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The Korean Institute of Electrical Engineers (대한전기학회)
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A Comparison of Active Contour Algorithms in Computer-aided Detection System for Dental Cavity using X-ray Image

X선 영상 기반 치아와동 컴퓨터 보조검출 시스템에서의 동적윤곽 알고리즘 비교

  • Kim, Dae-han (Interdisciplinary Graduate Program for BIT Medical Convergence, Kangwon National University) ;
  • Heo, Chang-hoe (Department of Medicine, University of Ulsan College of Medicine) ;
  • Cho, Hyun-chong (Dept. of Electronic Engineering and Interdisciplinary Graduate Program for BIT Medical Convergence, Kangwon National University)
  • Received : 2018.08.06
  • Accepted : 2018.11.05
  • Published : 2018.12.01
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Abstract

Dental caries is one of the most popular oral disease. The aim of automatic dental cavity detection system is helping dentist to make accurate diagnosis. It is very important to separate cavity from the teeth in the detection system. In this paper, We compared two active contour algorithms, Snake and DRLSE(Distance Regularized Level Set Evolution). To improve performance, image is selected ROI(region of interest), then applied bilateral filter, Canny edge. In order to evaluate the algorithms, we applied to 7 tooth phantoms from incisor to molar. Each teeth contains two cavities of different shape. As a result, Snake is faster than DRLSE, but Snake has limitation to compute topology of objects. DRLSE is slower but those of performance is better.

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References

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