mitk::Image::Pointer mitk::CompressedImageContainer::GetImage()
{
if (m_ByteBuffers.empty())
return nullptr;
// uncompress image data, create an Image
Image::Pointer image = Image::New();
unsigned int dims[20]; // more than 20 dimensions and bang
for (unsigned int dim = 0; dim < m_ImageDimension; ++dim)
dims[dim] = m_ImageDimensions[dim];
image->Initialize(*m_PixelType, m_ImageDimension, dims); // this IS needed, right ?? But it does allocate memory ->
// does create one big lump of memory (also in windows)
unsigned int timeStep(0);
for (auto iter = m_ByteBuffers.begin(); iter != m_ByteBuffers.end(); ++iter, ++timeStep)
{
ImageReadAccessor imgAcc(image, image->GetVolumeData(timeStep));
auto *dest((unsigned char *)imgAcc.GetData());
::uLongf destLen(m_OneTimeStepImageSizeInBytes);
::Bytef *source(iter->first);
::uLongf sourceLen(iter->second);
int zlibRetVal = ::uncompress(dest, &destLen, source, sourceLen);
if (itk::Object::GetDebug())
{
if (zlibRetVal == Z_OK)
{
MITK_INFO << "Success, destLen now " << destLen << " bytes" << std::endl;
}
else
{
switch (zlibRetVal)
{
case Z_DATA_ERROR:
MITK_ERROR << "compressed data corrupted" << std::endl;
break;
case Z_MEM_ERROR:
MITK_ERROR << "not enough memory" << std::endl;
break;
case Z_BUF_ERROR:
MITK_ERROR << "output buffer too small" << std::endl;
break;
default:
MITK_ERROR << "other, unspecified error" << std::endl;
break;
}
}
}
}
image->SetGeometry(m_ImageGeometry);
image->Modified();
return image;
}
mitk::Image::Pointer mitk::VolumeDataVtkMapper3D::GetMask()
{
if (this->m_Mask)
{
Image::Pointer mask = Image::New();
mask->Initialize(this->m_Mask);
mask->SetImportVolume(this->m_Mask->GetScalarPointer(), 0, 0, Image::ReferenceMemory);
mask->SetGeometry(this->GetInput()->GetGeometry());
return mask;
}
return 0;
}
void mitk::ImageTimeSelector::GenerateOutputInformation()
{
Image::ConstPointer input = this->GetInput();
Image::Pointer output = this->GetOutput();
itkDebugMacro(<<"GenerateOutputInformation()");
int dim=(input->GetDimension()<3?input->GetDimension():3);
output->Initialize(input->GetPixelType(), dim, input->GetDimensions());
if( (unsigned int) m_TimeNr >= input->GetDimension(3) )
{
m_TimeNr = input->GetDimension(3)-1;
}
// initialize geometry
output->SetGeometry(dynamic_cast<Geometry3D*>(input->GetSlicedGeometry(m_TimeNr)->Clone().GetPointer()));
output->SetPropertyList(input->GetPropertyList()->Clone());
}
mitk::DataNode::Pointer mitk::Tool::CreateEmptySegmentationNode( Image* original, const std::string& organName, const mitk::Color& color )
{
// we NEED a reference image for size etc.
