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
|
/*=========================================================================
*
* 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 "itkMeanSquaresImageToImageMetricv4.h"
#include "itkTranslationTransform.h"
#include "itkVectorImageToImageMetricTraitsv4.h"
/*
* Compare metric evaluation of scalar image and vector image.
* Serves as a numerical verification of vector image metric evaluation.
*/
template<typename TMetric>
int itkMeanSquaresImageToImageMetricv4OnVectorTest2Run( typename TMetric::MeasureType & measureReturn, typename TMetric::DerivativeType & derivativeReturn )
{
const unsigned int imageSize = 5;
const unsigned int imageDimensionality = 3;
typedef typename TMetric::FixedImageType ImageType;
typename ImageType::SizeType size;
size.Fill( imageSize );
typename ImageType::IndexType index;
index.Fill( 0 );
typename ImageType::RegionType region;
region.SetSize( size );
region.SetIndex( index );
typename ImageType::SpacingType spacing;
spacing.Fill(1.0);
typename ImageType::PointType origin;
origin.Fill(0);
typename ImageType::DirectionType direction;
direction.SetIdentity();
/* Create simple test images. */
typename ImageType::Pointer fixedImage = ImageType::New();
fixedImage->SetRegions( region );
fixedImage->SetSpacing( spacing );
fixedImage->SetOrigin( origin );
fixedImage->SetDirection( direction );
fixedImage->Allocate();
typename ImageType::Pointer movingImage = ImageType::New();
movingImage->SetRegions( region );
movingImage->SetSpacing( spacing );
movingImage->SetOrigin( origin );
movingImage->SetDirection( direction );
movingImage->Allocate();
/*
* Fill both images
*/
typedef typename ImageType::PixelType PixelType;
itk::ImageRegionIterator<ImageType> itFixed( fixedImage, region );
itk::ImageRegionIteratorWithIndex<ImageType> itMoving( movingImage, region );
itFixed.GoToBegin();
itMoving.GoToBegin();
unsigned int count = 1;
while( !itFixed.IsAtEnd() )
{
PixelType pix1(count);
PixelType pix2( 1.0 / count );
itFixed.Set( pix1 );
itMoving.Set( pix2 );
count++;
++itFixed;
++itMoving;
}
/* Transforms */
typedef itk::TranslationTransform<double,imageDimensionality> FixedTransformType;
typedef itk::TranslationTransform<double,imageDimensionality> MovingTransformType;
typename FixedTransformType::Pointer fixedTransform = FixedTransformType::New();
typename MovingTransformType::Pointer movingTransform = MovingTransformType::New();
fixedTransform->SetIdentity();
movingTransform->SetIdentity();
typename TMetric::Pointer metric = TMetric::New();
/* Assign images and transforms.
* By not setting a virtual domain image or virtual domain settings,
* the metric will use the fixed image for the virtual domain. */
metric->SetFixedImage( fixedImage );
metric->SetMovingImage( movingImage );
metric->SetFixedTransform( fixedTransform );
metric->SetMovingTransform( movingTransform );
metric->SetMaximumNumberOfThreads( 1 );
metric->DebugOn();
/* Initialize. */
try
{
std::cout << "Calling Initialize..." << std::endl;
metric->Initialize();
}
catch( itk::ExceptionObject & exc )
{
std::cerr << "Caught unexpected exception during Initialize: " << exc << std::endl;
return EXIT_FAILURE;
}
std::cout << "Initialized" << std::endl;
/* Evaluate with GetValueAndDerivative */
try
{
std::cout << "Calling GetValueAndDerivative..." << std::endl;
metric->GetValueAndDerivative( measureReturn, derivativeReturn );
}
catch( itk::ExceptionObject & exc )
{
std::cerr << "Caught unexpected exception during GetValueAndDerivative: " << exc;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
///////////////////////////////////////////////////////////////////////
int itkMeanSquaresImageToImageMetricv4OnVectorTest2(int, char ** const)
{
const unsigned int imageDimensionality = 3;
const unsigned int vectorLength = 3;
/* The vector metric */
typedef itk::Vector<double, vectorLength> VectorType;
typedef itk::Image< VectorType, imageDimensionality > VectorImageType;
typedef itk::VectorImageToImageMetricTraitsv4< VectorImageType, VectorImageType, VectorImageType, vectorLength, double > MetricTraitsType;
typedef itk::MeanSquaresImageToImageMetricv4< VectorImageType, VectorImageType, VectorImageType, double, MetricTraitsType > VectorMetricType;
VectorMetricType::MeasureType vectorMeasure = 0.0;
VectorMetricType::DerivativeType vectorDerivative;
vectorDerivative.Fill(0);
itkMeanSquaresImageToImageMetricv4OnVectorTest2Run<VectorMetricType>( vectorMeasure, vectorDerivative );
std::cout << "vectorMeasure: " << vectorMeasure << " vectorDerivative: " << vectorDerivative << std::endl;
/* The scalar metric */
typedef itk::Image< double, imageDimensionality > ScalarImageType;
typedef itk::MeanSquaresImageToImageMetricv4< ScalarImageType, ScalarImageType, ScalarImageType > ScalarMetricType;
ScalarMetricType::MeasureType scalarMeasure = 0.0;
ScalarMetricType::DerivativeType scalarDerivative;
scalarDerivative.Fill(0);
itkMeanSquaresImageToImageMetricv4OnVectorTest2Run<ScalarMetricType>( scalarMeasure, scalarDerivative );
std::cout << "scalarMeasure: " << scalarMeasure << " scalarDerivative: " << scalarDerivative << std::endl;
/* Compare */
double tolerance = 1e-8;
if( std::fabs( scalarMeasure - ( vectorMeasure / vectorLength ) ) > tolerance )
{
std::cerr << "Measures do not match within tolerance. scalarMeasure, vectorMeasure: " << scalarMeasure << ", " << vectorMeasure << std::endl;
return EXIT_FAILURE;
}
std::cout << "Measure values match." << std::endl;
for( itk::SizeValueType n = 0; n < scalarDerivative.Size(); n++ )
{
if( std::fabs( scalarDerivative[n] - ( vectorDerivative[n] / vectorLength ) ) > tolerance )
{
std::cerr << "Derivatives do not match within tolerance. scalarDerivative, vectorDerivative: " << scalarDerivative << std::endl << vectorDerivative << std::endl;
return EXIT_FAILURE;
}
}
std::cout << "Derivative values match." << std::endl;
std::cout << "Test passed." << std::endl;
return EXIT_SUCCESS;
}
|
