Multimodal optical device for early childhood caries: a clinical prototype

Zhang, Liang; Ridge, Jeremy S.; Nelson, Leonard Y.; Berg, Joel; Seibel, Eric J.

doi:10.1117/12.2006240

Cited by 2 publications

(1 citation statement)

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“…Spectral analysis can provide the ranked value to denote the caries stages [27]. By contrast, fluorescence imaging can provide convenient visual results for patients to know their carious state.…”

Section: Discussionmentioning

confidence: 99%

Quantitative method to assess caries via fluorescence imaging from the perspective of autofluorescence spectral analysis

Chen

Zhu

et al. 2015

Laser Phys.

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A quantitative method to discriminate caries lesions for a fluorescence imaging system is proposed in this paper. The autofluorescence spectral investigation of 39 teeth samples classified by the International Caries Detection and Assessment System levels was performed at 405 nm excitation. The major differences in the different caries lesions focused on the relative spectral intensity range of 565-750 nm. The spectral parameter, defined as the ratio of wavebands at 565-750 nm to the whole spectral range, was calculated. The image component ratio R/(G + B) of color components was statistically computed by considering the spectral parameters (e.g. autofluorescence, optical filter, and spectral sensitivity) in our fluorescence color imaging system. Results showed that the spectral parameter and image component ratio presented a linear relation. Therefore, the image component ratio was graded as <0.66, 0.66-1.06, 1.06-1.62, and >1.62 to quantitatively classify sound, early decay, established decay, and severe decay tissues, respectively. Finally, the fluorescence images of caries were experimentally obtained, and the corresponding image component ratio distribution was compared with the classification result. A method to determine the numerical grades of caries using a fluorescence imaging system was proposed. This method can be applied to similar imaging systems.

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Section: Discussionmentioning

confidence: 99%