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/*=========================================================================
*
* Copyright UMC Utrecht and contributors
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
#ifndef elxAdvancedKappaStatisticMetric_h
#define elxAdvancedKappaStatisticMetric_h
#include "elxIncludes.h" // include first to avoid MSVS warning
#include "itkAdvancedKappaStatisticImageToImageMetric.h"
namespace elastix
{
/**
* \class AdvancedKappaStatisticMetric
* \brief An metric based on the itk::AdvancedKappaStatisticImageToImageMetric.
*
* The parameters used in this class are:
* \parameter Metric: Select this metric as follows:\n
* <tt>(Metric "AdvancedKappaStatistic")</tt>
* \parameter UseComplement: Bool to use the complement of the metric or not.\n
* If true, the 1 - KappaStatistic is returned, which is useful since most
* optimizers search by default for a minimum.\n
* <tt>(UseComplement "true")</tt>\n
* The default value is true.
* \parameter ForeGroundvalue: the overlap of structures with this value is
* calculated.\n
* <tt>(ForeGroundvalue 3.5)</tt>\n
* The default value is 1.0.
*
* \ingroup Metrics
*
*/
template <class TElastix>
class ITK_TEMPLATE_EXPORT AdvancedKappaStatisticMetric
: public itk::AdvancedKappaStatisticImageToImageMetric<typename MetricBase<TElastix>::FixedImageType,
typename MetricBase<TElastix>::MovingImageType>
, public MetricBase<TElastix>
{
public:
ITK_DISALLOW_COPY_AND_MOVE(AdvancedKappaStatisticMetric);
/** Standard ITK-stuff. */
using Self = AdvancedKappaStatisticMetric;
using Superclass1 = itk::AdvancedKappaStatisticImageToImageMetric<typename MetricBase<TElastix>::FixedImageType,
typename MetricBase<TElastix>::MovingImageType>;
using Superclass2 = MetricBase<TElastix>;
using Pointer = itk::SmartPointer<Self>;
using ConstPointer = itk::SmartPointer<const Self>;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Run-time type information (and related methods). */
itkTypeMacro(AdvancedKappaStatisticMetric, itk::AdvancedKappaStatisticImageToImageMetric);
/** Name of this class.
* Use this name in the parameter file to select this specific metric. \n
* example: <tt>(Metric "AdvancedKappaStatistic")</tt>\n
*/
elxClassNameMacro("AdvancedKappaStatistic");
/** Typedefs from the superclass. */
using typename Superclass1::CoordinateRepresentationType;
using typename Superclass1::MovingImageType;
using typename Superclass1::MovingImagePixelType;
using typename Superclass1::MovingImageConstPointer;
using typename Superclass1::FixedImageType;
using typename Superclass1::FixedImageConstPointer;
using typename Superclass1::FixedImageRegionType;
using typename Superclass1::TransformType;
using typename Superclass1::TransformPointer;
using typename Superclass1::InputPointType;
using typename Superclass1::OutputPointType;
using typename Superclass1::TransformParametersType;
using typename Superclass1::TransformJacobianType;
using typename Superclass1::InterpolatorType;
using typename Superclass1::InterpolatorPointer;
using typename Superclass1::RealType;
using typename Superclass1::GradientPixelType;
using typename Superclass1::GradientImageType;
using typename Superclass1::GradientImagePointer;
using typename Superclass1::FixedImageMaskType;
using typename Superclass1::FixedImageMaskPointer;
using typename Superclass1::MovingImageMaskType;
using typename Superclass1::MovingImageMaskPointer;
using typename Superclass1::MeasureType;
using typename Superclass1::DerivativeType;
using typename Superclass1::ParametersType;
using typename Superclass1::FixedImagePixelType;
using typename Superclass1::MovingImageRegionType;
using typename Superclass1::ImageSamplerType;
using typename Superclass1::ImageSamplerPointer;
using typename Superclass1::ImageSampleContainerType;
using typename Superclass1::ImageSampleContainerPointer;
using typename Superclass1::FixedImageLimiterType;
using typename Superclass1::MovingImageLimiterType;
using typename Superclass1::FixedImageLimiterOutputType;
using typename Superclass1::MovingImageLimiterOutputType;
using typename Superclass1::MovingImageDerivativeScalesType;
/** The fixed image dimension. */
itkStaticConstMacro(FixedImageDimension, unsigned int, FixedImageType::ImageDimension);
/** The moving image dimension. */
itkStaticConstMacro(MovingImageDimension, unsigned int, MovingImageType::ImageDimension);
/** Typedef's inherited from Elastix. */
using typename Superclass2::ElastixType;
using typename Superclass2::RegistrationType;
using ITKBaseType = typename Superclass2::ITKBaseType;
/** Sets up a timer to measure the initialization time and
* calls the Superclass' implementation.
*/
void
Initialize() override;
/**
* Do some things before registration:
* \li Set the UseComplement setting
* \li Set the ForeGroundvalue setting
*/
void
BeforeRegistration() override;
protected:
/** The constructor. */
AdvancedKappaStatisticMetric() = default;
/** The destructor. */
~AdvancedKappaStatisticMetric() override = default;
private:
elxOverrideGetSelfMacro;
};
} // end namespace elastix
#ifndef ITK_MANUAL_INSTANTIATION
# include "elxAdvancedKappaStatisticMetric.hxx"
#endif
#endif // end #ifndef elxAdvancedKappaStatisticMetric_h
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