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Combining the diffusion approximation and Monte Carlo modeling in analysis of diffuse reflectance spectra from human skin

机译:结合扩散近似和蒙特卡洛模型分析人皮肤的漫反射光谱

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Light propagation in highly scattering biological tissues is often treated in the so-called diffusion approximation (DA) Although the analytical solutions derived within the DA are known to be inaccurate near tissue boundaries and absorbing layers, their use in quantitative analysis of diffuse reflectance spectra (DRS) is quite common. We analyze the artifacts in assessed tissue properties which occur in fitting of numerically simulated DRS with the DA solutions for a three-layer skin model. In addition, we introduce an original procedure which significantly improves the accuracy of such an inverse analysis of DRS. This procedure involves a single comparison run of a Monte Carlo (MC) numerical model, yet avoids the need to implement and run an inverse MC. This approach is tested also in analysis of experimental DRS from human skin.
机译:高度散射的生物组织中的光传播通常采用所谓的扩散近似(DA)处理。尽管众所周知,DA内得出的分析溶液在组织边界和吸收层附近不准确,但它们可用于漫反射光谱的定量分析( DRS)非常普遍。我们分析了在评估的组织特性中的伪影,这些伪影在将数字模拟DRS与DA解决方案拟合为三层皮肤模型时发生。此外,我们介绍了一种原始程序,该程序大大提高了这种DRS反分析的准确性。此过程只需要对Monte Carlo(MC)数值模型进行一次比较,就可以避免实施和运行逆MC。在分析来自人体皮肤的实验性DRS时,也测试了此方法。

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