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基于蒙特卡罗模拟辅助多元回归分析的皮肤色团无创光谱成像。

Noninvasive spectral imaging of skin chromophores based on multiple regression analysis aided by Monte Carlo simulation.

机构信息

Graduate School of Bio-applications &Science Engineering, Tokyo University of Agriculture & Technology, Koganei, Tokyo, 1848588, Japan.

出版信息

Opt Lett. 2011 Aug 15;36(16):3239-41. doi: 10.1364/OL.36.003239.

DOI:10.1364/OL.36.003239
PMID:21847220
Abstract

In order to visualize melanin and blood concentrations and oxygen saturation in human skin tissue, a simple imaging technique based on multispectral diffuse reflectance images acquired at six wavelengths (500, 520, 540, 560, 580 and 600 nm) was developed. The technique utilizes multiple regression analysis aided by Monte Carlo simulation for diffuse reflectance spectra. Using the absorbance spectrum as a response variable and the extinction coefficients of melanin, oxygenated hemoglobin, and deoxygenated hemoglobin as predictor variables, multiple regression analysis provides regression coefficients. Concentrations of melanin and total blood are then determined from the regression coefficients using conversion vectors that are deduced numerically in advance, while oxygen saturation is obtained directly from the regression coefficients. Experiments with a tissue-like agar gel phantom validated the method. In vivo experiments with human skin of the human hand during upper limb occlusion and of the inner forearm exposed to UV irradiation demonstrated the ability of the method to evaluate physiological reactions of human skin tissue.

摘要

为了可视化人体皮肤组织中的黑色素、血液浓度和氧饱和度,开发了一种基于在六个波长(500、520、540、560、580 和 600nm)处获取的多光谱漫反射图像的简单成像技术。该技术利用多变量回归分析和蒙特卡罗模拟来处理漫反射光谱。使用吸收光谱作为响应变量,黑色素、氧合血红蛋白和去氧血红蛋白的消光系数作为预测变量,多变量回归分析提供回归系数。然后,使用事先数值推导的转换向量,从回归系数中确定黑色素和总血液的浓度,而氧饱和度则直接从回归系数中获得。使用类似于组织的琼脂凝胶模型进行的实验验证了该方法。在上肢闭塞期间的人手和暴露于紫外线照射下的内前臂的人体皮肤的体内实验证明了该方法能够评估人体皮肤组织的生理反应。

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