X-Git-Url: https://git.creatis.insa-lyon.fr/pubgit/?a=blobdiff_plain;f=tools%2FclitkImageStatisticsGenericFilter.txx;h=82a11ab5355a86134a3a6cc666ff9136b04dc423;hb=342abd5c807dab47a30d8369aca8f7e5c9242b2b;hp=0f52d866973a739af9dbf0cce69da6044168f89d;hpb=765020625fbc092d283e221e36c83e60a1844cb7;p=clitk.git

diff --git a/tools/clitkImageStatisticsGenericFilter.txx b/tools/clitkImageStatisticsGenericFilter.txx
old mode 100755
new mode 100644
index 0f52d86..82a11ab
--- a/tools/clitkImageStatisticsGenericFilter.txx
+++ b/tools/clitkImageStatisticsGenericFilter.txx
@@ -1,7 +1,7 @@
 /*=========================================================================
   Program:   vv                     http://www.creatis.insa-lyon.fr/rio/vv
 
-  Authors belong to: 
+  Authors belong to:
   - University of LYON              http://www.universite-lyon.fr/
   - Léon Bérard cancer center       http://www.centreleonberard.fr
   - CREATIS CNRS laboratory         http://www.creatis.insa-lyon.fr
@@ -18,15 +18,13 @@
 #ifndef clitkImageStatisticsGenericFilter_txx
 #define clitkImageStatisticsGenericFilter_txx
 
-/* =================================================
- * @file   clitkImageStatisticsGenericFilter.txx
- * @author 
- * @date   
- * 
- * @brief 
- * 
- ===================================================*/
+#include "itkNthElementImageAdaptor.h"
+#include "itkJoinSeriesImageFilter.h"
+#include "itkImageRegionConstIterator.h"
 
+#include "clitkImageStatisticsGenericFilter.h"
+#include "clitkCropLikeImageFilter.h"
+#include "clitkResampleImageWithOptionsFilter.h"
 
 namespace clitk
 {
@@ -34,33 +32,33 @@ namespace clitk
   //-------------------------------------------------------------------
   // Update with the number of dimensions
   //-------------------------------------------------------------------
-  template<unsigned int Dimension>
-  void 
+  template<unsigned int Dimension, unsigned int Components>
+  void
   ImageStatisticsGenericFilter::UpdateWithDim(std::string PixelType)
   {
-    if (m_Verbose) std::cout << "Image was detected to be "<<Dimension<<"D and "<< PixelType<<"..."<<std::endl;
+    if (m_Verbose) std::cout << "Image was detected to be "<<Dimension<<"D and "<< PixelType<<" with " << Components << " channel(s)..."<<std::endl;
 
-    if(PixelType == "short"){  
+    if(PixelType == "short"){
       if (m_Verbose) std::cout << "Launching filter in "<< Dimension <<"D and signed short..." << std::endl;
-      UpdateWithDimAndPixelType<Dimension, signed short>(); 
+      UpdateWithDimAndPixelType<Dimension, signed short, Components>();
     }
-    //    else if(PixelType == "unsigned_short"){  
-    //       if (m_Verbose) std::cout  << "Launching filter in "<< Dimension <<"D and unsigned_short..." << std::endl;
-    //       UpdateWithDimAndPixelType<Dimension, unsigned short>(); 
-    //     }
-    
-    else if (PixelType == "unsigned_char"){ 
+    else if(PixelType == "unsigned_short"){
+      if (m_Verbose) std::cout  << "Launching filter in "<< Dimension <<"D and unsigned_short..." << std::endl;
+      UpdateWithDimAndPixelType<Dimension, unsigned short, Components>();
+    }
+
+    else if (PixelType == "unsigned_char"){
       if (m_Verbose) std::cout  << "Launching filter in "<< Dimension <<"D and unsigned_char..." << std::endl;
-      UpdateWithDimAndPixelType<Dimension, unsigned char>();
+      UpdateWithDimAndPixelType<Dimension, unsigned char, Components>();
+    }
+
+    else if(PixelType == "double"){
+      if (m_Verbose) std::cout << "Launching filter in "<< Dimension <<"D and double..." << std::endl;
+      UpdateWithDimAndPixelType<Dimension, double, Components>();
     }
-    
-    //     else if (PixelType == "char"){ 
-    //       if (m_Verbose) std::cout  << "Launching filter in "<< Dimension <<"D and signed_char..." << std::endl;
-    //       UpdateWithDimAndPixelType<Dimension, signed char>();
-    //     }
     else {
       if (m_Verbose) std::cout  << "Launching filter in "<< Dimension <<"D and float..." << std::endl;
-      UpdateWithDimAndPixelType<Dimension, float>();
+      UpdateWithDimAndPixelType<Dimension, float, Components>();
     }
   }
 
