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
|
/*=========================================================================
*
* 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 __itkRegistrationParameterScalesFromJacobian_h
#define __itkRegistrationParameterScalesFromJacobian_h
#include "itkRegistrationParameterScalesEstimator.h"
namespace itk
{
/** \class RegistrationParameterScalesFromJacobian
* \brief Implements a registration helper class for estimating scales of
* transform parameters from Jacobian norms.
*
* Its input includes the fixed/moving images and transform objects,
* which can be obtained from the metric object.
*
* The scale of a parameter is estimated from the averaged squared norm of
* the Jacobian w.r.t the parameter. The averaging is done over a sampling
* of the image domain. The sampling by default is a uniform random
* distribution.
*
* \ingroup ITKOptimizersv4
*/
template < typename TMetric >
class RegistrationParameterScalesFromJacobian :
public RegistrationParameterScalesEstimator< TMetric >
{
public:
/** Standard class typedefs. */
typedef RegistrationParameterScalesFromJacobian Self;
typedef RegistrationParameterScalesEstimator< TMetric > Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** New macro for creation of through a Smart Pointer. */
itkNewMacro( Self );
/** Run-time type information (and related methods). */
itkTypeMacro( RegistrationParameterScalesFromJacobian, RegistrationParameterScalesEstimator );
/** Type of scales */
typedef typename Superclass::ScalesType ScalesType;
/** Type of parameters of the optimizer */
typedef typename Superclass::ParametersType ParametersType;
/** Type of float */
typedef typename Superclass::FloatType FloatType;
typedef typename Superclass::VirtualPointType VirtualPointType;
typedef typename Superclass::VirtualIndexType VirtualIndexType;
typedef typename Superclass::MovingTransformType MovingTransformType;
typedef typename Superclass::FixedTransformType FixedTransformType;
typedef typename Superclass::JacobianType JacobianType;
typedef typename Superclass::VirtualImageConstPointer VirtualImageConstPointer;
/** Estimate parameter scales. */
virtual void EstimateScales(ScalesType &scales);
/**
* Estimate the scale for \f$\Delta p\f$, the step of change on parameters.
* The step scale describes the impact of \f$\Delta p\f$ on the transform.
*
* Let us denote the transform by
* \f[ T(x, p) = T(x, p_0 + t * \Delta p) \f]
* where \f$x\f$ is the coordinates of a voxel, \f$p = p_0+t*\Delta p\f$ is
* the transform parameters, and \f$t\f$ is the step factor.
*
* At a specific voxel at \f$x\f$, the step scale w.r.t. \f$\Delta p\f$ is
* defined here as
*
* \f[ |\frac{dT}{dt}| = |\frac{\partial T}{\partial p} * \Delta p |. \f]
*
* For multiple voxels, we average the above formula to get the overall
* step scale.
*/
virtual FloatType EstimateStepScale(const ParametersType &step);
/** Estimate the scales of local steps. */
virtual void EstimateLocalStepScales(const ParametersType &step,
ScalesType &localStepScales);
protected:
RegistrationParameterScalesFromJacobian();
~RegistrationParameterScalesFromJacobian(){};
virtual void PrintSelf(std::ostream &os, Indent indent) const;
/**
* Compute the step scales for samples, i.e. the impacts on each sampled
* voxel from a change on the transform.
*/
void ComputeSampleStepScales(const ParametersType &step, ScalesType &sampleScales);
private:
RegistrationParameterScalesFromJacobian(const Self&); //purposely not implemented
void operator=(const Self&); //purposely not implemented
}; //class RegistrationParameterScalesFromJacobian
} // namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkRegistrationParameterScalesFromJacobian.hxx"
#endif
#endif /* __itkRegistrationParameterScalesFromJacobian_h */
|
