int testRepresenterForVectorImage(const std::string& datadir) {
typedef itk::StandardImageRepresenter<itk::Vector<float, 2>, 2> RepresenterType;
typedef GenericRepresenterTest<RepresenterType> RepresenterTestType;
const std::string referenceFilename = datadir + "/hand_dfs/df-hand-1.vtk";
const std::string testDatasetFilename = datadir + "/hand_dfs/df-hand-2.vtk";
RepresenterType::Pointer representer = RepresenterType::New();
VectorImageType::Pointer reference = loadVectorImage(referenceFilename);
representer->SetReference(reference);
// choose a test dataset, a point and its associate pixel value
VectorImageType::Pointer testDataset = loadVectorImage(testDatasetFilename);
VectorImageType::IndexType idx;
idx.Fill(0);
VectorImageType::PointType testPt;
reference->TransformIndexToPhysicalPoint(idx, testPt);
VectorImageType::PixelType testValue = testDataset->GetPixel(idx);
RepresenterTestType representerTest(representer, testDataset, std::make_pair(testPt, testValue));
return (representerTest.runAllTests() == true);
}
VectorImageType::Pointer loadVectorImage(const std::string& filename) {
itk::ImageFileReader<VectorImageType>::Pointer reader = itk::ImageFileReader<VectorImageType>::New();
reader->SetFileName(filename);
reader->Update();
VectorImageType::Pointer img = reader->GetOutput();
img->DisconnectPipeline();
return img;
}
void TestExtractChannels()
{
typedef itk::VectorImage<float, 2> VectorImageType;
VectorImageType::Pointer image = VectorImageType::New();
itk::Index<2> corner = {{0,0}};
itk::Size<2> size = {{100,100}};
itk::ImageRegion<2> region(corner, size);
image->SetRegions(region);
image->SetNumberOfComponentsPerPixel(3);
image->Allocate();
// Extract the first two channels
std::vector<unsigned int> channels;
channels.push_back(0);
channels.push_back(1);
typedef itk::VectorImage<float, 2> FloatScalarImageType;
FloatScalarImageType::Pointer floatScalarImage = FloatScalarImageType::New();
ITKHelpers::ExtractChannels(image.GetPointer(), channels, floatScalarImage.GetPointer());
typedef itk::VectorImage<unsigned char, 2> UnsignedCharScalarImageType;
UnsignedCharScalarImageType::Pointer unsignedCharScalarImage = UnsignedCharScalarImageType::New();
ITKHelpers::ExtractChannels(image.GetPointer(), channels, unsignedCharScalarImage.GetPointer());
}
bool TestCreateLuminanceImage()
{
// From RGB image
{
itk::Index<2> imageCorner = {{0,0}};
itk::Size<2> imageSize = {{100,100}};
itk::ImageRegion<2> imageRegion(imageCorner, imageSize);
typedef itk::Image<itk::RGBPixel<unsigned char>, 2> RGBImageType;
RGBImageType::Pointer rgbImage = RGBImageType::New();
rgbImage->SetRegions(imageRegion);
rgbImage->Allocate();
typedef itk::Image<float, 2> LuminanceImageType;
LuminanceImageType::Pointer luminanceImage = LuminanceImageType::New();
ITKHelpers::CreateLuminanceImage(rgbImage.GetPointer(), luminanceImage.GetPointer());
}
// From Vector image
{
itk::Index<2> imageCorner = {{0,0}};
itk::Size<2> imageSize = {{100,100}};
itk::ImageRegion<2> imageRegion(imageCorner, imageSize);
typedef itk::Image<itk::CovariantVector<unsigned char, 3>, 2> VectorImageType;
VectorImageType::Pointer vectorImage = VectorImageType::New();
vectorImage->SetRegions(imageRegion);
vectorImage->Allocate();
typedef itk::Image<float, 2> LuminanceImageType;
LuminanceImageType::Pointer luminanceImage = LuminanceImageType::New();
ITKHelpers::CreateLuminanceImage(vectorImage.GetPointer(), luminanceImage.GetPointer());
}
return true;
}
void TestExtractChannel()
{
typedef itk::VectorImage<float, 2> VectorImageType;
VectorImageType::Pointer image = VectorImageType::New();
itk::Index<2> corner = {{0,0}};
itk::Size<2> size = {{100,100}};
itk::ImageRegion<2> region(corner, size);
image->SetRegions(region);
image->SetNumberOfComponentsPerPixel(2);
image->Allocate();
typedef itk::Image<float, 2> FloatScalarImageType;
FloatScalarImageType::Pointer floatScalarImage = FloatScalarImageType::New();
ITKHelpers::ExtractChannel(image.GetPointer(), 0, floatScalarImage.GetPointer());
typedef itk::Image<unsigned char, 2> UnsignedCharScalarImageType;
UnsignedCharScalarImageType::Pointer unsignedCharScalarImage = UnsignedCharScalarImageType::New();
ITKHelpers::ExtractChannel(image.GetPointer(), 0, unsignedCharScalarImage.GetPointer());
}
void otb::Wrapper::ObjectsRadiometricStatistics::DoExecute()
{
VectorImageType::Pointer referenceImage = GetParameterImage("im");
otb::ogr::DataSource::Pointer ogrDS;
ogrDS = otb::ogr::DataSource::New(GetParameterString("in"), otb::ogr::DataSource::Modes::Update_LayerUpdate);
m_OGRDataSourceRendering = OGRDataSourceToMapFilterType::New();
m_OGRDataSourceRendering->AddOGRDataSource(ogrDS);
m_OGRDataSourceRendering->SetOutputSize(referenceImage->GetLargestPossibleRegion().GetSize());
m_OGRDataSourceRendering->SetOutputOrigin(referenceImage->GetOrigin());
m_OGRDataSourceRendering->SetOutputSpacing(referenceImage->GetSpacing());
m_OGRDataSourceRendering->SetOutputProjectionRef(referenceImage->GetProjectionRef());
// m_OGRDataSourceRendering->SetOutputParametersFromImage(referenceImage); // A tester
m_OGRDataSourceRendering->SetBackgroundValue(GetParameterInt("background"));
m_OGRDataSourceRendering->SetBurnAttributeMode(true);
m_OGRDataSourceRendering->SetBurnAttribute(GetParameterString("field"));
// Write label image from OGR
/*
WriterType::Pointer writer = WriterType::New();
writer->SetInput(m_OGRDataSourceRendering->GetOutput());
writer->SetFileName("label_image.tif");
writer->Update();
*/
// Label image from OGR to statistics label map
ConverterStatisticsType::Pointer converterStats = ConverterStatisticsType::New();