@@ -68,16 +66,16 @@ namespace clitk
   //-------------------------------------------------------------------
   // Update with the number of dimensions and the pixeltype
   //-------------------------------------------------------------------
-  template <unsigned int Dimension, class  PixelType> 
-  void 
+  template <unsigned int Dimension, class  PixelType, unsigned int Components>
+  void
   ImageStatisticsGenericFilter::UpdateWithDimAndPixelType()
   {
 
     // ImageTypes
-    typedef itk::Image<PixelType, Dimension> InputImageType;
-    typedef itk::Image<unsigned int, Dimension> LabelImageType;
-    typedef itk::Image<PixelType, Dimension> OutputImageType;
-    
+    typedef unsigned char LabelPixelType;
+    typedef itk::Image<itk::Vector<PixelType, Components>, Dimension> InputImageType;
+    typedef itk::Image<LabelPixelType, Dimension> LabelImageType;
+
     // Read the input
     typedef itk::ImageFileReader<InputImageType> InputReaderType;
     typename InputReaderType::Pointer reader = InputReaderType::New();
@@ -85,32 +83,109 @@ namespace clitk
     reader->Update();
     typename InputImageType::Pointer input= reader->GetOutput();
 
+    typedef itk::NthElementImageAdaptor<InputImageType, PixelType> InputImageAdaptorType;
+    typedef itk::Image<PixelType, Dimension> OutputImageType;
+
+    typename InputImageAdaptorType::Pointer input_adaptor = InputImageAdaptorType::New();
+    input_adaptor->SetImage(input);
+
     // Filter
-    typedef itk::LabelStatisticsImageFilter<InputImageType, LabelImageType> StatisticsImageFilterType;
+    typedef itk::LabelStatisticsImageFilter<InputImageAdaptorType, LabelImageType> StatisticsImageFilterType;
     typename StatisticsImageFilterType::Pointer statisticsFilter=StatisticsImageFilterType::New();
-    statisticsFilter->SetInput(input);
+    statisticsFilter->SetInput(input_adaptor);
 
