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📄 itkhessian3dtovesselnessmeasureimagefiltertest.cxx

📁 DTMK软件开发包,此为开源软件,是一款很好的医学图像开发资源.
💻 CXX
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/*=========================================================================

  Program:   Insight Segmentation & Registration Toolkit
  Module:    $RCSfile: itkHessian3DToVesselnessMeasureImageFilterTest.cxx,v $
  Language:  C++
  Date:      $Date: 2006-07-06 22:01:13 $
  Version:   $Revision: 1.1 $

  Copyright (c) Insight Software Consortium. All rights reserved.
  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.

=========================================================================*/
#if defined(_MSC_VER)
#pragma warning ( disable : 4786 )
#endif




#include "itkImage.h"
#include "itkHessianRecursiveGaussianImageFilter.h"
#include "itkHessian3DToVesselnessMeasureImageFilter.h"
#include "itkImageRegionIteratorWithIndex.h"


int itkHessian3DToVesselnessMeasureImageFilterTest(int, char* [] )
{

  // Define the dimension of the images
  const unsigned int myDimension = 3;

  // Declare the types of the images
  typedef itk::Image<float, myDimension>           myImageType;

  // Declare the type of the index to access images
  typedef itk::Index<myDimension>             myIndexType;

  // Declare the type of the size
  typedef itk::Size<myDimension>              mySizeType;

  // Declare the type of the Region
  typedef itk::ImageRegion<myDimension>        myRegionType;

  // Create the image
  myImageType::Pointer inputImage  = myImageType::New();


  // Define their size, and start index
  mySizeType size;
  size[0] = 8;
  size[1] = 8;
  size[2] = 8;

  myIndexType start;
  start.Fill(0);

  myRegionType region;
  region.SetIndex( start );
  region.SetSize( size );

  // Initialize Image A
  inputImage->SetLargestPossibleRegion( region );
  inputImage->SetBufferedRegion( region );
  inputImage->SetRequestedRegion( region );
  inputImage->Allocate();

  // Declare Iterator type for the input image
  typedef itk::ImageRegionIteratorWithIndex<myImageType>  myIteratorType;

  // Create one iterator for the Input Image A (this is a light object)
  myIteratorType it( inputImage, inputImage->GetRequestedRegion() );

  // Initialize the content of Image A
  while( !it.IsAtEnd() )
    {
    it.Set( 0.0 );
    ++it;
    }

  size[0] = 1;
  size[1] = 8;
  size[2] = 1;

  start[0] = 3;
  start[1] = 0;
  start[2] = 3;

  // Create one iterator for an internal region
  region.SetSize( size );
  region.SetIndex( start );
  myIteratorType itb( inputImage, region );

  // Initialize the content the internal region
  while( !itb.IsAtEnd() )
    {
    itb.Set( 100.0 );
    ++itb;
    }

  // Declare the type for the Hessian filter
  typedef itk::HessianRecursiveGaussianImageFilter<
                                            myImageType >  myHessianFilterType;

  typedef myHessianFilterType::OutputImageType myHessianImageType;

  // Declare the type for the vesselness filter
  typedef itk::Hessian3DToVesselnessMeasureImageFilter<
                                            float >  myVesselnessFilterType;

  typedef myVesselnessFilterType::OutputImageType myVesselnessImageType;


  // Create a Hessian Filter
  myHessianFilterType::Pointer filterHessian = myHessianFilterType::New();

  // Create a vesselness Filter
  myVesselnessFilterType::Pointer filterVesselness = myVesselnessFilterType::New();


  // Connect the input images
  filterHessian->SetInput( inputImage );
  filterVesselness->SetInput( filterHessian->GetOutput() );

  // Select the value of Sigma
  filterHessian->SetSigma( 0.5 );


  // Execute the filter
  filterVesselness->Update();

  // Get the Smart Pointer to the Filter Output
  // It is important to do it AFTER the filter is Updated
  // Because the object connected to the output may be changed
  // by another during GenerateData() call
  myVesselnessImageType::Pointer outputImage = filterVesselness->GetOutput();

  // Declare Iterator type for the output image
  typedef itk::ImageRegionIteratorWithIndex<
                                 myVesselnessImageType>  myOutputIteratorType;

  // Create an iterator for going through the output image
  myOutputIteratorType itg( outputImage,
                            outputImage->GetRequestedRegion() );

  //  Print the content of the result image
  std::cout << " Result " << std::endl;
  itg.GoToBegin();
  while( !itg.IsAtEnd() )
    {
    std::cout << itg.Get() << " ";
    ++itg;
    }


  return EXIT_SUCCESS;

}

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