Fluorescence spectrometry based chromaticity mapping, characterization, and quantitative assessment of dental caries

doi:10.1016/j.pdpdt.2021.102711

CORC > 长春光学精密机械与物理研究所 > 中国科学院长春光学精密机械与物理研究所

	Fluorescence spectrometry based chromaticity mapping, characterization, and quantitative assessment of dental caries
	C. Wang; R. J. Zhang; Y. F. Jiang; J. Y. Li; N. Z. Liu; L. Wang; P. Y. Wu; J. B. He; Q. Yao and X. L. Wei
刊名	Photodiagnosis and Photodynamic Therapy
	2022
卷号	37 页码:8
ISSN号	1572-1000
DOI	10.1016/j.pdpdt.2021.102711
英文摘要	Purpose: Dental caries detection, especially the accurate detection of early caries, facilitates prompt interventions. It is reasonably common to use fluorescence imaging for classification and evaluation of caries, but lacks a quantitative, precise and easy-to-use characterization for practical applications. In this study a quantitative approach for caries stage detection by correlating caries spectral and chromatic features was examined. Methods: A 405 nm LED light source was used as the excitation source. A hyperspectral imaging camera is employed to collect 336 spectral data of different caries stages. Four critical intervals for different stages of caries were extracted by fluorescence spectral features. The mapping relationship between caries spectral and chromatic features was established by Fast Formula Fitting (FFF) and Neural Network Fitting (NNF) methods. Results: The 470-780 nm spectral power distribution was proved to be the best matching color waveband guiding the selection of filters in future instrument development. The correlation coefficients for the two fitting methods were 0.990 and 0.999, respectively. Both methods achieved caries stage prediction at the pixel level with high accuracy using color information. The visualization region in the chromaticity diagram was created. Conclusions: This quantitative method enables accurate prediction of caries on the entire tooth surface and facilitates the development of portable and low-cost caries detection instruments.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/67256]
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	C. Wang,R. J. Zhang,Y. F. Jiang,et al. Fluorescence spectrometry based chromaticity mapping, characterization, and quantitative assessment of dental caries[J]. Photodiagnosis and Photodynamic Therapy,2022,37:8.
APA	C. Wang.,R. J. Zhang.,Y. F. Jiang.,J. Y. Li.,N. Z. Liu.,...&Q. Yao and X. L. Wei.(2022).Fluorescence spectrometry based chromaticity mapping, characterization, and quantitative assessment of dental caries.Photodiagnosis and Photodynamic Therapy,37,8.
MLA	C. Wang,et al."Fluorescence spectrometry based chromaticity mapping, characterization, and quantitative assessment of dental caries".Photodiagnosis and Photodynamic Therapy 37(2022):8.