Monte Carlo (MC) has been widely used to simulate light transport in tissues for various applications and gone through several improvements. Based on the Monte Carlo method, a platform named MOSE (Molecular Optical Simulation Environment) was developed in our lab, which could support the simulation of photon transport in 2D/3D geometries or arbitrary-shaped phantoms described with triangle meshes. Monte Carlo simulation has very good parallel quality because of its statistical independence. MC has many advantages, but one biggest disadvantage is that direct Monte Carlo simulation demands large computational capacity. However, parallel computing can make up this point. Many simulations of large capacity that the single computer can not bear can be executed gracefully on PC clusters through parallel computing. The main work of this dissertation is to combine parallel computing with Monte Carlo method to elevate simulation speed. Specifically, the work of this dissertation focuses on two aspects. First, a parallel code of Monte Carlo simulation for the photon transport in bioluminescence imaging is developed, i.e., the parallel mechanism is introduced into the console Monte Carlo code forming a parallel simulation platform named ParaMose. The parallel mechanism includes the selection of appropriate parallel environment, parallel random number generator, dynamic task allocation, master/slave communication, etc. Besides, there is also the application of multi-spectral photon transport simulation, combination of the parallel simulation results. Second, a series of experiments of validation and application on ParaMose are conducted. The parallel simulation results of ParaMose are validated quantitatively, and then the parallel performance of ParaMose is studied. ParaMose is also compared with serial Monte Carlo simulation via MOSE and parallel simulation via software triMC3D. Finally, the applications of ParaMose to a heterogeneous phantom, multi-spectral simulation and large numbers of photon simulation are presented.
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