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In-vivo Quantitative Depth Measurement of the Human Gingival Sulcus Based on Interferometry System with Detection Algorithm

Hoseong Cho, Jaeyul Lee, Jaewon Song, Mansik Jeon, and Jeehyun Kim
School of Electronics Engineering, College of IT Engineering, Kyungpook National University, Daegu, Republic of Korea

Abstract—Optical coherence tomography (OCT) has magnetized substantial notice in biomedical optical imaging since it can reveal the inner structures. Gingival is a soft tissue that surrounds a tooth. In dentistry, the depth of the gingival sulcus reveals clinical diagnostic criteria for periodontal tissue status. We propose an algorithm for measuring the gingival sulcus in the OCT 2D cross-sectional images and verified the algorithm using OCT systems with three different wavelength bands. Periodontal tissues of six healthy individuals, among them maxillary and mandibular incisors and posteriors, were taken. We have obtained a clear comparison of quantitative and qualitative measurements, and to evaluate gingival sulcus non-destructively. Additionally, commercial Sobel and Canny operators primarily used, were compared with the proposed algorithm to confirm reducing sensitivity to noise and speckle in OCT images.

Index Terms— Detection algorithms, biomedical optical imaging, optical coherence tomography

Cite: Hoseong Cho, Jaeyul Lee, Jaewon Song, Mansik Jeon, and Jeehyun Kim, "In-vivo Quantitative Depth Measurement of the Human Gingival Sulcus Based on Interferometry System with Detection Algorithm," International Journal of Mechanical Engineering and Robotics Research, Vol. 9, No. 5, pp. 771-774, May 2020. DOI: 10.18178/ijmerr.9.5.771-774

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.