converterStats->SetInput(m_OGRDataSourceRendering->GetOutput());
converterStats->SetBackgroundValue(GetParameterInt("background"));
converterStats->Update();
// Prepare channel extraction
ExtractROIFilterType::Pointer m_ExtractROIFilter = ExtractROIFilterType::New();
m_ExtractROIFilter->SetInput(referenceImage);
// Update dataset with new fields
otb::ogr::Layer layer = ogrDS->GetLayerChecked(0);
OGRFieldDefn fieldNbPixels("NbPixels", OFTInteger);
layer.CreateField(fieldNbPixels, true);
OGRFieldDefn fieldFlatness("Flat", OFTReal);
layer.CreateField(fieldFlatness, true);
OGRFieldDefn fieldRoundness("Round", OFTReal);
layer.CreateField(fieldRoundness, true);
OGRFieldDefn fieldElongation("Elong", OFTReal);
layer.CreateField(fieldElongation, true);
OGRFieldDefn fieldPerimeter("Perim", OFTReal);
layer.CreateField(fieldPerimeter, true);
for(unsigned int i = 0; i < referenceImage->GetNumberOfComponentsPerPixel(); i++)
{
std::ostringstream fieldoss;
fieldoss<<"meanB"<<i+1;
OGRFieldDefn field(fieldoss.str().c_str(), OFTReal);
layer.CreateField(field, true);
}
for(unsigned int i = 0; i < referenceImage->GetNumberOfComponentsPerPixel(); i++)
{
std::ostringstream fieldoss;
fieldoss<<"stdB"<<i+1;
OGRFieldDefn field(fieldoss.str().c_str(), OFTReal);
layer.CreateField(field, true);
}
for(unsigned int i = 0; i < referenceImage->GetNumberOfComponentsPerPixel(); i++)
{
std::ostringstream fieldoss;
fieldoss<<"MedB"<<i+1;
OGRFieldDefn field(fieldoss.str().c_str(), OFTReal);
layer.CreateField(field, true);
}
for(unsigned int i = 0; i < referenceImage->GetNumberOfComponentsPerPixel(); i++)
{
std::ostringstream fieldoss;
fieldoss<<"VarB"<<i+1;
OGRFieldDefn field(fieldoss.str().c_str(), OFTReal);
layer.CreateField(field, true);
}
for(unsigned int i = 0; i < referenceImage->GetNumberOfComponentsPerPixel(); i++)
{
std::ostringstream fieldoss;
fieldoss<<"KurtB"<<i+1;
OGRFieldDefn field(fieldoss.str().c_str(), OFTReal);
layer.CreateField(field, true);
}
for(unsigned int i = 0; i < referenceImage->GetNumberOfComponentsPerPixel(); i++)
{
std::ostringstream fieldoss;
fieldoss<<"SkewB"<<i+1;
OGRFieldDefn field(fieldoss.str().c_str(), OFTReal);
layer.CreateField(field, true);
}
for(unsigned int i = 0; i < referenceImage->GetNumberOfComponentsPerPixel(); i++)
{
// Channel selection
m_ExtractROIFilter->SetChannel(i + 1);
// Statistics computation
StatisticsFilterType::Pointer statistics = StatisticsFilterType::New();
statistics->SetInput(converterStats->GetOutput());
statistics->SetFeatureImage(m_ExtractROIFilter->GetOutput());
statistics->SetComputePerimeter(true);
statistics->Update();
// Write shape attributes only one time
if(i==0)
{
for(otb::ogr::Layer::iterator featIt = layer.begin(); featIt!=layer.end(); ++featIt)
{
otb::ogr::Feature m_Feature = *featIt;
unsigned int label = m_Feature.ogr().GetFieldAsInteger(layer.GetLayerDefn().GetFieldIndex(GetParameterString("field").c_str()));
if(statistics->GetOutput()->HasLabel(label))
{
const StatisticsLabelObjectType *labelObjectStats = statistics->GetOutput()->GetLabelObject(label);
m_Feature.ogr().SetField("NbPixels", (int)labelObjectStats->GetNumberOfPixels());
m_Feature.ogr().SetField("Flat", labelObjectStats->GetFlatness());
m_Feature.ogr().SetField("Round", labelObjectStats->GetRoundness());
m_Feature.ogr().SetField("Elong", labelObjectStats->GetElongation());
m_Feature.ogr().SetField("Perim", labelObjectStats->GetPerimeter());
layer.SetFeature(m_Feature);
}
}
}
// Features iteration
for(otb::ogr::Layer::iterator featIt = layer.begin(); featIt!=layer.end(); ++featIt)
{
otb::ogr::Feature m_Feature = *featIt;
unsigned int label = m_Feature.ogr().GetFieldAsInteger(layer.GetLayerDefn().GetFieldIndex(GetParameterString("field").c_str()));
if(statistics->GetOutput()->HasLabel(label))
{
const StatisticsLabelObjectType *labelObjectStats = statistics->GetOutput()->GetLabelObject(label);
std::ostringstream fieldoss;
fieldoss<<"meanB"<<i+1;
m_Feature.ogr().SetField(fieldoss.str().c_str(),labelObjectStats->GetMean());
fieldoss.str("");
fieldoss<<"stdB"<<i+1;
m_Feature.ogr().SetField(fieldoss.str().c_str(),labelObjectStats->GetStandardDeviation());
fieldoss.str("");
fieldoss<<"medB"<<i+1;
m_Feature.ogr().SetField(fieldoss.str().c_str(),labelObjectStats->GetMedian());
fieldoss.str("");
fieldoss<<"varB"<<i+1;
m_Feature.ogr().SetField(fieldoss.str().c_str(),labelObjectStats->GetVariance());
fieldoss.str("");
fieldoss<<"kurtB"<<i+1;
m_Feature.ogr().SetField(fieldoss.str().c_str(),labelObjectStats->GetKurtosis());
fieldoss.str("");
fieldoss<<"skewB"<<i+1;
m_Feature.ogr().SetField(fieldoss.str().c_str(),labelObjectStats->GetSkewness());
fieldoss.str("");
}
else
{
otbAppLogINFO( << "Object number " << label << " is skipped. This could happen during the rasterisation process when an object is smaller than 1 pixel.");
}
}
}
}
void QmitkBasicImageProcessing::StartButtonClicked()
{
if(!m_SelectedImageNode->GetNode()) return;
this->BusyCursorOn();
mitk::Image::Pointer newImage;
try
{
newImage = dynamic_cast<mitk::Image*>(m_SelectedImageNode->GetNode()->GetData());
}
catch ( std::exception &e )
{
QString exceptionString = "An error occured during image loading:\n";
exceptionString.append( e.what() );
QMessageBox::warning( NULL, "Basic Image Processing", exceptionString , QMessageBox::Ok, QMessageBox::NoButton );
this->BusyCursorOff();
return;
}
// check if input image is valid, casting does not throw exception when casting from 'NULL-Object'
if ( (! newImage) || (newImage->IsInitialized() == false) )
{
this->BusyCursorOff();
QMessageBox::warning( NULL, "Basic Image Processing", "Input image is broken or not initialized. Returning.", QMessageBox::Ok, QMessageBox::NoButton );
