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, Jeehyun Kim

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

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.

Original languageEnglish
Pages (from-to)771-774
Number of pages4
JournalInternational Journal of Mechanical Engineering and Robotics Research
Volume9
Issue number5
DOIs
StatePublished - 1 May 2020

Keywords

  • Biomedical optical imaging
  • Detection algorithms
  • Optical coherence tomography

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