if (!original) return NULL;
// actually create a new empty segmentation
PixelType pixelType(mitk::MakeScalarPixelType<DefaultSegmentationDataType>() );
Image::Pointer segmentation = Image::New();
if (original->GetDimension() == 2)
{
const unsigned int dimensions[] = { original->GetDimension(0), original->GetDimension(1), 1 };
segmentation->Initialize(pixelType, 3, dimensions);
}
else
{
segmentation->Initialize(pixelType, original->GetDimension(), original->GetDimensions());
}
unsigned int byteSize = sizeof(DefaultSegmentationDataType);
for (unsigned int dim = 0; dim < segmentation->GetDimension(); ++dim)
{
byteSize *= segmentation->GetDimension(dim);
}
memset( segmentation->GetData(), 0, byteSize );
if (original->GetTimeSlicedGeometry() )
{
AffineGeometryFrame3D::Pointer originalGeometryAGF = original->GetTimeSlicedGeometry()->Clone();
TimeSlicedGeometry::Pointer originalGeometry = dynamic_cast<TimeSlicedGeometry*>( originalGeometryAGF.GetPointer() );
segmentation->SetGeometry( originalGeometry );
}
else
{
Tool::ErrorMessage("Original image does not have a 'Time sliced geometry'! Cannot create a segmentation.");
return NULL;
}
return CreateSegmentationNode( segmentation, organName, color );
}
bool ShowSegmentationAsSmoothedSurface::ThreadedUpdateFunction()
{
Image::Pointer image;
GetPointerParameter("Input", image);
float smoothing;
GetParameter("Smoothing", smoothing);
float decimation;
GetParameter("Decimation", decimation);
float closing;
GetParameter("Closing", closing);
int timeNr = 0;
GetParameter("TimeNr", timeNr);
if (image->GetDimension() == 4)
MITK_INFO << "CREATING SMOOTHED POLYGON MODEL (t = " << timeNr << ')';
else
MITK_INFO << "CREATING SMOOTHED POLYGON MODEL";
MITK_INFO << " Smoothing = " << smoothing;
MITK_INFO << " Decimation = " << decimation;
MITK_INFO << " Closing = " << closing;
Geometry3D::Pointer geometry = dynamic_cast<Geometry3D *>(image->GetGeometry()->Clone().GetPointer());
// Make ITK image out of MITK image
typedef itk::Image<unsigned char, 3> CharImageType;
typedef itk::Image<unsigned short, 3> ShortImageType;
typedef itk::Image<float, 3> FloatImageType;
if (image->GetDimension() == 4)
{
ImageTimeSelector::Pointer imageTimeSelector = ImageTimeSelector::New();
imageTimeSelector->SetInput(image);
imageTimeSelector->SetTimeNr(timeNr);
imageTimeSelector->UpdateLargestPossibleRegion();
image = imageTimeSelector->GetOutput(0);
}
ImageToItk<CharImageType>::Pointer imageToItkFilter = ImageToItk<CharImageType>::New();
try
{
imageToItkFilter->SetInput(image);
}
catch (const itk::ExceptionObject &e)
{
// Most probably the input image type is wrong. Binary images are expected to be
// >unsigned< char images.
MITK_ERROR << e.GetDescription() << endl;
return false;
}
imageToItkFilter->Update();
CharImageType::Pointer itkImage = imageToItkFilter->GetOutput();
// Get bounding box and relabel
MITK_INFO << "Extracting VOI...";
int imageLabel = 1;
bool roiFound = false;
CharImageType::IndexType minIndex;
minIndex.Fill(numeric_limits<CharImageType::IndexValueType>::max());
CharImageType::IndexType maxIndex;
maxIndex.Fill(numeric_limits<CharImageType::IndexValueType>::min());
itk::ImageRegionIteratorWithIndex<CharImageType> iter(itkImage, itkImage->GetLargestPossibleRegion());
for (iter.GoToBegin(); !iter.IsAtEnd(); ++iter)
{
if (iter.Get() == imageLabel)
{
roiFound = true;
iter.Set(1);
CharImageType::IndexType currentIndex = iter.GetIndex();
for (unsigned int dim = 0; dim < 3; ++dim)
{
minIndex[dim] = min(currentIndex[dim], minIndex[dim]);
maxIndex[dim] = max(currentIndex[dim], maxIndex[dim]);
}
}
else
{
iter.Set(0);
}
}
if (!roiFound)
{
ProgressBar::GetInstance()->Progress(8);
