Computes the mutual information between two images to be registered using the method of Mattes et al. More...
#include <itkMattesMutualInformationImageToImageMetric.h>
Detailed Description
template<class TFixedImage, class TMovingImage>
class itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >
Computes the mutual information between two images to be registered using the method of Mattes et al.
MattesMutualInformationImageToImageMetric computes the mutual information between a fixed and moving image to be registered.
This class is templated over the FixedImage type and the MovingImage type.
The fixed and moving images are set via methods SetFixedImage() and SetMovingImage(). This metric makes use of user specified Transform and Interpolator. The Transform is used to map points from the fixed image to the moving image domain. The Interpolator is used to evaluate the image intensity at user specified geometric points in the moving image. The Transform and Interpolator are set via methods SetTransform() and SetInterpolator().
If a BSplineInterpolationFunction is used, this class obtain image derivatives from the BSpline interpolator. Otherwise, image derivatives are computed using central differencing.
- Warning:
- This metric assumes that the moving image has already been connected to the interpolator outside of this class.
The method GetValue() computes of the mutual information while method GetValueAndDerivative() computes both the mutual information and its derivatives with respect to the transform parameters.
The calculations are based on the method of Mattes et al [1,2] where the probability density distribution are estimated using Parzen histograms. Since the fixed image PDF does not contribute to the derivatives, it does not need to be smooth. Hence, a zero order (box car) BSpline kernel is used for the fixed image intensity PDF. On the other hand, to ensure smoothness a third order BSpline kernel is used for the moving image intensity PDF.
On Initialize(), the FixedImage is uniformly sampled within the FixedImageRegion. The number of samples used can be set via SetNumberOfSpatialSamples(). Typically, the number of spatial samples used should increase with the image size.
The option UseAllPixelOn() disables the random sampling and uses all the pixels of the FixedImageRegion in order to estimate the joint intensity PDF.
During each call of GetValue(), GetDerivatives(), GetValueAndDerivatives(), marginal and joint intensity PDF's values are estimated at discrete position or bins. The number of bins used can be set via SetNumberOfHistogramBins(). To handle data with arbitray magnitude and dynamic range, the image intensity is scale such that any contribution to the histogram will fall into a valid bin.
One the PDF's have been contructed, the mutual information is obtained by doubling summing over the discrete PDF values.
Notes: 1. This class returns the negative mutual information value. 2. This class in not thread safe due the private data structures used to the store the sampled points and the marginal and joint pdfs.
References: [1] "Nonrigid multimodality image registration" D. Mattes, D. R. Haynor, H. Vesselle, T. Lewellen and W. Eubank Medical Imaging 2001: Image Processing, 2001, pp. 1609-1620. [2] "PET-CT Image Registration in the Chest Using Free-form Deformations" D. Mattes, D. R. Haynor, H. Vesselle, T. Lewellen and W. Eubank IEEE Transactions in Medical Imaging. Vol.22, No.1, January 2003. pp.120-128. [3] "Optimization of Mutual Information for MultiResolution Image Registration" P. Thevenaz and M. Unser IEEE Transactions in Image Processing, 9(12) December 2000.
Definition at line 125 of file itkMattesMutualInformationImageToImageMetric.h.
Member Typedef Documentation
typedef FixedArray< unsigned long, ::itk::GetImageDimension<FixedImageType>::ImageDimension > itk::ImageToImageMetric< TFixedImage, TMovingImage >::BSplineParametersOffsetType [protected, inherited] |
Definition at line 465 of file itkOptImageToImageMetric.h.
| typedef Superclass::BSplineTransformIndexArrayType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::BSplineTransformIndexArrayType |
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 151 of file itkOptMattesMutualInformationImageToImageMetric.h.
| typedef Superclass::BSplineTransformWeightsType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::BSplineTransformWeightsType |
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 149 of file itkOptMattesMutualInformationImageToImageMetric.h.
| typedef SmartPointer<const Self> itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::ConstPointer |
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 134 of file itkMattesMutualInformationImageToImageMetric.h.
| typedef SmartPointer<const Self> itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::ConstPointer |
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 126 of file itkOptMattesMutualInformationImageToImageMetric.h.
| typedef Superclass::CoordinateRepresentationType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::CoordinateRepresentationType |
Type used for representing point components
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 158 of file itkMattesMutualInformationImageToImageMetric.h.
| typedef Superclass::CoordinateRepresentationType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::CoordinateRepresentationType |
Type used for representing point components
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 154 of file itkOptMattesMutualInformationImageToImageMetric.h.
| typedef Superclass::DerivativeType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::DerivativeType |
Type of the derivative.
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 148 of file itkMattesMutualInformationImageToImageMetric.h.
| typedef Superclass::DerivativeType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::DerivativeType |
Type of the derivative.
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 141 of file itkOptMattesMutualInformationImageToImageMetric.h.
| typedef Superclass::FixedImageConstPointer itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::FixedImageConstPointer |
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 146 of file itkOptMattesMutualInformationImageToImageMetric.h.
| typedef Superclass::FixedImageConstPointer itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::FixedImageConstPointer |
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 152 of file itkMattesMutualInformationImageToImageMetric.h.
typedef std::vector<FixedImageIndexType> itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImageIndexContainer [inherited] |
Definition at line 113 of file itkOptImageToImageMetric.h.
| typedef FixedImageType::IndexType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::FixedImageIndexType |
Index and Point typedef support.
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 161 of file itkMattesMutualInformationImageToImageMetric.h.
| typedef FixedImageIndexType::IndexValueType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::FixedImageIndexValueType |
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 163 of file itkMattesMutualInformationImageToImageMetric.h.
typedef FixedImageMaskType::ConstPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImageMaskConstPointer [inherited] |
Definition at line 137 of file itkImageToImageMetric.h.
typedef FixedImageMaskType::ConstPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImageMaskConstPointer [inherited] |
Definition at line 145 of file itkOptImageToImageMetric.h.
typedef FixedImageMaskType::Pointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImageMaskPointer [inherited] |
Definition at line 144 of file itkOptImageToImageMetric.h.
typedef FixedImageMaskType::Pointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImageMaskPointer [inherited] |
Definition at line 136 of file itkImageToImageMetric.h.
typedef SpatialObject< itkGetStaticConstMacro(FixedImageDimension) > itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImageMaskType [inherited] |
Type for the mask of the fixed image. Only pixels that are "inside" this mask will be considered for the computation of the metric
Definition at line 135 of file itkImageToImageMetric.h.
typedef SpatialObject< itkGetStaticConstMacro(FixedImageDimension) > itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImageMaskType [inherited] |
Type for the mask of the fixed image. Only pixels that are "inside" this mask will be considered for the computation of the metric
Definition at line 143 of file itkOptImageToImageMetric.h.
typedef TFixedImage::PixelType itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImagePixelType [inherited] |
Reimplemented in itk::GradientDifferenceImageToImageMetric< TFixedImage, TMovingImage >, and itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 81 of file itkOptImageToImageMetric.h.
| typedef TransformType::InputPointType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::FixedImagePointType |
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 165 of file itkMattesMutualInformationImageToImageMetric.h.
typedef FixedImageType::RegionType itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImageRegionType [inherited] |
Reimplemented in itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::KappaStatisticImageToImageMetric< TFixedImage, TMovingImage >, itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage >, and itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 83 of file itkImageToImageMetric.h.
typedef FixedImageType::RegionType itk::ImageToImageMetric< TFixedImage, TMovingImage >::FixedImageRegionType [inherited] |
Reimplemented in itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::KappaStatisticImageToImageMetric< TFixedImage, TMovingImage >, itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage >, and itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 83 of file itkOptImageToImageMetric.h.
| typedef Superclass::FixedImageSampleContainer itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::FixedImageSampleContainer |
FixedImageSamplePoint typedef support.
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 156 of file itkOptMattesMutualInformationImageToImageMetric.h.
typedef std::vector<FixedImageSpatialSample> itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::FixedImageSpatialSampleContainer [protected] |
FixedImageSpatialSample typedef support.
Definition at line 303 of file itkMattesMutualInformationImageToImageMetric.h.
| typedef Superclass::FixedImageType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::FixedImageType |
Type of the fixed Image.
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 143 of file itkOptMattesMutualInformationImageToImageMetric.h.
| typedef Superclass::FixedImageType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::FixedImageType |
Type of the fixed Image.
