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
|
/*=========================================================================
*
* 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 "itkHessianRecursiveGaussianImageFilter.h"
#include "itkHessian3DToVesselnessMeasureImageFilter.h"
int itkHessian3DToVesselnessMeasureImageFilterTest(int, char* [] )
{
// Define the dimension of the images
const unsigned int myDimension = 3;
// Declare the types of the images
typedef itk::Image<float, myDimension> myImageType;
// Declare the type of the index to access images
typedef itk::Index<myDimension> myIndexType;
// Declare the type of the size
typedef itk::Size<myDimension> mySizeType;
// Declare the type of the Region
typedef itk::ImageRegion<myDimension> myRegionType;
// Create the image
myImageType::Pointer inputImage = myImageType::New();
// Define their size, and start index
mySizeType size;
size[0] = 8;
size[1] = 8;
size[2] = 8;
myIndexType start;
start.Fill(0);
myRegionType region;
region.SetIndex( start );
region.SetSize( size );
// Initialize Image A
inputImage->SetLargestPossibleRegion( region );
inputImage->SetBufferedRegion( region );
inputImage->SetRequestedRegion( region );
inputImage->Allocate();
// Declare Iterator type for the input image
typedef itk::ImageRegionIteratorWithIndex<myImageType> myIteratorType;
// Create one iterator for the Input Image A (this is a light object)
myIteratorType it( inputImage, inputImage->GetRequestedRegion() );
// Initialize the content of Image A
while( !it.IsAtEnd() )
{
it.Set( 0.0 );
++it;
}
size[0] = 1;
size[1] = 8;
size[2] = 1;
start[0] = 3;
start[1] = 0;
start[2] = 3;
// Create one iterator for an internal region
region.SetSize( size );
region.SetIndex( start );
myIteratorType itb( inputImage, region );
// Initialize the content the internal region
while( !itb.IsAtEnd() )
{
itb.Set( 100.0 );
++itb;
}
// Declare the type for the Hessian filter
typedef itk::HessianRecursiveGaussianImageFilter<
myImageType > myHessianFilterType;
// Declare the type for the vesselness filter
typedef itk::Hessian3DToVesselnessMeasureImageFilter<
float > myVesselnessFilterType;
typedef myVesselnessFilterType::OutputImageType myVesselnessImageType;
// Create a Hessian Filter
myHessianFilterType::Pointer filterHessian = myHessianFilterType::New();
// Create a vesselness Filter
myVesselnessFilterType::Pointer filterVesselness = myVesselnessFilterType::New();
// Connect the input images
filterHessian->SetInput( inputImage );
filterVesselness->SetInput( filterHessian->GetOutput() );
// Select the value of Sigma
filterHessian->SetSigma( 0.5 );
// Execute the filter
filterVesselness->Update();
// Get the Smart Pointer to the Filter Output
// It is important to do it AFTER the filter is Updated
// Because the object connected to the output may be changed
// by another during GenerateData() call
myVesselnessImageType::Pointer outputImage = filterVesselness->GetOutput();
// Declare Iterator type for the output image
typedef itk::ImageRegionIteratorWithIndex<
myVesselnessImageType> myOutputIteratorType;
// Create an iterator for going through the output image
myOutputIteratorType itg( outputImage,
outputImage->GetRequestedRegion() );
// Print the content of the result image
std::cout << " Result " << std::endl;
itg.GoToBegin();
while( !itg.IsAtEnd() )
{
std::cout << itg.Get() << " ";
++itg;
}
return EXIT_SUCCESS;
}
|