     // Label image
     typename LabelImageType::Pointer labelImage;
-    if (m_ArgsInfo.mask_given)
-      {
-	typedef itk::ImageFileReader<LabelImageType> LabelImageReaderType;
-	typename LabelImageReaderType::Pointer labelImageReader=LabelImageReaderType::New();
-	labelImageReader->SetFileName(m_ArgsInfo.mask_arg);
-	labelImageReader->Update();
-	labelImage= labelImageReader->GetOutput();
+    if (m_ArgsInfo.mask_given) {
+      int maskDimension, maskComponents;
+      std::string maskPixelType;
+      ReadImageDimensionAndPixelType(m_ArgsInfo.mask_arg, maskDimension, maskPixelType, maskComponents);
+
+      if (maskDimension == Dimension - 1) {
+        // Due to a limitation of filter itk::LabelStatisticsImageFilter, InputImageType and LabelImageType
+        // must have the same image dimension. However, we want to support label images with Dl = Di - 1,
+        // so we need to replicate the label image as many times as the size along dimension Di.
+        if (m_Verbose)
+          std::cout << "Replicating label image to match input image's dimension... " << std::endl;
+
+        typedef itk::Image<LabelPixelType, Dimension - 1> ReducedLabelImageType;
+        typedef itk::ImageFileReader<ReducedLabelImageType> LabelImageReaderType;
+        typedef itk::JoinSeriesImageFilter<ReducedLabelImageType, LabelImageType> JoinImageFilterType;
+
+        typename LabelImageReaderType::Pointer labelImageReader=LabelImageReaderType::New();
+        labelImageReader->SetFileName(m_ArgsInfo.mask_arg);
+        labelImageReader->Update();
+
+        typename JoinImageFilterType::Pointer joinFilter = JoinImageFilterType::New();
+        typename InputImageType::SizeType size = input->GetLargestPossibleRegion().GetSize();
+        for (unsigned int i = 0; i < size[Dimension - 1]; i++)
+          joinFilter->PushBackInput(labelImageReader->GetOutput());
+
+        joinFilter->Update();
+        labelImage = joinFilter->GetOutput();
       }
-    else
-      { 
-	labelImage=LabelImageType::New();
-	labelImage->SetRegions(input->GetLargestPossibleRegion());
-	labelImage->SetOrigin(input->GetOrigin());
-	labelImage->SetSpacing(input->GetSpacing());
-	labelImage->Allocate();
-	labelImage->FillBuffer(m_ArgsInfo.label_arg[0]);
+      else {
+        typedef itk::ImageFileReader<LabelImageType> LabelImageReaderType;
+        typename LabelImageReaderType::Pointer labelImageReader=LabelImageReaderType::New();
+        labelImageReader->SetFileName(m_ArgsInfo.mask_arg);
+        labelImageReader->Update();
+        labelImage= labelImageReader->GetOutput();
+
+        // Check mask sampling/size
+        if (!HaveSameSizeAndSpacing<LabelImageType, InputImageType>(labelImage, input)) {
+          if (m_ArgsInfo.allow_resize_flag) {
+            if (m_ArgsInfo.verbose_flag) {
+              std::cout << "Resize mask image like input" << std::endl;
+            }
+            typedef clitk::ResampleImageWithOptionsFilter<LabelImageType> ResamplerType;
+            typename ResamplerType::Pointer resampler = ResamplerType::New();
+            resampler->SetInput(labelImage);
+            resampler->SetOutputSpacing(input->GetSpacing());
+            resampler->SetOutputOrigin(labelImage->GetOrigin());
+            resampler->SetGaussianFilteringEnabled(false);
+            resampler->Update();
+            labelImage = resampler->GetOutput();
+            //writeImage<LabelImageType>(labelImage, "test1.mha");
+
+            typedef clitk::CropLikeImageFilter<LabelImageType> FilterType;
+            typename FilterType::Pointer crop = FilterType::New();
+            crop->SetInput(labelImage);
+            crop->SetCropLikeImage(input);
+            crop->Update();
+            labelImage = crop->GetOutput();
+            //writeImage<LabelImageType>(labelImage, "test2.mha");
+
+          }
+          else {
+            std::cerr << "Mask image has a different size/spacing than input. Abort. (Use option to resize)" << std::endl;
+            exit(-1);
+          }
+        }
+
       }
+
+    }
+    else {
+      labelImage=LabelImageType::New();
+      labelImage->SetDirection(input->GetDirection());
+      labelImage->SetRegions(input->GetLargestPossibleRegion());
+      labelImage->SetOrigin(input->GetOrigin());
+      labelImage->SetSpacing(input->GetSpacing());
+      labelImage->SetDirection(input->GetDirection());
+      labelImage->Allocate();
+      labelImage->FillBuffer(m_ArgsInfo.label_arg[0]);
+    }
     statisticsFilter->SetLabelInput(labelImage);
 
+    // Check/compute spacing
+    const typename LabelImageType::SpacingType& spacing = input->GetSpacing();
+    double spacing_cc = (spacing[0]*spacing[1]*spacing[2])/1000;
+    // std::cout<<"Spacing x : " << spacing[0]<<std::endl;
+    // std::cout<<"Spacing y :  " << spacing[1]<<std::endl;
+    // std::cout<<"Spacing z :  " << spacing[2]<<std::endl;
+    // std::cout <<"spacing_cc : " << spacing_cc << std::endl;
+
+
     // For each Label
     typename LabelImageType::PixelType label;
     unsigned int numberOfLabels;
@@ -119,80 +194,180 @@ namespace clitk
     else
       numberOfLabels=1;
 