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 150 of file itkMattesMutualInformationImageToImageMetric.h.
typedef GradientImageFilterType::Pointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::GradientImageFilterPointer [inherited] |
Gaussian filter to compute the gradient of the Moving Image
Definition at line 125 of file itkImageToImageMetric.h.
typedef GradientImageFilterType::Pointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::GradientImageFilterPointer [inherited] |
Gaussian filter to compute the gradient of the Moving Image
Definition at line 133 of file itkOptImageToImageMetric.h.
typedef GradientRecursiveGaussianImageFilter< MovingImageType, GradientImageType > itk::ImageToImageMetric< TFixedImage, TMovingImage >::GradientImageFilterType [inherited] |
Gaussian filter to compute the gradient of the Moving Image
Definition at line 132 of file itkOptImageToImageMetric.h.
typedef GradientRecursiveGaussianImageFilter< MovingImageType, GradientImageType > itk::ImageToImageMetric< TFixedImage, TMovingImage >::GradientImageFilterType [inherited] |
Gaussian filter to compute the gradient of the Moving Image
Definition at line 124 of file itkImageToImageMetric.h.
typedef SmartPointer<GradientImageType> itk::ImageToImageMetric< TFixedImage, TMovingImage >::GradientImagePointer [inherited] |
Gaussian filter to compute the gradient of the Moving Image
Definition at line 121 of file itkImageToImageMetric.h.
typedef SmartPointer<GradientImageType> itk::ImageToImageMetric< TFixedImage, TMovingImage >::GradientImagePointer [inherited] |
Gaussian filter to compute the gradient of the Moving Image
Definition at line 129 of file itkOptImageToImageMetric.h.
typedef Image<GradientPixelType, itkGetStaticConstMacro(MovingImageDimension)> itk::ImageToImageMetric< TFixedImage, TMovingImage >::GradientImageType [inherited] |
Gaussian filter to compute the gradient of the Moving Image
Reimplemented in itk::KappaStatisticImageToImageMetric< TFixedImage, TMovingImage >, and itk::MeanSquaresImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 128 of file itkOptImageToImageMetric.h.
typedef Image<GradientPixelType, itkGetStaticConstMacro(MovingImageDimension)> itk::ImageToImageMetric< TFixedImage, TMovingImage >::GradientImageType [inherited] |
Gaussian filter to compute the gradient of the Moving Image
Reimplemented in itk::KappaStatisticImageToImageMetric< TFixedImage, TMovingImage >, and itk::MeanSquaresImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 120 of file itkImageToImageMetric.h.
typedef CovariantVector<RealType, itkGetStaticConstMacro(MovingImageDimension)> itk::ImageToImageMetric< TFixedImage, TMovingImage >::GradientPixelType [inherited] |
Gaussian filter to compute the gradient of the Moving Image
Reimplemented in itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::CorrelationCoefficientHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::KappaStatisticImageToImageMetric< TFixedImage, TMovingImage >, itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage >, itk::MeanSquaresHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::MeanSquaresImageToImageMetric< TFixedImage, TMovingImage >, itk::MutualInformationHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >, itk::NormalizedMutualInformationHistogramImageToImageMetric< TFixedImage, TMovingImage >, and itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 117 of file itkImageToImageMetric.h.
typedef CovariantVector<RealType, itkGetStaticConstMacro(MovingImageDimension)> itk::ImageToImageMetric< TFixedImage, TMovingImage >::GradientPixelType [inherited] |
Gaussian filter to compute the gradient of the Moving Image
Reimplemented in itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::CorrelationCoefficientHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::KappaStatisticImageToImageMetric< TFixedImage, TMovingImage >, itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage >, itk::MeanSquaresHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::MeanSquaresImageToImageMetric< TFixedImage, TMovingImage >, itk::MutualInformationHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >, itk::NormalizedMutualInformationHistogramImageToImageMetric< TFixedImage, TMovingImage >, and itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 125 of file itkOptImageToImageMetric.h.
| typedef Superclass::ImageDerivativesType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::ImageDerivativesType |
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 157 of file itkOptMattesMutualInformationImageToImageMetric.h.
| typedef Superclass::IndexValueType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::IndexValueType |
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 159 of file itkOptMattesMutualInformationImageToImageMetric.h.
| typedef Superclass::InputPointType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::InputPointType |
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 154 of file itkMattesMutualInformationImageToImageMetric.h.
typedef int itk::LightObject::InternalReferenceCountType [protected, inherited] |
Define the type of the reference count according to the target. This allows the use of atomic operations
Definition at line 139 of file itkLightObject.h.
typedef InterpolatorType::Pointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::InterpolatorPointer [inherited] |
Reimplemented in itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >, and itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 137 of file itkOptImageToImageMetric.h.
typedef InterpolatorType::Pointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::InterpolatorPointer [inherited] |
Reimplemented in itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >, and itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 129 of file itkImageToImageMetric.h.
| typedef Superclass::InterpolatorType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::InterpolatorType |
Type of the Interpolator Base class
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 139 of file itkOptMattesMutualInformationImageToImageMetric.h.
| typedef Superclass::InterpolatorType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::InterpolatorType |
Type of the Interpolator Base class
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 146 of file itkMattesMutualInformationImageToImageMetric.h.
| typedef Superclass::MeasureType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::MeasureType |
Type of the measure.
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 140 of file itkOptMattesMutualInformationImageToImageMetric.h.
| typedef Superclass::MeasureType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::MeasureType |
Type of the measure.
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 147 of file itkMattesMutualInformationImageToImageMetric.h.
| typedef Superclass::MovingImageConstPointer itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::MovingImageConstPointer |
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 147 of file itkOptMattesMutualInformationImageToImageMetric.h.
| typedef Superclass::MovingImageConstPointer itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::MovingImageCosntPointer |
Definition at line 153 of file itkMattesMutualInformationImageToImageMetric.h.
| typedef MovingImageType::IndexType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::MovingImageIndexType |
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 164 of file itkMattesMutualInformationImageToImageMetric.h.
typedef MovingImageMaskType::ConstPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::MovingImageMaskConstPointer [inherited] |
Definition at line 152 of file itkOptImageToImageMetric.h.
typedef MovingImageMaskType::ConstPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::MovingImageMaskConstPointer [inherited] |
Definition at line 145 of file itkImageToImageMetric.h.
typedef MovingImageMaskType::Pointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::MovingImageMaskPointer [inherited] |
Definition at line 144 of file itkImageToImageMetric.h.
typedef MovingImageMaskType::Pointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::MovingImageMaskPointer [inherited] |
Definition at line 151 of file itkOptImageToImageMetric.h.
typedef SpatialObject< itkGetStaticConstMacro(MovingImageDimension) > itk::ImageToImageMetric< TFixedImage, TMovingImage >::MovingImageMaskType [inherited] |
Type for the mask of the moving image. Only pixels that are "inside" this mask will be considered for the computation of the metric
Definition at line 150 of file itkOptImageToImageMetric.h.
typedef SpatialObject< itkGetStaticConstMacro(MovingImageDimension) > itk::ImageToImageMetric< TFixedImage, TMovingImage >::MovingImageMaskType [inherited] |
Type for the mask of the moving image. Only pixels that are "inside" this mask will be considered for the computation of the metric
Definition at line 143 of file itkImageToImageMetric.h.
typedef TMovingImage::PixelType itk::ImageToImageMetric< TFixedImage, TMovingImage >::MovingImagePixelType [inherited] |
Reimplemented in itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 76 of file itkOptImageToImageMetric.h.
typedef TMovingImage::PixelType itk::ImageToImageMetric< TFixedImage, TMovingImage >::MovingImagePixelType [inherited] |
Reimplemented in itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 77 of file itkImageToImageMetric.h.
| typedef TransformType::OutputPointType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::MovingImagePointType |
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 166 of file itkMattesMutualInformationImageToImageMetric.h.
| typedef Superclass::MovingImagePointType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::MovingImagePointType |
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 145 of file itkOptMattesMutualInformationImageToImageMetric.h.
| typedef Superclass::MovingImageType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::MovingImageType |
Type of the moving Image.
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 151 of file itkMattesMutualInformationImageToImageMetric.h.
| typedef Superclass::MovingImageType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::MovingImageType |
Type of the moving Image.
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 144 of file itkOptMattesMutualInformationImageToImageMetric.h.
typedef MultiThreader itk::ImageToImageMetric< TFixedImage, TMovingImage >::MultiThreaderType [inherited] |
Definition at line 335 of file itkOptImageToImageMetric.h.
| typedef FixedImageType::OffsetValueType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::OffsetValueType |
Definition at line 162 of file itkMattesMutualInformationImageToImageMetric.h.
| typedef FixedImageType::OffsetValueType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::OffsetValueType |
Definition at line 161 of file itkOptMattesMutualInformationImageToImageMetric.h.
| typedef Superclass::OutputPointType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::OutputPointType |
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 155 of file itkMattesMutualInformationImageToImageMetric.h.
| typedef Superclass::ParametersType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::ParametersType |
Type of the parameters.
