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Proceedings Paper

Quantitative modeling of tissue images using a parallel Monte Carlo method
Author(s): Kai Li; Jun Q. Lu; R, Scott Brock; Biwu Yang; Suisheng Zhao; Xin-Hua Hu
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Paper Abstract

To investigate the dependence of image features on the spatial distribution of tissue optical parameters, we have developed a parallel Monte Carlo code that is capable of simulating light propagation and distribution in heterogeneous tissue phantoms. With a parallel cluster of 16 processing elements running on a Linux operating system, this code can generate reflectance images with negligible statistical fluctuation by tracking 8x108 photons in less than 30 minutes. Using this code, the effect of skin bulk optical parameters of μ s, μ a and g and their heterogeneous distributions on the reflectance image have been analyzed.

Paper Details

Date Published: 28 April 2005
PDF: 6 pages
Proc. SPIE 5693, Optical Tomography and Spectroscopy of Tissue VI, (28 April 2005); doi: 10.1117/12.589658
Show Author Affiliations
Kai Li, East Carolina Univ. (United States)
Jun Q. Lu, East Carolina Univ. (United States)
R, Scott Brock, East Carolina Univ. (United States)
Biwu Yang, East Carolina Univ. (United States)
Suisheng Zhao, Cisco Systems, Inc. (United States)
Xin-Hua Hu, East Carolina Univ. (United States)


Published in SPIE Proceedings Vol. 5693:
Optical Tomography and Spectroscopy of Tissue VI
Britton Chance; Robert R. Alfano; Bruce J. Tromberg; Mamoru Tamura; Eva M. Sevick-Muraca, Editor(s)

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