/usr/include/ITK-4.9/itkDiffusionTensor3D.hxx is in libinsighttoolkit4-dev 4.9.0-4ubuntu1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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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 itkDiffusionTensor3D_hxx
#define itkDiffusionTensor3D_hxx
#include "itkDiffusionTensor3D.h"
#include "itkNumericTraits.h"
namespace itk
{
/**
* Default Constructor
*/
template< typename T >
DiffusionTensor3D< T >
::DiffusionTensor3D()
{}
/**
* Constructor with initialization
*/
template< typename T >
DiffusionTensor3D< T >
::DiffusionTensor3D(const Superclass & r):SymmetricSecondRankTensor< T, 3 >(r)
{}
/**
* Constructor with initialization
*/
template< typename T >
DiffusionTensor3D< T >
::DiffusionTensor3D(const ComponentType & r):SymmetricSecondRankTensor< T, 3 >(r)
{}
/**
* Constructor with initialization
*/
template< typename T >
DiffusionTensor3D< T >
::DiffusionTensor3D(const ComponentArrayType r):SymmetricSecondRankTensor< T, 3 >(r)
{}
/**
* Assignment Operator
*/
template< typename T >
DiffusionTensor3D< T > &
DiffusionTensor3D< T >
::operator=(const ComponentType & r)
{
Superclass::operator=(r);
return *this;
}
/**
* Assignment Operator
*/
template< typename T >
DiffusionTensor3D< T > &
DiffusionTensor3D< T >
::operator=(const ComponentArrayType r)
{
Superclass::operator=(r);
return *this;
}
/**
* Assignment Operator
*/
template< typename T >
DiffusionTensor3D< T > &
DiffusionTensor3D< T >
::operator=(const Superclass & r)
{
Superclass::operator=(r);
return *this;
}
/**
* Get the Trace, specialized version for 3D.
*
* Note that the indices are related to the fact
* that we store only the upper-right triangle of
* the matrix. Like
*
* | 0 1 2 |
* | X 3 4 |
* | X X 5 |
*
* The trace is therefore the sum of the components
* M[0], M[3] and M[5].
*
*/
template< typename T >
typename DiffusionTensor3D< T >::AccumulateValueType
DiffusionTensor3D< T >
::GetTrace() const
{
AccumulateValueType trace = ( *this )[0];
trace += ( *this )[3];
trace += ( *this )[5];
return trace;
}
/**
* Compute the value of fractional anisotropy
*/
template< typename T >
typename DiffusionTensor3D< T >::RealValueType
DiffusionTensor3D< T >
::GetFractionalAnisotropy() const
{
// Computed as
// FA = std::sqrt(1.5*sum(sum(N.*N))/sum((sum(D.*D))))
// where N = D - ((1/3)*trace(D)*eye(3,3))
// equation (28) in
// http://lmi.bwh.harvard.edu/papers/pdfs/2002/westinMEDIA02.pdf
const RealValueType isp = this->GetInnerScalarProduct();
if ( isp > 0.0 )
{
const RealValueType trace = this->GetTrace();
const RealValueType anisotropy = 3.0 * isp - trace * trace;
// sometimes anisotropy has been reported to be a small negative
// number, and then std::sqrt returns NaN. If it is a small
// negative number, the obvious thing is to round to zero. If
// it is a larger negative number, I'm not sure what the proper
// result would be. In either case, returning zero makes as much
// sense in those cases as any other number.
if(anisotropy > 0.0)
{
const RealValueType fractionalAnisotropy =
static_cast< RealValueType >( std::sqrt( anisotropy / ( 2.0 * isp ) ) );
return fractionalAnisotropy;
}
}
return 0.0;
}
/**
* Compute the value of relative anisotropy
*/
template< typename T >
typename DiffusionTensor3D< T >::RealValueType
DiffusionTensor3D< T >
::GetRelativeAnisotropy() const
{
const RealValueType trace = this->GetTrace();
const RealValueType isp = this->GetInnerScalarProduct();
// Avoid negative trace and traces small enough to look like a division by
// zero.
if ( trace < NumericTraits< RealValueType >::min() )
{
return NumericTraits< RealValueType >::ZeroValue();
}
const RealValueType anisotropy = 3.0 * isp - trace * trace;
if ( anisotropy < NumericTraits< RealValueType >::ZeroValue() )
{
return NumericTraits< RealValueType >::ZeroValue();
}
const RealValueType relativeAnisotropySquared =
static_cast< RealValueType >( anisotropy / ( std::sqrt(3.0) * trace ) );
const RealValueType relativeAnisotropy =
static_cast< RealValueType >( std::sqrt(relativeAnisotropySquared) );
return relativeAnisotropy;
}
/**
* Compute the inner scalar product
*/
template< typename T >
typename DiffusionTensor3D< T >::RealValueType
DiffusionTensor3D< T >
::GetInnerScalarProduct() const
{
const RealValueType xx = ( *this )[0];
const RealValueType xy = ( *this )[1];
const RealValueType xz = ( *this )[2];
const RealValueType yy = ( *this )[3];
const RealValueType yz = ( *this )[4];
const RealValueType zz = ( *this )[5];
return ( xx * xx + yy * yy + zz * zz + 2.0 * ( xy * xy + xz * xz + yz * yz ) );
}
} // end namespace itk
#endif
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