/usr/include/ITK-4.9/itkBSplineExponentialDiffeomorphicTransform.h 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.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 | /*=========================================================================
*
* 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 itkBSplineExponentialDiffeomorphicTransform_h
#define itkBSplineExponentialDiffeomorphicTransform_h
#include "itkConstantVelocityFieldTransform.h"
#include "itkDisplacementFieldToBSplineImageFilter.h"
#include "itkPointSet.h"
namespace itk
{
/** \class BSplineExponentialDiffeomorphicTransform
* \brief Exponential transform using B-splines as the smoothing kernel.
*
* Exponential transform inspired by the work of J. Ashburner (see reference
* below). Assuming a constant velocity field, the transform takes as input
* the update field at time point t = 1, \f$u\f$ and smooths it using a B-spline
* smoothing (i.e. fitting) operation, \f$S_{update}\f$ defined by \c SplineOrder and
* \c NumberOfControlPointsForTheUpdateField. We add that the current estimate
* of the velocity field and then perform a second smoothing step such that
* the new velocity field is
*
* \f{eqnarray*}{
* v_{new} = S_{velocity}( v_{old} + S_{update}( u ) ).
* \f}
*
* We then exponentiate \f$v_{new}\f$ using the class
* \c ExponentialDisplacementImageFilter to yield both the forward and inverse
* displacement fields.
*
* \li J. Ashburner. A Fast Diffeomorphic Image Registration Algorithm.
* NeuroImage, 38(1):95-113, 2007.
*
* \author Nick Tustison
* \author Brian Avants
*
* \ingroup ITKDisplacementField
*/
template<typename TParametersValueType, unsigned int NDimensions>
class BSplineExponentialDiffeomorphicTransform :
public ConstantVelocityFieldTransform<TParametersValueType, NDimensions>
{
public:
/** Standard class typedefs. */
typedef BSplineExponentialDiffeomorphicTransform Self;
typedef ConstantVelocityFieldTransform<TParametersValueType, NDimensions> Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Run-time type information (and related methods). */
itkTypeMacro( BSplineExponentialDiffeomorphicTransform, ConstantVelocityFieldTransform );
/** New macro for creation of through a Smart Pointer */
itkNewMacro( Self );
/** Dimension of the velocity field . */
itkStaticConstMacro( ConstantVelocityFieldDimension, unsigned int, NDimensions );
/** Dimension of the vector spaces. */
itkStaticConstMacro( Dimension, unsigned int, NDimensions );
/** Types from superclass */
typedef typename Superclass::ScalarType ScalarType;
typedef typename Superclass::DerivativeType DerivativeType;
typedef typename DerivativeType::ValueType DerivativeValueType;
typedef typename Superclass::ParametersType ParametersType;
typedef typename Superclass::ParametersValueType ParametersValueType;
typedef typename Superclass::FixedParametersType FixedParametersType;
typedef typename Superclass::FixedParametersValueType FixedParametersValueType;
typedef typename Superclass::DisplacementFieldType DisplacementFieldType;
typedef typename Superclass::DisplacementFieldPointer DisplacementFieldPointer;
typedef typename Superclass::ConstantVelocityFieldType ConstantVelocityFieldType;
typedef typename Superclass::ConstantVelocityFieldPointer ConstantVelocityFieldPointer;
typedef typename DisplacementFieldType::PixelType DisplacementVectorType;
/**
* typedefs for projecting the input displacement field onto a
* B-spline field.
*/
typedef PointSet<ConstantVelocityFieldType, Dimension> PointSetType;
typedef unsigned int SplineOrderType;
typedef DisplacementFieldToBSplineImageFilter<ConstantVelocityFieldType> BSplineFilterType;
typedef typename BSplineFilterType::WeightsContainerType WeightsContainerType;
typedef typename BSplineFilterType::ArrayType ArrayType;
typedef typename ArrayType::ValueType ArrayValueType;
/**
* Update the transform's parameters by the values in \c update. We overwrite the
* base class implementation as we might want to smooth the update field before
* adding it to the velocity field
*/
virtual void UpdateTransformParameters( const DerivativeType & update, ScalarType factor = 1.0 ) ITK_OVERRIDE;
/**
* Smooth the constant velocity field in-place.
*/
virtual ConstantVelocityFieldPointer BSplineSmoothConstantVelocityField( const ConstantVelocityFieldType *, const ArrayType & );
/**
* Set/Get the spline order.
*/
itkSetMacro( SplineOrder, SplineOrderType );
itkGetConstMacro( SplineOrder, SplineOrderType );
/**
* Set/Get the control point grid size defining the B-spline estimate of the
* smoothed velocity field. In each dimension, the B-spline mesh size is equal
* to the number of control points in that dimension minus the spline order.
* Default = 4 control points in each dimension for a mesh size of 1 in each
* dimension.
*/
itkSetMacro( NumberOfControlPointsForTheConstantVelocityField, ArrayType );
itkGetConstMacro( NumberOfControlPointsForTheConstantVelocityField, ArrayType );
/**
* Set the control point grid size defining the B-spline estimate of the
* smoothed update field. In each dimension, the B-spline mesh size is equal
* to the number of control points in that dimension minus the spline order.
* Default = 4 control points in each dimension for a mesh size of 1 in each
* dimension.
*/
itkSetMacro( NumberOfControlPointsForTheUpdateField, ArrayType );
itkGetConstMacro( NumberOfControlPointsForTheUpdateField, ArrayType );
/**
* Set the update field mesh size which is used to specify the control point
* grid size. The mesh size in each dimension is calculated as the
* difference between the control point grid size and the spline order, i.e.
* meshSize = controlPointGridSize - SplineOrder.
*/
void SetMeshSizeForTheConstantVelocityField( const ArrayType & );
/**
* Set the velocity field mesh size which is used to specify the control point
* grid size. The mesh size in each dimension is calculated as the
* difference between the control point grid size and the spline order, i.e.
* meshSize = controlPointGridSize - SplineOrder.
*/
void SetMeshSizeForTheUpdateField( const ArrayType & );
protected:
BSplineExponentialDiffeomorphicTransform();
virtual ~BSplineExponentialDiffeomorphicTransform();
void PrintSelf( std::ostream &, Indent ) const ITK_OVERRIDE;
private:
BSplineExponentialDiffeomorphicTransform( const Self& ) ITK_DELETE_FUNCTION;
void operator=( const Self& ) ITK_DELETE_FUNCTION;
ArrayType m_NumberOfControlPointsForTheConstantVelocityField;
ArrayType m_NumberOfControlPointsForTheUpdateField;
SplineOrderType m_SplineOrder;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
# include "itkBSplineExponentialDiffeomorphicTransform.hxx"
#endif
#endif // itkBSplineExponentialDiffeomorphicTransform_h
|