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http://dx.doi.org/10.5573/ieie.2014.51.2.173

Automatic Segmentation of Lung, Airway and Pulmonary Vessels using Morphology Information and Advanced Rolling Ball Algorithm  

Cho, Joon-Ho (Department of Electronics Convergence Engineering, Wonkwang University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.51, no.2, 2014 , pp. 173-181 More about this Journal
Abstract
In this paper, the algorithm that can automatically segment the lung, the airway and the pulmonary vessels in a chest CT was proposed. The proposed method is progressed in three steps. In the first step, the lung and the airway are segmented by the region growing law through the optimal threshold and three-dimensional labeling. In the second, from the start point to the first carina of the airway is segmented by the deduction operation, and the next airway of the bifurcations are segmented by applying a variable threshold technique. In the third step, the left/right lungs are divided by the restoration process for the lung, and the outside of lungs for abnormal is checked by applying the advanced rolling ball algorithm, and if abnormal is found, that part is removed, and it is restored to the normal lungs by connecting the outside of the lung in the form of second-order polynomial. Finally, pulmonary vessels are segmented by applying the three-dimensional connected component labeling method and three-dimensional region growing method. As the results of simulation, it could be confirmed that the pulmonary vascular is accurately divided without loss of tissue around lung.
Keywords
Chest CT Image; Airway Image; Lung Image; Image Segmentation; Region Growing;
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Times Cited By KSCI : 5  (Citation Analysis)
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