1 /*=========================================================================
2 Program: vv http://www.creatis.insa-lyon.fr/rio/vv
5 - University of LYON http://www.universite-lyon.fr/
6 - Léon Bérard cancer center http://www.centreleonberard.fr
7 - CREATIS CNRS laboratory http://www.creatis.insa-lyon.fr
9 This software is distributed WITHOUT ANY WARRANTY; without even
10 the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
11 PURPOSE. See the copyright notices for more information.
13 It is distributed under dual licence
15 - BSD See included LICENSE.txt file
16 - CeCILL-B http://www.cecill.info/licences/Licence_CeCILL-B_V1-en.html
17 ===========================================================================**/
18 #ifndef clitkImageStatisticsGenericFilter_txx
19 #define clitkImageStatisticsGenericFilter_txx
21 #include "itkNthElementImageAdaptor.h"
22 #include "itkJoinSeriesImageFilter.h"
24 #include "clitkImageStatisticsGenericFilter.h"
25 #include "clitkCropLikeImageFilter.h"
26 #include "clitkResampleImageWithOptionsFilter.h"
31 //-------------------------------------------------------------------
32 // Update with the number of dimensions
33 //-------------------------------------------------------------------
34 template<unsigned int Dimension, unsigned int Components>
36 ImageStatisticsGenericFilter::UpdateWithDim(std::string PixelType)
38 if (m_Verbose) std::cout << "Image was detected to be "<<Dimension<<"D and "<< PixelType<<" with " << Components << " channel(s)..."<<std::endl;
40 if(PixelType == "short"){
41 if (m_Verbose) std::cout << "Launching filter in "<< Dimension <<"D and signed short..." << std::endl;
42 UpdateWithDimAndPixelType<Dimension, signed short, Components>();
44 else if(PixelType == "unsigned_short"){
45 if (m_Verbose) std::cout << "Launching filter in "<< Dimension <<"D and unsigned_short..." << std::endl;
46 UpdateWithDimAndPixelType<Dimension, unsigned short, Components>();
49 else if (PixelType == "unsigned_char"){
50 if (m_Verbose) std::cout << "Launching filter in "<< Dimension <<"D and unsigned_char..." << std::endl;
51 UpdateWithDimAndPixelType<Dimension, unsigned char, Components>();
54 else if(PixelType == "double"){
55 if (m_Verbose) std::cout << "Launching filter in "<< Dimension <<"D and double..." << std::endl;
56 UpdateWithDimAndPixelType<Dimension, double, Components>();
59 if (m_Verbose) std::cout << "Launching filter in "<< Dimension <<"D and float..." << std::endl;
60 UpdateWithDimAndPixelType<Dimension, float, Components>();
65 //-------------------------------------------------------------------
66 // Update with the number of dimensions and the pixeltype
67 //-------------------------------------------------------------------
68 template <unsigned int Dimension, class PixelType, unsigned int Components>
70 ImageStatisticsGenericFilter::UpdateWithDimAndPixelType()
74 typedef unsigned char LabelPixelType;
75 typedef itk::Image<itk::Vector<PixelType, Components>, Dimension> InputImageType;
76 typedef itk::Image<LabelPixelType, Dimension> LabelImageType;
79 typedef itk::ImageFileReader<InputImageType> InputReaderType;
80 typename InputReaderType::Pointer reader = InputReaderType::New();
81 reader->SetFileName( m_InputFileName);
83 typename InputImageType::Pointer input= reader->GetOutput();
85 typedef itk::NthElementImageAdaptor<InputImageType, PixelType> InputImageAdaptorType;
86 typedef itk::Image<PixelType, Dimension> OutputImageType;
88 typename InputImageAdaptorType::Pointer input_adaptor = InputImageAdaptorType::New();
89 input_adaptor->SetImage(input);
92 typedef itk::LabelStatisticsImageFilter<InputImageAdaptorType, LabelImageType> StatisticsImageFilterType;
93 typename StatisticsImageFilterType::Pointer statisticsFilter=StatisticsImageFilterType::New();
94 statisticsFilter->SetInput(input_adaptor);
97 typename LabelImageType::Pointer labelImage;
98 if (m_ArgsInfo.mask_given) {
99 int maskDimension, maskComponents;
100 std::string maskPixelType;
101 ReadImageDimensionAndPixelType(m_ArgsInfo.mask_arg, maskDimension, maskPixelType, maskComponents);
103 if (maskDimension == Dimension - 1) {
104 // Due to a limitation of filter itk::LabelStatisticsImageFilter, InputImageType and LabelImageType
105 // must have the same image dimension. However, we want to support label images with Dl = Di - 1,
106 // so we need to replicate the label image as many times as the size along dimension Di.
