Smoothing Segmented Lung Boundary in Chest CT Images Using Scan Line Search

  • Yeny Yim
  • Helen Hong
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4225)


To smooth lung boundary segmented by gray-level processing in chest CT images, we propose a new method using scan line search. Our method consists of three main steps. First, lung boundary is extracted by our automatic segmentation method. Second, segmented lung contour is smoothed in each axial CT slice. Scan line search is proposed to track the points on lung contour and find rapidly changing curvature without conventional contour tracking. 2D closing in axial CT slice is applied to reduce the number of rapidly changing curvature points. Finally, to provide consistent appearance between lung contours in neighboring axial slices, 2D closing in coronal CT slice is applied within pre-defined subvolume. Experimental results show that the smoothness of lung contour considerably increased after applying proposed method.


Axial Slice Coronal Slice Segmented Lung Chest Compute Tomography Scan Contour Tracking 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yeny Yim
    • 1
  • Helen Hong
    • 2
  1. 1.School of Computer Science and EngineeringSeoul National Univ.SeoulKorea
  2. 2.Division of Multimedia Engineering, College of Information and MediaSeoul Woman’s Univ.SeoulKorea

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