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/*=========================================================================
Program: VMTK
Module: $RCSfile: vtkbvsVesselEnhancingDiffusionImageFilter.cxx,v $
Language: C++
Date: $Date: 2006/04/06 16:48:25 $
Version: $Revision: 1.1 $
Copyright (c) Luca Antiga, David Steinman. All rights reserved.
See LICENCE file for details.
Portions of this code are covered under the VTK copyright.
See VTKCopyright.txt or http://www.kitware.com/VTKCopyright.htm
for details.
Portions of this code are covered under the ITK copyright.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm
for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#include "vtkvmtkVesselEnhancingDiffusionImageFilter.h"
#include "vtkObjectFactory.h"
#include "vtkvmtkITKFilterUtilities.h"
#include "itkAnisotropicDiffusionVesselEnhancementImageFilter.h"
#include "itkMultiScaleHessianBasedMeasureImageFilter.h"
#include "itkHessianSmoothed3DToVesselnessMeasureImageFilter.h"
vtkStandardNewMacro(vtkvmtkVesselEnhancingDiffusionImageFilter);
vtkvmtkVesselEnhancingDiffusionImageFilter::vtkvmtkVesselEnhancingDiffusionImageFilter()
{
this->SigmaMin = 1.0;
this->SigmaMax = 1.0;
this->NumberOfSigmaSteps = 1;
this->SigmaStepMethod = EQUISPACED;
this->NumberOfIterations = 1;
this->NumberOfDiffusionSubIterations = 1;
this->TimeStep = 0.01;
this->Epsilon = 1E-6;
this->WStrength = 1.0;
this->Sensitivity = 1.0;
this->Alpha = 1.0;
this->Beta = 1.0;
this->Gamma = 1.0;
this->C = 1.0;
}
void vtkvmtkVesselEnhancingDiffusionImageFilter::SimpleExecute(vtkImageData* input, vtkImageData* output)
{
typedef itk::Image<float,3> ImageType;
ImageType::Pointer inImage = ImageType::New();
vtkvmtkITKFilterUtilities::VTKToITKImage<ImageType>(input,inImage);
typedef itk::AnisotropicDiffusionVesselEnhancementImageFilter<ImageType, ImageType> AnisotropicDiffusionFilterType;
typedef AnisotropicDiffusionFilterType::MultiScaleVesselnessFilterType MultiScaleFilterType;
typedef AnisotropicDiffusionFilterType::VesselnessFilterType VesselnessFilterType;
AnisotropicDiffusionFilterType::Pointer anisotropicDiffusionFilter = AnisotropicDiffusionFilterType::New();
MultiScaleFilterType::Pointer multiScaleFilter = anisotropicDiffusionFilter->GetMultiScaleVesselnessFilter();
multiScaleFilter->SetSigmaMinimum(this->SigmaMin);
multiScaleFilter->SetSigmaMaximum(this->SigmaMax);
multiScaleFilter->SetNumberOfSigmaSteps(this->NumberOfSigmaSteps);
if (this->SigmaStepMethod == EQUISPACED)
{
multiScaleFilter->SetSigmaStepMethodToEquispaced();
}
else if (this->SigmaStepMethod == LOGARITHMIC)
{
multiScaleFilter->SetSigmaStepMethodToLogarithmic();
}
VesselnessFilterType* vesselnessFilter = dynamic_cast<VesselnessFilterType*>(multiScaleFilter->GetHessianToMeasureFilter());
vesselnessFilter->SetAlpha(this->Alpha);
vesselnessFilter->SetBeta(this->Beta);
vesselnessFilter->SetGamma(this->Gamma);
vesselnessFilter->SetC(this->C);
anisotropicDiffusionFilter->SetInput(inImage);
anisotropicDiffusionFilter->SetTimeStep(this->TimeStep);
anisotropicDiffusionFilter->SetEpsilon(this->Epsilon);
anisotropicDiffusionFilter->SetWStrength(this->WStrength);
anisotropicDiffusionFilter->SetSensitivity(this->Sensitivity);
anisotropicDiffusionFilter->SetNumberOfIterations(this->NumberOfIterations);
anisotropicDiffusionFilter->SetNumberOfDiffusionSubIterations(this->NumberOfDiffusionSubIterations);
anisotropicDiffusionFilter->Update();
vtkvmtkITKFilterUtilities::ITKToVTKImage<ImageType>(anisotropicDiffusionFilter->GetOutput(),output);
}
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