X-Git-Url: https://git.creatis.insa-lyon.fr/pubgit/?a=blobdiff_plain;ds=sidebyside;f=itk%2FclitkResampleImageWithOptionsFilter.txx;h=97f6f418c56bc88c0937079060002285d5184758;hb=7d4e77191e55f668f316ba3ddf0fddb63e59bd25;hp=dd5a82142edbc0d808a46d5ab713d8d96062e7f8;hpb=1e034c70105f0926939acaaa27ddb46e904ae8bf;p=clitk.git

diff --git a/itk/clitkResampleImageWithOptionsFilter.txx b/itk/clitkResampleImageWithOptionsFilter.txx
index dd5a821..97f6f41 100644
--- a/itk/clitkResampleImageWithOptionsFilter.txx
+++ b/itk/clitkResampleImageWithOptionsFilter.txx
@@ -3,7 +3,7 @@
 
   Authors belong to:
   - University of LYON              http://www.universite-lyon.fr/
-  - Léon Bérard cancer center       http://oncora1.lyon.fnclcc.fr
+  - Léon Bérard cancer center       http://www.centreleonberard.fr
   - CREATIS CNRS laboratory         http://www.creatis.insa-lyon.fr
 
   This software is distributed WITHOUT ANY WARRANTY; without even
@@ -14,10 +14,10 @@
 
   - BSD        See included LICENSE.txt file
   - CeCILL-B   http://www.cecill.info/licences/Licence_CeCILL-B_V1-en.html
-  ======================================================================-====*/
+  ===========================================================================**/
 
 // clitk
-#include "clitkCommon.h"
+#include "clitkDD.h"
 
 // itk include
 #include "itkImage.h"
@@ -28,18 +28,16 @@
 #include "itkResampleImageFilter.h"
 #include "itkAffineTransform.h"
 #include "itkNearestNeighborInterpolateImageFunction.h"
+#include "itkWindowedSincInterpolateImageFunction.h"
 #include "itkLinearInterpolateImageFunction.h"
 #include "itkBSplineInterpolateImageFunction.h"
 #include "itkBSplineInterpolateImageFunctionWithLUT.h"
 #include "itkCommand.h"
 
-namespace clitk
-{
-
 //--------------------------------------------------------------------
-template <class TInputImage, class TOutputImage>
-ResampleImageWithOptionsFilter<TInputImage, TOutputImage>::
-ResampleImageWithOptionsFilter():itk::ImageToImageFilter<TInputImage, TOutputImage>()
+template <class InputImageType, class OutputImageType>
+clitk::ResampleImageWithOptionsFilter<InputImageType, OutputImageType>::
+ResampleImageWithOptionsFilter():itk::ImageToImageFilter<InputImageType, OutputImageType>()
 {
   static const unsigned int dim = InputImageType::ImageDimension;
   this->SetNumberOfRequiredInputs(1);
@@ -56,15 +54,18 @@ ResampleImageWithOptionsFilter():itk::ImageToImageFilter<TInputImage, TOutputIma
     m_OutputSpacing[i] = -1;
     m_GaussianSigma[i] = -1;
   }
+  m_OutputOrigin.Fill(0);
+  m_OutputDirection.SetIdentity();
   m_VerboseOptions = false;
+  SetDefaultPixelValue(0);
 }
 //--------------------------------------------------------------------
 
 
 //--------------------------------------------------------------------
-template <class TInputImage, class TOutputImage>
+template <class InputImageType, class OutputImageType>
 void
-ResampleImageWithOptionsFilter<TInputImage, TOutputImage>::
+clitk::ResampleImageWithOptionsFilter<InputImageType, OutputImageType>::
 SetInput(const InputImageType * image)
 {
   // Process object is not const-correct so the const casting is required.
@@ -74,9 +75,9 @@ SetInput(const InputImageType * image)
 
 
 //--------------------------------------------------------------------
-template <class TInputImage, class TOutputImage>
+template <class InputImageType, class OutputImageType>
 void
-ResampleImageWithOptionsFilter<TInputImage, TOutputImage>::
+clitk::ResampleImageWithOptionsFilter<InputImageType, OutputImageType>::
 GenerateInputRequestedRegion()
 {
   // call the superclass's implementation of this method
@@ -84,7 +85,7 @@ GenerateInputRequestedRegion()
 
   // get pointers to the input and output
   InputImagePointer  inputPtr  =
-    const_cast< TInputImage *>( this->GetInput() );
+    const_cast< InputImageType *>( this->GetInput() );
 
   // Request the entire input image
   InputImageRegionType inputRegion;
@@ -95,9 +96,9 @@ GenerateInputRequestedRegion()
 
