Open Access
17 October 2017 Quantitative light-induced fluorescence technology for quantitative evaluation of tooth wear
Sang-Kyeom Kim, Hyung-Suk Lee, Seok-Woo Park, Eun-Song Lee, Elbert de Josselin de Jong, Hoi-In Jung, Baek-Il Kim
Author Affiliations +
Funded by: Ministry of Science, ICT and Future Planning, Ministry of Agriculture, Food and Rural Affairs (MAFRA)
Abstract
Various technologies used to objectively determine enamel thickness or dentin exposure have been suggested. However, most methods have clinical limitations. This study was conducted to confirm the potential of quantitative light-induced fluorescence (QLF) using autofluorescence intensity of occlusal surfaces of worn teeth according to enamel grinding depth in vitro. Sixteen permanent premolars were used. Each tooth was gradationally ground down at the occlusal surface in the apical direction. QLF-digital and swept-source optical coherence tomography images were acquired at each grinding depth (in steps of 100  μm). All QLF images were converted to 8-bit grayscale images to calculate the fluorescence intensity. The maximum brightness (MB) values of the same sound regions in grayscale images before (MBbaseline) and phased values after (MBworn) the grinding process were calculated. Finally, 13 samples were evaluated. MBworn increased over the grinding depth range with a strong correlation (r=0.994, P<0.001). In conclusion, the fluorescence intensity of the teeth and grinding depth was strongly correlated in the QLF images. Therefore, QLF technology may be a useful noninvasive tool used to monitor the progression of tooth wear and to conveniently estimate enamel thickness.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE) 1083-3668/2017/$25.00 © 2017 SPIE
Sang-Kyeom Kim, Hyung-Suk Lee, Seok-Woo Park, Eun-Song Lee, Elbert de Josselin de Jong, Hoi-In Jung, and Baek-Il Kim "Quantitative light-induced fluorescence technology for quantitative evaluation of tooth wear," Journal of Biomedical Optics 22(12), 121701 (17 October 2017). https://doi.org/10.1117/1.JBO.22.12.121701
Received: 22 February 2017; Accepted: 1 June 2017; Published: 17 October 2017
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Cited by 17 scholarly publications.
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KEYWORDS
Luminescence

Teeth

Optical coherence tomography

Statistical analysis

Dentistry

Image analysis

In vitro testing

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