Literature DB >> 25968708

Modeling focusing Gaussian beams in a turbid medium with Monte Carlo simulations.

Brett H Hokr, Joel N Bixler, Gabriel Elpers, Byron Zollars, Robert J Thomas, Vladislav V Yakovlev, Marlan O Scully.   

Abstract

Monte Carlo techniques are the gold standard for studying light propagation in turbid media. Traditional Monte Carlo techniques are unable to include wave effects, such as diffraction; thus, these methods are unsuitable for exploring focusing geometries where a significant ballistic component remains at the focal plane. Here, a method is presented for accurately simulating photon propagation at the focal plane, in the context of a traditional Monte Carlo simulation. This is accomplished by propagating ballistic photons along trajectories predicted by Gaussian optics until they undergo an initial scattering event, after which, they are propagated through the medium by a traditional Monte Carlo technique. Solving a known problem by building upon an existing Monte Carlo implementation allows this method to be easily implemented in a wide variety of existing Monte Carlo simulations, greatly improving the accuracy of those models for studying dynamics in a focusing geometry.

Year:  2015        PMID: 25968708     DOI: 10.1364/OE.23.008699

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  7 in total

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2.  Assessing the imaging performance of light sheet microscopies in highly scattering tissues.

Authors:  A K Glaser; Y Wang; J T C Liu
Journal:  Biomed Opt Express       Date:  2016-01-14       Impact factor: 3.732

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Authors:  Adam K Glaser; Ye Chen; Jonathan T C Liu
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5.  Accurate Monte Carlo simulation of frequency-domain optical coherence tomography.

Authors:  Yan Wang; Li Bai
Journal:  Int J Numer Method Biomed Eng       Date:  2019-03-07       Impact factor: 2.747

6.  Machine learning estimation of tissue optical properties.

Authors:  Brett H Hokr; Joel N Bixler
Journal:  Sci Rep       Date:  2021-03-22       Impact factor: 4.996

7.  Multispectral snapshot imaging of skin microcirculatory hemoglobin oxygen saturation using artificial neural networks trained on in vivo data.

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  7 in total

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