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 142 of file itkOptMattesMutualInformationImageToImageMetric.h.
| typedef Superclass::ParametersType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::ParametersType |
Type of the parameters.
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 149 of file itkMattesMutualInformationImageToImageMetric.h.
typedef double itk::CostFunction::ParametersValueType [inherited] |
ParametersType typedef. It defines a position in the optimization search space.
Definition at line 46 of file itkCostFunction.h.
| typedef SmartPointer<Self> itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::Pointer |
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 133 of file itkMattesMutualInformationImageToImageMetric.h.
| typedef SmartPointer<Self> itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::Pointer |
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 125 of file itkOptMattesMutualInformationImageToImageMetric.h.
typedef NumericTraits<MovingImagePixelType>::RealType itk::ImageToImageMetric< TFixedImage, TMovingImage >::RealType [inherited] |
Gaussian filter to compute the gradient of the Moving Image
Reimplemented in itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::CorrelationCoefficientHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::GradientDifferenceImageToImageMetric< TFixedImage, TMovingImage >, itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::KappaStatisticImageToImageMetric< TFixedImage, TMovingImage >, itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage >, itk::MeanSquaresHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::MeanSquaresImageToImageMetric< TFixedImage, TMovingImage >, itk::MutualInformationHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >, itk::NormalizedMutualInformationHistogramImageToImageMetric< TFixedImage, TMovingImage >, and itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 122 of file itkOptImageToImageMetric.h.
typedef NumericTraits<MovingImagePixelType>::RealType itk::ImageToImageMetric< TFixedImage, TMovingImage >::RealType [inherited] |
Gaussian filter to compute the gradient of the Moving Image
Reimplemented in itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::CorrelationCoefficientHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::GradientDifferenceImageToImageMetric< TFixedImage, TMovingImage >, itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::KappaStatisticImageToImageMetric< TFixedImage, TMovingImage >, itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage >, itk::MeanSquaresHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::MeanSquaresImageToImageMetric< TFixedImage, TMovingImage >, itk::MutualInformationHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >, itk::NormalizedMutualInformationHistogramImageToImageMetric< TFixedImage, TMovingImage >, and itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 114 of file itkImageToImageMetric.h.
| typedef MattesMutualInformationImageToImageMetric itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::Self |
Standard class typedefs.
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 123 of file itkOptMattesMutualInformationImageToImageMetric.h.
| typedef MattesMutualInformationImageToImageMetric itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::Self |
Standard class typedefs.
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 131 of file itkMattesMutualInformationImageToImageMetric.h.
| typedef ImageToImageMetric< TFixedImage, TMovingImage > itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::Superclass |
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 124 of file itkOptMattesMutualInformationImageToImageMetric.h.
| typedef ImageToImageMetric< TFixedImage, TMovingImage > itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::Superclass |
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 132 of file itkMattesMutualInformationImageToImageMetric.h.
| typedef Superclass::TransformJacobianType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::TransformJacobianType |
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 138 of file itkOptMattesMutualInformationImageToImageMetric.h.
| typedef Superclass::TransformJacobianType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::TransformJacobianType |
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 145 of file itkMattesMutualInformationImageToImageMetric.h.
typedef TransformType::ParametersType itk::ImageToImageMetric< TFixedImage, TMovingImage >::TransformParametersType [inherited] |
Reimplemented in itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::CorrelationCoefficientHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::GradientDifferenceImageToImageMetric< TFixedImage, TMovingImage >, itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::KappaStatisticImageToImageMetric< TFixedImage, TMovingImage >, itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage >, itk::MeanReciprocalSquareDifferenceImageToImageMetric< TFixedImage, TMovingImage >, itk::MeanSquaresHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::MeanSquaresImageToImageMetric< TFixedImage, TMovingImage >, itk::MutualInformationHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >, itk::NormalizedMutualInformationHistogramImageToImageMetric< TFixedImage, TMovingImage >, and itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 103 of file itkImageToImageMetric.h.
typedef TransformType::ParametersType itk::ImageToImageMetric< TFixedImage, TMovingImage >::TransformParametersType [inherited] |
Reimplemented in itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::CorrelationCoefficientHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::GradientDifferenceImageToImageMetric< TFixedImage, TMovingImage >, itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::KappaStatisticImageToImageMetric< TFixedImage, TMovingImage >, itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage >, itk::MeanReciprocalSquareDifferenceImageToImageMetric< TFixedImage, TMovingImage >, itk::MeanSquaresHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::MeanSquaresImageToImageMetric< TFixedImage, TMovingImage >, itk::MutualInformationHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >, itk::NormalizedMutualInformationHistogramImageToImageMetric< TFixedImage, TMovingImage >, and itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 103 of file itkOptImageToImageMetric.h.
| typedef Superclass::TransformPointer itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::TransformPointer |
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 137 of file itkOptMattesMutualInformationImageToImageMetric.h.
| typedef Superclass::TransformPointer itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::TransformPointer |
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 144 of file itkMattesMutualInformationImageToImageMetric.h.
| typedef Superclass::TransformType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::TransformType |
Types inherited from Superclass.
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 140 of file itkMattesMutualInformationImageToImageMetric.h.
| typedef Superclass::TransformType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::TransformType |
Types inherited from Superclass.
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 133 of file itkOptMattesMutualInformationImageToImageMetric.h.
| typedef Superclass::WeightsValueType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::WeightsValueType |
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 158 of file itkOptMattesMutualInformationImageToImageMetric.h.
Constructor & Destructor Documentation
| itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::MattesMutualInformationImageToImageMetric | ( | ) | [protected] |
| virtual itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::~MattesMutualInformationImageToImageMetric | ( | ) | [inline, protected, virtual] |
Definition at line 281 of file itkMattesMutualInformationImageToImageMetric.h.
| itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::MattesMutualInformationImageToImageMetric | ( | ) | [protected] |
| virtual itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::~MattesMutualInformationImageToImageMetric | ( | ) | [protected, virtual] |
Member Function Documentation
| unsigned long itk::Object::AddObserver | ( | const EventObject & | event, | |
| Command * | ||||
| ) | [inherited] |
Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects
| unsigned long itk::Object::AddObserver | ( | const EventObject & | event, | |
| Command * | ||||
| ) | const [inherited] |
Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects
| static void itk::LightObject::BreakOnError | ( | ) | [static, inherited] |
This method is called when itkExceptionMacro executes. It allows the debugger to break on error.
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::ComputeGradient | ( | ) | [virtual, inherited] |
Computes the gradient image and assigns it to m_GradientImage
Reimplemented in itk::KappaStatisticImageToImageMetric< TFixedImage, TMovingImage >.
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::ComputeGradient | ( | void | ) | [virtual, inherited] |
Computes the gradient image and assigns it to m_GradientImage
Reimplemented in itk::KappaStatisticImageToImageMetric< TFixedImage, TMovingImage >.
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::ComputeGradientOff | ( | ) | [virtual, inherited] |
Set/Get gradient computation.
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::ComputeGradientOff | ( | ) | [virtual, inherited] |
Set/Get gradient computation.
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::ComputeGradientOn | ( | ) | [virtual, inherited] |
Set/Get gradient computation.
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::ComputeGradientOn | ( | ) | [virtual, inherited] |
Set/Get gradient computation.
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::ComputeImageDerivatives | ( | const MovingImagePointType & | mappedPoint, | |
| ImageDerivativesType & | gradient, | |||
| unsigned int | threadID | |||
| ) | const [protected, virtual, inherited] |
Compute image derivatives at a point.
| virtual LightObject::Pointer itk::Object::CreateAnother | ( | ) | const [virtual, inherited] |
Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.
Reimplemented from itk::LightObject.
