https://scholars.lib.ntu.edu.tw/handle/123456789/632428
標題: | Two-step curve fitting combined with a two-layered tissue model to quantify intrinsic fluorescence of cervical mucosal tissue in vivo | 作者: | Lin G.-S Mok C.I KUNG-BIN SUNG |
關鍵字: | Artificial neuron network; Diffuse reflection spectroscopy; Fluorescence spectroscopy; Genetic algorithm; Monte Carlo method | 公開日期: | 2021 | 卷: | 11925 | 來源出版物: | Proceedings of SPIE - The International Society for Optical Engineering | 摘要: | 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. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120478864&doi=10.1117%2f12.2615715&partnerID=40&md5=8ae9dc91cdcee123e4a94bee721a6688 https://scholars.lib.ntu.edu.tw/handle/123456789/632428 |
ISSN: | 0277786X | DOI: | 10.1117/12.2615715 | SDG/關鍵字: | Curve fitting; Fluorescence spectroscopy; Fluorophores; Genetic algorithms; Neural networks; Optical properties; Tissue; Artificial neuron networks; Curves fittings; Diffuse reflectance spectroscopy; Diffuse reflection spectroscopy; In-vivo; Intrinsic fluorescence; Layered tissue; MonteCarlo methods; Spectroscopy data; Tissue models; Monte Carlo methods |
顯示於: | 生醫電子與資訊學研究所 |
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