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
|
/*=========================================================================
*
* 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.
*
*=========================================================================*/
#include "itkImageRegistrationMethod.h"
#include "itkTranslationTransform.h"
#include "itkMeanReciprocalSquareDifferenceImageToImageMetric.h"
#include "itkLinearInterpolateImageFunction.h"
#include "itkGradientDescentOptimizer.h"
#include "itkTestingMacros.h"
/**
* This program test one instantiation of the itk::ImageRegistrationMethod class
*
* Only typedef are tested in this file.
*/
int itkImageRegistrationMethodTest_11(int, char* [] )
{
const unsigned int dimension = 3;
// Fixed Image Type
typedef itk::Image<float,dimension> FixedImageType;
// Moving Image Type
typedef itk::Image<char,dimension> MovingImageType;
// Transform Type
typedef itk::TranslationTransform< double,dimension > TransformType;
// Optimizer Type
typedef itk::GradientDescentOptimizer OptimizerType;
// Metric Type
typedef itk::MeanReciprocalSquareDifferenceImageToImageMetric<
FixedImageType,
MovingImageType > MetricType;
// Interpolation technique
typedef itk:: LinearInterpolateImageFunction<
MovingImageType,
double > InterpolatorType;
// Registration Method
typedef itk::ImageRegistrationMethod<
FixedImageType,
MovingImageType > RegistrationType;
MetricType::Pointer metric = MetricType::New();
TransformType::Pointer transform = TransformType::New();
OptimizerType::Pointer optimizer = OptimizerType::New();
FixedImageType::Pointer fixedImage = FixedImageType::New();
MovingImageType::Pointer movingImage = MovingImageType::New();
InterpolatorType::Pointer interpolator = InterpolatorType::New();
RegistrationType::Pointer registration = RegistrationType::New();
registration->SetMetric( metric );
registration->SetOptimizer( optimizer );
registration->SetTransform( transform );
registration->SetFixedImage( fixedImage );
registration->SetMovingImage( movingImage );
registration->SetInterpolator( interpolator );
//
// Now verify that all the sets are consistent with the Gets
//
TEST_SET_GET_VALUE( metric, registration->GetMetric() );
TEST_SET_GET_VALUE( optimizer, registration->GetOptimizer() );
TEST_SET_GET_VALUE( transform, registration->GetTransform() );
TEST_SET_GET_VALUE( fixedImage, registration->GetFixedImage() );
TEST_SET_GET_VALUE( movingImage, registration->GetMovingImage() );
TEST_SET_GET_VALUE( interpolator, registration->GetInterpolator() );
//
// Now verify that they can be changed
//
MetricType::Pointer metric2 = MetricType::New();
TransformType::Pointer transform2 = TransformType::New();
OptimizerType::Pointer optimizer2 = OptimizerType::New();
FixedImageType::Pointer fixedImage2 = FixedImageType::New();
MovingImageType::Pointer movingImage2 = MovingImageType::New();
InterpolatorType::Pointer interpolator2 = InterpolatorType::New();
registration->SetMetric( metric2 );
registration->SetOptimizer( optimizer2 );
registration->SetTransform( transform2 );
registration->SetFixedImage( fixedImage2 );
registration->SetMovingImage( movingImage2 );
registration->SetInterpolator( interpolator2 );
//
// Now verify that all the sets are consistent with the Gets
//
TEST_SET_GET_VALUE( metric2, registration->GetMetric() );
TEST_SET_GET_VALUE( optimizer2, registration->GetOptimizer() );
TEST_SET_GET_VALUE( transform2, registration->GetTransform() );
TEST_SET_GET_VALUE( fixedImage2, registration->GetFixedImage() );
TEST_SET_GET_VALUE( movingImage2, registration->GetMovingImage() );
TEST_SET_GET_VALUE( interpolator2, registration->GetInterpolator() );
//
// Now verify that they can be set to ITK_NULLPTR
//
MetricType::Pointer metric3 = ITK_NULLPTR;
TransformType::Pointer transform3 = ITK_NULLPTR;
OptimizerType::Pointer optimizer3 = ITK_NULLPTR;
FixedImageType::Pointer fixedImage3 = ITK_NULLPTR;
MovingImageType::Pointer movingImage3 = ITK_NULLPTR;
InterpolatorType::Pointer interpolator3 = ITK_NULLPTR;
registration->SetMetric( metric3 );
registration->SetOptimizer( optimizer3 );
registration->SetTransform( transform3 );
registration->SetFixedImage( fixedImage3 );
registration->SetMovingImage( movingImage3 );
registration->SetInterpolator( interpolator3 );
//
// Now verify that all the sets are consistent with the Gets
//
TEST_SET_GET_VALUE( metric3, registration->GetMetric() );
TEST_SET_GET_VALUE( optimizer3, registration->GetOptimizer() );
TEST_SET_GET_VALUE( transform3, registration->GetTransform() );
TEST_SET_GET_VALUE( fixedImage3, registration->GetFixedImage() );
TEST_SET_GET_VALUE( movingImage3, registration->GetMovingImage() );
TEST_SET_GET_VALUE( interpolator3, registration->GetInterpolator() );
std::cout << "Test passed." << std::endl;
return EXIT_SUCCESS;
}
|
