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Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials, Volume 30, Number 11(2) (2018)
Copyright(C) MYU K.K. All Rights Reserved.
pp. 2517-2529
S&M1695 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2018.2053
Published: November 20, 2018

Automated Segmentation of Dental Calculus in Optical Coherence Tomography Images [PDF]

Chia-Yen Lee, Ching-Cheng Chuang, Guan-Jie Chen, Chih-Chia Huang, Shyh-Yuan Lee, and Yu-Hsien Lin

(Received March 28, 2018; Accepted August 31, 2018)

Keywords: optical coherence tomography (OCT), image analysis, segmentation, dental calculus

The presence of dental calculus is highly correlated with the formation and advancement of periodontal disease. The occurrence and relapse of periodontal disease can be prevented only if dental calculus is completely removed. In this study, optical coherence tomography (OCT) is used to obtain two-dimensional cross-sectional images of tooth samples, in conjunction with a segmentation technique that enables automatic identification of dental calculus. We propose the vertical intensity transform function to correct the nonuniform instrument signal intensity caused by OCT. Afterwards, the detection ranges are defined by K-means or the Markov random field (MRF), and the candidate range is selected on the basis of mathematical morphology (MM). Finally, the features (thickness gradient, texture, and tooth surface slope) are quantified, and dental calculus is recognized and segmented. In the preliminary result, the sensitivity is 87.5%. The mean distance between the boundaries generated by the proposed algorithm and the corresponding manually delineated boundaries is 2.52 ± 3.54 pixels. Our proposed algorithm assists physicians to determine dental calculus more easily. Doctors no longer need to rely solely on their experiences to recognize dental calculus, but can refer to specific data to assist in diagnosis.

Corresponding author: Chia-Yen Lee


Cite this article
Chia-Yen Lee, Ching-Cheng Chuang, Guan-Jie Chen, Chih-Chia Huang, Shyh-Yuan Lee, and Yu-Hsien Lin, Automated Segmentation of Dental Calculus in Optical Coherence Tomography Images, Sens. Mater., Vol. 30, No. 11, 2018, p. 2517-2529.



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