/usr/include/ITK-4.5/itkJointHistogramMutualInformationGetValueAndDerivativeThreader.hxx is in libinsighttoolkit4-dev 4.5.0-3.
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*
* Copyright Insight Software Consortium
*
* 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 __itkJointHistogramMutualInformationGetValueAndDerivativeThreader_hxx
#define __itkJointHistogramMutualInformationGetValueAndDerivativeThreader_hxx
#include "itkJointHistogramMutualInformationGetValueAndDerivativeThreader.h"
namespace itk
{
template< typename TDomainPartitioner, typename TImageToImageMetric, typename TJointHistogramMetric >
JointHistogramMutualInformationGetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TJointHistogramMetric >
::JointHistogramMutualInformationGetValueAndDerivativeThreader():
m_JointHistogramMIPerThreadVariables( NULL )
{
}
template< typename TDomainPartitioner, typename TImageToImageMetric, typename TJointHistogramMetric >
JointHistogramMutualInformationGetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TJointHistogramMetric >
::~JointHistogramMutualInformationGetValueAndDerivativeThreader()
{
delete[] this->m_JointHistogramMIPerThreadVariables;
}
template< typename TDomainPartitioner, typename TImageToImageMetric, typename TJointHistogramMetric >
void
JointHistogramMutualInformationGetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TJointHistogramMetric >
::BeforeThreadedExecution()
{
Superclass::BeforeThreadedExecution();
/* Store the casted pointer to avoid dynamic casting in tight loops. */
this->m_JointAssociate = dynamic_cast< TJointHistogramMetric * >( this->m_Associate );
if( this->m_JointAssociate == NULL )
{
itkExceptionMacro("Dynamic casting of associate pointer failed.");
}
delete[] this->m_JointHistogramMIPerThreadVariables;
this->m_JointHistogramMIPerThreadVariables = new AlignedJointHistogramMIPerThreadStruct[ this->GetNumberOfThreadsUsed() ];
for( ThreadIdType i = 0; i < this->GetNumberOfThreadsUsed(); ++i )
{
if( this->m_JointHistogramMIPerThreadVariables[i].JointPDFInterpolator.IsNull() )
{
this->m_JointHistogramMIPerThreadVariables[i].JointPDFInterpolator = JointPDFInterpolatorType::New();
}
this->m_JointHistogramMIPerThreadVariables[i].JointPDFInterpolator->SetInputImage( this->m_JointAssociate->m_JointPDF );
if( this->m_JointHistogramMIPerThreadVariables[i].FixedImageMarginalPDFInterpolator.IsNull() )
{
this->m_JointHistogramMIPerThreadVariables[i].FixedImageMarginalPDFInterpolator = MarginalPDFInterpolatorType::New();
}
this->m_JointHistogramMIPerThreadVariables[i].FixedImageMarginalPDFInterpolator->SetInputImage( this->m_JointAssociate->m_FixedImageMarginalPDF );
if( this->m_JointHistogramMIPerThreadVariables[i].MovingImageMarginalPDFInterpolator.IsNull() )
{
this->m_JointHistogramMIPerThreadVariables[i].MovingImageMarginalPDFInterpolator = MarginalPDFInterpolatorType::New();
}
this->m_JointHistogramMIPerThreadVariables[i].MovingImageMarginalPDFInterpolator->SetInputImage( this->m_JointAssociate->m_MovingImageMarginalPDF );
}
}
template< typename TDomainPartitioner, typename TImageToImageMetric, typename TJointHistogramMetric >
void
JointHistogramMutualInformationGetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TJointHistogramMetric >
::AfterThreadedExecution()
{
Superclass::AfterThreadedExecution();
// The Superclass does not generate a valid m_Value for this metric. We have to calculate it
// here, but only if there are 1 or more valid points. Otherwise the Superclass
// will have already set a default value and issued a warning.
