Two-step curve fitting combined with a two-layered tissue model to quantify intrinsic fluorescence of cervical mucosal tissue in vivo

Guo-Sheng Lin; Chong Ian Mok; Kung-Bin Sung

doi:10.1117/12.2615715

27 October 2021 Two-step curve fitting combined with a two-layered tissue model to quantify intrinsic fluorescence of cervical mucosal tissue in vivo

Guo-Sheng Lin, Chong Ian Mok, Kung-Bin Sung

Author Affiliations +

Proceedings Volume 11925, Biomedical Imaging and Sensing Conference 2021; 1192513 (2021) https://doi.org/10.1117/12.2615715
Event: SPIE Technologies and Applications of Structured Light, 2021, Online, Japan

Abstract

Fluorescence spectroscopy (FS) has been used to characterize tissue fluorophores in vivo for the diagnosis of precancers in the uterine cervix. In this study, a two-step curve fitting process is established to extract the intrinsic fluorescence intensity and spectrum of fluorophores including NADH and FAD in the epithelium and collagen crosslinks in the stroma. Forward Monte Carlo (MC) models of diffuse reflectance spectroscopy (DRS) and FS are replaced by artificial neuron networks to improve the computation speed. First, absorption and scattering coefficients of the two tissue layers and the epithelial thickness are estimated from DRS data. Second, the genetic algorithm is used to find the best set of intrinsic fluorescence parameters of the three fluorophores that best fit measured FS data. Results suggest that the two-layered tissue model outperforms conventional homogeneous tissue models in extracted tissue optical properties. Intrinsic fluorescence parameters are extracted from in-vivo spectra measured on 31 subjects.

Citation Download Citation

Guo-Sheng Lin, Chong Ian Mok, and Kung-Bin Sung "Two-step curve fitting combined with a two-layered tissue model to quantify intrinsic fluorescence of cervical mucosal tissue in vivo", Proc. SPIE 11925, Biomedical Imaging and Sensing Conference 2021, 1192513 (27 October 2021); https://doi.org/10.1117/12.2615715

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