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@article{ART002329066},
author={Chan-Woo Lee and Oksam Chae},
title={Automatic Detection of the Middle Tooth Crown Part for Full Automatic Tooth Segmentation in Dental CT Images},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2018},
volume={23},
number={3},
pages={17-23},
doi={10.9708/jksci.2018.23.03.017}

TY - JOUR
AU - Chan-Woo Lee
AU - Oksam Chae
TI - Automatic Detection of the Middle Tooth Crown Part for Full Automatic Tooth Segmentation in Dental CT Images
JO - Journal of The Korea Society of Computer and Information
PY - 2018
VL - 23
IS - 3
PB - The Korean Society Of Computer And Information
SP - 17
EP - 23
SN - 1598-849X
AB - 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.
KW - Tooth Segmentation;Computed Tomography;Tooth Panorama Image;Middle Tooth Crown part;Full Automatic Tooth Segmentation
DO - 10.9708/jksci.2018.23.03.017
ER -

Chan-Woo Lee and Oksam Chae. (2018). Automatic Detection of the Middle Tooth Crown Part for Full Automatic Tooth Segmentation in Dental CT Images. Journal of The Korea Society of Computer and Information, 23(3), 17-23.

Chan-Woo Lee and Oksam Chae. 2018, "Automatic Detection of the Middle Tooth Crown Part for Full Automatic Tooth Segmentation in Dental CT Images", Journal of The Korea Society of Computer and Information, vol.23, no.3 pp.17-23. Available from: doi:10.9708/jksci.2018.23.03.017

Chan-Woo Lee, Oksam Chae "Automatic Detection of the Middle Tooth Crown Part for Full Automatic Tooth Segmentation in Dental CT Images" Journal of The Korea Society of Computer and Information 23.3 pp.17-23 (2018) : 17.

Chan-Woo Lee, Oksam Chae. Automatic Detection of the Middle Tooth Crown Part for Full Automatic Tooth Segmentation in Dental CT Images. 2018; 23(3), 17-23. Available from: doi:10.9708/jksci.2018.23.03.017

Chan-Woo Lee and Oksam Chae. "Automatic Detection of the Middle Tooth Crown Part for Full Automatic Tooth Segmentation in Dental CT Images" Journal of The Korea Society of Computer and Information 23, no.3 (2018) : 17-23.doi: 10.9708/jksci.2018.23.03.017

Chan-Woo Lee; Oksam Chae. Automatic Detection of the Middle Tooth Crown Part for Full Automatic Tooth Segmentation in Dental CT Images. Journal of The Korea Society of Computer and Information, 23(3), 17-23. doi: 10.9708/jksci.2018.23.03.017

Chan-Woo Lee; Oksam Chae. Automatic Detection of the Middle Tooth Crown Part for Full Automatic Tooth Segmentation in Dental CT Images. Journal of The Korea Society of Computer and Information. 2018; 23(3) 17-23. doi: 10.9708/jksci.2018.23.03.017

Chan-Woo Lee, Oksam Chae. Automatic Detection of the Middle Tooth Crown Part for Full Automatic Tooth Segmentation in Dental CT Images. 2018; 23(3), 17-23. Available from: doi:10.9708/jksci.2018.23.03.017

Chan-Woo Lee and Oksam Chae. "Automatic Detection of the Middle Tooth Crown Part for Full Automatic Tooth Segmentation in Dental CT Images" Journal of The Korea Society of Computer and Information 23, no.3 (2018) : 17-23.doi: 10.9708/jksci.2018.23.03.017