Reimplemented in itk::BSplineDeformableTransform< TScalarType, NDimensions, VSplineOrder >, itk::CreateObjectFunction< T >, itk::TransformFactoryBase, itk::AnalyzeImageIOFactory, itk::BioRadImageIOFactory, itk::BMPImageIOFactory, itk::Brains2MaskImageIOFactory, itk::DICOMImageIO2Factory, itk::DicomImageIOFactory, itk::GDCMImageIOFactory, itk::GE4ImageIOFactory, itk::GE5ImageIOFactory, itk::GEAdwImageIOFactory, itk::GiplImageIOFactory, itk::JPEGImageIOFactory, itk::LSMImageIOFactory, itk::MetaImageIOFactory, itk::NiftiImageIOFactory, itk::NrrdImageIOFactory, itk::PNGImageIOFactory, itk::RawImageIOFactory< TPixel, VImageDimension >, itk::SiemensVisionImageIOFactory, itk::StimulateImageIOFactory, itk::TIFFImageIOFactory, itk::VTKImageIOFactory, itk::Bruker2DSEQImageIOFactory, itk::MatlabTransformIOFactory, itk::MINC2ImageIOFactory, itk::MRCImageIOFactory, itk::PhilipsRECImageIOFactory, itk::TxtTransformIOFactory, itk::VoxBoCUBImageIOFactory, itk::VTKImageIO2Factory, and itk::SpatialObjectFactoryBase.
| virtual void itk::Object::DebugOff | ( | ) | const [virtual, inherited] |
Turn debugging output off.
| virtual void itk::Object::DebugOn | ( | ) | const [virtual, inherited] |
Turn debugging output on.
| virtual void itk::LightObject::Delete | ( | ) | [virtual, inherited] |
Delete an itk object. This method should always be used to delete an object when the new operator was used to create it. Using the C delete method will not work with reference counting.
| Command* itk::Object::GetCommand | ( | unsigned long | tag | ) | [inherited] |
Get the command associated with the given tag. NOTE: This returns a pointer to a Command, but it is safe to asign this to a Command::Pointer. Since Command inherits from LightObject, at this point in the code, only a pointer or a reference to the Command can be used.
| virtual const bool& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetComputeGradient | ( | ) | [virtual, inherited] |
Set/Get gradient computation.
| virtual const bool& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetComputeGradient | ( | ) | [virtual, inherited] |
Set/Get gradient computation.
| bool itk::Object::GetDebug | ( | ) | const [inherited] |
Get the value of the debug flag.
| void itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::GetDerivative | ( | const ParametersType & | parameters, | |
| DerivativeType & | Derivative | |||
| ) | const |
Get the derivatives of the match measure.
| virtual void itk::SingleValuedCostFunction::GetDerivative | ( | const ParametersType & | parameters, | |
| DerivativeType & | derivative | |||
| ) | const [pure virtual, inherited] |
This method returns the derivative of the cost function corresponding to the specified parameters.
Implemented in itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >.
| void itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::GetDerivative | ( | const ParametersType & | parameters, | |
| DerivativeType & | Derivative | |||
| ) | const |
Get the derivatives of the match measure.
| virtual const FixedImageType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetFixedImage | ( | ) | [virtual, inherited] |
Get the Fixed Image.
| virtual const FixedImageType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetFixedImage | ( | ) | [virtual, inherited] |
Get the Fixed Image.
| virtual const FixedImageMaskType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetFixedImageMask | ( | ) | [virtual, inherited] |
Set/Get the fixed image mask.
| virtual const FixedImageMaskType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetFixedImageMask | ( | ) | [virtual, inherited] |
Set/Get the fixed image mask.
| virtual const FixedImageRegionType& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetFixedImageRegion | ( | ) | [virtual, inherited] |
Get the region over which the metric will be computed
| virtual const FixedImageRegionType& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetFixedImageRegion | ( | ) | [virtual, inherited] |
Get the region over which the metric will be computed
| virtual const FixedImagePixelType& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetFixedImageSamplesIntensityThreshold | ( | ) | [virtual, inherited] |
Minimum fixed-image intensity needed for a sample to be used in the metric computation
| static bool itk::Object::GetGlobalWarningDisplay | ( | ) | [static, inherited] |
This is a global flag that controls whether any debug, warning or error messages are displayed.
| virtual const GradientImageType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetGradientImage | ( | ) | [virtual, inherited] |
Get Gradient Image.
| virtual const GradientImageType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetGradientImage | ( | ) | [virtual, inherited] |
Get Gradient Image.
| virtual const InterpolatorType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetInterpolator | ( | ) | [virtual, inherited] |
Get a pointer to the Interpolator.
| virtual const InterpolatorType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetInterpolator | ( | ) | [virtual, inherited] |
Get a pointer to the Interpolator.
| MetaDataDictionary& itk::Object::GetMetaDataDictionary | ( | void | ) | [inherited] |
- Returns:
- A reference to this objects MetaDataDictionary.
- Warning:
- This reference may be changed.
| const MetaDataDictionary& itk::Object::GetMetaDataDictionary | ( | void | ) | const [inherited] |
- Returns:
- A constant reference to this objects MetaDataDictionary.
| virtual const MovingImageType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetMovingImage | ( | ) | [virtual, inherited] |
Get the Moving Image.
| virtual const MovingImageType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetMovingImage | ( | ) | [virtual, inherited] |
Get the Moving Image.
| virtual const MovingImageMaskType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetMovingImageMask | ( | ) | [virtual, inherited] |
Set/Get the moving image mask.
| virtual const MovingImageMaskType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetMovingImageMask | ( | ) | [virtual, inherited] |
Set/Get the moving image mask.
| virtual unsigned long itk::Object::GetMTime | ( | ) | const [virtual, inherited] |
Return this objects modified time.
Reimplemented in itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >, itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >, itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >, itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >, itk::DeformationFieldSource< TOutputImage >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::ImageAdaptor< TImage, TAccessor >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, itk::ImageSpatialObject< TDimension, TPixelType >, itk::MeshSpatialObject< TMesh >, itk::SceneSpatialObject< TSpaceDimension >, itk::SpatialObject< TDimension >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageSpatialObject< TDimension, unsigned char >, itk::SpatialObject< 3 >, and itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >.
Referenced by itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >::GetObjectMTime().
| virtual const char* itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::GetNameOfClass | ( | ) | const [virtual] |
Run-time type information (and related methods).
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
| virtual const char* itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::GetNameOfClass | ( | ) | const [virtual] |
Run-time type information (and related methods).
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
| virtual const unsigned long& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetNumberOfFixedImageSamples | ( | ) | [virtual, inherited] |
Number of spatial samples to used to compute metric This sets the number of samples.
| virtual const unsigned long& itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::GetNumberOfHistogramBins | ( | ) | [virtual] |
Number of bins to used in the histogram. Typical value is 50. The minimum value is 5 due to the padding required by the Parzen windowing with a cubic-BSpline kernel. Note that even if the metric is used on binary images, the number of bins should at least be equal to five.
| virtual const unsigned long& itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::GetNumberOfHistogramBins | ( | ) | [virtual] |
Number of bins to used in the histogram. Typical value is 50. The minimum value is 5 due to the padding required by the Parzen windowing with a cubic-BSpline kernel. Note that even if the metric is used on binary images, the number of bins should at least be equal to five.
| unsigned long itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetNumberOfMovingImageSamples | ( | void | ) | [inline, inherited] |
Get the number of pixels considered in the computation.
Definition at line 189 of file itkOptImageToImageMetric.h.
| unsigned int itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetNumberOfParameters | ( | void | ) | const [inline, virtual, inherited] |
Return the number of parameters required by the Transform
Implements itk::CostFunction.
Reimplemented in itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >, and itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 228 of file itkImageToImageMetric.h.
| unsigned int itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetNumberOfParameters | ( | void | ) | const [inline, virtual, inherited] |
Return the number of parameters required by the Transform
Implements itk::CostFunction.
Reimplemented in itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >, and itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 242 of file itkOptImageToImageMetric.h.
| virtual const unsigned long& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetNumberOfPixelsCounted | ( | ) | [virtual, inherited] |
Get the number of pixels considered in the computation.
| virtual const unsigned long& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetNumberOfPixelsCounted | ( | ) | [virtual, inherited] |
Get the number of pixels considered in the computation.
| virtual const unsigned long& itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::GetNumberOfSpatialSamples | ( | ) | [virtual] |
Number of spatial samples to used to compute metric
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
| virtual const unsigned int& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetNumberOfThreads | ( | ) | [virtual, inherited] |
Set/Get number of threads to use for computations.
Reimplemented in itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage >.
| virtual int itk::LightObject::GetReferenceCount | ( | ) | const [inline, virtual, inherited] |
Gets the reference count on this object.
Definition at line 106 of file itkLightObject.h.
| virtual const MultiThreaderType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetThreader | ( | ) | [virtual, inherited] |
Get the Threader.
| const TransformPointer* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetThreaderTransform | ( | ) | [inline, inherited] |
Get the Threader.
Definition at line 341 of file itkOptImageToImageMetric.h.
| virtual const TransformType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetTransform | ( | ) | [virtual, inherited] |
Get a pointer to the Transform.
| virtual const TransformType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetTransform | ( | ) | [virtual, inherited] |
Get a pointer to the Transform.
| virtual const bool& itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::GetUseAllPixels | ( | ) | [virtual] |
Select whether the metric will be computed using all the pixels on the fixed image region, or only using a set of randomly selected pixels.
