Quantitative modeling of tissue images using a parallel Monte Carlo method

Kai Li; Jun Q. Lu; R, Scott Brock; Biwu Yang; Suisheng Zhao; Xin-Hua Hu

doi:10.1117/12.589658

28 April 2005 Quantitative modeling of tissue images using a parallel Monte Carlo method

Kai Li, Jun Q. Lu, R, Scott Brock, Biwu Yang, Suisheng Zhao, Xin-Hua Hu

Proceedings Volume 5693, Optical Tomography and Spectroscopy of Tissue VI; (2005) https://doi.org/10.1117/12.589658
Event: SPIE BiOS, 2005, San Jose, CA, United States

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.

Citation Download Citation

Kai Li, Jun Q. Lu, R, Scott Brock, Biwu Yang, Suisheng Zhao, and 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); https://doi.org/10.1117/12.589658

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