title: Monte Carlo simulation of light transport in turbid medium with embedded object--spherical, cylindrical, ellipsoidal, or cuboidal objects embedded within multilayered tissues.
abstract: Monte Carlo modeling of light transport in multilayered tissue (MCML) is modified to incorporate objects of various shapes (sphere, ellipsoid, cylinder, or cuboid) with a refractive-index mismatched boundary. These geometries would be useful for modeling lymph nodes, tumors, blood vessels, capillaries, bones, the head, and other body parts. Mesh-based Monte Carlo (MMC) has also been used to compare the results from the MCML with embedded objects (MCML-EO). Our simulation assumes a realistic tissue model and can also handle the transmission/reflection at the object-tissue boundary due to the mismatch of the refractive index. Simulation of MCML-EO takes a few seconds, whereas MMC takes nearly an hour for the same geometry and optical properties. Contour plots of fluence distribution from MCML-EO and MMC correlate well. This study assists one to decide on the tool to use for modeling light propagation in biological tissue with objects of regular shapes embedded in it. For irregular inhomogeneity in the model (tissue), MMC has to be used. If the embedded objects (inhomogeneity) are of regular geometry (shapes), then MCML-EO is a better option, as simulations like Raman scattering, fluorescent imaging, and optical coherence tomography are currently possible only with MCML.
authors.affiliation: Indian Institute of Science, Electrical Engineering, C.V. Raman Avenue, Bangalore 560012, India.
authors.forename: Vijitha
authors.initials: V
authors.lastname: Periyasamy
authors.affiliation: Indian Institute of Science, Electrical Engineering, C.V. Raman Avenue, Bangalore 560012, IndiabNanyang Technological University, School of Chemical and Biomedical Engineering, Division of Bioengineering, Biomedical Imaging Laboratory, 70 Nanyang Drive 63.
authors.forename: Manojit
authors.initials: M
authors.lastname: Pramanik
mesh_terms: D003198:Computer Simulation; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008027:Light; D008954:Models, Biological; D009010:Monte Carlo Method; D012031:Refractometry; D012542:Scattering, Radiation