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
| virtual const bool& itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::GetUseCachingOfBSplineWeights | ( | ) | [virtual] |
This boolean flag is only relevant when this metric is used along with a BSplineDeformableTransform. The flag enables/disables the caching of values computed when a physical point is mapped through the BSplineDeformableTransform. In particular it will cache the values of the BSpline weights for that points, and the indexes indicating what BSpline-grid nodes are relevant for that specific point. This caching is made optional due to the fact that the memory arrays used for the caching can reach large sizes even for moderate image size problems. For example, for a 3D image of 256^3, using 20% of pixels, these arrays will take about 1 Gigabyte of RAM for storage. The ratio of computing time between using the cache or not using the cache can reach 1:5, meaning that using the caching can provide a five times speed up. It is therefore, interesting to enable the caching, if enough memory is available for it. The caching is enabled by default, in order to preserve backward compatibility with previous versions of ITK.
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
| virtual const bool& itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::GetUseExplicitPDFDerivatives | ( | ) | [virtual] |
This variable selects the method to be used for computing the Metric derivatives with respect to the Transform parameters. Two modes of computation are available. The choice between one and the other is a trade-off between computation speed and memory allocations. The two modes are described in detail below:
UseExplicitPDFDerivatives = True will compute the Metric derivative by first calculating the derivatives of each one of the Joint PDF bins with respect to each one of the Transform parameters and then accumulating these contributions in the final metric derivative array by using a bin-specific weight. The memory required for storing the intermediate derivatives is a 3D array of doubles with size equals to the product of (number of histogram bins)^2 times number of transform parameters. This method is well suited for Transform with a small number of parameters.
UseExplicitPDFDerivatives = False will compute the Metric derivative by first computing the weights for each one of the Joint PDF bins and caching them into an array. Then it will revisit each one of the PDF bins for computing its weighted contribution to the full derivative array. In this method an extra 2D array is used for storing the weights of each one of the PDF bins. This is an array of doubles with size equals to (number of histogram bins)^2. This method is well suited for Transforms with a large number of parameters, such as, BSplineDeformableTransforms.
| virtual const bool& itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::GetUseExplicitPDFDerivatives | ( | ) | [virtual] |
This variable selects the method to be used for computing the Metric derivatives with respect to the Transform parameters. Two modes of computation are available. The choice between one and the other is a trade-off between computation speed and memory allocations. The two modes are described in detail below:
UseExplicitPDFDerivatives = True will compute the Metric derivative by first calculating the derivatives of each one of the Joint PDF bins with respect to each one of the Transform parameters and then accumulating these contributions in the final metric derivative array by using a bin-specific weight. The memory required for storing the intermediate derivatives is a 3D array of doubles with size equals to the product of (number of histogram bins)^2 times number of transform parameters. This method is well suited for Transform with a small number of parameters.
UseExplicitPDFDerivatives = False will compute the Metric derivative by first computing the weights for each one of the Joint PDF bins and caching them into an array. Then it will revisit each one of the PDF bins for computing its weighted contribution to the full derivative array. In this method an extra 2D array is used for storing the weights of each one of the PDF bins. This is an array of doubles with size equals to (number of histogram bins)^2. This method is well suited for Transforms with a large number of parameters, such as, BSplineDeformableTransforms.
| virtual const bool& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetUseFixedImageIndexes | ( | ) | [virtual, inherited] |
Set the fixed image indexes to be used as the samples when computing the match metric
| virtual const bool& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetUseFixedImageSamplesIntensityThreshold | ( | ) | [virtual, inherited] |
| virtual const bool& itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetUseSequentialSampling | ( | ) | [virtual, inherited] |
If set to true, then every pixel in the fixed image will be scanned to determine if it should be used in registration metric computation. A pixel will be chosen if it meets any mask or threshold limits set. If set to false, then UseAllPixels will be set to false.
| MeasureType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::GetValue | ( | const ParametersType & | parameters | ) | const |
Get the value.
| virtual MeasureType itk::SingleValuedCostFunction::GetValue | ( | const ParametersType & | parameters | ) | const [pure virtual, inherited] |
This method returns the value of the cost function corresponding to the specified parameters.
Implemented in itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >.
| MeasureType itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::GetValue | ( | const ParametersType & | parameters | ) | const |
Get the value.
| virtual void itk::SingleValuedCostFunction::GetValueAndDerivative | ( | const ParametersType & | parameters, | |
| MeasureType & | value, | |||
| DerivativeType & | derivative | |||
| ) | const [inline, virtual, inherited] |
This method returns the value and derivative of the cost function corresponding to the specified parameters
Definition at line 71 of file itkSingleValuedCostFunction.h.
| void itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivative | ( | const ParametersType & | parameters, | |
| MeasureType & | Value, | |||
| DerivativeType & | Derivative | |||
| ) | const |
Get the value and derivatives for single valued optimizers.
| void itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivative | ( | const ParametersType & | parameters, | |
| MeasureType & | Value, | |||
| DerivativeType & | Derivative | |||
| ) | const |
Get the value and derivatives for single valued optimizers.
| static ITK_THREAD_RETURN_TYPE itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivativeMultiThreaded | ( | void * | arg | ) | [static, protected, inherited] |
| void itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivativeMultiThreadedInitiate | ( | void | ) | const [protected, inherited] |
| static ITK_THREAD_RETURN_TYPE itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivativeMultiThreadedPostProcess | ( | void * | arg | ) | [static, protected, inherited] |
| void itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivativeMultiThreadedPostProcessInitiate | ( | void | ) | const [protected, inherited] |
| static ITK_THREAD_RETURN_TYPE itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivativeMultiThreadedPreProcess | ( | void * | arg | ) | [static, protected, inherited] |
| void itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivativeMultiThreadedPreProcessInitiate | ( | void | ) | const [protected, inherited] |
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueAndDerivativeThread | ( | unsigned int | threadID | ) | const [inline, protected, virtual, inherited] |
| static ITK_THREAD_RETURN_TYPE itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueMultiThreaded | ( | void * | arg | ) | [static, protected, inherited] |
| void itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueMultiThreadedInitiate | ( | void | ) | const [protected, inherited] |
| static ITK_THREAD_RETURN_TYPE itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueMultiThreadedPostProcess | ( | void * | arg | ) | [static, protected, inherited] |
| void itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueMultiThreadedPostProcessInitiate | ( | void | ) | const [protected, inherited] |
| static ITK_THREAD_RETURN_TYPE itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueMultiThreadedPreProcess | ( | void * | arg | ) | [static, protected, inherited] |
| void itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueMultiThreadedPreProcessInitiate | ( | void | ) | const [protected, inherited] |
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::GetValueThread | ( | unsigned int | threadID | ) | const [inline, protected, virtual, inherited] |
| static void itk::Object::GlobalWarningDisplayOff | ( | ) | [inline, static, inherited] |
This is a global flag that controls whether any debug, warning or error messages are displayed.
Definition at line 100 of file itkObject.h.
References itk::Object::SetGlobalWarningDisplay().
| static void itk::Object::GlobalWarningDisplayOn | ( | ) | [inline, static, inherited] |
This is a global flag that controls whether any debug, warning or error messages are displayed.
Definition at line 98 of file itkObject.h.
References itk::Object::SetGlobalWarningDisplay().
| bool itk::Object::HasObserver | ( | const EventObject & | event | ) | const [inherited] |
Return true if an observer is registered for this event.
| virtual void itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::Initialize | ( | void | ) | throw ( ExceptionObject ) [virtual] |
Initialize the Metric by (1) making sure that all the components are present and plugged together correctly, (2) uniformly select NumberOfSpatialSamples within the FixedImageRegion, and (3) allocate memory for pdf data structures.
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
| virtual void itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::Initialize | ( | void | ) | throw ( ExceptionObject ) [virtual] |
Initialize the Metric by (1) making sure that all the components are present and plugged together correctly, (2) uniformly select NumberOfSpatialSamples within the FixedImageRegion, and (3) allocate memory for pdf data structures.
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
| void itk::Object::InvokeEvent | ( | const EventObject & | ) | const [inherited] |
Call Execute on all the Commands observing this event id. The actions triggered by this call doesn't modify this object.
| void itk::Object::InvokeEvent | ( | const EventObject & | ) | [inherited] |
Call Execute on all the Commands observing this event id.
| virtual void itk::Object::Modified | ( | ) | const [virtual, inherited] |
Update the modification time for this object. Many filters rely on the modification time to determine if they need to recompute their data.
Reimplemented in itk::NormalizeImageFilter< TInputImage, TOutputImage >, itk::ImageAdaptor< TImage, TAccessor >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, and itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >.
Referenced by itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandTotalRadius(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::MultiThreadingInitialize | ( | void | ) | throw ( ExceptionObject ) [virtual, inherited] |
Initialize the components related to supporting multiple threads
| static Pointer itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::New | ( | ) | [static] |
Method for creation through the object factory.
