[Insight-users] exception with GeodesicActiveContours 3D segmentation
Marco Gheza
marcogheza4mailinglists at gmail.com
Mon May 3 09:14:52 EDT 2010
Hi,
I'm trying to use GeodesicActiveContoursSegmentation with a 3D volume. I
want to use a PET gradient image as the feature image and the CT image as
the image to be segmented.
This is my code:
#include "itkImage.h"
#include "itkGeodesicActiveContourLevelSetImageFilter.h"
#include "itkCurvatureAnisotropicDiffusionImageFilter.h"
#include "itkGradientMagnitudeRecursiveGaussianImageFilter.h"
#include "itkSigmoidImageFilter.h"
#include "itkFastMarchingImageFilter.h"
#include "itkRescaleIntensityImageFilter.h"
#include "itkBinaryThresholdImageFilter.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
int main( int argc, char *argv[] )
{
if( argc < 7 )
{
std::cerr << "Missing Parameters " << std::endl;
std::cerr << "Usage: " << argv[0];
std::cerr << " inputImageCT inputImagePT outputImage";
std::cerr << " seedX seedY seedZ";
return 1;
}
typedef float InternalPixelType;
const unsigned int Dimension = 3;
typedef itk::Image< InternalPixelType, Dimension > InternalImageType;
typedef unsigned char OutputPixelType;
typedef itk::Image< OutputPixelType, Dimension > OutputImageType;
typedef itk::BinaryThresholdImageFilter<
InternalImageType,
OutputImageType > ThresholdingFilterType;
ThresholdingFilterType::Pointer thresholder =
ThresholdingFilterType::New();
thresholder->SetLowerThreshold( -1000.0 );
thresholder->SetUpperThreshold( 0.0 );
thresholder->SetOutsideValue( 0 );
thresholder->SetInsideValue( 255 );
typedef itk::ImageFileReader< InternalImageType > ReaderType;
typedef itk::ImageFileWriter< OutputImageType > WriterType;
ReaderType::Pointer reader = ReaderType::New();
ReaderType::Pointer readerPT = ReaderType::New();
WriterType::Pointer writer = WriterType::New();
reader->SetFileName( argv[1] );
readerPT->SetFileName( argv[2] );
writer->SetFileName( argv[3] );
typedef itk::RescaleIntensityImageFilter<
InternalImageType,
OutputImageType > CastFilterType;
///filter in order to obtain the feature image///
typedef itk::CurvatureAnisotropicDiffusionImageFilter<
InternalImageType,
InternalImageType > SmoothingFilterType;
typedef itk::GradientMagnitudeRecursiveGaussianImageFilter<
InternalImageType,
InternalImageType > GradientFilterType;
typedef itk::SigmoidImageFilter<
InternalImageType,
InternalImageType > SigmoidFilterType;
SmoothingFilterType::Pointer smoothing = SmoothingFilterType::New();
GradientFilterType::Pointer gradientMagnitude =
GradientFilterType::New();
SigmoidFilterType::Pointer sigmoid = SigmoidFilterType::New();
smoothing->SetTimeStep( 0.0625 );
smoothing->SetNumberOfIterations( 5 );
smoothing->SetConductanceParameter( 9.0 );
const double sigma = 1.0;
gradientMagnitude->SetSigma( sigma );
const double alpha = -0.5;
const double beta = 3.0;
sigmoid->SetAlpha( alpha );
sigmoid->SetBeta( beta );
sigmoid->SetOutputMinimum( 0.0 );
sigmoid->SetOutputMaximum( 1.0 );
///filter in order to obtain the feature image///
///level set///
typedef itk::FastMarchingImageFilter<
InternalImageType,
InternalImageType > FastMarchingFilterType;
typedef itk::GeodesicActiveContourLevelSetImageFilter<
InternalImageType,
InternalImageType > GeodesicActiveContourFilterType;
FastMarchingFilterType::Pointer fastMarching =
FastMarchingFilterType::New();
GeodesicActiveContourFilterType::Pointer geodesicActiveContour =
GeodesicActiveContourFilterType::New();
const double propagationScaling = 2.0;
geodesicActiveContour->SetPropagationScaling( propagationScaling );
geodesicActiveContour->SetCurvatureScaling( 1.0 );
geodesicActiveContour->SetAdvectionScaling( 1.0 );
geodesicActiveContour->SetMaximumRMSError( 0.02 );
geodesicActiveContour->SetNumberOfIterations( 800 );
///level set///
///utility for the fast marching///
typedef FastMarchingFilterType::NodeContainer NodeContainer;
typedef FastMarchingFilterType::NodeType NodeType;
NodeContainer::Pointer seeds = NodeContainer::New();
InternalImageType::IndexType seedPosition;
seedPosition[0] = atoi( argv[4] );
seedPosition[1] = atoi( argv[5] );
seedPosition[1] = atoi( argv[6] );
const double initialDistance = 5.0;
NodeType node;
const double seedValue = - initialDistance;
node.SetValue( seedValue );
node.SetIndex( seedPosition );
seeds->Initialize();
seeds->InsertElement( 0, node );
fastMarching->SetTrialPoints( seeds );
fastMarching->SetSpeedConstant( 1.0 );
///utility for the fast marching///
// 1° step
smoothing->SetInput( readerPT->GetOutput() );
gradientMagnitude->SetInput( smoothing->GetOutput() );
sigmoid->SetInput( gradientMagnitude->GetOutput() );
// 2° step
geodesicActiveContour->SetInput( fastMarching->GetOutput() );
geodesicActiveContour->SetFeatureImage( sigmoid->GetOutput() );
// 3° step
thresholder->SetInput( geodesicActiveContour->GetOutput() );
writer->SetInput( thresholder->GetOutput() );
try
{
writer->Update();
}
catch( itk::ExceptionObject & excep )
{
std::cerr << "Exception caught !" << std::endl;
std::cerr << excep << std::endl;
}
}
unfortunatly, when i try to run it, i obtain this output message:
Exception caught !
itk::ExceptionObject (009EEB20)
Location: "__thiscall itk::ImageConstIterator<class itk::Image<class
itk::FixedArray<float,3>,3> >:
ImageConstIterator(const class itk::Image<class itk::FixedArray<float,3>,3>
*,const class itk::Imag
Region<3> &)"
File: c:\insighttoolkit-3.16.0\code\common\itkImageConstIterator.h
Line: 182
Description: itk::ERROR: Region ImageRegion (009EE8DC)
Dimension: 3
Index: [0, 0, 0]
Size: [128, 128, 287]
is outside of buffered region ImageRegion (024035E0)
Dimension: 3
Index: [0, 0, 0]
Size: [16, 16, 16]
i don't know why. Please help me, thanks, bye,
Marco
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