Noninvasive Detection of the Skin Structure and Inversed Retrieval of Chromophore Information Based on Diffuse Reflectance Spectroscopy.

Journal of biophotonics Pub Date : 2024-11-01 Epub Date: 2024-09-24 DOI:10.1002/jbio.202400118
Jinyao Wang, Dong Li, Bin Chen
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Abstract

The detection of skin's structure lays the foundation for personalized laser surgery of vascular skin disease, which can be noninvasively achieved by diffuse reflectance spectroscopy (DRS). A two-step inverse Monte Carlo radiation method based on DRS under two source-detector separations was proposed to quantify the skin structure, including chromophore concentration (melanin f m and hemoglobin f b), epidermal thickness t epi, average vessel diameter D ves, depth d pws and thickness t pws of the vascular layer for diseased skin. The method fitted the simulated DRS to the measured DRS iteratively, differences between which were described by a specific objective function to amplify blood absorption at 500-600 nm, and D ves, d pws, and t pws were estimated based on f m, f b, and t pws fitted in the first step. The results showed that the two-step method dramatically improve the inversion accuracy with mean errors of f m, f b, t pws, and d pws less than 5%.

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基于漫反射光谱的皮肤结构无创检测和色素信息反向检索。
皮肤结构的检测为血管性皮肤病的个性化激光手术奠定了基础,而皮肤结构的检测可通过漫反射光谱(DRS)无创实现。研究人员提出了一种基于两个光源-探测器分离条件下 DRS 的两步逆蒙特卡罗辐射方法,用于量化皮肤结构,包括病变皮肤的发色团浓度(黑色素 fm 和血红蛋白 fb)、表皮厚度 tepi、血管平均直径 Dves、深度 dpws 和血管层厚度 tpws。该方法将模拟 DRS 与测量的 DRS 反复拟合,两者之间的差异由特定的目标函数描述,以放大 500-600 纳米波长处的血液吸收,并根据第一步拟合的 fm、fb 和 tpws 估算 Dves、dpws 和 tpws。结果表明,两步法显著提高了反演精度,fm、fb、tpws 和 dpws 的平均误差均小于 5%。
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