Reimplemented from itk::Object.
| static Pointer itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::New | ( | ) | [static] |
Method for creation through the object factory.
Reimplemented from itk::Object.
| void itk::LightObject::Print | ( | std::ostream & | os, | |
| Indent | indent = 0 | |||
| ) | const [inherited] |
Cause the object to print itself out.
Referenced by itk::WeakPointer< ProcessObject >::Print().
| virtual void itk::LightObject::PrintHeader | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, virtual, inherited] |
| bool itk::Object::PrintObservers | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, inherited] |
| void itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::PrintSelf | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, virtual] |
Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
| void itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::PrintSelf | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, virtual] |
Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
| virtual void itk::LightObject::PrintTrailer | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, virtual, inherited] |
| virtual void itk::Object::Register | ( | ) | const [virtual, inherited] |
Increase the reference count (mark as used by another object).
Reimplemented from itk::LightObject.
| void itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::ReinitializeSeed | ( | ) |
Reinitialize the seed of the random number generator that selects the sample of pixels used for estimating the image histograms and the joint histogram. By nature, this metric is not deterministic, since at each run it may select a different set of pixels. By initializing the random number generator seed to the same value you can restore determinism. On the other hand, calling the method ReinitializeSeed() without arguments will use the clock from your machine in order to have a very random initialization of the seed. This will indeed increase the non-deterministic behavior of the metric.
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
| void itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::ReinitializeSeed | ( | int | ) |
Reinitialize the seed of the random number generator that selects the sample of pixels used for estimating the image histograms and the joint histogram. By nature, this metric is not deterministic, since at each run it may select a different set of pixels. By initializing the random number generator seed to the same value you can restore determinism. On the other hand, calling the method ReinitializeSeed() without arguments will use the clock from your machine in order to have a very random initialization of the seed. This will indeed increase the non-deterministic behavior of the metric.
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
| void itk::Object::RemoveAllObservers | ( | ) | [inherited] |
Remove all observers .
| void itk::Object::RemoveObserver | ( | unsigned long | tag | ) | [inherited] |
Remove the observer with this tag value.
| virtual void itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::SampleFixedImageDomain | ( | FixedImageSpatialSampleContainer & | samples | ) | [protected, virtual] |
Uniformly select a sample set from the fixed image domain.
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SampleFixedImageIndexes | ( | FixedImageSampleContainer & | samples | ) | const [protected, virtual, inherited] |
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SampleFixedImageRegion | ( | FixedImageSampleContainer & | samples | ) | const [protected, virtual, inherited] |
Uniformly select a sample set from the fixed image domain.
| virtual void itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::SampleFullFixedImageDomain | ( | FixedImageSpatialSampleContainer & | samples | ) | [protected, virtual] |
Gather all the pixels from the fixed image domain.
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SampleFullFixedImageRegion | ( | FixedImageSampleContainer & | samples | ) | const [protected, virtual, inherited] |
Gather all the pixels from the fixed image domain.
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetComputeGradient | ( | bool | _arg | ) | [virtual, inherited] |
Set/Get gradient computation.
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetComputeGradient | ( | bool | _arg | ) | [virtual, inherited] |
Set/Get gradient computation.
| void itk::Object::SetDebug | ( | bool | debugFlag | ) | const [inherited] |
Set the value of the debug flag. A non-zero value turns debugging on.
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetFixedImage | ( | const FixedImageType * | _arg | ) | [virtual, inherited] |
Connect the Fixed Image.
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetFixedImage | ( | const FixedImageType * | _arg | ) | [virtual, inherited] |
Connect the Fixed Image.
| void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetFixedImageIndexes | ( | const FixedImageIndexContainer & | indexes | ) | [inherited] |
Set the fixed image indexes to be used as the samples when computing the match metric
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetFixedImageMask | ( | FixedImageMaskType * | _arg | ) | [virtual, inherited] |
Set/Get the fixed image mask.
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetFixedImageMask | ( | const FixedImageMaskType * | mask | ) | [inline, virtual, inherited] |
Set/Get the fixed image mask.
Definition at line 206 of file itkImageToImageMetric.h.
References itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetFixedImageMask().
Referenced by itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetFixedImageMask().
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetFixedImageMask | ( | const FixedImageMaskType * | _arg | ) | [virtual, inherited] |
Set/Get the fixed image mask.
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetFixedImageMask | ( | FixedImageMaskType * | _arg | ) | [virtual, inherited] |
Set/Get the fixed image mask.
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetFixedImageRegion | ( | FixedImageRegionType | _arg | ) | [virtual, inherited] |
Set the region over which the metric will be computed
| void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetFixedImageRegion | ( | const FixedImageRegionType | reg | ) | [inherited] |
Set the region over which the metric will be computed
| void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetFixedImageSamplesIntensityThreshold | ( | const FixedImagePixelType & | thresh | ) | [inherited] |
Minimum fixed-image intensity needed for a sample to be used in the metric computation
| static void itk::Object::SetGlobalWarningDisplay | ( | bool | flag | ) | [static, inherited] |
This is a global flag that controls whether any debug, warning or error messages are displayed.
Referenced by itk::Object::GlobalWarningDisplayOff(), and itk::Object::GlobalWarningDisplayOn().
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetInterpolator | ( | InterpolatorType * | _arg | ) | [virtual, inherited] |
Connect the Interpolator.
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetInterpolator | ( | InterpolatorType * | _arg | ) | [virtual, inherited] |
Connect the Interpolator.
| void itk::Object::SetMetaDataDictionary | ( | const MetaDataDictionary & | rhs | ) | [inherited] |
- Returns:
- Set the MetaDataDictionary
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetMovingImage | ( | const MovingImageType * | _arg | ) | [virtual, inherited] |
Connect the Moving Image.
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetMovingImage | ( | const MovingImageType * | _arg | ) | [virtual, inherited] |
Connect the Moving Image.
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetMovingImageMask | ( | MovingImageMaskType * | _arg | ) | [virtual, inherited] |
Set/Get the moving image mask.
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetMovingImageMask | ( | MovingImageMaskType * | _arg | ) | [virtual, inherited] |
Set/Get the moving image mask.
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetMovingImageMask | ( | const MovingImageMaskType * | _arg | ) | [virtual, inherited] |
Set/Get the moving image mask.
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetMovingImageMask | ( | const MovingImageMaskType * | mask | ) | [inline, virtual, inherited] |
Set/Get the moving image mask.
Definition at line 195 of file itkImageToImageMetric.h.
References itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetMovingImageMask().
Referenced by itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetMovingImageMask().
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetNumberOfFixedImageSamples | ( | unsigned long | numSamples | ) | [virtual, inherited] |
Number of spatial samples to used to compute metric This sets the number of samples.
| virtual void itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::SetNumberOfHistogramBins | ( | unsigned long | _arg | ) | [virtual] |
Number of bins to used in the histogram. Typical value is 50. The minimum value is 5 due to the padding required by the Parzen windowing with a cubic-BSpline kernel. Note that even if the metric is used on binary images, the number of bins should at least be equal to five.
| virtual void itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::SetNumberOfHistogramBins | ( | unsigned long | _arg | ) | [virtual] |
Number of bins to used in the histogram. Typical value is 50. The minimum value is 5 due to the padding required by the Parzen windowing with a cubic-BSpline kernel. Note that even if the metric is used on binary images, the number of bins should at least be equal to five.
| virtual void itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::SetNumberOfSpatialSamples | ( | unsigned long | _arg | ) | [virtual] |
Number of spatial samples to used to compute metric
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
| void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetNumberOfThreads | ( | unsigned int | numberOfThreads | ) | [inherited] |
Set/Get number of threads to use for computations.
| virtual void itk::Object::SetReferenceCount | ( | int | ) | [virtual, inherited] |
Sets the reference count (use with care)
Reimplemented from itk::LightObject.
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetTransform | ( | TransformType * | _arg | ) | [virtual, inherited] |
Connect the Transform.
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetTransform | ( | TransformType * | _arg | ) | [virtual, inherited] |
Connect the Transform.
| void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetTransformParameters | ( | const ParametersType & | parameters | ) | const [inherited] |
Set the parameters defining the Transform.
| void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetTransformParameters | ( | const ParametersType & | parameters | ) | const [inherited] |
Set the parameters defining the Transform.
| virtual void itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::SetUseAllPixels | ( | bool | _arg | ) | [virtual] |
Select whether the metric will be computed using all the pixels on the fixed image region, or only using a set of randomly selected pixels.
