title: Selection of voxel size and photon number in voxel-based Monte Carlo method: criteria and applications.
abstract: The voxel-based Monte Carlo method (VMC) is now a gold standard in the simulation of light propagation in turbid media. For complex tissue structures, however, the computational cost will be higher when small voxels are used to improve smoothness of tissue interface and a large number of photons are used to obtain accurate results. To reduce computational cost, criteria were proposed to determine the voxel size and photon number in 3-dimensional VMC simulations with acceptable accuracy and computation time. The selection of the voxel size can be expressed as a function of tissue geometry and optical properties. The photon number should be at least 5 times the total voxel number. These criteria are further applied in developing a photon ray splitting scheme of local grid refinement technique to reduce computational cost of a nonuniform tissue structure with significantly varying optical properties. In the proposed technique, a nonuniform refined grid system is used, where fine grids are used for the tissue with high absorption and complex geometry, and coarse grids are used for the other part. In this technique, the total photon number is selected based on the voxel size of the coarse grid. Furthermore, the photon-splitting scheme is developed to satisfy the statistical accuracy requirement for the dense grid area. Result shows that local grid refinement technique photon ray splitting scheme can accelerate the computation by 7.6 times (reduce time consumption from 17.5 to 2.3 h) in the simulation of laser light energy deposition in skin tissue that contains port wine stain lesions.
authors.affiliation: Xi'an Jiaotong University, State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an 710049, China.
authors.forename: Dong
authors.initials: D
authors.lastname: Li
authors.affiliation: Xi'an Jiaotong University, State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an 710049, China.
authors.forename: Bin
authors.initials: B
authors.lastname: Chen
authors.affiliation: Xi'an Jiaotong University, State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an 710049, China.
authors.forename: Wei Yu
authors.initials: WY
authors.lastname: Ran
authors.affiliation: Xi'an Jiaotong University, State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an 710049, ChinabUniversity of Akron, Department of Mechanical Engineering, Akron, Ohio 44325-3903, United States.
authors.forename: Guo Xiang
authors.initials: GX
authors.lastname: Wang
authors.affiliation: Xi'an Jiaotong University, State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an 710049, China.
authors.forename: Wen Juan
authors.initials: WJ
authors.lastname: Wu
mesh_terms: D003198:Computer Simulation; D008027:Light; D008954:Models, Biological; D015233:Models, Statistical; D009010:Monte Carlo Method; D009391:Nephelometry and Turbidimetry / Q000379:methods*; D017785:Photons; D012031:Refractometry / Q000379:methods; D015203:Reproducibility of Results; D012542:Scattering, Radiation; D012680:Sensitivity and Specificity