return;
}
// check if operation is done on 4D a image time step
if(newImage->GetDimension() > 3)
{
mitk::ImageTimeSelector::Pointer timeSelector = mitk::ImageTimeSelector::New();
timeSelector->SetInput(newImage);
timeSelector->SetTimeNr( ((QmitkSliderNavigatorWidget*)m_Controls->sliceNavigatorTime)->GetPos() );
timeSelector->Update();
newImage = timeSelector->GetOutput();
}
// check if image or vector image
ImageType::Pointer itkImage = ImageType::New();
VectorImageType::Pointer itkVecImage = VectorImageType::New();
int isVectorImage = newImage->GetPixelType().GetNumberOfComponents();
if(isVectorImage > 1)
{
CastToItkImage( newImage, itkVecImage );
}
else
{
CastToItkImage( newImage, itkImage );
}
std::stringstream nameAddition("");
int param1 = m_Controls->sbParam1->value();
int param2 = m_Controls->sbParam2->value();
double dparam1 = m_Controls->dsbParam1->value();
double dparam2 = m_Controls->dsbParam2->value();
double dparam3 = m_Controls->dsbParam3->value();
try{
switch (m_SelectedAction)
{
case GAUSSIAN:
{
GaussianFilterType::Pointer gaussianFilter = GaussianFilterType::New();
gaussianFilter->SetInput( itkImage );
gaussianFilter->SetVariance( param1 );
gaussianFilter->UpdateLargestPossibleRegion();
newImage = mitk::ImportItkImage(gaussianFilter->GetOutput())->Clone();
nameAddition << "_Gaussian_var_" << param1;
std::cout << "Gaussian filtering successful." << std::endl;
break;
}
case MEDIAN:
{
MedianFilterType::Pointer medianFilter = MedianFilterType::New();
MedianFilterType::InputSizeType size;
size.Fill(param1);
medianFilter->SetRadius( size );
medianFilter->SetInput(itkImage);
medianFilter->UpdateLargestPossibleRegion();
newImage = mitk::ImportItkImage(medianFilter->GetOutput())->Clone();
nameAddition << "_Median_radius_" << param1;
std::cout << "Median Filtering successful." << std::endl;
break;
}
case TOTALVARIATION:
{
if(isVectorImage > 1)
{
VectorTotalVariationFilterType::Pointer TVFilter
= VectorTotalVariationFilterType::New();
TVFilter->SetInput( itkVecImage.GetPointer() );
TVFilter->SetNumberIterations(param1);
TVFilter->SetLambda(double(param2)/1000.);
TVFilter->UpdateLargestPossibleRegion();
newImage = mitk::ImportItkImage(TVFilter->GetOutput())->Clone();
}
else
{
ImagePTypeToFloatPTypeCasterType::Pointer floatCaster = ImagePTypeToFloatPTypeCasterType::New();
floatCaster->SetInput( itkImage );
floatCaster->Update();
FloatImageType::Pointer fImage = floatCaster->GetOutput();
TotalVariationFilterType::Pointer TVFilter
= TotalVariationFilterType::New();
TVFilter->SetInput( fImage.GetPointer() );
TVFilter->SetNumberIterations(param1);
TVFilter->SetLambda(double(param2)/1000.);
TVFilter->UpdateLargestPossibleRegion();
newImage = mitk::ImportItkImage(TVFilter->GetOutput())->Clone();
}
nameAddition << "_TV_Iter_" << param1 << "_L_" << param2;
std::cout << "Total Variation Filtering successful." << std::endl;
break;
}
case DILATION:
{
BallType binaryBall;
binaryBall.SetRadius( param1 );
binaryBall.CreateStructuringElement();
DilationFilterType::Pointer dilationFilter = DilationFilterType::New();
dilationFilter->SetInput( itkImage );
dilationFilter->SetKernel( binaryBall );
dilationFilter->UpdateLargestPossibleRegion();
newImage = mitk::ImportItkImage(dilationFilter->GetOutput())->Clone();
nameAddition << "_Dilated_by_" << param1;
std::cout << "Dilation successful." << std::endl;
break;
}
case EROSION:
{
BallType binaryBall;
binaryBall.SetRadius( param1 );
binaryBall.CreateStructuringElement();
ErosionFilterType::Pointer erosionFilter = ErosionFilterType::New();
erosionFilter->SetInput( itkImage );
erosionFilter->SetKernel( binaryBall );
erosionFilter->UpdateLargestPossibleRegion();
newImage = mitk::ImportItkImage(erosionFilter->GetOutput())->Clone();
nameAddition << "_Eroded_by_" << param1;
std::cout << "Erosion successful." << std::endl;
break;
}
case OPENING:
{
BallType binaryBall;
binaryBall.SetRadius( param1 );
binaryBall.CreateStructuringElement();
OpeningFilterType::Pointer openFilter = OpeningFilterType::New();
openFilter->SetInput( itkImage );
openFilter->SetKernel( binaryBall );
openFilter->UpdateLargestPossibleRegion();
newImage = mitk::ImportItkImage(openFilter->GetOutput())->Clone();
nameAddition << "_Opened_by_" << param1;
std::cout << "Opening successful." << std::endl;
break;
}
case CLOSING:
{
BallType binaryBall;
binaryBall.SetRadius( param1 );
binaryBall.CreateStructuringElement();
ClosingFilterType::Pointer closeFilter = ClosingFilterType::New();
closeFilter->SetInput( itkImage );
closeFilter->SetKernel( binaryBall );
closeFilter->UpdateLargestPossibleRegion();
newImage = mitk::ImportItkImage(closeFilter->GetOutput())->Clone();
nameAddition << "_Closed_by_" << param1;
std::cout << "Closing successful." << std::endl;
break;
}
case GRADIENT:
{
GradientFilterType::Pointer gradientFilter = GradientFilterType::New();
gradientFilter->SetInput( itkImage );
gradientFilter->SetSigma( param1 );
gradientFilter->UpdateLargestPossibleRegion();
newImage = mitk::ImportItkImage(gradientFilter->GetOutput())->Clone();
nameAddition << "_Gradient_sigma_" << param1;
std::cout << "Gradient calculation successful." << std::endl;
break;
}
case LAPLACIAN:
{
// the laplace filter requires a float type image as input, we need to cast the itkImage
// to correct type
ImagePTypeToFloatPTypeCasterType::Pointer caster = ImagePTypeToFloatPTypeCasterType::New();
caster->SetInput( itkImage );
caster->Update();
FloatImageType::Pointer fImage = caster->GetOutput();
LaplacianFilterType::Pointer laplacianFilter = LaplacianFilterType::New();
laplacianFilter->SetInput( fImage );
