title: Hybrid simplified spherical harmonics with diffusion equation for light propagation in tissues.
abstract: Aiming at the limitations of the simplified spherical harmonics approximation (SPN) and diffusion equation (DE) in describing the light propagation in tissues, a hybrid simplified spherical harmonics with diffusion equation (HSDE) based diffuse light transport model is proposed. In the HSDE model, the living body is first segmented into several major organs, and then the organs are divided into high scattering tissues and other tissues. DE and SPN are employed to describe the light propagation in these two kinds of tissues respectively, which are finally coupled using the established boundary coupling condition. The HSDE model makes full use of the advantages of SPN and DE, and abandons their disadvantages, so that it can provide a perfect balance between accuracy and computation time. Using the finite element method, the HSDE is solved for light flux density map on body surface. The accuracy and efficiency of the HSDE are validated with both regular geometries and digital mouse model based simulations. Corresponding results reveal that a comparable accuracy and much less computation time are achieved compared with the SPN model as well as a much better accuracy compared with the DE one.
authors.affiliation: Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education and School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, People's Republic of China.
authors.forename: Xueli
authors.initials: X
authors.lastname: Chen
authors.forename: Fangfang
authors.initials: F
authors.lastname: Sun
authors.forename: Defu
authors.initials: D
authors.lastname: Yang
authors.forename: Shenghan
authors.initials: S
authors.lastname: Ren
authors.forename: Qian
authors.initials: Q
authors.lastname: Zhang
authors.forename: Jimin
authors.initials: J
authors.lastname: Liang
mesh_terms: D065638:Absorption, Radiation; D000818:Animals; D004058:Diffusion; D008027:Light; D051379:Mice; D008962:Models, Theoretical; D011834:Radiation Monitoring / Q000379:methods*