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Applicability of diffusion approximation in analysis of diffuse reflectance spectra from healthy human skin

机译:扩散近似在健康人体皮肤漫反射光谱分析中的适用性

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Measurement of diffuse reflectance spectra (DRS) is a common experimental approach for non-invasive determination of tissue optical properties, as well as objective monitoring of various tissue malformations. Propagation of light in scattering media is often treated in diffusion approximation (DA). The major advantage of this approach is that it leads to enclosed analytical solutions for tissues with layered structure, which includes human skin. Despite the fact that DA solutions were shown to be inaccurate near tissue boundaries, the practicality of this approach makes it quite popular, especially when attempting extraction of specific chromophore concentrations from measured DRS. In this study we analyze the discrepancies between DRS spectra as obtained by using the DA solutions for three-layer skin model and more accurate predictions from Monte Carlo (MC) modeling. Next, we analyze the artifacts which result from the above discrepancies when extracting the parameters of skin structure and composition by fitting the DA solutions to the MC spectra. The reliability and usefulness of such a fit is then tested also on measurements of seasonal changes in otherwise healthy human skin.
机译:漫反射光谱(DRS)的测量是用于非侵入性确定组织光学特性以及客观监视各种组织畸形的常用实验方法。光在散射介质中的传播通常以扩散近似(DA)处理。这种方法的主要优点是可以为包括人体皮肤在内的具有分层结构的组织提供封闭的分析解决方案。尽管事实证明,DA溶液在组织边界附近不准确,但这种方法的实用性使其颇受欢迎,尤其是在尝试从测得的DRS中提取特定发色团浓度时。在这项研究中,我们分析了通过使用DA解决方案对三层皮肤模型获得的DRS光谱之间的差异,以及从蒙特卡洛(MC)建模获得的更准确的预测。接下来,我们通过将DA解决方案与MC光谱拟合来提取皮肤结构和成分参数时,分析由上述差异引起的伪影。然后,还通过测量其他方面健康的人类皮肤的季节性变化来测试这种拟合的可靠性和有用性。

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