Hybrid method for fast Monte Carlo simulation of diffuse reflectance from a multilayered tissue model with tumor-like heterogeneities

Zhu, Caigang; Liu, Quan

doi:doi:10.1117/1.JBO.17.1.010501

GENERAL INFORMATION

SPIE Letters Virtual Journal / Volume 2012 / Letters from Journal of Biomedical Optics

J. Biomed. Opt. 17, 010501 (1 February 2012); http://dx.doi.org/10.1117/1.JBO.17.1.010501

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Abstract

References (11)

Caigang Zhu and Quan Liu

Nanyang Technological University, Division of Bioengineering, School of Chemical and Biomedical Engineering, Singapore 637457

We present a hybrid method that combines a multilayered scaling method and a perturbation method to speed up the Monte Carlo simulation of diffuse reflectance from a multilayered tissue model with finite-size tumor-like heterogeneities. The proposed method consists of two steps. In the first step, a set of photon trajectory information generated from a baseline Monte Carlo simulation is utilized to scale the exit weight and exit distance of survival photons for the multilayered tissue model. In the second step, another set of photon trajectory information, including the locations of all collision events from the baseline simulation and the scaling result obtained from the first step, is employed by the perturbation Monte Carlo method to estimate diffuse reflectance from the multilayered tissue model with tumor-like heterogeneities. Our method is demonstrated to shorten simulation time by several orders of magnitude. Moreover, this hybrid method works for a larger range of probe configurations and tumor models than the scaling method or the perturbation method alone.

History

Received Oct 07, 2011
Revised Nov 17, 2011
Published online Feb 01, 2012

Digital Object Identifier

http://dx.doi.org/10.1117/1.JBO.17.1.010501

Citation

Caigang Zhu and Quan Liu, "Hybrid method for fast Monte Carlo simulation of diffuse reflectance from a multilayered tissue model with tumor-like heterogeneities", J. Biomed. Opt. 17, 010501 (1 February 2012); http://dx.doi.org/10.1117/1.JBO.17.1.010501

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