MITK_ERROR << "Didn't found segmentation labeled with " << imageLabel << "!" << endl;
return false;
}
ProgressBar::GetInstance()->Progress(1);
// Extract and pad bounding box
typedef itk::RegionOfInterestImageFilter<CharImageType, CharImageType> ROIFilterType;
ROIFilterType::Pointer roiFilter = ROIFilterType::New();
CharImageType::RegionType region;
CharImageType::SizeType size;
for (unsigned int dim = 0; dim < 3; ++dim)
{
size[dim] = maxIndex[dim] - minIndex[dim] + 1;
}
region.SetIndex(minIndex);
region.SetSize(size);
roiFilter->SetInput(itkImage);
roiFilter->SetRegionOfInterest(region);
roiFilter->ReleaseDataFlagOn();
roiFilter->ReleaseDataBeforeUpdateFlagOn();
typedef itk::ConstantPadImageFilter<CharImageType, CharImageType> PadFilterType;
PadFilterType::Pointer padFilter = PadFilterType::New();
const PadFilterType::SizeValueType pad[3] = { 10, 10, 10 };
padFilter->SetInput(roiFilter->GetOutput());
padFilter->SetConstant(0);
padFilter->SetPadLowerBound(pad);
padFilter->SetPadUpperBound(pad);
padFilter->ReleaseDataFlagOn();
padFilter->ReleaseDataBeforeUpdateFlagOn();
padFilter->Update();
CharImageType::Pointer roiImage = padFilter->GetOutput();
roiImage->DisconnectPipeline();
roiFilter = nullptr;
padFilter = nullptr;
// Correct origin of real geometry (changed by cropping and padding)
typedef Geometry3D::TransformType TransformType;
TransformType::Pointer transform = TransformType::New();
TransformType::OutputVectorType translation;
for (unsigned int dim = 0; dim < 3; ++dim)
translation[dim] = (int)minIndex[dim] - (int)pad[dim];
transform->SetIdentity();
transform->Translate(translation);
geometry->Compose(transform, true);
ProgressBar::GetInstance()->Progress(1);
// Median
MITK_INFO << "Median...";
typedef itk::BinaryMedianImageFilter<CharImageType, CharImageType> MedianFilterType;
MedianFilterType::Pointer medianFilter = MedianFilterType::New();
CharImageType::SizeType radius = { 0 };
medianFilter->SetRadius(radius);
medianFilter->SetBackgroundValue(0);
medianFilter->SetForegroundValue(1);
medianFilter->SetInput(roiImage);
medianFilter->ReleaseDataFlagOn();
medianFilter->ReleaseDataBeforeUpdateFlagOn();
medianFilter->Update();
ProgressBar::GetInstance()->Progress(1);
// Intelligent closing
MITK_INFO << "Intelligent closing...";
unsigned int surfaceRatio = (unsigned int)((1.0f - closing) * 100.0f);
typedef itk::IntelligentBinaryClosingFilter<CharImageType, ShortImageType> ClosingFilterType;
ClosingFilterType::Pointer closingFilter = ClosingFilterType::New();
closingFilter->SetInput(medianFilter->GetOutput());
closingFilter->ReleaseDataFlagOn();
closingFilter->ReleaseDataBeforeUpdateFlagOn();
closingFilter->SetSurfaceRatio(surfaceRatio);
closingFilter->Update();
ShortImageType::Pointer closedImage = closingFilter->GetOutput();
closedImage->DisconnectPipeline();
roiImage = nullptr;
medianFilter = nullptr;
closingFilter = nullptr;
ProgressBar::GetInstance()->Progress(1);
// Gaussian blur
MITK_INFO << "Gauss...";
typedef itk::BinaryThresholdImageFilter<ShortImageType, FloatImageType> BinaryThresholdToFloatFilterType;
BinaryThresholdToFloatFilterType::Pointer binThresToFloatFilter = BinaryThresholdToFloatFilterType::New();
binThresToFloatFilter->SetInput(closedImage);
binThresToFloatFilter->SetLowerThreshold(1);
binThresToFloatFilter->SetUpperThreshold(1);
binThresToFloatFilter->SetInsideValue(100);
binThresToFloatFilter->SetOutsideValue(0);
binThresToFloatFilter->ReleaseDataFlagOn();
binThresToFloatFilter->ReleaseDataBeforeUpdateFlagOn();
typedef itk::DiscreteGaussianImageFilter<FloatImageType, FloatImageType> GaussianFilterType;
// From the following line on, IntelliSense (VS 2008) is broken. Any idea how to fix it?