laplacianFilter->UpdateLargestPossibleRegion();
newImage = mitk::ImportItkImage(laplacianFilter->GetOutput())->Clone();
nameAddition << "_Second_Derivative";
std::cout << "Laplacian filtering successful." << std::endl;
break;
}
case SOBEL:
{
// the sobel filter requires a float type image as input, we need to cast the itkImage
// to correct type
ImagePTypeToFloatPTypeCasterType::Pointer caster = ImagePTypeToFloatPTypeCasterType::New();
caster->SetInput( itkImage );
caster->Update();
FloatImageType::Pointer fImage = caster->GetOutput();
SobelFilterType::Pointer sobelFilter = SobelFilterType::New();
sobelFilter->SetInput( fImage );
sobelFilter->UpdateLargestPossibleRegion();
newImage = mitk::ImportItkImage(sobelFilter->GetOutput())->Clone();
nameAddition << "_Sobel";
std::cout << "Edge Detection successful." << std::endl;
break;
}
case THRESHOLD:
{
ThresholdFilterType::Pointer thFilter = ThresholdFilterType::New();
thFilter->SetLowerThreshold(param1 < param2 ? param1 : param2);
thFilter->SetUpperThreshold(param2 > param1 ? param2 : param1);
thFilter->SetInsideValue(1);
thFilter->SetOutsideValue(0);
thFilter->SetInput(itkImage);
thFilter->UpdateLargestPossibleRegion();
newImage = mitk::ImportItkImage(thFilter->GetOutput())->Clone();
nameAddition << "_Threshold";
std::cout << "Thresholding successful." << std::endl;
break;
}
case INVERSION:
{
InversionFilterType::Pointer invFilter = InversionFilterType::New();
mitk::ScalarType min = newImage->GetScalarValueMin();
mitk::ScalarType max = newImage->GetScalarValueMax();
invFilter->SetMaximum( max + min );
invFilter->SetInput(itkImage);
invFilter->UpdateLargestPossibleRegion();
newImage = mitk::ImportItkImage(invFilter->GetOutput())->Clone();
nameAddition << "_Inverted";
std::cout << "Image inversion successful." << std::endl;
break;
}
case DOWNSAMPLING:
{
ResampleImageFilterType::Pointer downsampler = ResampleImageFilterType::New();
downsampler->SetInput( itkImage );
NearestInterpolatorType::Pointer interpolator = NearestInterpolatorType::New();
downsampler->SetInterpolator( interpolator );
downsampler->SetDefaultPixelValue( 0 );
ResampleImageFilterType::SpacingType spacing = itkImage->GetSpacing();
spacing *= (double) param1;
downsampler->SetOutputSpacing( spacing );
downsampler->SetOutputOrigin( itkImage->GetOrigin() );
downsampler->SetOutputDirection( itkImage->GetDirection() );
ResampleImageFilterType::SizeType size = itkImage->GetLargestPossibleRegion().GetSize();
for ( int i = 0; i < 3; ++i )
{
size[i] /= param1;
}
downsampler->SetSize( size );
downsampler->UpdateLargestPossibleRegion();
newImage = mitk::ImportItkImage(downsampler->GetOutput())->Clone();
nameAddition << "_Downsampled_by_" << param1;
std::cout << "Downsampling successful." << std::endl;
break;
}
case FLIPPING:
{
FlipImageFilterType::Pointer flipper = FlipImageFilterType::New();
flipper->SetInput( itkImage );
itk::FixedArray<bool, 3> flipAxes;
for(int i=0; i<3; ++i)
{
if(i == param1)
{
flipAxes[i] = true;
}
else
{
flipAxes[i] = false;
}
}
flipper->SetFlipAxes(flipAxes);
flipper->UpdateLargestPossibleRegion();
newImage = mitk::ImportItkImage(flipper->GetOutput())->Clone();
std::cout << "Image flipping successful." << std::endl;
break;
}
case RESAMPLING:
{
std::string selectedInterpolator;
ResampleImageFilterType::Pointer resampler = ResampleImageFilterType::New();
switch (m_SelectedInterpolation)
{
case LINEAR:
{
LinearInterpolatorType::Pointer interpolator = LinearInterpolatorType::New();
resampler->SetInterpolator(interpolator);
selectedInterpolator = "Linear";
break;
}
case NEAREST:
{
NearestInterpolatorType::Pointer interpolator = NearestInterpolatorType::New();
resampler->SetInterpolator(interpolator);
selectedInterpolator = "Nearest";
break;
}
default:
{
LinearInterpolatorType::Pointer interpolator = LinearInterpolatorType::New();
resampler->SetInterpolator(interpolator);
selectedInterpolator = "Linear";
break;
}
}
resampler->SetInput( itkImage );
resampler->SetOutputOrigin( itkImage->GetOrigin() );
ImageType::SizeType input_size = itkImage->GetLargestPossibleRegion().GetSize();
ImageType::SpacingType input_spacing = itkImage->GetSpacing();
ImageType::SizeType output_size;
ImageType::SpacingType output_spacing;
output_size[0] = input_size[0] * (input_spacing[0] / dparam1);
output_size[1] = input_size[1] * (input_spacing[1] / dparam2);
output_size[2] = input_size[2] * (input_spacing[2] / dparam3);
output_spacing [0] = dparam1;
output_spacing [1] = dparam2;
output_spacing [2] = dparam3;
resampler->SetSize( output_size );
resampler->SetOutputSpacing( output_spacing );
resampler->SetOutputDirection( itkImage->GetDirection() );
resampler->UpdateLargestPossibleRegion();
ImageType::Pointer resampledImage = resampler->GetOutput();
newImage = mitk::ImportItkImage( resampledImage );
nameAddition << "_Resampled_" << selectedInterpolator;
std::cout << "Resampling successful." << std::endl;
break;
}
case RESCALE:
{
FloatImageType::Pointer floatImage = FloatImageType::New();
CastToItkImage( newImage, floatImage );
itk::RescaleIntensityImageFilter<FloatImageType,FloatImageType>::Pointer filter = itk::RescaleIntensityImageFilter<FloatImageType,FloatImageType>::New();
filter->SetInput(0, floatImage);
filter->SetOutputMinimum(dparam1);
filter->SetOutputMaximum(dparam2);
filter->Update();
floatImage = filter->GetOutput();
newImage = mitk::Image::New();
newImage->InitializeByItk(floatImage.GetPointer());
newImage->SetVolume(floatImage->GetBufferPointer());
nameAddition << "_Rescaled";
std::cout << "Rescaling successful." << std::endl;
break;
}
default:
this->BusyCursorOff();
return;
}
}
catch (...)
