Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
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Automatic Detection of the Middle Tooth Crown Part for Full Automatic Tooth Segmentation in Dental CT Images

  • Lee, Chan-Woo (Dept. of Computer Science and Engineering, Kyunghee University) ;
  • Chae, Ok-Sam (Dept. of Computer Science and Engineering, Kyunghee University)
  • Received : 2018.03.09
  • Accepted : 2018.03.22
  • Published : 2018.03.30
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Abstract

In this paper, we propose the automatic detection method which find the middle part of tooth crown to start individual tooth segmentation. There have been many studies on the automation of individual tooth segmentation, but there are still many problems for full automation. Detection of middle part of tooth crown used as initial information for individual tooth segmentation is closely related to performance, but most studies are based on the assumption that they are already known or they can be represented by using a straight line. In this study, we have found that the jawbone curve is similar to the tooth alignment curve by spatially analyzing the CT image, and propose a method to automatically detect the middle part of tooth crown. The proposed method successfully uses the jawbone curves to successfully create a tooth alignment curve that is difficult to detect. As the middle part of tooth crown is in the form of a tooth alignment curve, the proposed method detects the middle part of tooth crown successfully. It has also been verified by experiments that the proposed method works well on real dental CT images.

Keywords

References

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