28 April 2005 Quantitative modeling of tissue images using a parallel Monte Carlo method
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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.
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Kai Li, Kai Li, Jun Q. Lu, Jun Q. Lu, R, Scott Brock, R, Scott Brock, Biwu Yang, Biwu Yang, Suisheng Zhao, Suisheng Zhao, Xin-Hua Hu, Xin-Hua Hu, } "Quantitative modeling of tissue images using a parallel Monte Carlo method", Proc. SPIE 5693, Optical Tomography and Spectroscopy of Tissue VI, (28 April 2005); doi: 10.1117/12.589658; https://doi.org/10.1117/12.589658
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