 
 //--------------------------------------------------------------------
-template <class TInputImage, class TOutputImage>
+template <class InputImageType, class OutputImageType>
 void
-ResampleImageWithOptionsFilter<TInputImage, TOutputImage>::
+clitk::ResampleImageWithOptionsFilter<InputImageType, OutputImageType>::
 GenerateOutputInformation()
 {
   static const unsigned int dim = InputImageType::ImageDimension;
@@ -123,19 +124,31 @@ GenerateOutputInformation()
   if (m_OutputIsoSpacing != -1) { // apply isoSpacing
     for(unsigned int i=0; i<dim; i++) {
       m_OutputSpacing[i] = m_OutputIsoSpacing;
-      m_OutputSize[i] = (int)lrint(inputSize[i]*inputSpacing[i]/m_OutputSpacing[i]);
+      // floor() is used to intentionally reduce the number of slices
+      // because, from a clinical point of view, it's better to
+      // remove data than to add data that privously didn't exist.
+      if(inputSpacing[i]*m_OutputSpacing[i]<0)
+        itkExceptionMacro( << "Input and output spacings don't have the same signs, can't cope with that" );
+      m_OutputSize[i] = (int)floor(inputSize[i]*inputSpacing[i]/m_OutputSpacing[i]);
     }
-  } else {
+  }
+  else if(m_OutputSpacing[0]==-1 ||  m_OutputSize[0]==0){
     if (m_OutputSpacing[0] != -1) { // apply spacing, compute size
       for(unsigned int i=0; i<dim; i++) {
-        m_OutputSize[i] = (int)lrint(inputSize[i]*inputSpacing[i]/m_OutputSpacing[i]);
+        if(inputSpacing[i]*m_OutputSpacing[i]<0) {
+          itkExceptionMacro( << "Input and output spacings don't have the same signs, can't cope with that" );
+        }
+        // see comment above for the use of floor()
+        m_OutputSize[i] = (int)floor(inputSize[i]*inputSpacing[i]/m_OutputSpacing[i]);
       }
-    } else {
+    }
+    else {
       if (m_OutputSize[0] != 0) { // apply size, compute spacing
         for(unsigned int i=0; i<dim; i++) {
           m_OutputSpacing[i] = (double)inputSize[i]*inputSpacing[i]/(double)m_OutputSize[i];
         }
-      } else { // copy input size/spacing ... (no resampling)
+      }
+      else { // copy input size/spacing ... (no resampling)
         m_OutputSize = inputSize;
         m_OutputSpacing = inputSpacing;
       }
@@ -151,22 +164,24 @@ GenerateOutputInformation()
 
   // Set Size/Spacing
   OutputImagePointer outputImage = this->GetOutput(0);
-  OutputImageRegionType region;
-  region.SetSize(m_OutputSize);
-  region.SetIndex(input->GetLargestPossibleRegion().GetIndex());
-  DD(input->GetLargestPossibleRegion().GetIndex());
-  outputImage->SetLargestPossibleRegion(region);
+  // OutputImageRegionType region;
+  m_OutputRegion.SetSize(m_OutputSize);
+  m_OutputRegion.SetIndex(input->GetLargestPossibleRegion().GetIndex());
+  outputImage->CopyInformation(input);
+  outputImage->SetLargestPossibleRegion(m_OutputRegion);
   outputImage->SetSpacing(m_OutputSpacing);
 
   // Init Gaussian sigma
   if (m_GaussianSigma[0] != -1) { // Gaussian filter set by user
     m_GaussianFilteringEnabled = true;
-  } else {
+  }
+  else {
     if (m_GaussianFilteringEnabled) { // Automated sigma when downsample
       for(unsigned int i=0; i<dim; i++) {
         if (m_OutputSpacing[i] > inputSpacing[i]) { // downsample
           m_GaussianSigma[i] = 0.5*m_OutputSpacing[i];// / inputSpacing[i]);
-        } else m_GaussianSigma[i] = 0; // will be ignore after
+        }
+        else m_GaussianSigma[i] = 0; // will be ignore after
       }
     }
   }
@@ -178,9 +193,9 @@ GenerateOutputInformation()
 
 
 //--------------------------------------------------------------------
-template <class TInputImage, class TOutputImage>
+template <class InputImageType, class OutputImageType>
 void
-ResampleImageWithOptionsFilter<TInputImage, TOutputImage>::
+clitk::ResampleImageWithOptionsFilter<InputImageType, OutputImageType>::
 GenerateData()
 {
 
@@ -192,9 +207,7 @@ GenerateData()
   typedef itk::ResampleImageFilter<InputImageType,OutputImageType> FilterType;
   typename FilterType::Pointer filter = FilterType::New();
   filter->GraftOutput(this->GetOutput());
-//     this->GetOutput()->Print(std::cout);
-//     this->GetOutput()->SetBufferedRegion(this->GetOutput()->GetLargestPossibleRegion());
-//     this->GetOutput()->Print(std::cout);
+  this->GetOutput()->SetBufferedRegion(this->GetOutput()->GetLargestPossibleRegion());
 
