[ITK] [ITK-users] MutualInformationImageToImageMetric without transformation

jan jan.bergmeier at imes.uni-hannover.de
Thu Aug 28 09:24:40 EDT 2014


Hi, I will use this way, because it's the most convenient that's working for
me.

    //Typedefs
    typedef itk::IdentityTransform< double, 2 > TransformType;
    typedef itk::GradientDescentOptimizer OptimizerType;
    typedef itk::LinearInterpolateImageFunction< UChar2DImageType, double >
InterpolatorType;
    typedef itk::MutualInformationImageToImageMetric< UChar2DImageType,
UChar2DImageType > MiMetricType;
    typedef itk::ImageRegistrationMethod< UChar2DImageType, UChar2DImageType
> RegistrationType;

    //Create registration components
    TransformType::Pointer transform = TransformType::New();
    OptimizerType::Pointer optimizer = OptimizerType::New();
    InterpolatorType::Pointer interpolator = InterpolatorType::New();
    RegistrationType::Pointer registration = RegistrationType::New();
    
    //Configure transform
    transform->SetIdentity();

    //Configure optimizer
    optimizer->SetNumberOfIterations( 1 );
    
    //Configure metric
    MetricType::Pointer metric = MetricType::New();
    metric->SetNumberOfSpatialSamples( 1000 );

    //Set up registration
    registration->SetOptimizer( optimizer );
    registration->SetTransform( transform );
    registration->SetInterpolator( interpolator );
    registration->SetMetric( metric );

    registration->SetFixedImage( fixedImageIn );
    registration->SetMovingImage( movingImageIn );
    registration->SetInitialTransformParameters( transform->GetParameters()
);

    //Perform registration
    try
    {
        registration->Update();
    }
    catch( itk::ExceptionObject & err )
    {
        std::cout << "ExceptionObject caught !" << std::endl;
        std::cout << err << std::endl;
    }

    //Get output
    double bestValue = optimizer->GetValue();

Thank you all for your help,

Jan



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