{
this->BusyCursorOff();
QMessageBox::warning(NULL, "Warning", "Problem when applying filter operation. Check your input...");
return;
}
newImage->DisconnectPipeline();
// adjust level/window to new image
mitk::LevelWindow levelwindow;
levelwindow.SetAuto( newImage );
mitk::LevelWindowProperty::Pointer levWinProp = mitk::LevelWindowProperty::New();
levWinProp->SetLevelWindow( levelwindow );
// compose new image name
std::string name = m_SelectedImageNode->GetNode()->GetName();
if (name.find(".pic.gz") == name.size() -7 )
{
name = name.substr(0,name.size() -7);
}
name.append( nameAddition.str() );
// create final result MITK data storage node
mitk::DataNode::Pointer result = mitk::DataNode::New();
result->SetProperty( "levelwindow", levWinProp );
result->SetProperty( "name", mitk::StringProperty::New( name.c_str() ) );
result->SetData( newImage );
// for vector images, a different mapper is needed
if(isVectorImage > 1)
{
mitk::VectorImageMapper2D::Pointer mapper =
mitk::VectorImageMapper2D::New();
result->SetMapper(1,mapper);
}
// reset GUI to ease further processing
// this->ResetOneImageOpPanel();
// add new image to data storage and set as active to ease further processing
GetDefaultDataStorage()->Add( result, m_SelectedImageNode->GetNode() );
if ( m_Controls->cbHideOrig->isChecked() == true )
m_SelectedImageNode->GetNode()->SetProperty( "visible", mitk::BoolProperty::New(false) );
// TODO!! m_Controls->m_ImageSelector1->SetSelectedNode(result);
// show the results
mitk::RenderingManager::GetInstance()->RequestUpdateAll();
this->BusyCursorOff();
}
void mitk::DiffusionImageNrrdWriterService::Write()
{
mitk::Image::ConstPointer input = dynamic_cast<const mitk::Image *>(this->GetInput());
VectorImageType::Pointer itkImg;
mitk::CastToItkImage(input,itkImg);
if (input.IsNull())
{
MITK_ERROR <<"Sorry, input to DiffusionImageNrrdWriterService is NULL!";
return;
}
if ( this->GetOutputLocation().empty() )
{
MITK_ERROR << "Sorry, filename has not been set!";
return ;
}
mitk::LocaleSwitch localeSwitch("C");
char keybuffer[512];
char valbuffer[512];
//itk::MetaDataDictionary dic = input->GetImage()->GetMetaDataDictionary();
vnl_matrix_fixed<double,3,3> measurementFrame = mitk::DiffusionPropertyHelper::GetMeasurementFrame(input);
if (measurementFrame(0,0) || measurementFrame(0,1) || measurementFrame(0,2) ||
measurementFrame(1,0) || measurementFrame(1,1) || measurementFrame(1,2) ||
measurementFrame(2,0) || measurementFrame(2,1) || measurementFrame(2,2))
{
sprintf( valbuffer, " (%lf,%lf,%lf) (%lf,%lf,%lf) (%lf,%lf,%lf)", measurementFrame(0,0), measurementFrame(0,1), measurementFrame(0,2), measurementFrame(1,0), measurementFrame(1,1), measurementFrame(1,2), measurementFrame(2,0), measurementFrame(2,1), measurementFrame(2,2));
itk::EncapsulateMetaData<std::string>(itkImg->GetMetaDataDictionary(),std::string("measurement frame"),std::string(valbuffer));
}
sprintf( valbuffer, "DWMRI");
itk::EncapsulateMetaData<std::string>(itkImg->GetMetaDataDictionary(),std::string("modality"),std::string(valbuffer));
if(mitk::DiffusionPropertyHelper::GetGradientContainer(input)->Size())
{
sprintf( valbuffer, "%1f", mitk::DiffusionPropertyHelper::GetReferenceBValue(input) );
itk::EncapsulateMetaData<std::string>(itkImg->GetMetaDataDictionary(),std::string("DWMRI_b-value"),std::string(valbuffer));
}
for(unsigned int i=0; i<mitk::DiffusionPropertyHelper::GetGradientContainer(input)->Size(); i++)
{
sprintf( keybuffer, "DWMRI_gradient_%04d", i );
/*if(itk::ExposeMetaData<std::string>(input->GetMetaDataDictionary(),
std::string(keybuffer),tmp))
continue;*/
sprintf( valbuffer, "%1f %1f %1f", mitk::DiffusionPropertyHelper::GetGradientContainer(input)->ElementAt(i).get(0),
mitk::DiffusionPropertyHelper::GetGradientContainer(input)->ElementAt(i).get(1), mitk::DiffusionPropertyHelper::GetGradientContainer(input)->ElementAt(i).get(2));
itk::EncapsulateMetaData<std::string>(itkImg->GetMetaDataDictionary(),std::string(keybuffer),std::string(valbuffer));
}
typedef itk::VectorImage<short,3> ImageType;
std::string ext = this->GetMimeType()->GetExtension(this->GetOutputLocation());
ext = itksys::SystemTools::LowerCase(ext);
// default extension is .dwi
if( ext == "")
{
ext = ".nrrd";
this->SetOutputLocation(this->GetOutputLocation() + ext);
}
if (ext == ".hdwi" || ext == ".nrrd" || ext == ".dwi")
{
MITK_INFO << "Extension " << ext;
itk::NrrdImageIO::Pointer io = itk::NrrdImageIO::New();
//io->SetNrrdVectorType( nrrdKindList );
io->SetFileType( itk::ImageIOBase::Binary );
io->UseCompressionOn();
typedef itk::ImageFileWriter<ImageType> WriterType;
WriterType::Pointer nrrdWriter = WriterType::New();
nrrdWriter->UseInputMetaDataDictionaryOn();
nrrdWriter->SetInput( itkImg );
nrrdWriter->SetImageIO(io);
nrrdWriter->SetFileName(this->GetOutputLocation());
nrrdWriter->UseCompressionOn();
nrrdWriter->SetImageIO(io);
try
{
nrrdWriter->Update();
}
catch (itk::ExceptionObject e)
{
std::cout << e << std::endl;
throw;
}
}
}
mitk::TbssImage::Pointer mitk::TbssImporter::ImportMeta()
{
mitk::TbssImage::Pointer tbssImg = mitk::TbssImage::New();
m_Data = DataImageType::New();
std::vector< std::pair<mitk::TbssImage::MetaDataFunction, int> > metaInfo;
// Gradient images are vector images, so they will add more dimensions to the vector
int vecLength = m_MetaFiles.size();
//Check if there is a gradient image
for(int i=0; i < m_MetaFiles.size(); i++)
{
std::pair<std::string, std::string> p = m_MetaFiles.at(i);
if(RetrieveTbssFunction(p.first) == mitk::TbssImage::GRADIENT_X)
{
vecLength += 2;
}
}
int currIndex = 0;
for(int i=0; i < m_MetaFiles.size(); i++)
{
std::pair<std::string, std::string> p = m_MetaFiles.at(i);
std::string function = p.first;
std::string file = p.second;
// Add to metainfo to give the tbss image a function-index pair
std::pair<mitk::TbssImage::MetaDataFunction, int> pair;