if( this->m_JointAssociate->GetNumberOfValidPoints() > 0 )
{
this->m_JointAssociate->m_Value = this->m_JointAssociate->ComputeValue();
}
}
template< typename TDomainPartitioner, typename TImageToImageMetric, typename TJointHistogramMetric >
bool
JointHistogramMutualInformationGetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TJointHistogramMetric >
::ProcessPoint( const VirtualIndexType &,
const VirtualPointType & virtualPoint,
const FixedImagePointType &,
const FixedImagePixelType & fixedImageValue,
const FixedImageGradientType &,
const MovingImagePointType &,
const MovingImagePixelType & movingImageValue,
const MovingImageGradientType & movingImageGradient,
MeasureType &,
DerivativeType & localDerivativeReturn,
const ThreadIdType threadId ) const
{
// check that the moving image sample is within the range of the true min
// and max, hence being within the moving image mask
if ( movingImageValue < this->m_JointAssociate->m_MovingImageTrueMin )
{
return false;
}
else if ( movingImageValue > this->m_JointAssociate->m_MovingImageTrueMax )
{
return false;
}
/** the scalingfactor is the MI specific scaling of the image gradient and jacobian terms */
InternalComputationValueType scalingfactor = NumericTraits< InternalComputationValueType >::Zero; // for scaling the jacobian terms
JointPDFPointType jointPDFpoint;
this->m_JointAssociate->ComputeJointPDFPoint( fixedImageValue, movingImageValue, jointPDFpoint );
// Make sure the point is inside th joint pdf.
if ( ! this->m_JointHistogramMIPerThreadVariables[threadId].JointPDFInterpolator->IsInsideBuffer( jointPDFpoint ) )
{
return false;
}
InternalComputationValueType jointPDFValue = this->m_JointHistogramMIPerThreadVariables[threadId].JointPDFInterpolator->Evaluate( jointPDFpoint );
SizeValueType ind = 1;
InternalComputationValueType dJPDF = this->ComputeJointPDFDerivative( jointPDFpoint, threadId , ind );
typename MarginalPDFType::PointType mind;
mind[0] = jointPDFpoint[ind];
InternalComputationValueType movingImagePDFValue =
this->m_JointHistogramMIPerThreadVariables[threadId].MovingImageMarginalPDFInterpolator->Evaluate(mind);
InternalComputationValueType dMmPDF =
this->ComputeMovingImageMarginalPDFDerivative( mind , threadId );
const InternalComputationValueType eps = 1.e-16;
if( jointPDFValue > eps && movingImagePDFValue > eps )
{
const InternalComputationValueType pRatio =
vcl_log(jointPDFValue)-vcl_log(movingImagePDFValue);
const InternalComputationValueType & term1 = dJPDF*pRatio;
const InternalComputationValueType & term2 = this->m_JointAssociate->m_Log2 * dMmPDF * jointPDFValue / movingImagePDFValue;
scalingfactor = ( term2 - term1 );
} // end if-block to check non-zero bin contribution
else
{
scalingfactor = NumericTraits< InternalComputationValueType >::Zero;
}
/* Use a pre-allocated jacobian object for efficiency */
FixedTransformJacobianType & jacobian =
const_cast< FixedTransformJacobianType & >(this->m_GetValueAndDerivativePerThreadVariables[threadId].MovingTransformJacobian);
/** For dense transforms, this returns identity */
this->m_JointAssociate->m_MovingTransform->ComputeJacobianWithRespectToParameters( virtualPoint, jacobian );
for ( NumberOfParametersType par = 0; par < this->GetCachedNumberOfLocalParameters(); par++ )
{
InternalComputationValueType sum = NumericTraits< InternalComputationValueType >::Zero;
for ( SizeValueType dim = 0; dim < TImageToImageMetric::MovingImageDimension; dim++ )
{
sum += scalingfactor * jacobian(dim, par) * movingImageGradient[dim];
}
localDerivativeReturn[par] = sum;
}
return true;
}
template< typename TDomainPartitioner, typename TImageToImageMetric, typename TJointHistogramMetric >
typename JointHistogramMutualInformationGetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TJointHistogramMetric >::InternalComputationValueType
JointHistogramMutualInformationGetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TJointHistogramMetric >
::ComputeFixedImageMarginalPDFDerivative( const MarginalPDFPointType & margPDFpoint,
