A Markov Chain-based quantitative study of angular distribution of photons through turbid slabs via isotropic light scattering

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• 作者：Xuesong Li ; ^{lixx4658@umn.edu" class="auth_mail" title="E-mail the corresponding author} ; William F. Northrop
• 关键词：Multiple scattering ; Markov processes ; Monte Carlo methods
• 刊名：Computer Physics Communications
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：201
• 期：Complete
• 页码：77-84
• 全文大小：1669 K

文摘

This paper describes a quantitative approach to approximate multiple scattering through an isotropic turbid slab based on Markov Chain theorem. There is an increasing need to utilize multiple scattering for optical diagnostic purposes; however, existing methods are either inaccurate or computationally expensive. Here, we develop a novel Markov Chain approximation approach to solve multiple scattering angular distribution (AD) that can accurately calculate AD while significantly reducing computational cost compared to Monte Carlo simulation. We expect this work to stimulate ongoing multiple scattering research and deterministic reconstruction algorithm development with AD measurements.