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

Caigang Zhu, Quan Liu

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

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.

Original languageEnglish
Article number010501
JournalJournal of Biomedical Optics
Volume17
Issue number1
DOIs
StatePublished - Jan 2012

Bibliographical note

Funding Information:
We gratefully acknowledge the financial support from Tier 1 grant RG47/09 and Tier 2 grant MOE 2010-T2-1-049, funded by the Ministry of Education in Singapore.

Keywords

  • Diffuse reflectance
  • Epithelial cancer
  • Perturbation Monte Carlo
  • Scaling method
  • Tumor-like heterogeneity

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Biomedical Engineering

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