixelLowPass, float alphaHighPass, float alphaLowPass) { float *imageData = new float[reference->GetDimension(0) * reference->GetDimension(1)]; float width = cutoffFrequencyPixelLowPass - cutoffFrequencyPixelHighPass; float center = cutoffFrequencyPixelHighPass + width / 2.f; for (unsigned int n = 0; n < reference->GetDimension(1); ++n) { imageData[reference->GetDimension(0) * n] = 0; } for (int n = 0; n < width; ++n) { imageData[reference->GetDimension(0) * (int)(n + center - (width / 2.f))] = 1; if (n <= (alphaHighPass * (width - 1)) / 2.f) { if (alphaHighPass > 0.00001f) { imageData[reference->GetDimension(0) * (int)(n + center - (width / 2.f))] = (1 + cos(itk::Math::pi * (2 * n / (alphaHighPass * (width - 1)) - 1))) / 2; } else { imageData[reference->GetDimension(0) * (int)(n + center - (width / 2.f))] = 1; } } else if (n >= (width - 1) * (1 - alphaLowPass / 2.f)) { if (alphaLowPass > 0.00001f) { imageData[reference->GetDimension(0) * (int)(n + center - (width / 2.f))] = (1 + cos(itk::Math::pi * (2 * n / (alphaLowPass * (width - 1)) + 1 - 2 / alphaLowPass))) / 2; } else { imageData[reference->GetDimension(0) * (int)(n + center - (width / 2.f))] = 1; } } } 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)]; } 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 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 (unsigned int slice = 0; slice < reference->GetDimension(2); ++slice) { for (unsigned int line = 0; line < reference->GetDimension(0); ++line) { for (unsigned int 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; } void mitk::BandpassFilter::GenerateData() { SanityCheckPreconditions(); auto input = GetInput(); auto output = GetOutput(); mitk::Image::Pointer resampledInput = input; double powerOfTwo = std::log2(input->GetDimension(1)); int finalSize = 0; + double spacingResize = 1; // check if this is a power of two by checking that log2 is int if (std::fmod(powerOfTwo, 1.0) >= std::numeric_limits::epsilon()) { finalSize = (int)pow(2, std::ceil(powerOfTwo)); double spacing_x = input->GetGeometry()->GetSpacing()[0]; double spacing_y = input->GetGeometry()->GetSpacing()[1] * ((double)input->GetDimensions()[1]) / finalSize; double dim[2] = {spacing_x, spacing_y}; resampledInput = m_FilterService->ApplyResampling(input, dim); + spacingResize = (double)input->GetDimension(1) / finalSize; } // do a fourier transform, multiply with an appropriate window for the filter, and transform back typedef itk::Image RealImageType; RealImageType::Pointer image; mitk::CastToItkImage(resampledInput, 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_ERROR << "Bandpass could not be applied"; mitkThrow() << "bandpass error"; } if (m_HighPass > m_LowPass) mitkThrow() << "High pass frequency higher than low pass frequency, abort"; - float singleVoxel = - 2 * M_PI / ((float)resampledInput->GetGeometry()->GetSpacing()[1] * resampledInput->GetDimension(1)); // [MHz] + float singleVoxel = spacingResize / (m_TimeSpacing * resampledInput->GetDimension(1)); // [Hz] + if(m_IsBFImage) + singleVoxel = spacingResize / (resampledInput->GetGeometry()->GetSpacing()[1] / 1e3 / m_SpeedOfSound * resampledInput->GetDimension(1)); // [Hz] float cutoffPixelHighPass = std::min((m_HighPass / singleVoxel), (float)resampledInput->GetDimension(1) / 2.0f); float cutoffPixelLowPass = std::min((m_LowPass / singleVoxel), (float)resampledInput->GetDimension(1) / 2.0f); MITK_INFO << "SingleVoxel: " << singleVoxel; MITK_INFO << "HighPass: " << m_HighPass; MITK_INFO << "LowPass: " << m_LowPass; MITK_INFO << "cutoffPixelHighPass: " << cutoffPixelHighPass; MITK_INFO << "cutoffPixelLowPass: " << cutoffPixelLowPass; RealImageType::Pointer fftMultiplicator = BPFunction(resampledInput, cutoffPixelHighPass, cutoffPixelLowPass, m_HighPassAlpha, m_LowPassAlpha); typedef itk::MultiplyImageFilter MultiplyFilterType; MultiplyFilterType::Pointer multiplyFilter = MultiplyFilterType::New(); multiplyFilter->SetInput1(forwardFFTFilter->GetOutput()); multiplyFilter->SetInput2(fftMultiplicator); /* GrabItkImageMemory(fftMultiplicator, output); mitk::IOUtil::Save(output, "D:/fftImage.nrrd"); typedef itk::ComplexToModulusImageFilter< ComplexImageType, RealImageType > modulusType; modulusType::Pointer modul = modulusType::New(); modul->SetInput(multiplyFilter->GetOutput()); GrabItkImageMemory(modul->GetOutput(), output); mitk::IOUtil::Save(output, "D:/fftout.nrrd"); modul->SetInput(forwardFFTFilter->GetOutput()); GrabItkImageMemory(modul->GetOutput(), output); mitk::IOUtil::Save(output, "D:/fftin.nrrd");*/ typedef itk::FFT1DComplexConjugateToRealImageFilter