GaussianFilterType::Pointer gaussFilter = GaussianFilterType::New();
gaussFilter->SetInput(binThresToFloatFilter->GetOutput());
gaussFilter->SetUseImageSpacing(true);
gaussFilter->SetVariance(smoothing);
gaussFilter->ReleaseDataFlagOn();
gaussFilter->ReleaseDataBeforeUpdateFlagOn();
typedef itk::BinaryThresholdImageFilter<FloatImageType, CharImageType> BinaryThresholdFromFloatFilterType;
BinaryThresholdFromFloatFilterType::Pointer binThresFromFloatFilter = BinaryThresholdFromFloatFilterType::New();
binThresFromFloatFilter->SetInput(gaussFilter->GetOutput());
binThresFromFloatFilter->SetLowerThreshold(50);
binThresFromFloatFilter->SetUpperThreshold(255);
binThresFromFloatFilter->SetInsideValue(1);
binThresFromFloatFilter->SetOutsideValue(0);
binThresFromFloatFilter->ReleaseDataFlagOn();
binThresFromFloatFilter->ReleaseDataBeforeUpdateFlagOn();
binThresFromFloatFilter->Update();
CharImageType::Pointer blurredImage = binThresFromFloatFilter->GetOutput();
blurredImage->DisconnectPipeline();
closedImage = nullptr;
binThresToFloatFilter = nullptr;
gaussFilter = nullptr;
ProgressBar::GetInstance()->Progress(1);
// Fill holes
MITK_INFO << "Filling cavities...";
typedef itk::ConnectedThresholdImageFilter<CharImageType, CharImageType> ConnectedThresholdFilterType;
ConnectedThresholdFilterType::Pointer connectedThresFilter = ConnectedThresholdFilterType::New();
CharImageType::IndexType corner;
corner[0] = 0;
corner[1] = 0;
corner[2] = 0;
connectedThresFilter->SetInput(blurredImage);
connectedThresFilter->SetSeed(corner);
connectedThresFilter->SetLower(0);
connectedThresFilter->SetUpper(0);
connectedThresFilter->SetReplaceValue(2);
connectedThresFilter->ReleaseDataFlagOn();
connectedThresFilter->ReleaseDataBeforeUpdateFlagOn();
typedef itk::BinaryThresholdImageFilter<CharImageType, CharImageType> BinaryThresholdFilterType;
BinaryThresholdFilterType::Pointer binThresFilter = BinaryThresholdFilterType::New();
binThresFilter->SetInput(connectedThresFilter->GetOutput());
binThresFilter->SetLowerThreshold(0);
binThresFilter->SetUpperThreshold(0);
binThresFilter->SetInsideValue(50);
binThresFilter->SetOutsideValue(0);
binThresFilter->ReleaseDataFlagOn();
binThresFilter->ReleaseDataBeforeUpdateFlagOn();
typedef itk::AddImageFilter<CharImageType, CharImageType, CharImageType> AddFilterType;
AddFilterType::Pointer addFilter = AddFilterType::New();
addFilter->SetInput1(blurredImage);
addFilter->SetInput2(binThresFilter->GetOutput());
addFilter->ReleaseDataFlagOn();
addFilter->ReleaseDataBeforeUpdateFlagOn();
addFilter->Update();
ProgressBar::GetInstance()->Progress(1);
// Surface extraction
MITK_INFO << "Surface extraction...";
Image::Pointer filteredImage = Image::New();
CastToMitkImage(addFilter->GetOutput(), filteredImage);
filteredImage->SetGeometry(geometry);
ImageToSurfaceFilter::Pointer imageToSurfaceFilter = ImageToSurfaceFilter::New();
imageToSurfaceFilter->SetInput(filteredImage);
imageToSurfaceFilter->SetThreshold(50);
imageToSurfaceFilter->SmoothOn();
imageToSurfaceFilter->SetDecimate(ImageToSurfaceFilter::NoDecimation);
m_Surface = imageToSurfaceFilter->GetOutput(0);
ProgressBar::GetInstance()->Progress(1);
// Mesh decimation
if (decimation > 0.0f && decimation < 1.0f)
{
MITK_INFO << "Quadric mesh decimation...";
vtkQuadricDecimation *quadricDecimation = vtkQuadricDecimation::New();
quadricDecimation->SetInputData(m_Surface->GetVtkPolyData());
