Author Affiliations
Abstract
1 School of Information Sciences and Technology, Northwest University, Xi'an Shaanxi 710127, P. R. China
2 Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an Shaanxi 710126, P. R. China
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 Carlobased simulation packages, including Monte Carlo model of steady-state light transport in multilayered 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, e±cient, and stable MC simulation package for users.
transport Monte Carlo comparative evaluation mesh datasets Journal of Innovative Optical Health Sciences
2018, 11(1): 1750017
Author Affiliations
Abstract
Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education & School of Life Science and Technology, Xidian University, Xi’an 710071, China
Simplified spherical harmonics approximation (SPN) equations are widely used in modeling light propagation in biological tissues. However, with the increase of order N, its computational burden will severely aggravate. We propose a graphics processing unit (GPU) accelerated framework for SPN equations. Compared with the conventional central processing unit implementation, an increased performance of the GPU framework is obtained with an increase in mesh size, with the best speed-up ratio of 25 among the studied cases. The influence of thread distribution on the performance of the GPU framework is also investigated.
170.3660 Light propagation in tissues 170.7050 Turbid media 200.4960 Parallel processing Chinese Optics Letters
2016, 14(7): 071701