InverseFilterType; InverseFilterType::Pointer inverseFFTFilter = InverseFilterType::New(); inverseFFTFilter->SetInput(multiplyFilter->GetOutput()); inverseFFTFilter->SetDirection(1); GrabItkImageMemory(inverseFFTFilter->GetOutput(), output); double spacing_x = input->GetGeometry()->GetSpacing()[0]; double spacing_y = input->GetGeometry()->GetSpacing()[1]; double dim[2] = {spacing_x, spacing_y}; auto resampledOutput = m_FilterService->ApplyResampling(output, dim); output->Initialize(mitk::MakeScalarPixelType(), 3, input->GetDimensions()); output->SetSpacing(resampledOutput->GetGeometry()->GetSpacing()); ImageReadAccessor copy(resampledOutput); output->SetImportVolume(copy.GetData()); } diff --git a/Modules/PhotoacousticsAlgorithms/source/utils/mitkPhotoacousticFilterService.cpp b/Modules/PhotoacousticsAlgorithms/source/utils/mitkPhotoacousticFilterService.cpp index 2ab8cbca1c..4c1dc490a0 100644 --- a/Modules/PhotoacousticsAlgorithms/source/utils/mitkPhotoacousticFilterService.cpp +++ b/Modules/PhotoacousticsAlgorithms/source/utils/mitkPhotoacousticFilterService.cpp @@ -1,233 +1,237 @@ /*=================================================================== 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 "mitkPhotoacousticFilterService.h" #include "mitkITKImageImport.h" #include #include #include "./OpenCLFilter/mitkPhotoacousticBModeFilter.h" #include "mitkConvert2Dto3DImageFilter.h" #include #include "../ITKFilter/ITKUltrasound/itkBModeImageFilter.h" #include "../ITKFilter/itkPhotoacousticBModeImageFilter.h" #include // itk dependencies #include "itkImage.h" #include "itkResampleImageFilter.h" #include "itkCastImageFilter.h" #include "itkCropImageFilter.h" #include "itkRescaleIntensityImageFilter.h" #include "itkIntensityWindowingImageFilter.h" #include #include "itkBSplineInterpolateImageFunction.h" #include // needed itk image filters #include "mitkImageCast.h" mitk::PhotoacousticFilterService::PhotoacousticFilterService() { MITK_INFO << "[PhotoacousticFilterService] created filter service"; } mitk::PhotoacousticFilterService::~PhotoacousticFilterService() { MITK_INFO << "[PhotoacousticFilterService] destructed filter service"; } mitk::Image::Pointer mitk::PhotoacousticFilterService::ApplyBmodeFilter( mitk::Image::Pointer inputImage, BModeMethod method, bool UseLogFilter) { // 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; auto floatImage = ConvertToFloat(inputImage); if (method == BModeMethod::Abs) { PhotoacousticBModeFilter::Pointer filter = PhotoacousticBModeFilter::New(); filter->UseLogFilter(UseLogFilter); filter->SetInput(floatImage); filter->Update(); return filter->GetOutput(); } 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(floatImage, itkImage); if (UseLogFilter) { bModeFilter->SetInput(itkImage); bModeFilter->SetDirection(1); itkImage = bModeFilter->GetOutput(); } else { photoacousticBModeFilter->SetInput(itkImage); photoacousticBModeFilter->SetDirection(1); itkImage = photoacousticBModeFilter->GetOutput(); } return mitk::GrabItkImageMemory(itkImage); } mitk::Image::Pointer mitk::PhotoacousticFilterService::ApplyResampling( mitk::Image::Pointer inputImage, double outputSpacing[2]) { typedef itk::Image< float, 3 > itkFloatImageType; auto floatImage = ConvertToFloat(inputImage); typedef itk::ResampleImageFilter < itkFloatImageType, itkFloatImageType > ResampleImageFilter; ResampleImageFilter::Pointer resampleImageFilter = ResampleImageFilter::New(); itkFloatImageType::Pointer itkImage; mitk::CastToItkImage(floatImage, itkImage); itkFloatImageType::SpacingType outputSpacingItk; itkFloatImageType::SizeType inputSizeItk = itkImage->GetLargestPossibleRegion().GetSize(); itkFloatImageType::SizeType outputSizeItk = inputSizeItk; outputSpacingItk[0] = outputSpacing[0]; outputSpacingItk[1] = outputSpacing[1]; outputSpacingItk[2] = itkImage->GetSpacing()[2]; outputSizeItk[0] = outputSizeItk[0] * (floatImage->GetGeometry()->GetSpacing()[0] / outputSpacing[0]); outputSizeItk[1] = outputSizeItk[1] * (floatImage->GetGeometry()->GetSpacing()[1] / outputSpacing[1]); resampleImageFilter->SetInput(itkImage); resampleImageFilter->SetSize(outputSizeItk); resampleImageFilter->SetOutputSpacing(outputSpacingItk); resampleImageFilter->UpdateLargestPossibleRegion(); return mitk::GrabItkImageMemory(resampleImageFilter->GetOutput()); } mitk::Image::Pointer mitk::PhotoacousticFilterService::ApplyCropping( mitk::Image::Pointer inputImage, int above, int below, int right, int left, int zStart, int zEnd) { try { auto floatImage = ConvertToFloat(inputImage); mitk::CropImageFilter::Pointer cropImageFilter = mitk::CropImageFilter::New(); cropImageFilter->SetInput(floatImage); cropImageFilter->SetXPixelsCropStart(left); cropImageFilter->SetXPixelsCropEnd(right); cropImageFilter->SetYPixelsCropStart(above); cropImageFilter->SetYPixelsCropEnd(below); cropImageFilter->SetZPixelsCropStart(zStart); cropImageFilter->SetZPixelsCropEnd(zEnd); cropImageFilter->Update(); return cropImageFilter->GetOutput(); } catch (mitk::Exception &e) { std::string errorMessage = "Caught unexpected exception "; errorMessage.append(e.what()); MITK_ERROR << errorMessage; return inputImage; } } mitk::Image::Pointer mitk::PhotoacousticFilterService::ApplyBeamforming( mitk::Image::Pointer inputImage, BeamformingSettings::Pointer config, std::function progressHandle) { Image::Pointer processedImage = mitk::Image::New(); if (inputImage->GetDimension() != 3) { mitk::Convert2Dto3DImageFilter::Pointer dimensionImageFilter = mitk::Convert2Dto3DImageFilter::New(); dimensionImageFilter->SetInput(inputImage); dimensionImageFilter->Update(); processedImage = dimensionImageFilter->GetOutput(); } else { processedImage = inputImage; } m_BeamformingFilter = mitk::BeamformingFilter::New(config); m_BeamformingFilter->SetInput(ConvertToFloat(processedImage)); m_BeamformingFilter->SetProgressHandle(progressHandle); m_BeamformingFilter->UpdateLargestPossibleRegion(); processedImage = m_BeamformingFilter->GetOutput(); return processedImage; } mitk::Image::Pointer mitk::PhotoacousticFilterService::ApplyBandpassFilter( mitk::Image::Pointer data, float BPHighPass, float BPLowPass, - float alphaHighPass, float alphaLowPass) + float alphaHighPass, float alphaLowPass, + float TimeSpacing, float SpeedOfSound, bool IsBFImage) { try { auto floatData = ConvertToFloat(data); mitk::BandpassFilter::Pointer bandpassFilter = mitk::BandpassFilter::New(); bandpassFilter->SetInput(floatData); bandpassFilter->SetHighPass(BPHighPass); bandpassFilter->SetLowPass(BPLowPass); bandpassFilter->SetHighPassAlpha(alphaHighPass); bandpassFilter->SetLowPassAlpha(alphaLowPass); + bandpassFilter->SetSpeedOfSound(SpeedOfSound); + bandpassFilter->SetTimeSpacing(TimeSpacing); + bandpassFilter->SetIsBFImage(IsBFImage); bandpassFilter->Update(); return bandpassFilter->GetOutput(); } catch (mitk::Exception &e) { std::string errorMessage = "Caught unexpected exception "; errorMessage.append(e.what()); MITK_ERROR << errorMessage; return data; } } mitk::Image::Pointer mitk::PhotoacousticFilterService::ConvertToFloat(mitk::Image::Pointer inputImage) { if ((inputImage->GetPixelType().GetTypeAsString() == "scalar (float)" || inputImage->GetPixelType().GetTypeAsString() == " (float)")) { return inputImage; } mitk::CastToFloatImageFilter::Pointer castToFloatImageFilter = mitk::CastToFloatImageFilter::New(); castToFloatImageFilter->SetInput(inputImage); castToFloatImageFilter->Update(); return castToFloatImageFilter->GetOutput(); } 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 37cbed4acd..0f84f98824 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 @@ -1,1042 +1,1051 @@ /*=================================================================== 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 "mitkPhotoacousticFilterService.h" #include "mitkCastToFloatImageFilter.h" #include "mitkBeamformingFilter.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::PhotoacousticFilterService::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())); connect(m_Controls.UseSignalDelay, SIGNAL(clicked()), this, SLOT(UseSignalDelay())); - + connect(m_Controls.IsBFImage, SIGNAL(clicked()), this, SLOT(UpdateImageInfo())); UpdateSaveBoxes(); UseSignalDelay(); 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.UseGPUBmode->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::UseSignalDelay() { if (m_Controls.UseSignalDelay->isChecked()) { m_Controls.SignalDelay->setEnabled(true); } else { m_Controls.SignalDelay->setEnabled(false); } } 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::Load(filename.toStdString().c_str()); auto BFconfig = CreateBeamformingSettings(image); // Beamforming if (doSteps[0]) { std::function progressHandle = [this](int progress, std::string progressInfo) { this->UpdateProgress(progress, progressInfo); }; m_Controls.progressBar->setValue(100); image = m_FilterBank->ApplyBeamforming(image, BFconfig, 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, 0); 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) { QMessageBox Msgbox; Msgbox.setText("LowPass too low, disabled it."); Msgbox.exec(); BPLowPass = 0; } if (BPLowPass < 0) { QMessageBox Msgbox; Msgbox.setText("LowPass too high, disabled it."); Msgbox.exec(); BPLowPass = 0; } if (BPHighPass > maxFrequency) { QMessageBox Msgbox; Msgbox.setText("HighPass too high, disabled it."); Msgbox.exec(); BPHighPass = 0; } if (BPHighPass > maxFrequency - BPLowPass) { QMessageBox Msgbox; Msgbox.setText("HighPass higher than LowPass, disabled both."); Msgbox.exec(); BPHighPass = 0; BPLowPass = 0; } image = m_FilterBank->ApplyBandpassFilter(image, BPHighPass, BPLowPass, m_Controls.BPFalloffHigh->value(), - m_Controls.BPFalloffLow->value()); + m_Controls.BPFalloffLow->value(), + BFconfig->GetTimeSpacing(), + BFconfig->GetSpeedOfSound(), + m_Controls.IsBFImage->isChecked()); 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"); if (m_Controls.BModeMethod->currentText() == "Absolute Filter") image = m_FilterBank->ApplyBmodeFilter(image, mitk::PhotoacousticFilterService::BModeMethod::Abs, m_UseLogfilter); else if (m_Controls.BModeMethod->currentText() == "Envelope Detection") image = m_FilterBank->ApplyBmodeFilter(image, mitk::PhotoacousticFilterService::BModeMethod::EnvelopeDetection, m_UseLogfilter); double desiredSpacing[2]{ image->GetGeometry()->GetSpacing()[0], m_ResampleSpacing }; image = m_FilterBank->ApplyResampling(image, desiredSpacing); 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) { auto BFconfig = CreateBeamformingSettings(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"); DisableControls(); BeamformingThread *thread = new BeamformingThread(); connect(thread, &BeamformingThread::result, this, &PAImageProcessing::HandleResults); connect(thread, &BeamformingThread::updateProgress, this, &PAImageProcessing::UpdateProgress); connect(thread, &BeamformingThread::finished, thread, &QObject::deleteLater); thread->setConfig(BFconfig); if (m_Controls.UseSignalDelay->isChecked()) thread->setSignalDelay(m_Controls.SignalDelay->value()); thread->setInputImage(image); thread->setFilterBank(m_FilterBank); MITK_INFO << "Started new thread for Beamforming"; thread->start(); } } } void PAImageProcessing::HandleResults(mitk::Image::Pointer image, std::string nameExtension) { MITK_INFO << "Handling results..."; auto newNode = mitk::DataNode::New(); newNode->SetData(image); newNode->SetName(m_OldNodeName + nameExtension); // update level window for the current dynamic range mitk::LevelWindow levelWindow; newNode->GetLevelWindow(levelWindow); 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); EnableControls(); // update rendering mitk::RenderingManager::GetInstance()->InitializeViews(image->GetGeometry(), mitk::RenderingManager::REQUEST_UPDATE_ALL, true); mitk::RenderingManager::GetInstance()->RequestUpdateAll(); MITK_INFO << "Handling results...[Done]"; } 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) { 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(); DisableControls(); BmodeThread *thread = new BmodeThread(); connect(thread, &BmodeThread::result, this, &PAImageProcessing::HandleResults); 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::PhotoacousticFilterService::BModeMethod::Abs, useGPU); else if (m_Controls.BModeMethod->currentText() == "Envelope Detection") thread->setConfig(m_UseLogfilter, m_ResampleSpacing, mitk::PhotoacousticFilterService::BModeMethod::EnvelopeDetection, useGPU); thread->setInputImage(image); thread->setFilterBank(m_FilterBank); MITK_INFO << "Started new thread for Image Processing"; thread->start(); } } } 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) { 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(); DisableControls(); CropThread *thread = new CropThread(); connect(thread, &CropThread::result, this, &PAImageProcessing::HandleResults); connect(thread, &CropThread::finished, thread, &QObject::deleteLater); if(m_Controls.Partial->isChecked()) thread->setConfig(m_Controls.CutoffAbove->value(), m_Controls.CutoffBelow->value(), m_Controls.boundLow->value(), m_Controls.boundHigh->value()); else thread->setConfig(m_Controls.CutoffAbove->value(), m_Controls.CutoffBelow->value(), 0, image->GetDimension(2) - 1); thread->setInputImage(image); thread->setFilterBank(m_FilterBank); MITK_INFO << "Started new thread for Image Cropping"; thread->start(); } } } 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 applying a bandpass filter."); 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) { + auto config = CreateBeamformingSettings(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(); DisableControls(); BandpassThread *thread = new BandpassThread(); connect(thread, &BandpassThread::result, this, &PAImageProcessing::HandleResults); connect(thread, &BandpassThread::finished, thread, &QObject::deleteLater); float BPHighPass = 1000000.0f * m_Controls.BPhigh->value(); // [Now in Hz] float BPLowPass = 1000000.0f * m_Controls.BPlow->value(); // [Now in Hz] - thread->setConfig(BPHighPass, BPLowPass, m_Controls.BPFalloffLow->value(), m_Controls.BPFalloffHigh->value(), 0); + thread->setConfig(BPHighPass, BPLowPass, m_Controls.BPFalloffLow->value(), m_Controls.BPFalloffHigh->value(), + config->GetTimeSpacing(), config->GetSpeedOfSound(), m_Controls.IsBFImage->isChecked()); thread->setInputImage(image); thread->setFilterBank(m_FilterBank); MITK_INFO << "Started new thread for Bandpass filter"; thread->start(); } } } 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); float speedOfSound = m_Controls.SpeedOfSound->value(); // [m/s] std::stringstream frequency; float timeSpacing; if (m_Controls.UseImageSpacing->isChecked()) { timeSpacing = image->GetGeometry()->GetSpacing()[1] / 1000000.0f; MITK_INFO << "Calculated Scan Depth of " << (image->GetDimension(1)*image->GetGeometry()->GetSpacing()[1] / 1000000) * speedOfSound * 100 / 2 << "cm"; } else { timeSpacing = (2 * m_Controls.ScanDepth->value() / 1000 / speedOfSound) / image->GetDimension(1); } - float maxFrequency = (1 / timeSpacing) * image->GetDimension(1) / 2 / 2 / 1000; - frequency << maxFrequency / 1000000; //[MHz] + float maxFrequency = (1 / timeSpacing) / 2; + if(m_Controls.IsBFImage->isChecked()) + maxFrequency = ( 1 / (image->GetGeometry()->GetSpacing()[1] / 1e3 / speedOfSound)) / 2; + frequency << maxFrequency / 1e6; //[MHz] frequency << "MHz"; - m_Controls.BPhigh->setMaximum(maxFrequency / 1000000); - m_Controls.BPlow->setMaximum(maxFrequency / 1000000); + m_Controls.BPhigh->setMaximum(maxFrequency / 1e6); + m_Controls.BPlow->setMaximum(maxFrequency / 1e6); 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(); } mitk::BeamformingSettings::Pointer PAImageProcessing::CreateBeamformingSettings(mitk::Image::Pointer image) { - mitk::BeamformingSettings::BeamformingAlgorithm algorithm; + mitk::BeamformingSettings::BeamformingAlgorithm algorithm = mitk::BeamformingSettings::BeamformingAlgorithm::DAS; if ("DAS" == m_Controls.BFAlgorithm->currentText()) algorithm = mitk::BeamformingSettings::BeamformingAlgorithm::DAS; else if ("DMAS" == m_Controls.BFAlgorithm->currentText()) algorithm = mitk::BeamformingSettings::BeamformingAlgorithm::DMAS; else if ("sDMAS" == m_Controls.BFAlgorithm->currentText()) algorithm = mitk::BeamformingSettings::BeamformingAlgorithm::sDMAS; mitk::BeamformingSettings::DelayCalc delay = mitk::BeamformingSettings::DelayCalc::Spherical; - mitk::BeamformingSettings::Apodization apod; + mitk::BeamformingSettings::Apodization apod = mitk::BeamformingSettings::Apodization::Box; if ("Von Hann" == m_Controls.Apodization->currentText()) { apod = mitk::BeamformingSettings::Apodization::Hann; } else if ("Hamming" == m_Controls.Apodization->currentText()) { apod = mitk::BeamformingSettings::Apodization::Hamm; } else if ("Box" == m_Controls.Apodization->currentText()) { apod = mitk::BeamformingSettings::Apodization::Box; } float pitchInMeters = m_Controls.Pitch->value() / 1000; // [m] float speedOfSound = m_Controls.SpeedOfSound->value(); // [m/s] unsigned int samplesPerLine = m_Controls.Samples->value(); unsigned int reconstructionLines = m_Controls.Lines->value(); unsigned int apodizatonArraySize = m_Controls.Lines->value(); float angle = m_Controls.Angle->value(); // [deg] bool useGPU = m_Controls.UseGPUBf->isChecked(); float timeSpacing; if (m_Controls.UseImageSpacing->isChecked()) { timeSpacing = image->GetGeometry()->GetSpacing()[1] / 1000000.0f; MITK_INFO << "Calculated Scan Depth of " << (image->GetDimension(1)*image->GetGeometry()->GetSpacing()[1] / 1000000) * speedOfSound * 100 / 2 << "cm"; } else { timeSpacing = (2 * m_Controls.ScanDepth->value() / 1000 / speedOfSound) / image->GetDimension(1); } - bool isPAImage; + bool isPAImage = true; if ("US Image" == m_Controls.ImageType->currentText()) { isPAImage = false; } else if ("PA Image" == m_Controls.ImageType->currentText()) { isPAImage = true; } float reconstructionDepth = m_Controls.ReconstructionDepth->value() / 1000.f; // [m] return mitk::BeamformingSettings::New(pitchInMeters, speedOfSound, timeSpacing, angle, isPAImage, samplesPerLine, reconstructionLines, image->GetDimensions(), reconstructionDepth, useGPU, 16, delay, apod, apodizatonArraySize, algorithm); } void