
Markov chain solution of photon multiple scattering through turbid slabs
Author(s) -
Yow−Jon Lin,
William F. Northrop,
Xuesong Li
Publication year - 2016
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.24.026942
Subject(s) - markov chain , scattering , mie scattering , monte carlo method , markov chain monte carlo , photon , matrix (chemical analysis) , markov process , optics , statistical physics , physics , light scattering , computer science , materials science , mathematics , machine learning , statistics , composite material
This work introduces a Markov Chain solution to model photon multiple scattering through turbid slabs via anisotropic scattering process, i.e., Mie scattering. Results show that the proposed Markov Chain model agree with commonly used Monte Carlo simulation for various mediums such as medium with non-uniform phase functions and absorbing medium. The proposed Markov Chain solution method successfully converts the complex multiple scattering problem with practical phase functions into a matrix form and solves transmitted/reflected photon angular distributions by matrix multiplications. Such characteristics would potentially allow practical inversions by matrix manipulation or stochastic algorithms where widely applied stochastic methods such as Monte Carlo simulations usually fail, and thus enable practical diagnostics reconstructions such as medical diagnosis, spray analysis, and atmosphere sciences.