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Validation of an Inverse Fitting Method of Diffuse Reflectance Spectroscopy to Quantify Multi-Layered Skin Optical Properties

机译:漫反射光谱反拟合方法的定量多层皮肤光学性质的验证

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Skin consists of epidermis and dermis layers that have distinct optical properties. The quantification of skin optical properties is commonly achieved by modeling photon propagation in tissue using Monte Carlo (MC) simulations and iteratively fitting experimentally measured diffuse reflectance spectra. In order to speed up the inverse fitting process, time-consuming MC simulations have been replaced by artificial neural networks to quickly calculate reflectance spectra given tissue geometric and optical parameters. In this study the skin was modeled to consist of three layers and different scattering properties of the layers were considered. A new inverse fitting procedure was proposed to improve the extraction of chromophore-related information in the skin, including the hemoglobin concentration, oxygen saturation and melanin absorption. The performance of the new inverse fitting procedure was evaluated on 40 sets of simulated spectra. The results showed that the fitting procedure without knowing the epidermis thickness extracted chromophore information with accuracy similar to or better than fitting with known epidermis thickness, which is advantageous for practical applications due to simpler and more cost-effective instruments. In addition, the melanin volume fraction multiplied by the thickness of the melanin-containing epidermis layer was estimated more accurately than the melanin volume fraction itself. This product has the potential to provide a quantitative indicator of melanin absorption in the skin. In-vivo cuff occlusion experiments were conducted and skin optical properties extracted from the experiments were comparable to the results of previously reported in vivo studies. The results of the current study demonstrated the applicability of the proposed method to quantify the optical properties related to major chromophores in the skin, as well as scattering coefficients of the dermis. Therefore, it has the potential to be a useful tool for quantifying skin optical properties in vivo.
机译:皮肤由具有独特光学特性的表皮和真皮层组成。皮肤光学特性的量化通常是通过使用蒙特卡洛(MC)仿真对组织中的光子传播进行建模并迭代拟合实验测量的漫反射光谱来实现的。为了加快逆拟合过程,费时的MC模拟已由人工神经网络取代,可以在给定组织几何和光学参数的情况下快速计算反射光谱。在本研究中,将皮肤建模为由三层组成,并考虑了各层的不同散射特性。提出了一种新的逆拟合程序,以改善皮肤中发色团相关信息的提取,包括血红蛋白浓度,氧饱和度和黑色素吸收。在40套模拟光谱上评估了新的逆拟合程序的性能。结果表明,在不知道表皮厚度的情况下进行拟合的过程,其发色团信息的准确性与在已知表皮厚度下进行拟合的准确性相近,甚至更好,由于仪器更简单,更具成本效益,因此在实际应用中具有优势。此外,黑色素体积分数乘以含黑色素的表皮层的厚度要比黑色素体积分数本身更准确。该产品有潜力提供皮肤中黑色素吸收的定量指标。进行了体内袖套阻塞实验,从实验中提取的皮肤光学特性与先前报道的体内研究结果相当。当前研究的结果证明了所提出的方法可用于量化与皮肤中主要发色团有关的光学特性以及真皮的散射系数。因此,它有可能成为量化体内皮肤光学特性的有用工具。

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