PAImageProcessing::EnableControls() { m_Controls.BatchProcessing->setEnabled(true); m_Controls.StepBeamforming->setEnabled(true); m_Controls.StepBandpass->setEnabled(true); m_Controls.StepCropping->setEnabled(true); m_Controls.StepBMode->setEnabled(true); UpdateSaveBoxes(); m_Controls.DoResampling->setEnabled(true); UseResampling(); m_Controls.Logfilter->setEnabled(true); m_Controls.BModeMethod->setEnabled(true); m_Controls.buttonApplyBModeFilter->setEnabled(true); m_Controls.CutoffAbove->setEnabled(true); m_Controls.CutoffBelow->setEnabled(true); m_Controls.buttonApplyCropFilter->setEnabled(true); m_Controls.BPSpeedOfSound->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.ReconstructionDepth->setEnabled(true); m_Controls.ImageType->setEnabled(true); m_Controls.Apodization->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.BPFalloffLow->setEnabled(true); m_Controls.BPFalloffHigh->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); m_Controls.UseSignalDelay->setEnabled(true); m_Controls.SignalDelay->setEnabled(true); } void PAImageProcessing::DisableControls() { m_Controls.BatchProcessing->setEnabled(false); m_Controls.StepBeamforming->setEnabled(false); m_Controls.StepBandpass->setEnabled(false); m_Controls.StepCropping->setEnabled(false); m_Controls.StepBMode->setEnabled(false); m_Controls.SaveBeamforming->setEnabled(false); m_Controls.SaveBandpass->setEnabled(false); m_Controls.SaveCropping->setEnabled(false); m_Controls.SaveBMode->setEnabled(false); m_Controls.DoResampling->setEnabled(false); m_Controls.ResamplingValue->setEnabled(false); m_Controls.Logfilter->setEnabled(false); m_Controls.BModeMethod->setEnabled(false); m_Controls.buttonApplyBModeFilter->setEnabled(false); m_Controls.CutoffAbove->setEnabled(false); m_Controls.CutoffBelow->setEnabled(false); m_Controls.buttonApplyCropFilter->setEnabled(false); m_Controls.BPSpeedOfSound->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.ReconstructionDepth->setEnabled(false); m_Controls.ImageType->setEnabled(false); m_Controls.Apodization->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.BPFalloffLow->setEnabled(false); m_Controls.BPFalloffHigh->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); m_Controls.UseSignalDelay->setEnabled(false); m_Controls.SignalDelay->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 preprocessedImage = m_InputImage; if (m_SignalDelay != 0) { int cropPixels = std::round(m_SignalDelay / m_BFconfig->GetTimeSpacing() / 1000000); MITK_INFO << cropPixels; preprocessedImage = m_FilterBank->ApplyCropping(m_InputImage, cropPixels, 0, 0, 0, 0, m_InputImage->GetDimension(2) - 1); } mitk::Image::Pointer resultImage; std::function progressHandle = [this](int progress, std::string progressInfo) { emit updateProgress(progress, progressInfo); }; resultImage = m_FilterBank->ApplyBeamforming(preprocessedImage, m_BFconfig, progressHandle); emit result(resultImage, "_bf"); } void BeamformingThread::setConfig(mitk::BeamformingSettings::Pointer BFconfig) { m_BFconfig = BFconfig; } void BeamformingThread::setSignalDelay(float delay) { m_SignalDelay = delay; } void BeamformingThread::setInputImage(mitk::Image::Pointer image) { m_InputImage = image; } void BmodeThread::run() { mitk::Image::Pointer resultImage = m_FilterBank->ApplyBmodeFilter(m_InputImage, m_Method, m_UseLogfilter); if (m_ResampleSpacing != 0) { double desiredSpacing[2]{ m_InputImage->GetGeometry()->GetSpacing()[0], m_ResampleSpacing }; resultImage = m_FilterBank->ApplyResampling(resultImage, desiredSpacing); } emit result(resultImage, "_bmode"); } void BmodeThread::setConfig(bool useLogfilter, double resampleSpacing, mitk::PhotoacousticFilterService::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, m_CutSliceFirst, (m_InputImage->GetDimension(2) - 1) - m_CutSliceLast); emit result(resultImage, "_cropped"); } void CropThread::setConfig(unsigned int CutAbove, unsigned int CutBelow, unsigned int CutSliceFirst, unsigned int CutSliceLast) { m_CutAbove = CutAbove; m_CutBelow = CutBelow; m_CutSliceLast = CutSliceLast; m_CutSliceFirst = CutSliceFirst; } void CropThread::setInputImage(mitk::Image::Pointer image) { m_InputImage = image; } void BandpassThread::run() { - mitk::Image::Pointer resultImage = m_FilterBank->ApplyBandpassFilter(m_InputImage, m_BPHighPass, m_BPLowPass, m_TukeyAlphaHighPass, m_TukeyAlphaLowPass); + mitk::Image::Pointer resultImage = m_FilterBank->ApplyBandpassFilter(m_InputImage, m_BPHighPass, m_BPLowPass, m_TukeyAlphaHighPass, m_TukeyAlphaLowPass, m_TimeSpacing, m_SpeedOfSound, m_IsBFImage); emit result(resultImage, "_bandpassed"); } -void BandpassThread::setConfig(float BPHighPass, float BPLowPass, float TukeyAlphaHighPass, float TukeyAlphaLowPass, float recordTime) +void BandpassThread::setConfig(float BPHighPass, float BPLowPass, float TukeyAlphaHighPass, float TukeyAlphaLowPass, float TimeSpacing, float SpeedOfSound, bool