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
| virtual void itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::SetUseCachingOfBSplineWeights | ( | bool | _arg | ) | [virtual] |
This boolean flag is only relevant when this metric is used along with a BSplineDeformableTransform. The flag enables/disables the caching of values computed when a physical point is mapped through the BSplineDeformableTransform. In particular it will cache the values of the BSpline weights for that points, and the indexes indicating what BSpline-grid nodes are relevant for that specific point. This caching is made optional due to the fact that the memory arrays used for the caching can reach large sizes even for moderate image size problems. For example, for a 3D image of 256^3, using 20% of pixels, these arrays will take about 1 Gigabyte of RAM for storage. The ratio of computing time between using the cache or not using the cache can reach 1:5, meaning that using the caching can provide a five times speed up. It is therefore, interesting to enable the caching, if enough memory is available for it. The caching is enabled by default, in order to preserve backward compatibility with previous versions of ITK.
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
| virtual void itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::SetUseExplicitPDFDerivatives | ( | bool | _arg | ) | [virtual] |
This variable selects the method to be used for computing the Metric derivatives with respect to the Transform parameters. Two modes of computation are available. The choice between one and the other is a trade-off between computation speed and memory allocations. The two modes are described in detail below:
UseExplicitPDFDerivatives = True will compute the Metric derivative by first calculating the derivatives of each one of the Joint PDF bins with respect to each one of the Transform parameters and then accumulating these contributions in the final metric derivative array by using a bin-specific weight. The memory required for storing the intermediate derivatives is a 3D array of doubles with size equals to the product of (number of histogram bins)^2 times number of transform parameters. This method is well suited for Transform with a small number of parameters.
UseExplicitPDFDerivatives = False will compute the Metric derivative by first computing the weights for each one of the Joint PDF bins and caching them into an array. Then it will revisit each one of the PDF bins for computing its weighted contribution to the full derivative array. In this method an extra 2D array is used for storing the weights of each one of the PDF bins. This is an array of doubles with size equals to (number of histogram bins)^2. This method is well suited for Transforms with a large number of parameters, such as, BSplineDeformableTransforms.
| virtual void itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::SetUseExplicitPDFDerivatives | ( | bool | _arg | ) | [virtual] |
This variable selects the method to be used for computing the Metric derivatives with respect to the Transform parameters. Two modes of computation are available. The choice between one and the other is a trade-off between computation speed and memory allocations. The two modes are described in detail below:
UseExplicitPDFDerivatives = True will compute the Metric derivative by first calculating the derivatives of each one of the Joint PDF bins with respect to each one of the Transform parameters and then accumulating these contributions in the final metric derivative array by using a bin-specific weight. The memory required for storing the intermediate derivatives is a 3D array of doubles with size equals to the product of (number of histogram bins)^2 times number of transform parameters. This method is well suited for Transform with a small number of parameters.
UseExplicitPDFDerivatives = False will compute the Metric derivative by first computing the weights for each one of the Joint PDF bins and caching them into an array. Then it will revisit each one of the PDF bins for computing its weighted contribution to the full derivative array. In this method an extra 2D array is used for storing the weights of each one of the PDF bins. This is an array of doubles with size equals to (number of histogram bins)^2. This method is well suited for Transforms with a large number of parameters, such as, BSplineDeformableTransforms.
| void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetUseFixedImageIndexes | ( | bool | useIndex | ) | [inherited] |
Set the fixed image indexes to be used as the samples when computing the match metric
| void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetUseFixedImageSamplesIntensityThreshold | ( | bool | useThresh | ) | [inherited] |
| void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SetUseSequentialSampling | ( | bool | sequentialSampling | ) | [inherited] |
If set to true, then every pixel in the fixed image will be scanned to determine if it should be used in registration metric computation. A pixel will be chosen if it meets any mask or threshold limits set. If set to false, then UseAllPixels will be set to false.
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::SynchronizeTransforms | ( | ) | const [protected, virtual, inherited] |
Synchronizes the threader transforms with the transform member variable.
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::TransformPoint | ( | unsigned int | sampleNumber, | |
| MovingImagePointType & | mappedPoint, | |||
| bool & | sampleWithinSupportRegion, | |||
| double & | movingImageValue, | |||
| unsigned int | threadID | |||
| ) | const [protected, virtual, inherited] |
Transform a point from FixedImage domain to MovingImage domain. This function also checks if mapped point is within support region.
| virtual void itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::TransformPoint | ( | unsigned int | sampleNumber, | |
| const ParametersType & | parameters, | |||
| MovingImagePointType & | mappedPoint, | |||
| bool & | sampleWithinSupportRegion, | |||
| double & | movingImageValue | |||
| ) | const [protected, virtual] |
Transform a point from FixedImage domain to MovingImage domain. This function also checks if mapped point is within support region.
| virtual void itk::ImageToImageMetric< TFixedImage, TMovingImage >::TransformPointWithDerivatives | ( | unsigned int | sampleNumber, | |
| MovingImagePointType & | mappedPoint, | |||
| bool & | sampleWithinSupportRegion, | |||
| double & | movingImageValue, | |||
| ImageDerivativesType & | gradient, | |||
| unsigned int | threadID | |||
| ) | const [protected, virtual, inherited] |
| virtual void itk::Object::UnRegister | ( | ) | const [virtual, inherited] |
Decrease the reference count (release by another object).
Reimplemented from itk::LightObject.
| virtual void itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::UseAllPixelsOff | ( | ) | [virtual] |
Select whether the metric will be computed using all the pixels on the fixed image region, or only using a set of randomly selected pixels.
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
| virtual void itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::UseAllPixelsOn | ( | ) | [virtual] |
Select whether the metric will be computed using all the pixels on the fixed image region, or only using a set of randomly selected pixels.
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
| virtual void itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::UseCachingOfBSplineWeightsOff | ( | ) | [virtual] |
This boolean flag is only relevant when this metric is used along with a BSplineDeformableTransform. The flag enables/disables the caching of values computed when a physical point is mapped through the BSplineDeformableTransform. In particular it will cache the values of the BSpline weights for that points, and the indexes indicating what BSpline-grid nodes are relevant for that specific point. This caching is made optional due to the fact that the memory arrays used for the caching can reach large sizes even for moderate image size problems. For example, for a 3D image of 256^3, using 20% of pixels, these arrays will take about 1 Gigabyte of RAM for storage. The ratio of computing time between using the cache or not using the cache can reach 1:5, meaning that using the caching can provide a five times speed up. It is therefore, interesting to enable the caching, if enough memory is available for it. The caching is enabled by default, in order to preserve backward compatibility with previous versions of ITK.
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
| virtual void itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::UseCachingOfBSplineWeightsOn | ( | ) | [virtual] |
This boolean flag is only relevant when this metric is used along with a BSplineDeformableTransform. The flag enables/disables the caching of values computed when a physical point is mapped through the BSplineDeformableTransform. In particular it will cache the values of the BSpline weights for that points, and the indexes indicating what BSpline-grid nodes are relevant for that specific point. This caching is made optional due to the fact that the memory arrays used for the caching can reach large sizes even for moderate image size problems. For example, for a 3D image of 256^3, using 20% of pixels, these arrays will take about 1 Gigabyte of RAM for storage. The ratio of computing time between using the cache or not using the cache can reach 1:5, meaning that using the caching can provide a five times speed up. It is therefore, interesting to enable the caching, if enough memory is available for it. The caching is enabled by default, in order to preserve backward compatibility with previous versions of ITK.
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
| virtual void itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::UseExplicitPDFDerivativesOff | ( | ) | [virtual] |
This variable selects the method to be used for computing the Metric derivatives with respect to the Transform parameters. Two modes of computation are available. The choice between one and the other is a trade-off between computation speed and memory allocations. The two modes are described in detail below:
UseExplicitPDFDerivatives = True will compute the Metric derivative by first calculating the derivatives of each one of the Joint PDF bins with respect to each one of the Transform parameters and then accumulating these contributions in the final metric derivative array by using a bin-specific weight. The memory required for storing the intermediate derivatives is a 3D array of doubles with size equals to the product of (number of histogram bins)^2 times number of transform parameters. This method is well suited for Transform with a small number of parameters.
UseExplicitPDFDerivatives = False will compute the Metric derivative by first computing the weights for each one of the Joint PDF bins and caching them into an array. Then it will revisit each one of the PDF bins for computing its weighted contribution to the full derivative array. In this method an extra 2D array is used for storing the weights of each one of the PDF bins. This is an array of doubles with size equals to (number of histogram bins)^2. This method is well suited for Transforms with a large number of parameters, such as, BSplineDeformableTransforms.
| virtual void itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::UseExplicitPDFDerivativesOff | ( | ) | [virtual] |
This variable selects the method to be used for computing the Metric derivatives with respect to the Transform parameters. Two modes of computation are available. The choice between one and the other is a trade-off between computation speed and memory allocations. The two modes are described in detail below:
UseExplicitPDFDerivatives = True will compute the Metric derivative by first calculating the derivatives of each one of the Joint PDF bins with respect to each one of the Transform parameters and then accumulating these contributions in the final metric derivative array by using a bin-specific weight. The memory required for storing the intermediate derivatives is a 3D array of doubles with size equals to the product of (number of histogram bins)^2 times number of transform parameters. This method is well suited for Transform with a small number of parameters.