pair.first = RetrieveTbssFunction(function);
pair.second = i;
if(pair.first == mitk::TbssImage::GRADIENT_X)
{
metaInfo.push_back(std::pair<mitk::TbssImage::MetaDataFunction, int>(mitk::TbssImage::GRADIENT_X, i));
metaInfo.push_back(std::pair<mitk::TbssImage::MetaDataFunction, int>(mitk::TbssImage::GRADIENT_Y, i+1));
metaInfo.push_back(std::pair<mitk::TbssImage::MetaDataFunction, int>(mitk::TbssImage::GRADIENT_Z, i+2));
VectorReaderType::Pointer fileReader = VectorReaderType::New();
fileReader->SetFileName(file);
itk::NrrdImageIO::Pointer io = itk::NrrdImageIO::New();
fileReader->SetImageIO(io);
fileReader->Update();
VectorImageType::Pointer img = fileReader->GetOutput();
VectorImageType::SizeType size = img->GetLargestPossibleRegion().GetSize();
if(i==0)
{
// First image in serie. Properties should be used to initialize m_Data
m_Data->SetRegions(img->GetLargestPossibleRegion().GetSize());
m_Data->SetSpacing(img->GetSpacing());
m_Data->SetOrigin(img->GetOrigin());
m_Data->SetDirection(img->GetDirection());
m_Data->SetVectorLength(vecLength);
m_Data->Allocate();
}
/* Dealing with a gradient image, so the size of the vector need to be increased by 2
since this image contains 3 volumes. Old data should not be deleted*/
for(int x=0; x<size[0]; x++)
{
for(int y=0; y<size[1]; y++)
{
for(int z=0; z<size[2]; z++)
{
itk::Index<3> ix;
ix[0] = x;
ix[1] = y;
ix[2] = z;
itk::VariableLengthVector<int> vec = img->GetPixel(ix);
itk::VariableLengthVector<float> pixel = m_Data->GetPixel(ix);
for(int j=0; j<vec.Size(); j++)
{
int pos = currIndex+j;
float f = vec.GetElement(j);
pixel.SetElement(pos, f);
}
m_Data->SetPixel(ix, pixel);
}
}
}
currIndex += img->GetVectorLength();
tbssImg->SetContainsGradient(true);
// Read vector image and add to m_Data
}
else {
metaInfo.push_back(pair);
FileReaderType3D::Pointer fileReader = FileReaderType3D::New();
fileReader->SetFileName(file);
fileReader->Update();
FloatImage3DType::Pointer img = fileReader->GetOutput();
FloatImage3DType::SizeType size = img->GetLargestPossibleRegion().GetSize();
if(i==0)
{
// First image in serie. Properties should be used to initialize m_Data
m_Data->SetRegions(img->GetLargestPossibleRegion().GetSize());
m_Data->SetSpacing(img->GetSpacing());
m_Data->SetOrigin(img->GetOrigin());
m_Data->SetDirection(img->GetDirection());
m_Data->SetVectorLength(vecLength);
m_Data->Allocate();
}
for(int x=0; x<size[0]; x++)
{
for(int y=0; y<size[1]; y++)
{
for(int z=0; z<size[2]; z++)
{
itk::Index<3> ix;
ix[0] = x;
ix[1] = y;
ix[2] = z;
float f = img->GetPixel(ix);
itk::VariableLengthVector<float> pixel = m_Data->GetPixel(ix);
pixel.SetElement(currIndex, f);
m_Data->SetPixel(ix, pixel);
}
}
}
}
if(pair.first == mitk::TbssImage::MEAN_FA_SKELETON)
{
tbssImg->SetContainsMeanSkeleton(true);
}
else if(pair.first == mitk::TbssImage::MEAN_FA_SKELETON_MASK)
{
tbssImg->SetContainsSkeletonMask(true);
}
else if(pair.first == mitk::TbssImage::DISTANCE_MAP)
{
tbssImg->SetContainsDistanceMap(true);
}
currIndex++;
}
tbssImg->SetIsMeta(true);
tbssImg->SetImage(m_Data);
tbssImg->SetMetaInfo(metaInfo);
tbssImg->InitializeFromVectorImage();
return tbssImg;
}
bool itkDataTensorImageReaderBase::read (const QString &path)
{
if (this->io.IsNull())
return false;
this->readInformation ( path );
qDebug() << "Read with: " << this->identifier();
if (medAbstractData *medData = dynamic_cast<medAbstractData*>(this->data()) ) {
if (medData->identifier()=="itkDataTensorImageDouble3") {
if (this->io->GetNumberOfComponents()==6) {
typedef itk::Tensor<double, 3> TensorType;
typedef itk::Image<TensorType, 3> TensorImageType;
typedef itk::Vector<double, 6> VectorType;
typedef itk::Image<VectorType, 3> VectorImageType;
typedef itk::ImageFileReader<VectorImageType> ReaderType;
VectorImageType::Pointer image = 0;
{
ReaderType::Pointer reader = ReaderType::New();
reader->SetImageIO (this->io);
reader->SetFileName ( path.toAscii().constData() );
try {
reader->Update();
}
catch (itk::ExceptionObject &e) {
qDebug() << e.GetDescription();
return false;
}
image = reader->GetOutput();
}
TensorImageType::Pointer tensors = TensorImageType::New();
TensorImageType::RegionType region = image->GetLargestPossibleRegion();
tensors->SetRegions (region);
tensors->SetSpacing (image->GetSpacing());
tensors->SetOrigin (image->GetOrigin());
tensors->SetDirection (image->GetDirection());
try {
tensors->Allocate();
}
catch (itk::ExceptionObject &e) {
qDebug() << e.GetDescription();
return false;
}
itk::ImageRegionConstIteratorWithIndex<VectorImageType> itIn (image,
image->GetLargestPossibleRegion());
itk::ImageRegionIteratorWithIndex<TensorImageType> itOut(tensors,
tensors->GetLargestPossibleRegion());
while(!itOut.IsAtEnd()) {
VectorType vec = itIn.Get();
TensorType tensor;
for( unsigned int j=0; j<6; j++) {
tensor[j] = vec[j];
}
itOut.Set (tensor);
++itOut;
++itIn;
}
medData->setData (tensors);
}
else if (this->io->GetNumberOfComponents()==9) {
typedef itk::Tensor<double, 3> TensorType;
typedef itk::Image<TensorType, 3> TensorImageType;
typedef itk::Vector<double, 9> VectorType;
typedef itk::Image<VectorType, 3> VectorImageType;
typedef itk::ImageFileReader<VectorImageType> ReaderType;
VectorImageType::Pointer image = 0;
{
ReaderType::Pointer reader = ReaderType::New();
reader->SetImageIO (this->io);
reader->SetFileName ( path.toAscii().constData() );
try {
reader->Update();
}
catch (itk::ExceptionObject &e) {
qDebug() << e.GetDescription();
return false;
}
image = reader->GetOutput();
}
TensorImageType::Pointer tensors = TensorImageType::New();
TensorImageType::RegionType region = image->GetLargestPossibleRegion();
tensors->SetRegions (region);
tensors->SetSpacing (image->GetSpacing());
tensors->SetOrigin (image->GetOrigin());
tensors->SetDirection (image->GetDirection());
try {
tensors->Allocate();
}
catch (itk::ExceptionObject &e) {
qDebug() << e.GetDescription();
return false;
