Abstract

Monte Carlo simulation of light propagation in turbid medium has been studied for years. A number of software packages have been developed to handle with such issue. However, it is hard to compare these simulation packages, especially for tissues with complex heterogeneous structures. Here, we first designed a group of mesh datasets generated by Iso2Mesh software, and used them to cross-validate the accuracy and to evaluate the performance of four Monte Carlo-based simulation packages, including Monte Carlo model of steady-state light transport in multi-layered tissues (MCML), tetrahedron-based inhomogeneous Monte Carlo optical simulator (TIMOS), Molecular Optical Simulation Environment (MOSE), and Mesh-based Monte Carlo (MMC). The performance of each package was evaluated based on the designed mesh datasets. The merits and demerits of each package were also discussed. Comparative results showed that the TIMOS package provided the best performance, which proved to be a reliable, efficient, and stable MC simulation package for users.

Highlights

  • Optical imaging techniques play an important role in preclinical researches, such as cancer detection and drug development.[1,2] The study of light propagation is essential for optical imaging, especially for threedimensional (3D) optical imaging

  • tetrahedron-based inhomogeneous Monte Carlo optical simulator (TIMOS), which demonstrated the consistency of these Monte Carlo (MC) simulation packages

  • The result shows a good agreement between Molecular Optical Simulation Environment (MOSE), MCML and TIMOS

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Summary

Introduction

Optical imaging techniques play an important role in preclinical researches, such as cancer detection and drug development.[1,2] The study of light propagation is essential for optical imaging, especially for threedimensional (3D) optical imaging. This is an Open Access article published by World Scientic Publishing Company. Monte Carlo (MC) method has been commonly used for the simulation of light propagation in tissues by simulating a large number of photon trajectories. The physical quantities, such as the photon absorbance, re°ectance, and transmittance are usually recorded. Because it is a statistics-based method, the MC simulation result is often used as the gold standard to validate other numerical solutions

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