quadricDecimation->SetTargetReduction(decimation);
quadricDecimation->AttributeErrorMetricOn();
quadricDecimation->GlobalWarningDisplayOff();
quadricDecimation->Update();
vtkCleanPolyData* cleaner = vtkCleanPolyData::New();
cleaner->SetInputConnection(quadricDecimation->GetOutputPort());
cleaner->PieceInvariantOn();
cleaner->ConvertLinesToPointsOn();
cleaner->ConvertStripsToPolysOn();
cleaner->PointMergingOn();
cleaner->Update();
m_Surface->SetVtkPolyData(cleaner->GetOutput());
}
ProgressBar::GetInstance()->Progress(1);
// Compute Normals
vtkPolyDataNormals* computeNormals = vtkPolyDataNormals::New();
computeNormals->SetInputData(m_Surface->GetVtkPolyData());
computeNormals->SetFeatureAngle(360.0f);
computeNormals->FlipNormalsOff();
computeNormals->Update();
m_Surface->SetVtkPolyData(computeNormals->GetOutput());
return true;
}
void mitk::PicFileReader::GenerateOutputInformation()
{
Image::Pointer output = this->GetOutput();
if ((output->IsInitialized()) && (this->GetMTime() <= m_ReadHeaderTime.GetMTime()))
return;
itkDebugMacro(<<"Reading file for GenerateOutputInformation()" << m_FileName);
// Check to see if we can read the file given the name or prefix
//
if ( m_FileName == "" && m_FilePrefix == "" )
{
throw itk::ImageFileReaderException(__FILE__, __LINE__, "One of FileName or FilePrefix must be non-empty");
}
if( m_FileName != "")
{
mitkIpPicDescriptor* header=mitkIpPicGetHeader(const_cast<char *>(m_FileName.c_str()), NULL);
if ( !header )
{
throw itk::ImageFileReaderException(__FILE__, __LINE__, "File could not be read.");
}
header=MITKipPicGetTags(const_cast<char *>(m_FileName.c_str()), header);
int channels = 1;
mitkIpPicTSV_t *tsv;
if ( (tsv = mitkIpPicQueryTag( header, "SOURCE HEADER" )) != NULL)
{
if(tsv->n[0]>1e+06)
{
mitkIpPicTSV_t *tsvSH;
tsvSH = mitkIpPicDelTag( header, "SOURCE HEADER" );
mitkIpPicFreeTag(tsvSH);
}
}
if ( (tsv = mitkIpPicQueryTag( header, "ICON80x80" )) != NULL)
{
mitkIpPicTSV_t *tsvSH;
tsvSH = mitkIpPicDelTag( header, "ICON80x80" );
mitkIpPicFreeTag(tsvSH);
}
if ( (tsv = mitkIpPicQueryTag( header, "VELOCITY" )) != NULL)
{
++channels;
mitkIpPicDelTag( header, "VELOCITY" );
}
if( header == NULL || header->bpe == 0)
{
itk::ImageFileReaderException e(__FILE__, __LINE__);
itk::OStringStream msg;
msg << " Could not read file "
<< m_FileName.c_str();
e.SetDescription(msg.str().c_str());
throw e;
return;
}
// First initialize the geometry of the output image by the pic-header
SlicedGeometry3D::Pointer slicedGeometry = mitk::SlicedGeometry3D::New();
PicHelper::InitializeEvenlySpaced(header, header->n[2], slicedGeometry);
// if pic image only 3D, the n[3] value is not initialized
unsigned int timesteps = 1;
if( header->dim > 3 )
timesteps = header->n[3];
TimeSlicedGeometry::Pointer timeSliceGeometry = TimeSlicedGeometry::New();
timeSliceGeometry->InitializeEvenlyTimed(slicedGeometry, timesteps);
timeSliceGeometry->ImageGeometryOn();
// Cast the pic descriptor to ImageDescriptor and initialize the output
output->Initialize( CastToImageDescriptor(header));
output->SetGeometry( timeSliceGeometry );
mitkIpPicFree ( header );
}
else
{
int numberOfImages=0;
m_StartFileIndex=0;
mitkIpPicDescriptor* header=NULL;
char fullName[1024];
while(m_StartFileIndex<10)
{
sprintf(fullName, m_FilePattern.c_str(), m_FilePrefix.c_str(), m_StartFileIndex+numberOfImages);
FILE * f=fopen(fullName,"r");
if(f==NULL)
{
//already found an image?
