diff --git a/Modules/Segmentation/Algorithms/itkConnectedAdaptiveThresholdImageFilter.h b/Modules/Segmentation/Algorithms/itkConnectedAdaptiveThresholdImageFilter.h
index 628206e080..5398168ec3 100644
--- a/Modules/Segmentation/Algorithms/itkConnectedAdaptiveThresholdImageFilter.h
+++ b/Modules/Segmentation/Algorithms/itkConnectedAdaptiveThresholdImageFilter.h
@@ -1,127 +1,125 @@
 /*===================================================================
 
 The Medical Imaging Interaction Toolkit (MITK)
 
 Copyright (c) German Cancer Research Center,
 Division of Medical and Biological Informatics.
 All rights reserved.
 
 This software is distributed WITHOUT ANY WARRANTY; without
 even the implied warranty of MERCHANTABILITY or FITNESS FOR
 A PARTICULAR PURPOSE.
 
 See LICENSE.txt or http://www.mitk.org for details.
 
 ===================================================================*/
 #ifndef __itkConnectedAdaptiveThresholdImageFilter_h
 #define __itkConnectedAdaptiveThresholdImageFilter_h
 
 #include "itkConnectedThresholdImageFilter.h"
 #include "itkImage.h"
 
 namespace itk
 {
   /** /class ConnectedAdaptiveThreholdImageFilter
   * \brief ImageFilter used for processing an image with an adaptive
   *        iterator (such as itkAdaptiveThresholdIterator)
   *
   * \ingroup RegionGrowingSegmentation
   */
   template <class TInputImage, class TOutputImage>
   class ITK_EXPORT ConnectedAdaptiveThresholdImageFilter
     : public ConnectedThresholdImageFilter<TInputImage, TOutputImage>
   {
   public:
     /** Standard class typedefs. */
     typedef ConnectedAdaptiveThresholdImageFilter Self;
     typedef ConnectedThresholdImageFilter<TInputImage, TOutputImage> Superclass;
     typedef SmartPointer<Self> Pointer;
     typedef SmartPointer<const Self> ConstPointer;
 
     /** Method for creation through the object factory. */
     itkFactorylessNewMacro(Self) itkCloneMacro(Self)
 
       /** Run-time type information (and related methods).  */
       itkTypeMacro(ConnectedAdaptiveThresholdImageFilter, ConnectedThresholdImageFilter);
 
     typedef TInputImage InputImageType;
     typedef TOutputImage OutputImageType;
     typedef typename OutputImageType::Pointer OutputImagePointer;
     typedef typename InputImageType::IndexType IndexType;
     typedef typename InputImageType::PixelType PixelType;
 
     void SetGrowingDirectionIsUpwards(bool upwards) { m_GrowingDirectionIsUpwards = upwards; }
     /* Switch between fine and raw leakage detection. */
     void SetFineDetectionMode(bool fine)
     {
       m_FineDetectionMode = fine;
       m_DiscardLastPreview = false;
     }
 
     int GetSeedpointValue(void) { return m_SeedpointValue; }
     int GetLeakagePoint(void) { return m_DetectedLeakagePoint; }
     bool m_SegmentationCancelled;
 
     /*
     * Correct the position of the seed point, only performed if seed point value is outside threshold range
     * @param sizeOfVolume edge length of the square volume in which the search for a "better" seed is performed
     */
     IndexType CorrectSeedPointPosition(unsigned int sizeOfVolume, int lowerTh, int upperTh);
 
     /* Sets all voxels in a square volume with the size of @param croppingSize
     * and the center point equal to @param seedPoint to the value zero.
     */
     void CropMask(unsigned int croppingSize);
 
     /* Modifies the iterator mask to keep all previous segmentation results in the same mask.
     * @returnParam largest value in the segmentation mask
     */
     unsigned int AdjustIteratorMask();
 
     /* Sets parameters needed for adjusting the iterator mask
     * @param iteratorMaskForFineSegmentation pointer to the image containing the complete segmentation result of one
     * leaf (inclusively leakage-segmentation)
     * @param adjLowerTh lower threshold value of the segmentation without leakage-segmentation
     * @param adjLowerTh upper threshold value of the segmentation without leakage-segmentation
     * @param discardLeafSegmentation flag if the last segmentation preview ended with a leakage already in the first
     * step
     */
     void SetParameterForFineSegmentation(TOutputImage *iteratorMaskForFineSegmentation,
                                          unsigned int adjLowerTh,
                                          unsigned int adjUpperTh,
                                          itk::Index<3> seedPoint,
                                          bool discardLeafSegmentation);
 
     TOutputImage *GetResultImage();
 
   protected:
     ConnectedAdaptiveThresholdImageFilter();
     ~ConnectedAdaptiveThresholdImageFilter() override{};
 
     void GenerateData() override;
 
-    TOutputImage *m_IteratorMaskForFineSegmentation;
-
   private:
     OutputImagePointer m_OutoutImageMaskFineSegmentation;
     bool m_GrowingDirectionIsUpwards;
     PixelType m_SeedpointValue;
     PixelType m_DetectedLeakagePoint;
     PixelType m_InitValue;
     unsigned int m_AdjLowerTh;
     unsigned int m_AdjUpperTh;
     itk::Index<3> m_SeedPointIndex;
 
     /* Flag for switching between raw segmentation and fine segmentation (Bronchial tree segmentation) */
     bool m_FineDetectionMode;
 
     bool m_DiscardLastPreview;
   };
 
 } // end namespace itk
 
 #ifndef ITK_MANUAL_INSTANTIATION
 #include "itkConnectedAdaptiveThresholdImageFilter.txx"
 #endif
 
 #endif