-    for (unsigned int k=0; k< numberOfLabels; k++)
-      {
-	label=m_ArgsInfo.label_arg[k];
-
-	std::cout<<std::endl;
-	if (m_Verbose) std::cout<<"-------------"<<std::endl;
-	if (m_Verbose) std::cout<<"| Label: "<<label<<"  |"<<std::endl;
-	if (m_Verbose) std::cout<<"-------------"<<std::endl;
-	
-	// Histograms
-	if (m_ArgsInfo.histogram_given)
-	  {
-	    statisticsFilter->SetUseHistograms(true);
-	    statisticsFilter->SetHistogramParameters(m_ArgsInfo.bins_arg, m_ArgsInfo.lower_arg, m_ArgsInfo.upper_arg);
-	  }
-	statisticsFilter->Update();
-
-
-	// Output
-	if (m_Verbose) std::cout<<"N° of pixels: ";
-	std::cout<<statisticsFilter->GetCount(label)<<std::endl;
-
-	if (m_Verbose) std::cout<<"Mean: ";
-	std::cout<<statisticsFilter->GetMean(label)<<std::endl;
-    
-	if (m_Verbose) std::cout<<"SD: ";
-	std::cout<<statisticsFilter->GetSigma(label)<<std::endl;
-
-	if (m_Verbose) std::cout<<"Variance: ";
-	std::cout<<statisticsFilter->GetVariance(label)<<std::endl;
-
-	if (m_Verbose) std::cout<<"Min: ";
-	std::cout<<statisticsFilter->GetMinimum(label)<<std::endl;
-
-	if (m_Verbose) std::cout<<"Max: ";
-	std::cout<<statisticsFilter->GetMaximum(label)<<std::endl;
-
-	if (m_Verbose) std::cout<<"Sum: ";
-	std::cout<<statisticsFilter->GetSum(label)<<std::endl;
-
-	if (m_Verbose) std::cout<<"Bounding box: ";
-	for(unsigned int i =0; i <statisticsFilter->GetBoundingBox(label).size(); i++)
-	  std::cout<<statisticsFilter->GetBoundingBox(label)[i]<<" ";
-	std::cout<<std::endl;
-
-
-	// Histogram
-	if (m_ArgsInfo.histogram_given)
-	  {
-	    if (m_Verbose) std::cout<<"Median: ";
-	    std::cout<<statisticsFilter->GetMedian(label)<<std::endl;
-
-	    typename StatisticsImageFilterType::HistogramPointer histogram =statisticsFilter->GetHistogram(label);
-	    
-	    // Screen
-	    if (m_Verbose) std::cout<<"Histogram: "<<std::endl;
-	    std::cout<<"# MinBin\tMidBin\tMaxBin\tFrequency"<<std::endl;
-	    for( int i =0; i <m_ArgsInfo.bins_arg; i++)
-	      std::cout<<histogram->GetBinMin(0,i)<<"\t"<<histogram->GetMeasurement(i,0)<<"\t"<<histogram->GetBinMax(0,i)<<"\t"<<histogram->GetFrequency(i)<<std::endl;
-	  
-	    // Add to the file
-	    std::ofstream histogramFile(m_ArgsInfo.histogram_arg);
-	    histogramFile<<"#Histogram: "<<std::endl;
-	    histogramFile<<"#MinBin\tMidBin\tMaxBin\tFrequency"<<std::endl;
-	    for( int i =0; i <m_ArgsInfo.bins_arg; i++)
-	      histogramFile<<histogram->GetBinMin(0,i)<<"\t"<<histogram->GetMeasurement(i,0)<<"\t"<<histogram->GetBinMax(0,i)<<"\t"<<histogram->GetFrequency(i)<<std::endl;
-	  }
+    unsigned int firstComponent = 0, lastComponent = 0;
+    if (m_ArgsInfo.channel_arg == -1) {
+      firstComponent = 0;
+      lastComponent = Components - 1;
+    }
+    else {
+      firstComponent = m_ArgsInfo.channel_arg;
+      lastComponent = m_ArgsInfo.channel_arg;
+    }
+
+    for (unsigned int c=firstComponent; c<=lastComponent; c++) {
+      if (m_Verbose) std::cout << std::endl << "Processing channel " << c << std::endl;
+
+      input_adaptor->SelectNthElement(c);
+      input_adaptor->Update();
+
+      for (unsigned int k=0; k< numberOfLabels; k++) {
+        label=m_ArgsInfo.label_arg[k];
+
+        std::cout<<std::endl;
+        if (m_Verbose) std::cout<<"-------------"<<std::endl;
+        if (m_Verbose) std::cout<<"| Label: "<< (int) label<<"  |"<<std::endl;
+        if (m_Verbose) std::cout<<"-------------"<<std::endl;
+
+        // Histograms
+        if (m_ArgsInfo.histogram_given) {
+          statisticsFilter->SetUseHistograms(true);
+          statisticsFilter->SetHistogramParameters(m_ArgsInfo.bins_arg, m_ArgsInfo.lower_arg, m_ArgsInfo.upper_arg);
