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
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
|
/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkAccumulateImageFilter.txx
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.
=========================================================================*/
#ifndef __itkAccumulateImageFilter_txx
#define __itkAccumulateImageFilter_txx
#include "itkAccumulateImageFilter.h"
#include "itkImageRegionIterator.h"
#include "itkImageRegionConstIterator.h"
namespace itk
{
/**
* Constructor
*/
template <class TInputImage, class TOutputImage >
AccumulateImageFilter<TInputImage,TOutputImage >
::AccumulateImageFilter()
{
m_AccumulateDimension = InputImageDimension-1;
m_Average = false;
}
template <class TInputImage, class TOutputImage>
void
AccumulateImageFilter<TInputImage,TOutputImage>
::GenerateOutputInformation()
{
itkDebugMacro("GenerateOutputInformation Start");
typename TOutputImage::RegionType outputRegion;
typename TInputImage::IndexType inputIndex;
typename TInputImage::SizeType inputSize;
typename TOutputImage::SizeType outputSize;
typename TOutputImage::IndexType outputIndex;
typename TInputImage::SpacingType inSpacing;
typename TInputImage::PointType inOrigin;
typename TOutputImage::SpacingType outSpacing;
typename TOutputImage::PointType outOrigin;
// Get pointers to the input and output
typename Superclass::OutputImagePointer output = this->GetOutput();
typename Superclass::InputImagePointer input = const_cast< TInputImage * >( this->GetInput() );
if( !input || !output )
{
return;
}
inputIndex = input->GetLargestPossibleRegion().GetIndex();
inputSize = input->GetLargestPossibleRegion().GetSize();
inSpacing = input->GetSpacing();
inOrigin = input->GetOrigin();
// Set the LargestPossibleRegion of the output.
// Reduce the size of the accumulated dimension.
for(unsigned int i = 0; i<InputImageDimension; i++)
{
if (i != m_AccumulateDimension)
{
outputSize[i] = inputSize[i];
outputIndex[i] = inputIndex[i];
outSpacing[i] = inSpacing[i];
outOrigin[i] = inOrigin[i];
}
else
{
outputSize[i] = 1;
outputIndex[i] = 0;
outSpacing[i] = inSpacing[i]*inputSize[i];
outOrigin[i] = inOrigin[i] + (i-1)*inSpacing[i]/2;
}
}
outputRegion.SetSize(outputSize);
outputRegion.SetIndex(outputIndex);
output->SetOrigin(outOrigin);
output->SetSpacing(outSpacing);
output->SetLargestPossibleRegion(outputRegion);
itkDebugMacro("GenerateOutputInformation End");
}
template <class TInputImage, class TOutputImage>
void
AccumulateImageFilter<TInputImage,TOutputImage>
::GenerateInputRequestedRegion()
{
itkDebugMacro("GenerateInputRequestedRegion Start");
Superclass::GenerateInputRequestedRegion();
if ( this->GetInput() )
{
typename TInputImage::RegionType RequestedRegion;
typename TInputImage::SizeType inputSize;
typename TInputImage::IndexType inputIndex;
typename TInputImage::SizeType inputLargSize;
typename TInputImage::IndexType inputLargIndex;
typename TOutputImage::SizeType outputSize;
typename TOutputImage::IndexType outputIndex;
outputIndex = this->GetOutput()->GetRequestedRegion().GetIndex();
outputSize = this->GetOutput()->GetRequestedRegion().GetSize();
inputLargSize = this->GetInput()->GetLargestPossibleRegion().GetSize();
inputLargIndex = this->GetInput()->GetLargestPossibleRegion().GetIndex();
for(unsigned int i=0; i<TInputImage::ImageDimension; i++)
{
if(i!=m_AccumulateDimension)
{
inputSize[i] = outputSize[i];
inputIndex[i] = outputIndex[i];
}
else
{
inputSize[i]=inputLargSize[i];
inputIndex[i]=inputLargIndex[i];
}
}
RequestedRegion.SetSize(inputSize);
RequestedRegion.SetIndex(inputIndex);
InputImagePointer input = const_cast< TInputImage * > ( this->GetInput() );
input->SetRequestedRegion (RequestedRegion);
}
itkDebugMacro("GenerateInputRequestedRegion End");
}
/**
* GenerateData Performs the accumulation
*/
template <class TInputImage, class TOutputImage >
void
AccumulateImageFilter<TInputImage,TOutputImage>
::GenerateData( void )
{
if(m_AccumulateDimension>=TInputImage::ImageDimension)
{
itkExceptionMacro(<<"AccumulateImageFilter: invalid dimension to accumulate. AccumulateDimension = " << m_AccumulateDimension);
}
typedef typename TOutputImage::PixelType OutputPixelType;
typedef typename NumericTraits<OutputPixelType>::AccumulateType AccumulateType;
typename Superclass::InputImageConstPointer inputImage = this->GetInput();
typename TOutputImage::Pointer outputImage = this->GetOutput();
outputImage->SetBufferedRegion( outputImage->GetRequestedRegion() );
outputImage->Allocate();
// Accumulate over the Nth dimension ( = m_AccumulateDimension)
// and divide by the size of the accumulated dimension.
typedef ImageRegionIterator<TOutputImage> outputIterType;
outputIterType outputIter(outputImage, outputImage->GetBufferedRegion());
typedef ImageRegionConstIterator<TInputImage> inputIterType;
typename TInputImage::RegionType AccumulatedRegion;
typename TInputImage::SizeType AccumulatedSize = inputImage->GetLargestPossibleRegion().GetSize();
typename TInputImage::IndexType AccumulatedIndex = inputImage->GetLargestPossibleRegion().GetIndex();
unsigned long SizeAccumulateDimension = AccumulatedSize[m_AccumulateDimension];
double SizeAccumulateDimensionDouble = static_cast<double>(SizeAccumulateDimension);
long IndexAccumulateDimension = AccumulatedIndex[m_AccumulateDimension];
for(unsigned int i=0; i< InputImageDimension; i++)
{
if (i != m_AccumulateDimension )
{
AccumulatedSize[i] = 1;
}
}
AccumulatedRegion.SetSize(AccumulatedSize);
outputIter.GoToBegin();
while(!outputIter.IsAtEnd())
{
typename TOutputImage::IndexType OutputIndex = outputIter.GetIndex();
for(unsigned int i=0; i<InputImageDimension; i++)
{
if (i != m_AccumulateDimension)
{
AccumulatedIndex[i] = OutputIndex[i];
}
else
{
AccumulatedIndex[i] = IndexAccumulateDimension;
}
}
AccumulatedRegion.SetIndex(AccumulatedIndex);
inputIterType inputIter(inputImage, AccumulatedRegion);
inputIter.GoToBegin();
AccumulateType Value=NumericTraits<AccumulateType>::ZeroValue();
while(!inputIter.IsAtEnd())
{
Value += static_cast<AccumulateType>(inputIter.Get());
++inputIter;
}
if (m_Average)
{
outputIter.Set( static_cast<OutputPixelType>(Value / SizeAccumulateDimensionDouble) );
}
else
{
outputIter.Set (static_cast<OutputPixelType>(Value));
}
++outputIter;
}
}
template <class TInputImage, class TOutputImage >
void
AccumulateImageFilter<TInputImage,TOutputImage>::
PrintSelf(std::ostream& os, Indent indent) const
{
Superclass::PrintSelf(os,indent);
os << indent << "AccumulateDimension: " << m_AccumulateDimension << std::endl;
os << indent << "Average: " << (m_Average ? "On" : "Off") << std::endl;
}
} // end namespace itk
#endif
|