108 std::cout << "Replicating label image to match input image's dimension... " << std::endl;
110 typedef itk::Image<LabelPixelType, Dimension - 1> ReducedLabelImageType;
111 typedef itk::ImageFileReader<ReducedLabelImageType> LabelImageReaderType;
112 typedef itk::JoinSeriesImageFilter<ReducedLabelImageType, LabelImageType> JoinImageFilterType;
114 typename LabelImageReaderType::Pointer labelImageReader=LabelImageReaderType::New();
115 labelImageReader->SetFileName(m_ArgsInfo.mask_arg);
116 labelImageReader->Update();
118 typename JoinImageFilterType::Pointer joinFilter = JoinImageFilterType::New();
119 typename InputImageType::SizeType size = input->GetLargestPossibleRegion().GetSize();
120 for (unsigned int i = 0; i < size[Dimension - 1]; i++)
121 joinFilter->PushBackInput(labelImageReader->GetOutput());
123 joinFilter->Update();
124 labelImage = joinFilter->GetOutput();
127 typedef itk::ImageFileReader<LabelImageType> LabelImageReaderType;
128 typename LabelImageReaderType::Pointer labelImageReader=LabelImageReaderType::New();
129 labelImageReader->SetFileName(m_ArgsInfo.mask_arg);
130 labelImageReader->Update();
131 labelImage= labelImageReader->GetOutput();
133 // Check mask sampling/size
134 if (!HaveSameSizeAndSpacing<LabelImageType, InputImageType>(labelImage, input)) {
135 if (m_ArgsInfo.allow_resize_flag) {
136 if (m_ArgsInfo.verbose_flag) {
137 std::cout << "Resize mask image like input" << std::endl;
139 typedef clitk::ResampleImageWithOptionsFilter<LabelImageType> ResamplerType;
140 typename ResamplerType::Pointer resampler = ResamplerType::New();
141 resampler->SetInput(labelImage);
142 resampler->SetOutputSpacing(input->GetSpacing());
143 resampler->SetOutputOrigin(labelImage->GetOrigin());
144 resampler->SetGaussianFilteringEnabled(false);
146 labelImage = resampler->GetOutput();
147 //writeImage<LabelImageType>(labelImage, "test1.mha");
149 typedef clitk::CropLikeImageFilter<LabelImageType> FilterType;
150 typename FilterType::Pointer crop = FilterType::New();
151 crop->SetInput(labelImage);
152 crop->SetCropLikeImage(input);
154 labelImage = crop->GetOutput();
155 //writeImage<LabelImageType>(labelImage, "test2.mha");
159 std::cerr << "Mask image has a different size/spacing than input. Abort. (Use option to resize)" << std::endl;
168 labelImage=LabelImageType::New();
169 labelImage->SetRegions(input->GetLargestPossibleRegion());
170 labelImage->SetOrigin(input->GetOrigin());
171 labelImage->SetSpacing(input->GetSpacing());
172 labelImage->SetDirection(input->GetDirection());
173 labelImage->Allocate();
174 labelImage->FillBuffer(m_ArgsInfo.label_arg[0]);
176 statisticsFilter->SetLabelInput(labelImage);
178 // Check/compute spacing
179 const typename LabelImageType::SpacingType& spacing = input->GetSpacing();
180 double spacing_cc = (spacing[0]*spacing[1]*spacing[2])/1000;
181 // std::cout<<"Spacing x : " << spacing[0]<<std::endl;
182 // std::cout<<"Spacing y : " << spacing[1]<<std::endl;
183 // std::cout<<"Spacing z : " << spacing[2]<<std::endl;
184 // std::cout <<"spacing_cc : " << spacing_cc << std::endl;
188 typename LabelImageType::PixelType label;
189 unsigned int numberOfLabels;
190 if (m_ArgsInfo.label_given)
191 numberOfLabels=m_ArgsInfo.label_given;
195 unsigned int firstComponent = 0, lastComponent = 0;