+        }
+
+        // DVH
+        if(m_ArgsInfo.dvhistogram_given)
+        {
+          statisticsFilter->SetUseHistograms(true);
+          statisticsFilter->SetHistogramParameters(m_ArgsInfo.bins_arg, m_ArgsInfo.lower_arg, m_ArgsInfo.upper_arg);
+        }
+
+        statisticsFilter->Update();
+
+        //find localization for max and min (the last pixel found)
+        typename InputImageType::IndexType minIndex, maxIndex;
+        if (m_Verbose && m_Localize) {
+          itk::ImageRegionConstIterator<InputImageAdaptorType> imageIterator(input_adaptor,input_adaptor->GetLargestPossibleRegion());
+          while(!imageIterator.IsAtEnd()) {
+            if (imageIterator.Get() == statisticsFilter->GetMinimum(label))
+              minIndex = imageIterator.GetIndex();
+            if (imageIterator.Get() == statisticsFilter->GetMaximum(label))
+              maxIndex = imageIterator.GetIndex();
+            ++imageIterator;
+          }
+        }
+
+        // Output
+        if (m_Verbose) std::cout<<"N° of pixels: ";
+        std::cout<<statisticsFilter->GetCount(label)<<std::endl;
+        if (m_Verbose) std::cout<<"Mean: ";
+        std::cout<<statisticsFilter->GetMean(label)<<std::endl;
+        if (m_Verbose) std::cout<<"SD: ";
+        std::cout<<statisticsFilter->GetSigma(label)<<std::endl;
+        if (m_Verbose) std::cout<<"Variance: ";
+        std::cout<<statisticsFilter->GetVariance(label)<<std::endl;
+        if (m_Verbose) std::cout<<"Min: ";
+        std::cout<<statisticsFilter->GetMinimum(label)<<std::endl;
+        if (m_Verbose && m_Localize) {
+          std::cout<<"        in voxel of index: ";
+          std::cout<<minIndex<<std::endl;
+        }
+        if (m_Verbose) std::cout<<"Max: ";
+        std::cout<<statisticsFilter->GetMaximum(label)<<std::endl;
+        if (m_Verbose && m_Localize) {
+          std::cout<<"        in voxel of index: ";
+          std::cout<<maxIndex<<std::endl;
+        }
+        if (m_Verbose) std::cout<<"Sum: ";
+        std::cout<<statisticsFilter->GetSum(label)<<std::endl;
+        if (m_Verbose) std::cout<<"Volume (cc): ";
+        std::cout<<statisticsFilter->GetCount(label)*spacing_cc<<std::endl;
+        if (m_Verbose) std::cout<<"Bounding box: ";
+        for(unsigned int i =0; i <statisticsFilter->GetBoundingBox(label).size(); i++)
+            std::cout<<statisticsFilter->GetBoundingBox(label)[i]<<" ";
+        std::cout<<std::endl;
+
+        // Histogram
+        if (m_ArgsInfo.histogram_given)
+        {
+          if (m_Verbose) std::cout<<"Median: ";
+          std::cout<<statisticsFilter->GetMedian(label)<<std::endl;
+
+          typename StatisticsImageFilterType::HistogramPointer histogram =statisticsFilter->GetHistogram(label);
+
+          // Screen
+          if (m_Verbose) std::cout<<"Histogram: "<<std::endl;
+            std::cout<<"# MinBin\tMidBin\tMaxBin\tFrequency"<<std::endl;
+          for( int i =0; i <m_ArgsInfo.bins_arg; i++)
+            std::cout<<histogram->GetBinMin(0,i)<<"\t"<<histogram->GetMeasurement(i,0)<<"\t"<<histogram->GetBinMax(0,i)<<"\t"<<histogram->GetFrequency(i)<<std::endl;
+
+          // Add to the file
+          std::ofstream histogramFile(m_ArgsInfo.histogram_arg);
+          histogramFile<<"#Histogram: "<<std::endl;
+          histogramFile<<"#MinBin\tMidBin\tMaxBin\tFrequency"<<std::endl;
+          for( int i =0; i <m_ArgsInfo.bins_arg; i++)
+            histogramFile<<histogram->GetBinMin(0,i)<<"\t"<<histogram->GetMeasurement(i,0)<<"\t"<<histogram->GetBinMax(0,i)<<"\t"<<histogram->GetFrequency(i)<<std::endl;
+        }
+
+        // DVH
+        if(m_ArgsInfo.dvhistogram_given)
