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Efficient computation of the steady-state and time-domain solutions of the photon diffusion equation in layered turbid media

计算 扩散方程 稳态(化学) 蒙特卡罗方法 扩散 趋同(经济学) 计算机科学 数值分析 时域 光子 算法 数学分析 物理 数学 光学 化学 统计 经济 物理化学 经济增长 经济 计算机视觉 热力学 服务(商务)
作者
Michael Helton,Samantha Zerafa,Karthik Vishwanath,Mary‐Ann Mycek
出处
期刊:Scientific Reports [Nature Portfolio]
卷期号:12 (1) 被引量:4
标识
DOI:10.1038/s41598-022-22649-4
摘要

Accurate and efficient forward models of photon migration in heterogeneous geometries are important for many applications of light in medicine because many biological tissues exhibit a layered structure of independent optical properties and thickness. However, closed form analytical solutions are not readily available for layered tissue-models, and often are modeled using computationally expensive numerical techniques or theoretical approximations that limit accuracy and real-time analysis. Here, we develop an open-source accurate, efficient, and stable numerical routine to solve the diffusion equation in the steady-state and time-domain for a layered cylinder tissue model with an arbitrary number of layers and specified thickness and optical coefficients. We show that the steady-state ([Formula: see text] ms) and time-domain ([Formula: see text] ms) fluence (for an 8-layer medium) can be calculated with absolute numerical errors approaching machine precision. The numerical implementation increased computation speed by 3 to 4 orders of magnitude compared to previously reported theoretical solutions in layered media. We verify our solutions asymptotically to homogeneous tissue geometries using closed form analytical solutions to assess convergence and numerical accuracy. Approximate solutions to compute the reflected intensity are presented which can decrease the computation time by an additional 2-3 orders of magnitude. We also compare our solutions for 2, 3, and 5 layered media to gold-standard Monte Carlo simulations in layered tissue models of high interest in biomedical optics (e.g. skin/fat/muscle and brain). The presented routine could enable more robust real-time data analysis tools in heterogeneous tissues that are important in many clinical applications such as functional brain imaging and diffuse optical spectroscopy.

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