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

Chen Bar; Marina Alterman; Ioannis Gkioulekas; Anat Levin

doi:10.1117/12.2526489

19 July 2019 Monte-Carlo simulation of the memory effect in random media beyond the diffusion limit

Chen Bar, Marina Alterman, Ioannis Gkioulekas, Anat Levin

Author Affiliations +

Proceedings Volume 11078, Optical Coherence Imaging Techniques and Imaging in Scattering Media III; 110780B (2019) https://doi.org/10.1117/12.2526489
Event: European Conferences on Biomedical Optics, 2019, Munich, Germany

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.

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Chen Bar, Marina Alterman, Ioannis Gkioulekas, and Anat Levin "Monte-Carlo simulation of the memory effect in random media beyond the diffusion limit", Proc. SPIE 11078, Optical Coherence Imaging Techniques and Imaging in Scattering Media III, 110780B (19 July 2019); https://doi.org/10.1117/12.2526489

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