1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89
|
/*=========================================================================
Program: VMTK
Module: $RCSfile: vtkvmtkSatoVesselnessMeasureImageFilter.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 "vtkvmtkSatoVesselnessMeasureImageFilter.h"
#include "vtkImageData.h"
#include "vtkObjectFactory.h"
#include "vtkvmtkITKFilterUtilities.h"
#include "itkMultiScaleHessianBasedMeasureImageFilter.h"
#include "itkHessian3DToVesselnessMeasureImageFilter.h"
vtkCxxRevisionMacro(vtkvmtkSatoVesselnessMeasureImageFilter, "$Revision: 1.2 $");
vtkStandardNewMacro(vtkvmtkSatoVesselnessMeasureImageFilter);
vtkvmtkSatoVesselnessMeasureImageFilter::vtkvmtkSatoVesselnessMeasureImageFilter()
{
this->SigmaMin = 1.0;
this->SigmaMax = 2.0;
this->NumberOfSigmaSteps = 2;
this->SetSigmaStepMethodToEquispaced();
this->Alpha1 = 0.5;
this->Alpha2 = 2.0;
}
vtkvmtkSatoVesselnessMeasureImageFilter::~vtkvmtkSatoVesselnessMeasureImageFilter()
{
}
void vtkvmtkSatoVesselnessMeasureImageFilter::SimpleExecute(vtkImageData *input, vtkImageData *output)
{
typedef itk::Image<float,3> ImageType;
ImageType::Pointer inImage = ImageType::New();
vtkvmtkITKFilterUtilities::VTKToITKImage<ImageType>(input,inImage);
typedef itk::SymmetricSecondRankTensor<double,3> HessianPixelType;
typedef itk::Image<HessianPixelType,3> HessianImageType;
typedef itk::Hessian3DToVesselnessMeasureImageFilter<float> VesselnessFilterType;
typedef itk::MultiScaleHessianBasedMeasureImageFilter<ImageType,HessianImageType,ImageType> ImageFilterType;
VesselnessFilterType::Pointer vesselnessFilter = VesselnessFilterType::New();
vesselnessFilter->SetAlpha1(this->Alpha1);
vesselnessFilter->SetAlpha2(this->Alpha2);
ImageFilterType::Pointer imageFilter = ImageFilterType::New();
imageFilter->SetSigmaMinimum(this->SigmaMin);
imageFilter->SetSigmaMaximum(this->SigmaMax);
imageFilter->SetNumberOfSigmaSteps(this->NumberOfSigmaSteps);
if (this->SigmaStepMethod == EQUISPACED)
{
imageFilter->SetSigmaStepMethodToEquispaced();
}
else if (this->SigmaStepMethod == LOGARITHMIC)
{
imageFilter->SetSigmaStepMethodToLogarithmic();
}
imageFilter->GenerateScalesOutputOn();
imageFilter->SetHessianToMeasureFilter(vesselnessFilter.GetPointer());
imageFilter->SetInput(inImage);
imageFilter->Update();
vtkvmtkITKFilterUtilities::ITKToVTKImage<ImageType>(imageFilter->GetOutput(),output);
}
|