⭐ 欢迎来到虫虫下载站! | 📦 资源下载 📁 资源专辑 ℹ️ 关于我们
⭐ 虫虫下载站

📄 itkmeanreciprocalsquaredifferencepointsettoimagemetrictest.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
字号:
/*=========================================================================

  Program:   Insight Segmentation & Registration Toolkit
  Module:    $RCSfile: itkMeanReciprocalSquareDifferencePointSetToImageMetricTest.cxx,v $
  Language:  C++
  Date:      $Date: 2008-05-08 15:21:49 $
  Version:   $Revision: 1.2 $

  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.

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

#include "itkImageRegionIterator.h"
#include "itkTranslationTransform.h"
#include "itkLinearInterpolateImageFunction.h"
#include "itkMeanReciprocalSquareDifferencePointSetToImageMetric.h"
#include "itkGaussianImageSource.h"
#include "itkImage.h"
#include "itkPointSet.h"
#include "itkImageRegionIterator.h"

#include <iostream>

/**
 *  This test uses two 2D-Gaussians (standard deviation RegionSize/2)
 *  One is shifted by 5 pixels from the other.
 *
 *  This test computes the MeanReciprocalSquares value and derivatives
 *  for various shift values in (-10,10).
 *
 */

int itkMeanReciprocalSquareDifferencePointSetToImageMetricTest(int, char* [] )
{

//------------------------------------------------------------
// Create two simple images
//------------------------------------------------------------

  const unsigned int ImageDimension = 2;

  typedef double                   PixelType;

  typedef double                   CoordinateRepresentationType;

  //Allocate Images
  typedef itk::Image<PixelType,ImageDimension>         MovingImageType;
  typedef itk::Image<PixelType,ImageDimension>         FixedImageType;

  // Declare Gaussian Sources
  typedef itk::GaussianImageSource< MovingImageType >  MovingImageSourceType;
  typedef itk::GaussianImageSource< FixedImageType  >  FixedImageSourceType;
  typedef MovingImageSourceType::Pointer               MovingImageSourcePointer;
  typedef FixedImageSourceType::Pointer                FixedImageSourcePointer;

  // Note: the following declarations are classical arrays
  unsigned long fixedImageSize[]     = {  100,  100 };
  unsigned long movingImageSize[]    = {  100,  100 }; 

  float         fixedImageSpacing[]  = { 1.0f, 1.0f }; 
  float         movingImageSpacing[] = { 1.0f, 1.0f }; 

  float         fixedImageOrigin[]   = { 0.0f, 0.0f }; 
  float         movingImageOrigin[]  = { 0.0f, 0.0f }; 

  MovingImageSourceType::Pointer movingImageSource = MovingImageSourceType::New();
  FixedImageSourceType::Pointer  fixedImageSource  = FixedImageSourceType::New();

  fixedImageSource->SetSize(    fixedImageSize    );
  fixedImageSource->SetOrigin(  fixedImageOrigin  );
  fixedImageSource->SetSpacing( fixedImageSpacing );
  fixedImageSource->SetNormalized( false );
  fixedImageSource->SetScale( 250.0f );

  movingImageSource->SetSize(    movingImageSize    );
  movingImageSource->SetOrigin(  movingImageOrigin  );
  movingImageSource->SetSpacing( movingImageSpacing );
  movingImageSource->SetNormalized( false );
  movingImageSource->SetScale( 250.0f );

  movingImageSource->Update();  // Force the filter to run
  fixedImageSource->Update();   // Force the filter to run

  MovingImageType::Pointer movingImage = movingImageSource->GetOutput();
  FixedImageType::Pointer  fixedImage  = fixedImageSource->GetOutput();

//-----------------------------------------------------------
// Create the point set and load it with data by sampling 
// the fixed image
//-----------------------------------------------------------
  typedef itk::PointSet< float, 2 >   FixedPointSetType;
  FixedPointSetType::Pointer fixedPointSet = FixedPointSetType::New();

  const unsigned int numberOfPoints = 100;

  fixedPointSet->SetPointData( FixedPointSetType::PointDataContainer::New() );

  fixedPointSet->GetPoints()->Reserve( numberOfPoints );
  fixedPointSet->GetPointData()->Reserve( numberOfPoints );

  itk::ImageRegionIterator< FixedImageType > it( fixedImage, 
                                            fixedImage->GetBufferedRegion() );

  const unsigned int skip = 
      fixedImage->GetBufferedRegion().GetNumberOfPixels() / numberOfPoints;

  unsigned int counter = 0;

  FixedPointSetType::PointIdentifier pointId = 0;
  FixedPointSetType::PointType  point;

  it.GoToBegin();
  while( !it.IsAtEnd() )
    {
    if( counter==0 )
      {
      fixedImage->TransformIndexToPhysicalPoint( it.GetIndex(), point );
      std::cout << "******************* " << pointId << ":" << point << std::endl;
      fixedPointSet->SetPoint( pointId, point );
      fixedPointSet->SetPointData( pointId, it.Get() );
      ++pointId; 
      if( pointId == numberOfPoints )
        {
        break;
        }
      counter = skip;
      }
    --counter;
    ++it;
    }