}
itk::ImageRegionConstIteratorWithIndex<VectorImageType> itIn (image,
image->GetLargestPossibleRegion());
itk::ImageRegionIteratorWithIndex<TensorImageType> itOut(tensors,
tensors->GetLargestPossibleRegion());
while(!itOut.IsAtEnd()) {
VectorType vec = itIn.Get();
TensorType tensor;
for (unsigned int i=0; i<3; i++)
for (unsigned int j=0; j<3; j++)
tensor.SetComponent (i, j, vec[i*3+j]);
itOut.Set (tensor);
++itOut;
++itIn;
}
medData->setData (tensors);
}
else {
qDebug() << "Unsupported number of components";
return false;
}
}
else if (medData->identifier()=="itkDataTensorImageFloat3") {
if (this->io->GetNumberOfComponents()==6) {
typedef itk::Tensor<float, 3> TensorType;
typedef itk::Image<TensorType, 3> TensorImageType;
typedef itk::Vector<float, 6> VectorType;
typedef itk::Image<VectorType, 3> VectorImageType;
typedef itk::ImageFileReader<VectorImageType> ReaderType;
VectorImageType::Pointer image = 0;
{
ReaderType::Pointer reader = ReaderType::New();
reader->SetImageIO (this->io);
reader->SetFileName ( path.toAscii().constData() );
try {
reader->Update();
}
catch (itk::ExceptionObject &e) {
qDebug() << e.GetDescription();
return false;
}
image = reader->GetOutput();
}
TensorImageType::Pointer tensors = TensorImageType::New();
TensorImageType::RegionType region = image->GetLargestPossibleRegion();
tensors->SetRegions (region);
tensors->SetSpacing (image->GetSpacing());
tensors->SetOrigin (image->GetOrigin());
tensors->SetDirection (image->GetDirection());
try {
tensors->Allocate();
}
catch (itk::ExceptionObject &e) {
qDebug() << e.GetDescription();
return false;
}
itk::ImageRegionConstIteratorWithIndex<VectorImageType> itIn (image,
image->GetLargestPossibleRegion());
itk::ImageRegionIteratorWithIndex<TensorImageType> itOut(tensors,
tensors->GetLargestPossibleRegion());
while(!itOut.IsAtEnd()) {
VectorType vec = itIn.Get();
TensorType tensor;
for( unsigned int j=0; j<6; j++) {
tensor[j] = vec[j];
}
itOut.Set (tensor);
++itOut;
++itIn;
}
medData->setData (tensors);
}
else if (this->io->GetNumberOfComponents()==9) {
typedef itk::Tensor<float, 3> TensorType;
typedef itk::Image<TensorType, 3> TensorImageType;
typedef itk::Vector<float, 9> VectorType;
typedef itk::Image<VectorType, 3> VectorImageType;
typedef itk::ImageFileReader<VectorImageType> ReaderType;
VectorImageType::Pointer image = 0;
{
ReaderType::Pointer reader = ReaderType::New();
reader->SetImageIO (this->io);
reader->SetFileName ( path.toAscii().constData() );
try {
reader->Update();
}
catch (itk::ExceptionObject &e) {
qDebug() << e.GetDescription();
return false;
}
image = reader->GetOutput();
}
TensorImageType::Pointer tensors = TensorImageType::New();
TensorImageType::RegionType region = image->GetLargestPossibleRegion();
tensors->SetRegions (region);
tensors->SetSpacing (image->GetSpacing());
tensors->SetOrigin (image->GetOrigin());
tensors->SetDirection (image->GetDirection());
try {
tensors->Allocate();
}
catch (itk::ExceptionObject &e) {
qDebug() << e.GetDescription();
return false;
}
itk::ImageRegionConstIteratorWithIndex<VectorImageType> itIn (image,
image->GetLargestPossibleRegion());
itk::ImageRegionIteratorWithIndex<TensorImageType> itOut(tensors,
tensors->GetLargestPossibleRegion());
while(!itOut.IsAtEnd()) {
VectorType vec = itIn.Get();
TensorType tensor;
for (unsigned int i=0; i<3; i++)
for (unsigned int j=0; j<3; j++)
tensor.SetComponent (i, j, vec[i*3+j]);
itOut.Set (tensor);
++itOut;
++itIn;
}
medData->setData (tensors);
}
else {
qDebug() << "Unsupported number of components";
return false;
}
}
else {
qDebug() << "Unsupported data type";
return false;
}
}
else {
qDebug() << "No data set or could not create one";
return false;
}
return true;
}
bool TestExtractChannel()
{
// VectorImage
{
typedef itk::VectorImage<float, 2> VectorImageType;
VectorImageType::Pointer image = VectorImageType::New();
itk::Index<2> corner = {{0,0}};
itk::Size<2> size = {{100,100}};
itk::ImageRegion<2> region(corner, size);
image->SetRegions(region);
image->SetNumberOfComponentsPerPixel(2);
image->Allocate();
typedef itk::Image<float, 2> FloatScalarImageType;
FloatScalarImageType::Pointer floatScalarImage = FloatScalarImageType::New();
ITKHelpers::ExtractChannel(image.GetPointer(), 0, floatScalarImage.GetPointer());
typedef itk::Image<unsigned char, 2> UnsignedCharScalarImageType;
UnsignedCharScalarImageType::Pointer unsignedCharScalarImage = UnsignedCharScalarImageType::New();
ITKHelpers::ExtractChannel(image.GetPointer(), 0, unsignedCharScalarImage.GetPointer());
}
// VectorImage different output type
{
typedef itk::VectorImage<float, 2> VectorImageType;
VectorImageType::Pointer image = VectorImageType::New();
itk::Index<2> corner = {{0,0}};
itk::Size<2> size = {{100,100}};
itk::ImageRegion<2> region(corner, size);
image->SetRegions(region);
image->SetNumberOfComponentsPerPixel(2);
image->Allocate();
typedef itk::Image<unsigned char, 2> UnsignedCharScalarImageType;
UnsignedCharScalarImageType::Pointer unsignedCharScalarImage = UnsignedCharScalarImageType::New();
ITKHelpers::ExtractChannel(image.GetPointer(), 0, unsignedCharScalarImage.GetPointer());
}
// Scalar Image
{
typedef itk::Image<float, 2> VectorImageType;
VectorImageType::Pointer image = VectorImageType::New();
itk::Index<2> corner = {{0,0}};
itk::Size<2> size = {{100,100}};
itk::ImageRegion<2> region(corner, size);
image->SetRegions(region);
image->Allocate();
typedef itk::Image<float, 2> FloatScalarImageType;
FloatScalarImageType::Pointer floatScalarImage = FloatScalarImageType::New();
ITKHelpers::ExtractChannel(image.GetPointer(), 0, floatScalarImage.GetPointer());
typedef itk::Image<unsigned char, 2> UnsignedCharScalarImageType;
UnsignedCharScalarImageType::Pointer unsignedCharScalarImage = UnsignedCharScalarImageType::New();
ITKHelpers::ExtractChannel(image.GetPointer(), 0, unsignedCharScalarImage.GetPointer());
}