196 if (m_ArgsInfo.channel_arg == -1) {
198 lastComponent = Components - 1;
201 firstComponent = m_ArgsInfo.channel_arg;
202 lastComponent = m_ArgsInfo.channel_arg;
205 for (unsigned int c=firstComponent; c<=lastComponent; c++) {
206 if (m_Verbose) std::cout << std::endl << "Processing channel " << c << std::endl;
208 input_adaptor->SelectNthElement(c);
209 input_adaptor->Update();
211 for (unsigned int k=0; k< numberOfLabels; k++) {
212 label=m_ArgsInfo.label_arg[k];
214 std::cout<<std::endl;
215 if (m_Verbose) std::cout<<"-------------"<<std::endl;
216 if (m_Verbose) std::cout<<"| Label: "<< (int) label<<" |"<<std::endl;
217 if (m_Verbose) std::cout<<"-------------"<<std::endl;
220 if (m_ArgsInfo.histogram_given) {
221 statisticsFilter->SetUseHistograms(true);
222 statisticsFilter->SetHistogramParameters(m_ArgsInfo.bins_arg, m_ArgsInfo.lower_arg, m_ArgsInfo.upper_arg);
226 if(m_ArgsInfo.dvhistogram_given)
228 statisticsFilter->SetUseHistograms(true);
229 statisticsFilter->SetHistogramParameters(m_ArgsInfo.bins_arg, m_ArgsInfo.lower_arg, m_ArgsInfo.upper_arg);
232 statisticsFilter->Update();
235 if (m_Verbose) std::cout<<"N° of pixels: ";
236 std::cout<<statisticsFilter->GetCount(label)<<std::endl;
237 if (m_Verbose) std::cout<<"Mean: ";
238 std::cout<<statisticsFilter->GetMean(label)<<std::endl;
239 if (m_Verbose) std::cout<<"SD: ";
240 std::cout<<statisticsFilter->GetSigma(label)<<std::endl;
241 if (m_Verbose) std::cout<<"Variance: ";
242 std::cout<<statisticsFilter->GetVariance(label)<<std::endl;
243 if (m_Verbose) std::cout<<"Min: ";
244 std::cout<<statisticsFilter->GetMinimum(label)<<std::endl;
245 if (m_Verbose) std::cout<<"Max: ";
246 std::cout<<statisticsFilter->GetMaximum(label)<<std::endl;
247 if (m_Verbose) std::cout<<"Sum: ";
248 std::cout<<statisticsFilter->GetSum(label)<<std::endl;
249 if (m_Verbose) std::cout<<"Bounding box: ";
250 for(unsigned int i =0; i <statisticsFilter->GetBoundingBox(label).size(); i++)
251 std::cout<<statisticsFilter->GetBoundingBox(label)[i]<<" ";
252 std::cout<<std::endl;
255 if (m_ArgsInfo.histogram_given)
257 if (m_Verbose) std::cout<<"Median: ";
258 std::cout<<statisticsFilter->GetMedian(label)<<std::endl;
260 typename StatisticsImageFilterType::HistogramPointer histogram =statisticsFilter->GetHistogram(label);
263 if (m_Verbose) std::cout<<"Histogram: "<<std::endl;
264 std::cout<<"# MinBin\tMidBin\tMaxBin\tFrequency"<<std::endl;
265 for( int i =0; i <m_ArgsInfo.bins_arg; i++)
266 std::cout<<histogram->GetBinMin(0,i)<<"\t"<<histogram->GetMeasurement(i,0)<<"\t"<<histogram->GetBinMax(0,i)<<"\t"<<histogram->GetFrequency(i)<<std::endl;
269 std::ofstream histogramFile(m_ArgsInfo.histogram_arg);
270 histogramFile<<"#Histogram: "<<std::endl;
271 histogramFile<<"#MinBin\tMidBin\tMaxBin\tFrequency"<<std::endl;
272 for( int i =0; i <m_ArgsInfo.bins_arg; i++)
273 histogramFile<<histogram->GetBinMin(0,i)<<"\t"<<histogram->GetMeasurement(i,0)<<"\t"<<histogram->GetBinMax(0,i)<<"\t"<<histogram->GetFrequency(i)<<std::endl;
277 if(m_ArgsInfo.dvhistogram_given)
279 typename StatisticsImageFilterType::HistogramPointer dvhistogram = statisticsFilter->GetHistogram(label);
280 double totalVolumeCC = ((statisticsFilter->GetCount(label))*spacing_cc);
281 double totalVolume = statisticsFilter->GetCount(label);
