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。

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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引用次数: 0

摘要

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

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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