   // Print options if needed
   if (m_VerboseOptions) {
@@ -205,31 +218,39 @@ GenerateData()
       std::cout << "Sigma          = " << m_GaussianSigma << std::endl;
     std::cout << "Interpol       = ";
     switch (m_InterpolationType) {
-    case NearestNeighbor:
-      std::cout << "NearestNeighbor" << std::endl;
-      break;
-    case Linear:
-      std::cout << "Linear" << std::endl;
-      break;
-    case BSpline:
-      std::cout << "BSpline " << m_BSplineOrder << std::endl;
-      break;
-    case B_LUT:
-      std::cout << "B-LUT " << m_BSplineOrder << " " << m_BLUTSamplingFactor << std::endl;
-      break;
+    case NearestNeighbor: std::cout << "NearestNeighbor" << std::endl; break;
+    case Linear: std::cout << "Linear" << std::endl; break;
+    case BSpline: std::cout << "BSpline " << m_BSplineOrder << std::endl; break;
+    case B_LUT: std::cout << "B-LUT " << m_BSplineOrder << " " << m_BLUTSamplingFactor << std::endl; break;
+    case WSINC: std::cout << "Windowed Sinc" << std::endl; break;
     }
+#if ITK_VERSION_MAJOR <= 4
     std::cout << "Threads        = " << this->GetNumberOfThreads() << std::endl;
+#else
+    std::cout << "Threads        = " << this->GetNumberOfWorkUnits() << std::endl;
+#endif
     std::cout << "LastDimIsTime  = " << m_LastDimensionIsTime << std::endl;
   }
 
+  // Compute origin based on image corner
+  for(unsigned int i=0; i<OutputImageType::ImageDimension; i++) {
+    m_OutputOrigin[i] -= 0.5 * input->GetSpacing()[i];
+    m_OutputOrigin[i] += 0.5 * m_OutputSpacing[i];
+  }
+
   // Instance of the transform object to be passed to the resample
   // filter. By default, identity transform is applied
   filter->SetTransform(m_Transform);
   filter->SetSize(m_OutputSize);
   filter->SetOutputSpacing(m_OutputSpacing);
-  filter->SetOutputOrigin(input->GetOrigin());
+  filter->SetOutputOrigin(m_OutputOrigin);
   filter->SetDefaultPixelValue(m_DefaultPixelValue);
+#if ITK_VERSION_MAJOR <= 4
   filter->SetNumberOfThreads(this->GetNumberOfThreads());
+#else
+  filter->SetNumberOfWorkUnits(this->GetNumberOfWorkUnits());
+#endif
+  filter->SetOutputDirection(m_OutputDirection); // <-- NEEDED if we want to keep orientation (in case of PermutAxes for example)
 
   // Select interpolator
   switch (m_InterpolationType) {
@@ -260,9 +281,16 @@ GenerateData()
     filter->SetInterpolator(interpolator);
     break;
   }
+  case WSINC: {
+    typedef itk::WindowedSincInterpolateImageFunction<InputImageType, 4> InterpolatorType;
+    typename InterpolatorType::Pointer interpolator =  InterpolatorType::New();
+    filter->SetInterpolator(interpolator);
+    break;
+  }
   }
 
   // Initial Gaussian blurring if needed
+  // TODO : replace by itk::DiscreteGaussianImageFilter for small sigma
   typedef itk::RecursiveGaussianImageFilter<InputImageType, InputImageType> GaussianFilterType;
   std::vector<typename GaussianFilterType::Pointer> gaussianFilters;
   if (m_GaussianFilteringEnabled) {
@@ -289,11 +317,33 @@ GenerateData()
   filter->Update();
 
   // Set output
-  // DD("before Graft");
   this->GraftOutput(filter->GetOutput());
-  // DD("after Graft");
 }
 //--------------------------------------------------------------------
 
-}//end clitk
 
+//--------------------------------------------------------------------
+template<class InputImageType>
+typename InputImageType::Pointer
+clitk::ResampleImageSpacing(typename InputImageType::Pointer input,
+                            typename InputImageType::SpacingType spacing,
+                            int interpolationType)
+{
+  typedef clitk::ResampleImageWithOptionsFilter<InputImageType> ResampleFilterType;
+  typename ResampleFilterType::Pointer resampler = ResampleFilterType::New();
+  resampler->SetInput(input);
+  resampler->SetOutputSpacing(spacing);
+  typename ResampleFilterType::InterpolationTypeEnumeration inter=ResampleFilterType::NearestNeighbor;
+  switch(interpolationType) {
+  case 0: inter = ResampleFilterType::NearestNeighbor; break;
+  case 1: inter = ResampleFilterType::Linear; break;
+  case 2: inter = ResampleFilterType::BSpline; break;
+  case 3: inter = ResampleFilterType::B_LUT; break;
+  case 4: inter = ResampleFilterType::WSINC; break;
+  }
+  resampler->SetInterpolationType(inter);
+  resampler->SetGaussianFilteringEnabled(true);
+  resampler->Update();
+  return resampler->GetOutput();
+}
+//--------------------------------------------------------------------