IsBFImage) { m_BPHighPass = BPHighPass; m_BPLowPass = BPLowPass; m_TukeyAlphaHighPass = TukeyAlphaHighPass; m_TukeyAlphaLowPass = TukeyAlphaLowPass; - m_RecordTime = recordTime; + m_TimeSpacing = TimeSpacing; + m_SpeedOfSound = SpeedOfSound; + m_IsBFImage = IsBFImage; } void BandpassThread::setInputImage(mitk::Image::Pointer image) { m_InputImage = image; } diff --git a/Plugins/org.mitk.gui.qt.photoacoustics.imageprocessing/src/internal/PAImageProcessing.h b/Plugins/org.mitk.gui.qt.photoacoustics.imageprocessing/src/internal/PAImageProcessing.h index 1b90f0d277..159ae2f2be 100644 --- a/Plugins/org.mitk.gui.qt.photoacoustics.imageprocessing/src/internal/PAImageProcessing.h +++ b/Plugins/org.mitk.gui.qt.photoacoustics.imageprocessing/src/internal/PAImageProcessing.h @@ -1,242 +1,244 @@ /*=================================================================== 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 PAImageProcessing_h #define PAImageProcessing_h #include #include #include #include #include "ui_PAImageProcessingControls.h" #include "mitkBeamformingFilter.h" #include "mitkBeamformingSettings.h" Q_DECLARE_METATYPE(mitk::Image::Pointer) Q_DECLARE_METATYPE(std::string) /*! * \brief Plugin implementing an interface for the Photoacoustic Algorithms Module * * Beamforming, Image processing as B-Mode filtering, cropping, resampling, as well as batch processing can be performed using this plugin. */ class PAImageProcessing : public QmitkAbstractView { // this is needed for all Qt objects that should have a Qt meta-object // (everything that derives from QObject and wants to have signal/slots) Q_OBJECT public: static const std::string VIEW_ID; PAImageProcessing(); protected slots: void UpperSliceBoundChanged(); void LowerSliceBoundChanged(); void SliceBoundsEnabled(); void UseResampling(); void UseLogfilter(); void SetResampling(); void UseImageSpacing(); void UpdateImageInfo(); void UseSignalDelay(); /** \brief Beamforming is being performed in a separate thread to keep the workbench from freezing. */ void StartBeamformingThread(); /** \brief B-mode filtering is being performed in a separate thread to keep the workbench from freezing. */ void StartBmodeThread(); /** \brief Cropping is being performed in a separate thread to keep the workbench from freezing. */ void StartCropThread(); /** \brief Method called when the bandpass thread finishes; * it adds the image to a new data node and registers it to the worbench's data storage */ void HandleResults(mitk::Image::Pointer image, std::string nameExtension); /** \brief Bandpassing is being performed in a separate thread to keep the workbench from freezing. */ void StartBandpassThread(); void UpdateProgress(int progress, std::string progressInfo); void PAMessageBox(std::string message); void BatchProcessing(); void UpdateSaveBoxes(); void ChangedSOSBandpass(); void ChangedSOSBeamforming(); protected: virtual void CreateQtPartControl(QWidget *parent) override; virtual void SetFocus() override; /** \brief called by QmitkFunctionality when DataManager's selection has changed. * On a change some parameters are internally updated to calculate bounds for GUI elements as the slice selector for beamforming or * the bandpass filter settings. */ virtual void OnSelectionChanged(berry::IWorkbenchPart::Pointer source, const QList& nodes) override; /** \brief Instance of the GUI controls */ Ui::PAImageProcessingControls m_Controls; float m_ResampleSpacing; bool m_UseLogfilter; std::string m_OldNodeName; /** \brief Method for updating the BFconfig by using a selected image and the GUI configuration. */ mitk::BeamformingSettings::Pointer CreateBeamformingSettings(mitk::Image::Pointer image); void EnableControls(); void DisableControls(); /** \brief Class through which the filters are called. */ mitk::PhotoacousticFilterService::Pointer m_FilterBank; }; class BeamformingThread : public QThread { Q_OBJECT void run() Q_DECL_OVERRIDE; signals: void result(mitk::Image::Pointer, std::string nameExtension); void updateProgress(int, std::string); void message(std::string); public: BeamformingThread() : m_SignalDelay(0) {} void setConfig(mitk::BeamformingSettings::Pointer BFconfig); void setSignalDelay(float delay); void setInputImage(mitk::Image::Pointer image); void setFilterBank(mitk::PhotoacousticFilterService::Pointer filterBank) { m_FilterBank = filterBank; } protected: mitk::BeamformingSettings::Pointer m_BFconfig; mitk::Image::Pointer m_InputImage; int m_Cutoff; float m_SignalDelay; // [us] mitk::PhotoacousticFilterService::Pointer m_FilterBank; }; class BmodeThread : public QThread { Q_OBJECT