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
195
|
/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkOrientedImage3DTest.cxx
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.
=========================================================================*/
#if defined(_MSC_VER)
#pragma warning ( disable : 4786 )
#endif
#include "itkImageFileReader.h"
#include "itkOrientedImage.h"
#include "itkCentralDifferenceImageFunction.h"
int itkOrientedImage3DTest( int ac, char * av[] )
{
if( ac < 20 )
{
std::cerr << "Usage: " << av[0]
<< " InputImage "
<< "corner1x corner1y corner1z "
<< "corner2x corner2y corner2z "
<< "corner3x corner3y corner3z "
<< "corner4x corner4y corner4z "
<< "derivative1x derivative1y derivative1z "
<< "derivative2x derivative2y derivative2z"
<< std::endl;
return EXIT_FAILURE;
}
const unsigned int Dimension = 3;
typedef unsigned char PixelType;
typedef itk::OrientedImage<PixelType, Dimension> ImageType;
typedef itk::ImageFileReader< ImageType > ReaderType;
typedef ImageType::IndexType IndexType;
typedef ImageType::PointType PointType;
typedef IndexType::IndexValueType IndexValueType;
ReaderType::Pointer reader = ReaderType::New();
reader->SetFileName( av[1] );
try
{
reader->Update();
}
catch (itk::ExceptionObject & e)
{
std::cerr << e << std::endl;
return EXIT_FAILURE;
}
ImageType::ConstPointer image = reader->GetOutput();
ImageType::DirectionType directionCosines = image->GetDirection();
std::cout << directionCosines << std::endl;
unsigned int element = 2;
const double tolerance = 1e-3;
ImageType::RegionType region = image->GetLargestPossibleRegion();
ImageType::SizeType size = region.GetSize();
const int numberOfPointsToTest = 4;
ImageType::IndexType index[numberOfPointsToTest];
ImageType::PointType physicalPoint;
index[0][0] = 0;
index[0][1] = 0;
index[0][2] = 0;
index[1][0] = size[0];
index[1][1] = 0;
index[1][2] = 0;
index[2][0] = 0;
index[2][1] = size[1];
index[2][2] = 0;
index[3][0] = 0;
index[3][1] = 0;
index[3][2] = size[2];
image->Print( std::cout );
std::cout << std::endl;
std::cout << std::endl;
for( int pointId=0; pointId < numberOfPointsToTest; ++pointId )
{
image->TransformIndexToPhysicalPoint( index[pointId], physicalPoint );
std::cout << index[pointId] << " : " << physicalPoint << std::endl;
for( unsigned int dim=0; dim < Dimension; ++dim )
{
const double expectedValue = atof( av[ element++ ] );
const double currentValue = physicalPoint[dim];
const double difference = currentValue - expectedValue;
if( vnl_math_abs( difference ) > tolerance )
{
std::cerr << "Error: " << std::endl;
std::cerr << "in Point # " << pointId << std::endl;
std::cerr << "Expected = " << expectedValue << std::endl;
std::cerr << "Read = " << currentValue << std::endl;
std::cerr << "Index = " << index[pointId] << std::endl;
std::cerr << "PhysicalPoint = " << physicalPoint << std::endl;
}
}
}
//
// Select a point in the middle of the image and compute its
// derivative using the image orientation.
//
IndexType centralIndex;
centralIndex[0] = static_cast< IndexValueType >( size[0] / 2.0 );
centralIndex[1] = static_cast< IndexValueType >( size[1] / 2.0 );
centralIndex[2] = static_cast< IndexValueType >( size[2] / 2.0 );
typedef itk::CentralDifferenceImageFunction< ImageType, double > CentralDifferenceImageFunctionType;
CentralDifferenceImageFunctionType::Pointer gradientHelper1 = CentralDifferenceImageFunctionType::New();
gradientHelper1->SetInputImage( image );
std::cout << std::endl;
std::cout << std::endl;
std::cout << "Image Direction" << std::endl;
std::cout << image->GetDirection() << std::endl;
{ // Compute gradient value without taking image direction into account
gradientHelper1->UseImageDirectionOff();
CentralDifferenceImageFunctionType::OutputType gradient1a = gradientHelper1->EvaluateAtIndex( centralIndex );
std::cout << "Gradient without Direction" << std::endl;
std::cout << gradient1a << std::endl;
for( unsigned int dim=0; dim < Dimension; ++dim )
{
const double expectedValue = atof( av[ element++ ] );
const double currentValue = gradient1a[dim];
const double difference = currentValue - expectedValue;
if( vnl_math_abs( difference ) > tolerance )
{
std::cerr << "Error: " << std::endl;
std::cerr << "Expected = " << expectedValue << std::endl;
std::cerr << "Read = " << currentValue << std::endl;
return EXIT_FAILURE;
}
}
}
{ // Compute gradient value taking image direction into account
gradientHelper1->UseImageDirectionOn();
CentralDifferenceImageFunctionType::OutputType gradient1b = gradientHelper1->EvaluateAtIndex( centralIndex );
std::cout << std::endl;
std::cout << "Gradient with Direction" << std::endl;
std::cout << gradient1b << std::endl;
for( unsigned int dim=0; dim < Dimension; ++dim )
{
const double expectedValue = atof( av[ element++ ] );
const double currentValue = gradient1b[dim];
const double difference = currentValue - expectedValue;
if( vnl_math_abs( difference ) > tolerance )
{
std::cerr << "Error: " << std::endl;
std::cerr << "Expected = " << expectedValue << std::endl;
std::cerr << "Read = " << currentValue << std::endl;
return EXIT_FAILURE;
}
}
}
return EXIT_SUCCESS;
}
|