+        {
+            typename StatisticsImageFilterType::HistogramPointer dvhistogram = statisticsFilter->GetHistogram(label);
+            double totalVolumeCC = ((statisticsFilter->GetCount(label))*spacing_cc);
+            double totalVolume = statisticsFilter->GetCount(label);
+
+            // Screen
+            std::cout<<"# Total volume : ";
+            std::cout<<totalVolume<<" [No. of voxels]"<<std::endl;
+            std::cout<<"# Total volume : ";
+            std::cout<<totalVolumeCC<<" [cc]"<<std::endl;
+            std::cout<<"# Dose mean: ";
+            std::cout<<statisticsFilter->GetMean(label)<<" [Gy]"<<std::endl;
+            std::cout<<"# Dose min: ";
+            std::cout<<statisticsFilter->GetMinimum(label)<<" [Gy]"<<std::endl;
+            std::cout<<"# Dose max: ";
+            std::cout<<statisticsFilter->GetMaximum(label)<<" [Gy]"<<std::endl;
+            std::cout<<" "<<std::endl;
+            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;
+            for( int i =0; i <m_ArgsInfo.bins_arg; i++)
+            {
+              double popCumulativeVolume = 0;
+              for(int j=0; j<i; j++)
+              {
+                 popCumulativeVolume+=(dvhistogram->GetFrequency(j));
+              }
+              double cumulativeVolume = (totalVolume - (popCumulativeVolume + (dvhistogram->GetFrequency(i))));
+              double percentCumulativeVolume =(cumulativeVolume*100)/(statisticsFilter->GetCount(label)) ;
+              double ccCumulativeVolume = (totalVolumeCC -((popCumulativeVolume + (dvhistogram->GetFrequency(i)))*spacing_cc));
+              double percentDiffVolume = dvhistogram->GetFrequency(i)*100/(statisticsFilter->GetCount(label));
+              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;
+            }
+
+            // Add to the file
+            std::ofstream dvhistogramFile(m_ArgsInfo.dvhistogram_arg);
+            dvhistogramFile<<"# Total volume : ";
+            dvhistogramFile<<statisticsFilter->GetCount(label)<<" [No. of voxels]"<<std::endl;
+            dvhistogramFile<<"# Total volume : ";
+            dvhistogramFile<<totalVolumeCC<<" [cc]"<<std::endl;
+            dvhistogramFile<<"# Dose mean: ";
+            dvhistogramFile<<statisticsFilter->GetMean(label)<<" [Gy]"<<std::endl;
+            dvhistogramFile<<"# Dose min: ";
+            dvhistogramFile<<statisticsFilter->GetMinimum(label)<<" [Gy]"<<std::endl;
+            dvhistogramFile<<"# Dose max: ";
+            dvhistogramFile<<statisticsFilter->GetMaximum(label)<<" [Gy]"<<std::endl;
+            dvhistogramFile<<"  "<<std::endl;
+            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;
+            for( int i =0; i <m_ArgsInfo.bins_arg; i++)
+            {
+               double popCumulativeVolume = 0;
+               for(int j=0; j<i; j++)
+               {
+                 popCumulativeVolume+=(dvhistogram->GetFrequency(j));
+               }
+               double cumulativeVolume = (totalVolume - (popCumulativeVolume + (dvhistogram->GetFrequency(i))));
+               double percentCumulativeVolume =(cumulativeVolume*100)/(statisticsFilter->GetCount(label));
+               double ccCumulativeVolume = (totalVolumeCC -((popCumulativeVolume + (dvhistogram->GetFrequency(i)))*spacing_cc));
+               double percentDiffVolume = ((dvhistogram->GetFrequency(i))*100)/(statisticsFilter->GetCount(label));
+               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;
+           }
+        }
       }
-    
+    }
+
     return;
-    
+
   }
-  
-  
+
+
 }//end clitk
 
 #endif //#define clitkImageStatisticsGenericFilter_txx