State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an Jiaotong University, Xi'an, China.
J Biophotonics. 2024 Nov;17(11):e202400118. doi: 10.1002/jbio.202400118. Epub 2024 Sep 24.
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 and hemoglobin f ), epidermal thickness t , average vessel diameter D , depth d and thickness t 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 , d , and t were estimated based on f , f , and t fitted in the first step. The results showed that the two-step method dramatically improve the inversion accuracy with mean errors of f , f , t , and d less than 5%.
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，而这可以通过漫反射光谱（DRS）无创地实现。提出了一种两步逆蒙特卡罗辐射方法，该方法基于两种源-探测器分离下的 DRS 来量化皮肤结构，包括色团浓度（黑色素 f 和血红蛋白 f ）、表皮厚度 t 、平均血管直径 D 、血管层的深度 d 和厚度 t 用于病变皮肤。该方法通过特定的目标函数对模拟的 DRS 与测量的 DRS 进行迭代拟合，以放大 500-600nm 处的血液吸收，并且根据在第一步中拟合的 f 、 f 和 t 来估计 D 、 d 和 t 。结果表明，两步法显著提高了反演精度， f 、 f 、 t 和 d 的平均误差小于 5%。