284 std::cout<<"# Total volume : ";
285 std::cout<<totalVolume<<" [No. of voxels]"<<std::endl;
286 std::cout<<"# Total volume : ";
287 std::cout<<totalVolumeCC<<" [cc]"<<std::endl;
288 std::cout<<"# Dose mean: ";
289 std::cout<<statisticsFilter->GetMean(label)<<" [Gy]"<<std::endl;
290 std::cout<<"# Dose min: ";
291 std::cout<<statisticsFilter->GetMinimum(label)<<" [Gy]"<<std::endl;
292 std::cout<<"# Dose max: ";
293 std::cout<<statisticsFilter->GetMaximum(label)<<" [Gy]"<<std::endl;
294 std::cout<<" "<<std::endl;
295 std::cout<<"#Dose_diff[Gy] Volume_diff[No. of voxels] Volume_diff[%] Volume_diff[cc] Volume_cumul[No. of voxels] Volume_cumul[%] Volume_cumul[cc]"<<std::endl;
296 for( int i =0; i <m_ArgsInfo.bins_arg; i++)
298 double popCumulativeVolume = 0;
299 for(int j=0; j<i; j++)
301 popCumulativeVolume+=(dvhistogram->GetFrequency(j));
303 double cumulativeVolume = (totalVolume - (popCumulativeVolume + (dvhistogram->GetFrequency(i))));
304 double percentCumulativeVolume =(cumulativeVolume*100)/(statisticsFilter->GetCount(label)) ;
305 double ccCumulativeVolume = (totalVolumeCC -((popCumulativeVolume + (dvhistogram->GetFrequency(i)))*spacing_cc));
306 double percentDiffVolume = dvhistogram->GetFrequency(i)*100/(statisticsFilter->GetCount(label));
307 std::cout<<dvhistogram->GetBinMax(0,i)<<"\t "<<dvhistogram->GetFrequency(i)<<"\t "<<percentDiffVolume<<"\t "<<((dvhistogram->GetFrequency(i))*spacing_cc)<<"\t "<<"\t "<<cumulativeVolume<<"\t "<<percentCumulativeVolume<<"\t "<<ccCumulativeVolume<<"\t "<<std::endl;
311 std::ofstream dvhistogramFile(m_ArgsInfo.dvhistogram_arg);
312 dvhistogramFile<<"# Total volume : ";
313 dvhistogramFile<<statisticsFilter->GetCount(label)<<" [No. of voxels]"<<std::endl;
314 dvhistogramFile<<"# Total volume : ";
315 dvhistogramFile<<totalVolumeCC<<" [cc]"<<std::endl;
316 dvhistogramFile<<"# Dose mean: ";
317 dvhistogramFile<<statisticsFilter->GetMean(label)<<" [Gy]"<<std::endl;
318 dvhistogramFile<<"# Dose min: ";
319 dvhistogramFile<<statisticsFilter->GetMinimum(label)<<" [Gy]"<<std::endl;
320 dvhistogramFile<<"# Dose max: ";
321 dvhistogramFile<<statisticsFilter->GetMaximum(label)<<" [Gy]"<<std::endl;
322 dvhistogramFile<<" "<<std::endl;
323 dvhistogramFile<<"#Dose_diff[Gy] Volume_diff[No. of voxels] Volume_diff[%] Volume_diff[cc] Volume_cumul[No. of voxels] Volume_cumul[%] Volume_cumul[cc]"<<std::endl;
324 for( int i =0; i <m_ArgsInfo.bins_arg; i++)
326 double popCumulativeVolume = 0;
327 for(int j=0; j<i; j++)
329 popCumulativeVolume+=(dvhistogram->GetFrequency(j));
331 double cumulativeVolume = (totalVolume - (popCumulativeVolume + (dvhistogram->GetFrequency(i))));
332 double percentCumulativeVolume =(cumulativeVolume*100)/(statisticsFilter->GetCount(label));
333 double ccCumulativeVolume = (totalVolumeCC -((popCumulativeVolume + (dvhistogram->GetFrequency(i)))*spacing_cc));
334 double percentDiffVolume = ((dvhistogram->GetFrequency(i))*100)/(statisticsFilter->GetCount(label));
335 dvhistogramFile<<dvhistogram->GetBinMax(0,i)<<"\t "<<dvhistogram->GetFrequency(i)<<"\t "<<percentDiffVolume<<"\t "<<((dvhistogram->GetFrequency(i))*spacing_cc)<<"\t "<<cumulativeVolume<<"\t "<<percentCumulativeVolume<<"\t "<<ccCumulativeVolume<<std::endl;
348 #endif //#define clitkImageStatisticsGenericFilter_txx