if(numberOfImages>0)
break;
//no? let's increase start
++m_StartFileIndex;
}
else
{
fclose(f);
//only open the header of the first file found,
//@warning what to do when images do not have the same size??
if(header==NULL)
{
header=mitkIpPicGetHeader(fullName, NULL);
header=MITKipPicGetTags(fullName, header);
}
++numberOfImages;
}
}
printf("\n numberofimages %d\n",numberOfImages);
if(numberOfImages==0)
{
itk::ImageFileReaderException e(__FILE__, __LINE__);
itk::OStringStream msg;
msg << "no images found";
e.SetDescription(msg.str().c_str());
throw e;
return;
}
//@FIXME: was ist, wenn die Bilder nicht alle gleich gross sind?
if(numberOfImages>1)
{
printf("\n numberofimages %d > 1\n",numberOfImages);
header->dim=3;
header->n[2]=numberOfImages;
}
printf(" \ninitialisize output\n");
output->Initialize( CastToImageDescriptor(header) );
mitkIpPicFree ( header );
}
m_ReadHeaderTime.Modified();
}
void mitk::ExtractImageFilter::GenerateData()
{
Image::ConstPointer input = ImageToImageFilter::GetInput(0);
if ( (input->GetDimension() > 4) || (input->GetDimension() < 2) )
{
MITK_ERROR << "mitk::ExtractImageFilter:GenerateData works only with 3D and 3D+t images, sorry." << std::endl;
itkExceptionMacro("mitk::ExtractImageFilter works only with 3D and 3D+t images, sorry.");
return;
}
else if (input->GetDimension() == 4)
{
ImageTimeSelector::Pointer timeSelector = ImageTimeSelector::New();
timeSelector->SetInput( input );
timeSelector->SetTimeNr( m_TimeStep );
timeSelector->UpdateLargestPossibleRegion();
input = timeSelector->GetOutput();
}
else if (input->GetDimension() == 2)
{
Image::Pointer resultImage = ImageToImageFilter::GetOutput();
resultImage = const_cast<Image*>(input.GetPointer());
ImageToImageFilter::SetNthOutput( 0, resultImage );
return;
}
if ( m_SliceDimension >= input->GetDimension() )
{
MITK_ERROR << "mitk::ExtractImageFilter:GenerateData m_SliceDimension == " << m_SliceDimension << " makes no sense with an " << input->GetDimension() << "D image." << std::endl;
itkExceptionMacro("This is not a sensible value for m_SliceDimension.");
return;
}
AccessFixedDimensionByItk( input, ItkImageProcessing, 3 );
// set a nice geometry for display and point transformations
Geometry3D* inputImageGeometry = ImageToImageFilter::GetInput(0)->GetGeometry();
if (!inputImageGeometry)
{
MITK_ERROR << "In ExtractImageFilter::ItkImageProcessing: Input image has no geometry!" << std::endl;
return;
}
PlaneGeometry::PlaneOrientation orientation = PlaneGeometry::Axial;
switch ( m_SliceDimension )
{
default:
case 2:
orientation = PlaneGeometry::Axial;
break;
case 1:
orientation = PlaneGeometry::Frontal;
break;
case 0:
orientation = PlaneGeometry::Sagittal;
break;
}
PlaneGeometry::Pointer planeGeometry = PlaneGeometry::New();
planeGeometry->InitializeStandardPlane( inputImageGeometry, orientation, (ScalarType)m_SliceIndex, true, false );
Image::Pointer resultImage = ImageToImageFilter::GetOutput();
planeGeometry->ChangeImageGeometryConsideringOriginOffset(true);
resultImage->SetGeometry( planeGeometry );
}
/*!
