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Proceedings Paper

Discussion on backscattered polarization patterns from turbid media in a layered structure
Author(s): Lanqing Xu; Amei Cai; Xuan Lin; Hui Li
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Paper Abstract

Propagation of polarized light in turbid media such as bio-tissue has attracted significant recent interest because of its promising applications in noninvasive optical diagnosis and imaging. In this paper Monte Carlo algorithm and Stokes-Mueller formalism were used to simulate the propagation behavior of polarized light in turbid media and discuss the backscattered polarization patterns in a layered structure. The two dimensional (2D) distributions of backscattered Stokes vectors were calculated. Using user-defined functions, integrated Stokes vectors were calculated and analyzed quantificationally. Results suggest that each optical property parameter, such as scattering, absorption and structure layer, has dissimilar effects on backscattered polarization patterns. Scattering produce a spatial re-distribution of light, while absorption only causes a uniform decrease in intensity. Both can be easily differentiated by backscattered polarization patterns. Backscattered polarization patterns from a two-layer model with thin surface layer were also calculated, integrated Stokes vector represent disparate alternant rule for upper and lower layer, which suggest possibilities for discriminating subtle epidermal structure. All these results together indicate that discriminate optical properties in turbid media with layered structure using backscattered polarization patterns is feasible.

Paper Details

Date Published: 6 March 2009
PDF: 7 pages
Proc. SPIE 7280, Seventh International Conference on Photonics and Imaging in Biology and Medicine, 72800X (6 March 2009); doi: 10.1117/12.821314
Show Author Affiliations
Lanqing Xu, Fujian Normal Univ. (China)
Amei Cai, Fujian Normal Univ. (China)
Xuan Lin, Fujian Normal Univ. (China)
Hui Li, Fujian Normal Univ. (China)

Published in SPIE Proceedings Vol. 7280:
Seventh International Conference on Photonics and Imaging in Biology and Medicine
Qingming Luo; Lihong V. Wang; Valery V. Tuchin, Editor(s)

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