const ThreadIdType threadID ) const
{
InternalComputationValueType offset = 0.5*this->m_JointPDFSpacing[0];
InternalComputationValueType eps = this->m_JointPDFSpacing[0];
MarginalPDFPointType leftpoint = margPDFpoint;
leftpoint[0] -= offset;
MarginalPDFPointType rightpoint = margPDFpoint;
rightpoint[0] += offset;
if (leftpoint[0] < eps )
{
leftpoint[0] = eps;
}
if (rightpoint[0] < eps )
{
rightpoint[0] = eps;
}
if (leftpoint[0] > 1.0 )
{
leftpoint[0] = 1.0;
}
if (rightpoint[0] > 1.0 )
{
rightpoint[0] = 1.0;
}
InternalComputationValueType delta = rightpoint[0]-leftpoint[0];
if ( delta > NumericTraits< InternalComputationValueType >::Zero )
{
InternalComputationValueType deriv = this->m_ThreaderFixedImageMarginalPDFInterpolator[threadID]->Evaluate(rightpoint) -
this->m_ThreaderFixedImageMarginalPDFInterpolator[threadID]->Evaluate(leftpoint);
return deriv/delta;
}
else
{
return NumericTraits< InternalComputationValueType >::Zero;
}
}
template< typename TDomainPartitioner, typename TImageToImageMetric, typename TJointHistogramMetric >
typename JointHistogramMutualInformationGetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TJointHistogramMetric >::InternalComputationValueType
JointHistogramMutualInformationGetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TJointHistogramMetric >
::ComputeMovingImageMarginalPDFDerivative( const MarginalPDFPointType & margPDFpoint,
const ThreadIdType threadId ) const
{
InternalComputationValueType offset = 0.5 * this->m_JointAssociate->m_JointPDFSpacing[0];
InternalComputationValueType eps = this->m_JointAssociate->m_JointPDFSpacing[0];
MarginalPDFPointType leftpoint = margPDFpoint;
leftpoint[0] -= offset;
MarginalPDFPointType rightpoint = margPDFpoint;
rightpoint[0] += offset;
if( leftpoint[0] < eps )
{
leftpoint[0] = eps;
}
if( rightpoint[0] < eps )
{
rightpoint[0] = eps;
}
if( leftpoint[0] > 1.0 )
{
leftpoint[0] = 1.0;
}
if( rightpoint[0] > 1.0 )
{
rightpoint[0] = 1.0;
}
InternalComputationValueType delta = rightpoint[0] - leftpoint[0];
if ( delta > NumericTraits< InternalComputationValueType >::Zero )
{
InternalComputationValueType deriv =
this->m_JointHistogramMIPerThreadVariables[threadId].MovingImageMarginalPDFInterpolator->Evaluate(rightpoint) -
this->m_JointHistogramMIPerThreadVariables[threadId].MovingImageMarginalPDFInterpolator->Evaluate(leftpoint);
return deriv/delta;
}
else
{
return NumericTraits< InternalComputationValueType >::Zero;
}
}
template< typename TDomainPartitioner, typename TImageToImageMetric, typename TJointHistogramMetric >
typename JointHistogramMutualInformationGetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TJointHistogramMetric >::InternalComputationValueType
JointHistogramMutualInformationGetValueAndDerivativeThreader< TDomainPartitioner, TImageToImageMetric, TJointHistogramMetric >
::ComputeJointPDFDerivative( const JointPDFPointType & jointPDFpoint,
const ThreadIdType threadId,
const SizeValueType ind ) const
{
InternalComputationValueType offset = 0.5 * this->m_JointAssociate->m_JointPDFSpacing[ind];
InternalComputationValueType eps = this->m_JointAssociate->m_JointPDFSpacing[ind];
JointPDFPointType leftpoint = jointPDFpoint;
leftpoint[ind] -= offset;
JointPDFPointType rightpoint = jointPDFpoint;
rightpoint[ind] += offset;
if (leftpoint[ind] < eps )
{
leftpoint[ind] = eps;
}
if (rightpoint[ind] < eps )
{
rightpoint[ind] = eps;
}
if (leftpoint[ind] > 1.0 )
{
leftpoint[ind] = 1.0;
}
if (rightpoint[ind] > 1.0 )
{
rightpoint[ind] = 1.0;
}
InternalComputationValueType delta = rightpoint[ind] - leftpoint[ind];
InternalComputationValueType deriv = NumericTraits< InternalComputationValueType >::Zero;
if ( delta > NumericTraits< InternalComputationValueType >::Zero )
{
deriv = this->m_JointHistogramMIPerThreadVariables[threadId].JointPDFInterpolator->Evaluate(rightpoint)-
this->m_JointHistogramMIPerThreadVariables[threadId].JointPDFInterpolator->Evaluate(leftpoint);
return deriv/delta;
}
return deriv;
}
} // end namespace itk
#endif
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