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组织固有荧光光谱复原算法及其在糖尿病筛查中的应用研究

Tissue Intrinsic Fluorescence Spectrum Recovery Algorithm and Its Application in Diabetes Screening

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摘要

通过设计不同光学参数的组织仿体, 研究吸收、散射对组织荧光光谱及组织漫反射光谱的影响规律, 优化经验复原算法, 以校正吸收、散射的影响, 获得组织的固有荧光光谱。结果显示: 使用优化的经验复原算法(经验参数kx和km分别为0.9和-0.8)能够有效降低吸收、散射对荧光强度的影响, 且荧光强度与荧光成分的浓度线性相关。在基于皮肤组织荧光光谱法筛查糖尿病的应用研究中应用上述光谱复原算法, 结果显示:与原始荧光光谱相比, 采用复原后的固有荧光光谱进行糖尿病筛查时, 受试者工作特征(ROC)曲线覆盖面积由0.54增加至0.81, 在特异性同为70.6%时, 敏感性由38.6%增至77.6%。采用组织仿体优化生物组织固有荧光光谱经验复原算法能有效提高荧光光谱的临床应用价值。

Abstract

Tissue phantoms with different optical parameters are designed to study the influence of absorption and scattering on tissue fluorescence and diffuse reflection spectra. An empirical recovery algorithm is optimized to correct the influence of absorption and scattering and obtain the intrinsic fluorescence spectrum of tissues. The results reveal that the empirical recovery algorithm (experience parameters kx and km are 0.9 and -0.8, respectively) can effectively reduce the influence of absorption and scattering on the fluorescence intensity, and the fluorescence intensity is linearly correlated with the concentration of fluorescence components. When we apply spectral recovery algorithm to the screening of diabetes based on skin tissue fluorescence spectrum, the results reveal that, comparing to the fluorescence spectrum before recovery, the area under receiver operating characteristic (ROC) curve increases from 0.54 to 0.81; besides, the sensitivity also increases from 38.6% to 77.6% when the specificity is 70.6%. Therefore, this study makes a major contribution to research on clinical application by optimizing fluorescence spectrum empirical recovery algorithm with tissue phantoms.

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中图分类号:R318.5

DOI:10.3788/CJL201845.0707001

所属栏目:生物医学光子学与激光医学

基金项目:国家中医临床研究基地业务建设第二批科研专项课题(2015D05)、安徽省科技重大专项计划(15CZZ02019)、中国科学院国际合作局对外合作重点项目“一带一路”专项(116134KYSB20170018)

收稿日期:2018-01-31

修改稿日期:2018-03-02

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作者单位    点击查看

张洋:中国科学院合肥物质科学研究院应用技术研究所, 安徽省生物医学光学仪器工程技术研究中心, 安徽 合肥 230031皖江新兴产业技术发展中心, 安徽 铜陵 244000
倪敬书:中国科学院合肥物质科学研究院应用技术研究所, 安徽省生物医学光学仪器工程技术研究中心, 安徽 合肥 230031
张元志:中国科学院合肥物质科学研究院应用技术研究所, 安徽省生物医学光学仪器工程技术研究中心, 安徽 合肥 230031
方朝晖:安徽中医药大学第一附属医院, 安徽 合肥 230031
王贻坤:中国科学院合肥物质科学研究院应用技术研究所, 安徽省生物医学光学仪器工程技术研究中心, 安徽 合肥 230031皖江新兴产业技术发展中心, 安徽 铜陵 244000
刘勇:中国科学院合肥物质科学研究院应用技术研究所, 安徽省生物医学光学仪器工程技术研究中心, 安徽 合肥 230031

联系人作者:张元志(yzzhang@aiofm.ac.cn)

备注:张洋(1989-), 男, 硕士研究生, 主要从事生物医学光学中组织荧光光谱复原及分类算法等方面的研究。E-mail: yangz@aiofm.ac.cn

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引用该论文

Zhang Yang,Ni Jingshu,Zhang Yuanzhi,Fang Zhaohui,Wang Yikun,Liu Yong. Tissue Intrinsic Fluorescence Spectrum Recovery Algorithm and Its Application in Diabetes Screening[J]. Chinese Journal of Lasers, 2018, 45(7): 0707001

张洋,倪敬书,张元志,方朝晖,王贻坤,刘勇. 组织固有荧光光谱复原算法及其在糖尿病筛查中的应用研究[J]. 中国激光, 2018, 45(7): 0707001

被引情况

【1】王晓飞,张欣怡,徐馨荷. 考虑多种因素的近红外光谱血糖预测模型对比. 激光与光电子学进展, 2019, 56(4): 41701--1

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