void run() Q_DECL_OVERRIDE; signals: void result(mitk::Image::Pointer, std::string nameExtension); public: enum BModeMethod { ShapeDetection, Abs }; void setConfig(bool useLogfilter, double resampleSpacing, mitk::PhotoacousticFilterService::BModeMethod method, bool useGPU); void setInputImage(mitk::Image::Pointer image); void setFilterBank(mitk::PhotoacousticFilterService::Pointer filterBank) { m_FilterBank = filterBank; } protected: mitk::Image::Pointer m_InputImage; mitk::PhotoacousticFilterService::BModeMethod m_Method; bool m_UseLogfilter; double m_ResampleSpacing; bool m_UseGPU; mitk::PhotoacousticFilterService::Pointer m_FilterBank; }; class CropThread : public QThread { Q_OBJECT void run() Q_DECL_OVERRIDE; signals: void result(mitk::Image::Pointer, std::string nameExtension); public: void setConfig(unsigned int CutAbove, unsigned int CutBelow, unsigned int CutSliceFirst, unsigned int CutSliceLast); void setInputImage(mitk::Image::Pointer image); void setFilterBank(mitk::PhotoacousticFilterService::Pointer filterBank) { m_FilterBank = filterBank; } protected: mitk::Image::Pointer m_InputImage; unsigned int m_CutAbove; unsigned int m_CutBelow; unsigned int m_CutSliceLast; unsigned int m_CutSliceFirst; mitk::PhotoacousticFilterService::Pointer m_FilterBank; }; class BandpassThread : public QThread { Q_OBJECT void run() Q_DECL_OVERRIDE; signals: void result(mitk::Image::Pointer, std::string nameExtension); public: - void setConfig(float BPHighPass, float BPLowPass, float TukeyAlphaHighPass, float TukeyAlphaLowPass, float recordTime); + void setConfig(float BPHighPass, float BPLowPass, float TukeyAlphaHighPass, float TukeyAlphaLowPass, float TimeSpacing, float SpeedOfSound, bool IsBFImage); void setInputImage(mitk::Image::Pointer image); void setFilterBank(mitk::PhotoacousticFilterService::Pointer filterBank) { m_FilterBank = filterBank; } protected: mitk::Image::Pointer m_InputImage; float m_BPHighPass; float m_BPLowPass; float m_TukeyAlphaHighPass; float m_TukeyAlphaLowPass; - float m_RecordTime; + float m_TimeSpacing; + float m_SpeedOfSound; + bool m_IsBFImage; mitk::PhotoacousticFilterService::Pointer m_FilterBank; }; #endif // PAImageProcessing_h 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 5901dcb238..bba077088b 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 @@ -1,1011 +1,1021 @@ PAImageProcessingControls 0 0 385 1278 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 false Save false Save - true + false Beamform true BMode true Save true <html><head/><body><p><span style=" font-weight:600;">B-mode Filter Settings</span></p></body></html> - Absolute Filter + Envelope Detection - Absolute Filter + Envelope Detection - Envelope Detection + Absolute Filter Do Resampling true 0 0 13 0 11 3 0.010000000000000 1.000000000000000 0.010000000000000 0.150000000000000 [mm] Resampled Depth Spacing Logarithmic Compression 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 0.100000000000000 1.000000000000000 [MHz] f High Pass [MHz] f Low Pass 0 0 3 200.000000000000000 0.100000000000000 - + 1 200.000000000000000 3000.000000000000000 5.000000000000000 1540.000000000000000 - + [m/s] Speed of Sound 1.000000000000000 0.100000000000000 0.500000000000000 Tukey Window α High Pass 2 1.000000000000000 0.100000000000000 - 0.000000000000000 + 0.500000000000000 Tukey Window α Low Pass + + + + If not checked, treat input as raw US/PA data with Y-axis a time coordinate [us] + + + Assume Spatial Coordinates + + + <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 - 300 + 0 Cut Top Cut Bottom 99999 5 - 800 + 0 false 99999 Maximal beamformed slice max false 99999 10 minimal beamformed slice min select slices <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 0 0 1 200.000000000000000 3000.000000000000000 5.000000000000000 1540.000000000000000 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 DAS DMAS sDMAS 0 0 PA Image US Image Image Type 0 0 Von Hann Hamming Box Apodization [m/s] Speed of Sound Compute On GPU true 0 0 1 1.000000000000000 180.000000000000000 27.000000000000000 [°] Element Angle <html><head/><body><p align="center"><span style=" font-size:10pt; font-weight:600; color:#ff0000;">Please select an image!</span></p></body></html> [mm] Reconstruction Depth 4 300.000000000000000 0.100000000000000 - 10.000000000000000 + 40.000000000000000 0.100000000000000 1.000000000000000 <html><head/><body><p>Some setups' hardware produces signal delays that need to be cropped out of the image before performing beamforming. To do this, select this box.</p></body></html> Consider Hardware Delay [µs] false Qt::Vertical 20 40