The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
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A Study of Computer-aided Detection System for Dental Cavity on Digital X-ray Image

디지털 X선 영상을 이용한 치아 와동 컴퓨터 보조 검출 시스템 연구

  • Heo, Chang-hoe (Interdisciplinary Graduate Program for BIT Medical Convergence, Kangwon National University) ;
  • Kim, Min-jeong (Interdisciplinary Graduate Program for BIT Medical Convergence, Kangwon National University) ;
  • Cho, Hyun-chong (Division of Electrical & Electronic Engineering and Interdisciplinary Graduate Program for BIT Medical Convergence, Kangwon National University)
  • Received : 2016.05.23
  • Accepted : 2016.07.18
  • Published : 2016.08.01
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Abstract

Segmentation is one of the first steps in most diagnosis systems for characterization of dental caries in an early stage. The purpose of automatic dental cavity detection system is helping dentist to make more precise diagnosis. We proposed the semi-automatic method for the segmentation of dental caries on digital x-ray images. Based on a manually and roughly selected ROI (Region of Interest), it calculated the contour for the dental cavity. A snake algorithm which is one of active contour models repetitively refined the initial contour and self-examination and correction on the segmentation result. Seven phantom tooth from incisor to molar were made for the evaluation of the developed algorithm. They contained a different form of cavities and each phantom tooth has two dental cavities. From 14 dental cavities, twelve cavities were accurately detected including small cavities. And two cavities were segmented partly. It demonstrates the practical feasibility of the dental lesion detection using Computer-aided Detection (CADe).

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References

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