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

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Abstract

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.

Original languageEnglish (US)
Pages (from-to)77-84
Number of pages8
JournalComputer Physics Communications
Volume201
DOIs
StatePublished - Apr 1 2016

Bibliographical note

Publisher Copyright:
© 2016 Elsevier B.V. All rights reserved.

Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.

Keywords

  • Markov processes
  • Monte Carlo methods
  • Multiple scattering

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