This file is indexed.

/usr/include/InsightToolkit/Algorithms/itkMeanSquareRegistrationFunction.h is in libinsighttoolkit3-dev 3.20.1-1.

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
183
184
185
186
187
188
189
190
191
192
193
194
/*=========================================================================

  Program:   Insight Segmentation & Registration Toolkit
  Module:    itkMeanSquareRegistrationFunction.h
  Language:  C++
  Date:      $Date$
  Version:   $Revision$

  Copyright (c) Insight Software Consortium. All rights reserved.
  See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.

     This software is distributed WITHOUT ANY WARRANTY; without even 
     the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR 
     PURPOSE.  See the above copyright notices for more information.

=========================================================================*/
#ifndef __itkMeanSquareRegistrationFunction_h
#define __itkMeanSquareRegistrationFunction_h

#include "itkPDEDeformableRegistrationFunction.h"
#include "itkPoint.h"
#include "itkCovariantVector.h"
#include "itkInterpolateImageFunction.h"
#include "itkLinearInterpolateImageFunction.h"
#include "itkCentralDifferenceImageFunction.h"

namespace itk {

/**
 * \class MeanSquareRegistrationFunction
 *
 * This class encapsulate the PDE which drives the demons registration 
 * algorithm. It is used by MeanSquareRegistrationFilter to compute the 
 * output deformation field which will map a moving image onto a
 * a fixed image.
 *
 * Non-integer moving image values are obtained by using
 * interpolation. The default interpolator is of type
 * LinearInterpolateImageFunction. The user may set other
 * interpolators via method SetMovingImageInterpolator. Note that the input
 * interpolator must derive from baseclass InterpolateImageFunction.
 *
 * This class is templated over the fixed image type, moving image type,
 * and the deformation field type.
 *
 * \warning This filter assumes that the fixed image type, moving image type
 * and deformation field type all have the same number of dimensions.
 *
 * \sa MeanSquareRegistrationFilter
 * \ingroup FiniteDifferenceFunctions
 */
template<class TFixedImage, class TMovingImage, class TDeformationField>
class ITK_EXPORT MeanSquareRegistrationFunction : 
  public PDEDeformableRegistrationFunction< TFixedImage,
    TMovingImage, TDeformationField>
{
public:
  /** Standard class typedefs. */
  typedef MeanSquareRegistrationFunction    Self;
  typedef PDEDeformableRegistrationFunction< TFixedImage,
    TMovingImage, TDeformationField >       Superclass;
  typedef SmartPointer<Self>                Pointer;
  typedef SmartPointer<const Self>          ConstPointer;

  /** Method for creation through the object factory. */
  itkNewMacro(Self);

  /** Run-time type information (and related methods). */
  itkTypeMacro( MeanSquareRegistrationFunction, 
    PDEDeformableRegistrationFunction );

  /** MovingImage image type. */
  typedef typename Superclass::MovingImageType     MovingImageType;
  typedef typename Superclass::MovingImagePointer  MovingImagePointer;

  /** FixedImage image type. */
  typedef typename Superclass::FixedImageType     FixedImageType;
  typedef typename Superclass::FixedImagePointer  FixedImagePointer;
  typedef typename FixedImageType::IndexType      IndexType;
  typedef typename FixedImageType::SizeType       SizeType;
  typedef typename FixedImageType::SpacingType    SpacingType;
  
  /** Deformation field type. */
  typedef typename Superclass::DeformationFieldType    DeformationFieldType;
  typedef typename DeformationFieldType::PixelType     DeformationFieldPixelType;
  typedef typename Superclass::DeformationFieldTypePointer   
    DeformationFieldTypePointer;

  /** Inherit some enums from the superclass. */
  itkStaticConstMacro(ImageDimension, unsigned int,Superclass::ImageDimension);

  /** Inherit some enums from the superclass. */
  typedef typename Superclass::PixelType        PixelType;
  typedef typename Superclass::RadiusType       RadiusType;
  typedef typename Superclass::NeighborhoodType NeighborhoodType;
  typedef typename Superclass::FloatOffsetType  FloatOffsetType;
  typedef typename Superclass::TimeStepType     TimeStepType;

  /** Interpolator type. */
  typedef double                                     CoordRepType;
  typedef InterpolateImageFunction<MovingImageType,CoordRepType>
                                                     InterpolatorType;
  typedef typename InterpolatorType::Pointer         InterpolatorPointer;
  typedef typename InterpolatorType::PointType       PointType;
  typedef LinearInterpolateImageFunction<MovingImageType,CoordRepType>
                                                     DefaultInterpolatorType;

  /** Covariant vector type. */
  typedef CovariantVector<double,itkGetStaticConstMacro(ImageDimension)> CovariantVectorType;

  /** Gradient calculator type. */
  typedef CentralDifferenceImageFunction<FixedImageType> GradientCalculatorType;
  typedef typename GradientCalculatorType::Pointer   GradientCalculatorPointer;

  /** Set the moving image interpolator. */
  void SetMovingImageInterpolator( InterpolatorType * ptr )
    { m_MovingImageInterpolator = ptr; }

  /** Get the moving image interpolator. */
  InterpolatorType * GetMovingImageInterpolator(void)
    { return m_MovingImageInterpolator; }

  /** This class uses a constant timestep of 1. */
  virtual TimeStepType ComputeGlobalTimeStep(void *itkNotUsed(GlobalData)) const
    { return m_TimeStep; }

  /** Return a pointer to a global data structure that is passed to
   * this object from the solver at each calculation.  */
  virtual void *GetGlobalDataPointer() const
    {
    GlobalDataStruct *global = new GlobalDataStruct();
    return global;
    }

  /** Release memory for global data structure. */
  virtual void ReleaseGlobalDataPointer( void *GlobalData ) const
    { delete (GlobalDataStruct *) GlobalData;  }

  /** Set the object's state before each iteration. */
  virtual void InitializeIteration();

  /** This method is called by a finite difference solver image filter at
   * each pixel that does not lie on a data set boundary */
  virtual PixelType  ComputeUpdate(const NeighborhoodType &neighborhood,
                     void *globalData,
                     const FloatOffsetType &offset = FloatOffsetType(0.0));


protected:
  MeanSquareRegistrationFunction();
  ~MeanSquareRegistrationFunction() {}
  void PrintSelf(std::ostream& os, Indent indent) const;

  /** FixedImage image neighborhood iterator type. */
  typedef ConstNeighborhoodIterator<FixedImageType> FixedImageNeighborhoodIteratorType;

  /** A global data type for this class of equation. Used to store
   * iterators for the fixed image. */
  struct GlobalDataStruct
    {
    FixedImageNeighborhoodIteratorType   m_FixedImageIterator;
    };

private:
  MeanSquareRegistrationFunction(const Self&); //purposely not implemented
  void operator=(const Self&); //purposely not implemented

  /** Cache fixed image information. */
  SpacingType                     m_FixedImageSpacing;

  /** Function to compute derivatives of the fixed image. */
  GradientCalculatorPointer       m_FixedImageGradientCalculator;

  /** Function to interpolate the moving image. */
  InterpolatorPointer             m_MovingImageInterpolator;

  /** The global timestep. */
  TimeStepType                    m_TimeStep;

  /** Threshold below which the denominator term is considered zero. */
  double                          m_DenominatorThreshold;

  /** Threshold below which two intensity value are assumed to match. */
  double                          m_IntensityDifferenceThreshold;
};


} // end namespace itk

#ifndef ITK_MANUAL_INSTANTIATION
#include "itkMeanSquareRegistrationFunction.txx"
#endif

#endif