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Analytical light reflectance models for overlapping illumination and collection area geometries

机译:重叠照明和收集区域几何形状的分析光反射率模型

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摘要

Several biomedical applications, such as detection of dysplasia, require selective interrogation of superficial tissue structures less than a few hundred micrometers thick. Techniques and methods have been developed to limit the penetration depth of light in tissue, including the design of systems such as fiber-optic probes that have overlapping illumination and collection areas on the tissue surface. For such geometries, the diffusion approximation to the light-transport equation typically does not apply, and as a result there is no general model to extract tissue optical properties from reflectance measurements. In the current study, we employ Monte Carlo (MC) simulations to develop simple and compact analytical models for the light reflectance from these overlapping geometries. These models incorporate the size of the illumination and collection areas, the collection angle, the polarization of the incident light, and the optical properties of the sample. Moreover, these MC simulations use the Whittle-Matern model to describe scattering from spatially continuous refractive index media such as tissue, which is more general than models based on the conventionally used Henyey-Greenstein model. We validated these models on tissue-simulating phantoms. The models developed herein will facilitate the extraction of optical properties and aid in the design of optical systems employing overlapping illumination and collection areas, including fiber-optic probes for in vivo tissue diagnosis.
机译:几种生物医学应用,例如发育异常的检测,要求选择性地询问厚度小于几百微米的浅表组织结构。已经开发出用于限制光在组织中的穿透深度的技术和方法,包括诸如在组织表面上具有重叠的照明和收集区域的光纤探针之类的系统的设计。对于这样的几何形状,通常不适用对光传输方程的扩散近似,因此,不存在用于从反射率测量中提取组织光学特性的通用模型。在当前的研究中,我们采用蒙特卡洛(MC)模拟来为这些重叠几何的光反射率开发简单而紧凑的分析模型。这些模型包括照明和收集区域的大小,收集角度,入射光的偏振以及样品的光学特性。此外,这些MC模拟使用Whittle-Matern模型来描述来自空间连续折射率介质(例如组织)的散射,这比基于常规使用的Henyey-Greenstein模型的模型更为普遍。我们在组织模拟体模上验证了这些模型。本文开发的模型将有助于光学特性的提取,并有助于设计采用重叠照明和收集区域的光学系统,包括用于体内组织诊断的光纤探头。

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