// Image<CovariantVector>
{
typedef itk::Image<itk::CovariantVector<float, 3>, 2> VectorImageType;
VectorImageType::Pointer image = VectorImageType::New();
itk::Index<2> corner = {{0,0}};
itk::Size<2> size = {{100,100}};
itk::ImageRegion<2> region(corner, size);
image->SetRegions(region);
image->Allocate();
typedef itk::Image<float, 2> FloatScalarImageType;
FloatScalarImageType::Pointer floatScalarImage = FloatScalarImageType::New();
ITKHelpers::ExtractChannel(image.GetPointer(), 0, floatScalarImage.GetPointer());
}
// Image<Vector>
{
typedef itk::Image<itk::Vector<float, 3>, 2> VectorImageType;
VectorImageType::Pointer image = VectorImageType::New();
itk::Index<2> corner = {{0,0}};
itk::Size<2> size = {{100,100}};
itk::ImageRegion<2> region(corner, size);
image->SetRegions(region);
image->Allocate();
typedef itk::Image<float, 2> FloatScalarImageType;
FloatScalarImageType::Pointer floatScalarImage = FloatScalarImageType::New();
ITKHelpers::ExtractChannel(image.GetPointer(), 0, floatScalarImage.GetPointer());
}
return true;
}
QVector<double> PerfusionMapCalculatorThread::deconvolve(QVector<double> tissue)
{
QVector<double> residuefunc(tissue.size());
int i;
//std::cout<<"?"<<std::endl;
/*for(i=0;i<tissue.size();i++)
{
std::cout<<tissue[i]<<" "<<std::flush;
}*/
//std::cout<<"?"<<std::endl;
typedef std::complex<double> complexd;
complexd num1, num2, num3;
// //Usant fftw
// fftw_complex* in;
// fftw_complex* out;
//
// in = new fftw_complex[tissue.size()];
// out = new fftw_complex[tissue.size()];
//
// fftw_plan pf, pb;
//
// pf = fftw_plan_dft_1d(tissue.size(), in, out, FFTW_FORWARD, FFTW_ESTIMATE);
// pb = fftw_plan_dft_1d(tissue.size(), in, out, FFTW_BACKWARD, FFTW_ESTIMATE);
//
// int i;
// for(i=0;i<tissue.size();i++)
// {
// in[i][0]=tissue[i];
// in[i][1]=0.0;
// }
//
// fftw_execute(pf);
//
// for(i=0;i<tissue.size();i++)
// {
// num1=complexd(fftaifreal[i],fftaifimag[i]);
// num2=complexd(out[i][0],out[i][1]);
//
// if((reg_fact > 1e-6) || ((fabs(num1.real()) + fabs(num1.imag()))> 1e-6))
// {
// num3 = num2* (conj(num1) / (num1*conj(num1) + reg_fact*pow(-1,reg_exp)*pow(omega[i],2*reg_exp)));
// in[i][0] = num3.real();
// in[i][1] = num3.imag();
// }
// else
// {
// in[i][0] = 0.0;
// in[i][1] = 0.0;
// }
// }
// fftw_execute(pb);
// for(i=0;i<tissue.size();i++)
// {
// residuefunc[i]=out[i][0]/tissue.size();
// }
// fftw_destroy_plan(pf);
// fftw_destroy_plan(pb);
// free(in);
// free(out);
//Usant itk's
//std::cout<<"Usant itk's"<<std::endl;
typedef itk::Image< double, 1 > VectorImageType;
VectorImageType::RegionType region;
VectorImageType::IndexType start;
start[0]=0;
VectorImageType::SizeType size;
size[0] = m_sizet; //les mostres temporals
region.SetSize(size);
region.SetIndex(start);
//std::cout<<"&"<<std::endl;
VectorImageType::Pointer tissueImage = VectorImageType::New();
tissueImage->SetRegions(region);
try
{
tissueImage->Allocate();
}
catch(itk::ExceptionObject & excp)
{
std::cerr << "Error: " << std::endl;
std::cerr << excp << std::endl;
return residuefunc;
}
//std::cout<<"$"<<std::endl;
typedef itk::ImageRegionIterator<VectorImageType> VectorIteratorType;
VectorIteratorType tissueIter(tissueImage, tissueImage->GetLargestPossibleRegion());
//std::cout<<"@"<<tissueImage->GetLargestPossibleRegion().GetSize()[0]<<std::endl;
typedef itk::VnlFFTRealToComplexConjugateImageFilter< double, 1 > FFTFilterType;
FFTFilterType::Pointer fftFilter = FFTFilterType::New();
//std::cout<<"#"<<std::endl;
tissueIter.GoToBegin();
//std::cout<<"%"<<std::endl;
for(i=0;i<tissue.size();i++)
{
tissueIter.Set(tissue[i]);
++tissueIter;
}
fftFilter->SetInput(tissueImage);
try
{
fftFilter->Update();
}
catch(itk::ExceptionObject & excp)
{
std::cerr << "Error: " << std::endl;
std::cerr << excp << std::endl;
return residuefunc;
}
typedef FFTFilterType::OutputImageType ComplexImageType;
ComplexImageType::Pointer residualFFTImage = ComplexImageType::New();
residualFFTImage->SetRegions(region);
residualFFTImage->Allocate();
typedef itk::ImageRegionIterator<ComplexImageType> ComplexIteratorType;
ComplexIteratorType fftTissueIter(fftFilter->GetOutput(), fftFilter->GetOutput()->GetLargestPossibleRegion());
fftTissueIter.GoToBegin();
ComplexIteratorType fftResidualIter(residualFFTImage, residualFFTImage->GetLargestPossibleRegion());
fftResidualIter.GoToBegin();
//std::cout<<"!"<<fftFilter->GetOutput()->GetLargestPossibleRegion().GetSize()[0]<<std::endl;
for(i=0;i<tissue.size();i++)
{
num1=complexd(fftaifreal[i],fftaifimag[i]);
num2=complexd(fftTissueIter.Get().real(),fftTissueIter.Get().imag());
if((reg_fact > 1e-6) || ((fabs(num1.real()) + fabs(num1.imag()))> 1e-6))
{
num3 = num2* (conj(num1) / (num1*conj(num1) + reg_fact*pow(-1,reg_exp)*pow(omega[i],2*reg_exp)));
fftResidualIter.Set(num3);
}
else
{
num3 = complexd(0.0, 0.0);
fftResidualIter.Set(num3);
}
++fftTissueIter;
++fftResidualIter;
}
typedef itk::VnlFFTComplexConjugateToRealImageFilter< double, 1 > IFFTFilterType;
IFFTFilterType::Pointer fftInverseFilter = IFFTFilterType::New();
fftInverseFilter->SetInput(residualFFTImage);
try
{
fftInverseFilter->Update();
}
catch(itk::ExceptionObject & excp)
{
std::cerr << "Error: " << std::endl;
std::cerr << excp << std::endl;
return residuefunc;
}
//std::cout<<"*"<<fftInverseFilter->GetOutput()->GetLargestPossibleRegion().GetSize()[0]<<std::endl;
VectorIteratorType residualIter(fftInverseFilter->GetOutput(), fftInverseFilter->GetOutput()->GetLargestPossibleRegion());
residualIter.GoToBegin();
for(i=0;i<residuefunc.size();i++)
{
//if(residuefunc[i]!=residualIter.Get()) std::cout<<"Resultat residuefunc diferent: "<<residuefunc[i]<<" ," <<residualIter.Get()/tissue.size()<<std::endl;
residuefunc[i]=residualIter.Get();
++residualIter;
}
for(i=0;i<residuefunc.size();i++)
{
//std::cout<<residuefunc[i]<<" "<<std::flush;
}
//std::cout<<"?"<<std::endl;
return residuefunc;
}