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24 April 1998 Monte Carlo simulation of polarized backscattering in spatially limited random media
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Proceedings Volume 3251, Coherence Domain Optical Methods in Biomedical Science and Clinical Applications II; (1998) https://doi.org/10.1117/12.306059
Event: BiOS '98 International Biomedical Optics Symposium, 1998, San Jose, CA, United States
Abstract
Investigation of the polarization characteristics of scattered light can be effectively used for diagnosis of biotissues and bio-objects. Usually the whole indicatrices of scattered light can not be measured in vivo. So the investigation of polarized backscattered light is of great interest. The high concentration of scatterers in such objects requires the multiple scattering effects to be accounted for. In this work the Monte-Carlo method was used to describe the multiple scattering of polarized light. Trajectories of each migrating photon were traced by this method. Probability density of scattering directions are determined according to the Mie formulas with accounting for the polarization of each photon. As a result, the Stokes vectors of scattered light were calculated. So, we have determined the changes of polarization characteristics caused by the variations of the dimensions and concentrations of scatterers and by the geometry of medium. The influence of the order of scattering on the depolarization of scattered light also have been investigated. We present the patterns of spatial distribution of intensities backscattered polarized light. Calculations were performed for the systems of isotrope spherical scatterers and the obtained results were compared with the experimental data of measurement in the cross-polarized channel described in.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Irina L. Maksimova, Vera F. Izotova, and Sergey V. Romanov "Monte Carlo simulation of polarized backscattering in spatially limited random media", Proc. SPIE 3251, Coherence Domain Optical Methods in Biomedical Science and Clinical Applications II, (24 April 1998); https://doi.org/10.1117/12.306059
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