  // print the points accessed via iterator
  FixedPointSetType::PointsContainer::ConstIterator pointItr = fixedPointSet->GetPoints()->Begin();
  FixedPointSetType::PointsContainer::ConstIterator pointEnd = fixedPointSet->GetPoints()->End();
  while (pointItr != pointEnd)
    {
    std::cout << pointItr.Value() << std::endl;
    ++pointItr;
    }
   


//-----------------------------------------------------------
// Set up  the Metric
//-----------------------------------------------------------
  typedef itk::MeanReciprocalSquareDifferencePointSetToImageMetric<  
                                       FixedPointSetType, 
                                       MovingImageType >   
                                                    MetricType;

  typedef MetricType::TransformType                 TransformBaseType;
  typedef TransformBaseType::ParametersType         ParametersType;
  typedef TransformBaseType::JacobianType           JacobianType;

  MetricType::Pointer  metric = MetricType::New();


//-----------------------------------------------------------
// Plug the Images into the metric
//-----------------------------------------------------------
  metric->SetFixedPointSet( fixedPointSet );
  metric->SetMovingImage( movingImage );

//-----------------------------------------------------------
// Set up a Transform
//-----------------------------------------------------------

  typedef itk::TranslationTransform< 
                        CoordinateRepresentationType, 
                        ImageDimension >         TransformType;

  TransformType::Pointer transform = TransformType::New();

  metric->SetTransform( transform.GetPointer() );


//------------------------------------------------------------
// Set up an Interpolator
//------------------------------------------------------------
  typedef itk::LinearInterpolateImageFunction< 
                    MovingImageType,
                    double > InterpolatorType;

  InterpolatorType::Pointer interpolator = InterpolatorType::New();

  interpolator->SetInputImage( movingImage.GetPointer() );
 
  metric->SetInterpolator( interpolator.GetPointer() );


  std::cout << metric << std::endl;


//------------------------------------------------------------
// This call is mandatory before start querying the Metric
// This method do all the necesary connections between the 
// internal components: Interpolator, Transform and Images
//------------------------------------------------------------
  try {
    metric->Initialize();
    }
  catch( itk::ExceptionObject & e )
    {
    std::cout << "Metric initialization failed" << std::endl;
    std::cout << "Reason " << e.GetDescription() << std::endl;
    return EXIT_FAILURE;
    }


//------------------------------------------------------------
// Set up transform parameters
//------------------------------------------------------------
  ParametersType parameters( transform->GetNumberOfParameters() );

  // initialize the offset/vector part
  for( unsigned int k = 0; k < ImageDimension; k++ )
    {
    parameters[k]= 0.0f;
    }


//---------------------------------------------------------
// Print out metric values
// for parameters[1] = {-10,10}  (arbitrary choice...)
//---------------------------------------------------------

  MetricType::MeasureType     measure;
  MetricType::DerivativeType  derivative;

  std::cout << "param[1]   Metric    d(Metric)/d(param[1] " << std::endl;

  for( double trans = -10; trans <= 5; trans += 0.2 )
    {
    parameters[1] = trans;
    metric->GetValueAndDerivative( parameters, measure, derivative );

    std::cout.width(5);
    std::cout.precision(5);
    std::cout << trans;
    std::cout.width(15);
    std::cout.precision(5);
    std::cout << measure;
    std::cout.width(15);
    std::cout.precision(5);
    std::cout << derivative[1];
    std::cout << std::endl;

    // exercise the other functions
    metric->GetValue( parameters );
    metric->GetDerivative( parameters, derivative );

    }

//-------------------------------------------------------
// exercise misc member functions
//-------------------------------------------------------
  std::cout << "Check case when Target is NULL" << std::endl;
  metric->SetFixedPointSet( NULL );
  try 
    {
    std::cout << "Value = " << metric->GetValue( parameters );
    std::cout << "If you are reading this message the Metric " << std::endl;
    std::cout << "is NOT managing exceptions correctly    " << std::endl;
    return EXIT_FAILURE;
    }
  catch( itk::ExceptionObject & e )
    { 
    std::cout << "Exception received (as expected) "    << std::endl;
    std::cout << "Description : " << e.GetDescription() << std::endl;
    std::cout << "Location    : " << e.GetLocation()    << std::endl;
    std::cout << "Test for exception throwing... PASSED ! " << std::endl;
    }
  
  try 
    {
    metric->GetValueAndDerivative( parameters, measure, derivative );
    std::cout << "Value = " << measure << std::endl;
    std::cout << "If you are reading this message the Metric " << std::endl;
    std::cout << "is NOT managing exceptions correctly    " << std::endl;
    return EXIT_FAILURE;
    }
  catch( itk::ExceptionObject & e )
    { 
    std::cout << "Exception received (as expected) "    << std::endl;
    std::cout << "Description : " << e.GetDescription() << std::endl;
    std::cout << "Location    : " << e.GetLocation()    << std::endl;
    std::cout << "Test for exception throwing... PASSED ! "  << std::endl;
    }
 

  return EXIT_SUCCESS;

}

⌨️ 快捷键说明

复制代码 Ctrl + C
搜索代码 Ctrl + F
全屏模式 F11
切换主题 Ctrl + Shift + D
显示快捷键 ?
增大字号 Ctrl + =
减小字号 Ctrl + -