\brief Copies transformation matrix of one image to another
*/
int main(int argc, char* argv[])
{
mitkCommandLineParser parser;
parser.setTitle("Copy Geometry");
parser.setCategory("Preprocessing Tools");
parser.setDescription("Copies transformation matrix of one image to another");
parser.setContributor("MIC");
parser.setArgumentPrefix("--", "-");
parser.addArgument("in", "i", mitkCommandLineParser::InputFile, "Input:", "input image", us::Any(), false);
parser.addArgument("ref", "r", mitkCommandLineParser::InputFile, "Reference:", "reference image", us::Any(), false);
parser.addArgument("alignCentroid", "a", mitkCommandLineParser::Bool, "align centroids", "align centroids", us::Any(), true);
parser.addArgument("out", "o", mitkCommandLineParser::OutputFile, "Output:", "output image", us::Any(), false);
map<string, us::Any> parsedArgs = parser.parseArguments(argc, argv);
if (parsedArgs.size()==0)
return EXIT_FAILURE;
// mandatory arguments
string imageName = us::any_cast<string>(parsedArgs["in"]);
string refImage = us::any_cast<string>(parsedArgs["ref"]);
string outImage = us::any_cast<string>(parsedArgs["out"]);
bool originOnly = false;
// Show a help message
if ( parsedArgs.count("alignCentroid") || parsedArgs.count("a"))
{
originOnly = true;
}
try
{
Image::Pointer source = dynamic_cast<mitk::Image*>(mitk::IOUtil::Load(refImage)[0].GetPointer());
Image::Pointer target = dynamic_cast<mitk::Image*>(mitk::IOUtil::Load(imageName)[0].GetPointer());
if (originOnly)
{
// Calculate correction to align centroids
double c[3];
c[0] = source->GetGeometry()->GetOrigin()[0]
+ source->GetGeometry()->GetExtent(0)/2.0
- target->GetGeometry()->GetOrigin()[0]
- target->GetGeometry()->GetExtent(0)/2.0;
c[1] = source->GetGeometry()->GetOrigin()[1]
+ source->GetGeometry()->GetExtent(1)/2.0
- target->GetGeometry()->GetOrigin()[1]
- target->GetGeometry()->GetExtent(1)/2.0;
c[2] = source->GetGeometry()->GetOrigin()[2]
+ source->GetGeometry()->GetExtent(2)/2.0
- target->GetGeometry()->GetOrigin()[2]
- target->GetGeometry()->GetExtent(2)/2.0;
double newOrigin[3];
newOrigin[0] = target->GetGeometry()->GetOrigin()[0] +c[0];
newOrigin[1] = target->GetGeometry()->GetOrigin()[1] +c[1];
newOrigin[2] = target->GetGeometry()->GetOrigin()[2] +c[2];
target->GetGeometry()->SetOrigin(newOrigin);
}
else
{
mitk::BaseGeometry* s_geom = source->GetGeometry();
mitk::BaseGeometry* t_geom = target->GetGeometry();
t_geom->SetIndexToWorldTransform(s_geom->GetIndexToWorldTransform());
target->SetGeometry(t_geom);
}
mitk::IOUtil::Save(target, outImage);
}
catch (itk::ExceptionObject e)
{
std::cout << e;
return EXIT_FAILURE;
}
catch (std::exception e)
{
std::cout << e.what();
return EXIT_FAILURE;
}
catch (...)
{
std::cout << "ERROR!?!";
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}