Monte Carlo based investigation of berry phase for depth resolved characterization of biomedical scattering samples

J. S. Baba; V. Koju; D. John

doi:10.1117/12.2083421

10 March 2015 Monte Carlo based investigation of berry phase for depth resolved characterization of biomedical scattering samples

J. S. Baba, V. Koju, D. John

Author Affiliations +

Proceedings Volume 9333, Biomedical Applications of Light Scattering IX; 93330O (2015) https://doi.org/10.1117/12.2083421
Event: SPIE BiOS, 2015, San Francisco, California, United States

Abstract

The propagation of light in turbid media is an active area of research with relevance to numerous investigational fields, e.g., biomedical diagnostics and therapeutics. The statistical random-walk nature of photon propagation through turbid media is ideal for computational based modeling and simulation. Ready access to super computing resources provide a means for attaining brute force solutions to stochastic light-matter interactions entailing scattering by facilitating timely propagation of sufficient (>10⁷) photons while tracking characteristic parameters based on the incorporated physics of the problem. One such model that works well for isotropic but fails for anisotropic scatter, which is the case for many biomedical sample scattering problems, is the diffusion approximation. In this report, we address this by utilizing Berry phase (BP) evolution as a means for capturing anisotropic scattering characteristics of samples in the preceding depth where the diffusion approximation fails. We extend the polarization sensitive Monte Carlo method of Ramella-Roman, et al., to include the computationally intensive tracking of photon trajectory in addition to polarization state at every scattering event. To speed-up the computations, which entail the appropriate rotations of reference frames, the code was parallelized using OpenMP. The results presented reveal that BP is strongly correlated to the photon penetration depth, thus potentiating the possibility of polarimetric depth resolved characterization of highly scattering samples, e.g., biological tissues.

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J. S. Baba, V. Koju, and D. John "Monte Carlo based investigation of berry phase for depth resolved characterization of biomedical scattering samples", Proc. SPIE 9333, Biomedical Applications of Light Scattering IX, 93330O (10 March 2015); https://doi.org/10.1117/12.2083421

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KEYWORDS

Scattering

Monte Carlo methods

Light scattering

Photon polarization

Biomedical optics

Photon transport

Polarization

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