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치과용 CT 영상에서의 자동화된 개별 치아 분리를 위한 치관 중단 부 자동검출

Automatic Detection of the Middle Tooth Crown Part for Full Automatic Tooth Segmentation in Dental CT Images

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주제분류컴퓨터학

초록

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.

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.

참고문헌 (19)

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  8. Hao Wang, "Tooth Separation from Dental Model Using Segmentation Field", Engineering in Medicine and Biology Society(EMBC), IEEE 38th Annual Conference, pp.5616~5619 (2016)
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  15. Hao Wang, "Tooth Separation from Dental Model Using Segmentation Field", Engineering in Medicine and Biology Society(EMBC), 2016 IEEE 38th Annual Conference, pp.5616~5619 (2016)
  16. Mahsa Sepehrian, "Individual Teeth Segmentation in CBCT and MSCT Dental Images Using Watershed", Proceedings of 20th Iranian Conference on Biomedical Engineering(ICME 2013), pp.27~30 (2013)
  17. Yangzhou Gan, "Tooth and Alveolar Bone Segmentation from Dental Computed Tomography Images", IEEE Journal of Biomedical and Health Infomatics, 22, pp.194~204 (2018)
  18. Bing, Han, "An automatic method of synthesizing panoramic radiograph by unwrapping dental CT image", Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on. IEEE, pp.1094~1096 (2011)
  19. Nobuyuki Otsu, "A Threshold Selection Method from Gray-Level Histograms", IEEE Transactions on Systems, Man, and Cybernetics, 9(1), pp.62~66 (1979), Institute of Electrical and Electronics Engineers (IEEE)[DOI]

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