UseExplicitPDFDerivatives = False will compute the Metric derivative by first computing the weights for each one of the Joint PDF bins and caching them into an array. Then it will revisit each one of the PDF bins for computing its weighted contribution to the full derivative array. In this method an extra 2D array is used for storing the weights of each one of the PDF bins. This is an array of doubles with size equals to (number of histogram bins)^2. This method is well suited for Transforms with a large number of parameters, such as, BSplineDeformableTransforms.
| virtual void itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::UseExplicitPDFDerivativesOn | ( | ) | [virtual] |
This variable selects the method to be used for computing the Metric derivatives with respect to the Transform parameters. Two modes of computation are available. The choice between one and the other is a trade-off between computation speed and memory allocations. The two modes are described in detail below:
UseExplicitPDFDerivatives = True will compute the Metric derivative by first calculating the derivatives of each one of the Joint PDF bins with respect to each one of the Transform parameters and then accumulating these contributions in the final metric derivative array by using a bin-specific weight. The memory required for storing the intermediate derivatives is a 3D array of doubles with size equals to the product of (number of histogram bins)^2 times number of transform parameters. This method is well suited for Transform with a small number of parameters.
UseExplicitPDFDerivatives = False will compute the Metric derivative by first computing the weights for each one of the Joint PDF bins and caching them into an array. Then it will revisit each one of the PDF bins for computing its weighted contribution to the full derivative array. In this method an extra 2D array is used for storing the weights of each one of the PDF bins. This is an array of doubles with size equals to (number of histogram bins)^2. This method is well suited for Transforms with a large number of parameters, such as, BSplineDeformableTransforms.
| virtual void itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::UseExplicitPDFDerivativesOn | ( | ) | [virtual] |
This variable selects the method to be used for computing the Metric derivatives with respect to the Transform parameters. Two modes of computation are available. The choice between one and the other is a trade-off between computation speed and memory allocations. The two modes are described in detail below:
UseExplicitPDFDerivatives = True will compute the Metric derivative by first calculating the derivatives of each one of the Joint PDF bins with respect to each one of the Transform parameters and then accumulating these contributions in the final metric derivative array by using a bin-specific weight. The memory required for storing the intermediate derivatives is a 3D array of doubles with size equals to the product of (number of histogram bins)^2 times number of transform parameters. This method is well suited for Transform with a small number of parameters.
UseExplicitPDFDerivatives = False will compute the Metric derivative by first computing the weights for each one of the Joint PDF bins and caching them into an array. Then it will revisit each one of the PDF bins for computing its weighted contribution to the full derivative array. In this method an extra 2D array is used for storing the weights of each one of the PDF bins. This is an array of doubles with size equals to (number of histogram bins)^2. This method is well suited for Transforms with a large number of parameters, such as, BSplineDeformableTransforms.
Member Data Documentation
BSplineParametersOffsetType itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_BSplineParametersOffset [protected, inherited] |
Definition at line 491 of file itkOptImageToImageMetric.h.
MovingImagePointArrayType itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_BSplinePreTransformPointsArray [protected, inherited] |
Definition at line 488 of file itkOptImageToImageMetric.h.
BSplineTransformIndexArrayType itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_BSplineTransformIndices [mutable, protected, inherited] |
Definition at line 496 of file itkOptImageToImageMetric.h.
BSplineTransformWeightsType itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_BSplineTransformWeights [mutable, protected, inherited] |
Definition at line 495 of file itkOptImageToImageMetric.h.
bool itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_ComputeGradient [protected, inherited] |
Definition at line 248 of file itkImageToImageMetric.h.
FixedImageConstPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_FixedImage [protected, inherited] |
Definition at line 242 of file itkImageToImageMetric.h.
FixedImageIndexContainer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_FixedImageIndexes [protected, inherited] |
Definition at line 376 of file itkOptImageToImageMetric.h.
FixedImageMaskPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_FixedImageMask [mutable, protected, inherited] |
Definition at line 255 of file itkImageToImageMetric.h.
FixedImageMaskConstPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_FixedImageMask [protected, inherited] |
Definition at line 421 of file itkOptImageToImageMetric.h.
FixedImageSpatialSampleContainer itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::m_FixedImageSamples [protected] |
Container to store a set of points and fixed image values.
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 306 of file itkMattesMutualInformationImageToImageMetric.h.
FixedImagePixelType itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_FixedImageSamplesIntensityThreshold [protected, inherited] |
Definition at line 379 of file itkOptImageToImageMetric.h.
GradientImagePointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_GradientImage [protected, inherited] |
Definition at line 249 of file itkImageToImageMetric.h.
InterpolatorPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_Interpolator [protected, inherited] |
Definition at line 246 of file itkImageToImageMetric.h.
MovingImageConstPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_MovingImage [protected, inherited] |
Definition at line 243 of file itkImageToImageMetric.h.
MovingImageMaskPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_MovingImageMask [mutable, protected, inherited] |
Definition at line 256 of file itkImageToImageMetric.h.
MovingImageMaskConstPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_MovingImageMask [protected, inherited] |
Definition at line 422 of file itkOptImageToImageMetric.h.
unsigned long itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_NumberOfFixedImageSamples [protected, inherited] |
Definition at line 400 of file itkOptImageToImageMetric.h.
unsigned long itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_NumberOfPixelsCounted [mutable, protected, inherited] |
Definition at line 240 of file itkImageToImageMetric.h.
unsigned int itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_NumberOfThreads [protected, inherited] |
Definition at line 424 of file itkOptImageToImageMetric.h.
ParametersType itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_Parameters [mutable, protected, inherited] |
Definition at line 398 of file itkOptImageToImageMetric.h.
InternalReferenceCountType itk::LightObject::m_ReferenceCount [mutable, protected, inherited] |
Number of uses of this object by other objects.
Definition at line 144 of file itkLightObject.h.
SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock [mutable, protected, inherited] |
Mutex lock to protect modification to the reference count
Definition at line 147 of file itkLightObject.h.
MultiThreaderType::Pointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_Threader [protected, inherited] |
Definition at line 542 of file itkOptImageToImageMetric.h.
BSplineTransformIndexArrayType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_ThreaderBSplineTransformIndices [mutable, protected, inherited] |
Definition at line 499 of file itkOptImageToImageMetric.h.
BSplineTransformWeightsType* itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_ThreaderBSplineTransformWeights [mutable, protected, inherited] |
Definition at line 498 of file itkOptImageToImageMetric.h.
unsigned int* itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_ThreaderNumberOfMovingImageSamples [mutable, protected, inherited] |
Definition at line 544 of file itkOptImageToImageMetric.h.
MultiThreaderParameterType itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_ThreaderParameter [protected, inherited] |
Definition at line 543 of file itkOptImageToImageMetric.h.
TransformPointer* itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_ThreaderTransform [protected, inherited] |
Copies of Transform helpers per thread (N-1 of them, since m_Transform will do the work for thread=0.
Definition at line 414 of file itkOptImageToImageMetric.h.
TransformPointer itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_Transform [mutable, protected, inherited] |
Main transform to be used in thread = 0
Definition at line 245 of file itkImageToImageMetric.h.
bool itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_UseFixedImageIndexes [protected, inherited] |
Definition at line 375 of file itkOptImageToImageMetric.h.
bool itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_UseFixedImageSamplesIntensityThreshold [protected, inherited] |
Definition at line 378 of file itkOptImageToImageMetric.h.
bool itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_UseSequentialSampling [protected, inherited] |
Definition at line 427 of file itkOptImageToImageMetric.h.
BooleanArrayType itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_WithinBSplineSupportRegionArray [protected, inherited] |
Definition at line 489 of file itkOptImageToImageMetric.h.
bool itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_WithinThreadPostProcess [protected, inherited] |
Definition at line 546 of file itkOptImageToImageMetric.h.
bool itk::ImageToImageMetric< TFixedImage, TMovingImage >::m_WithinThreadPreProcess [protected, inherited] |
Definition at line 545 of file itkOptImageToImageMetric.h.
static const unsigned int itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >::MovingImageDimension = MovingImageType::ImageDimension [static] |
The moving image dimension.
Reimplemented from itk::ImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 170 of file itkMattesMutualInformationImageToImageMetric.h.
The documentation for this class was generated from the following files:
