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Monte-Carlo simulation of the memory effect in random media beyond the diffusion limit

Chen Bar, Marina Alterman, Ioannis Gkioulekas, Anat Levin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We derive a physically accurate and computationally efficient Monte Carlo algorithm that can be used to evaluate the complex statistics of speckle fields in scattering media. This allows evaluating and studying second-order speckle statistics, such as the memory effect, for a large variety of material and imaging parameters, including turbid materials. This helps bridge the gap between analytical formulas, derived under restrictive assumptions such as diffusion, and empirical lab measurements. It also opens up the possibility for discovering new types of correlation effects, and using those to improve our ability to see through and focus into random media.

Original languageEnglish
Title of host publicationEuropean Conference on Biomedical Optics, ECBO_2019
Volume11078
ISBN (Electronic)9781557528209
DOIs
StatePublished - 2019
EventEuropean Conference on Biomedical Optics, ECBO_2019 - Munich, Netherlands
Duration: 23 Jun 201925 Jun 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
PublisherSPIE

Conference

ConferenceEuropean Conference on Biomedical Optics, ECBO_2019
Country/TerritoryNetherlands
CityMunich
Period23/06/1925/06/19

Keywords

  • Memory effect
  • Monte Carlo
  • Speckle statistics

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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