Spectral reflectance fitting based on Monte Carlo simulation using a multi-layered skin tissue model

Abstract

Nine-layered skin tissue model is developed for Monte Carlo simulation of spectral reflectance. Various spectral reflectance curves are generated by taking different values in five input parameters: scattering coefficient, absorption coefficient, anisotropic scattering parameter, refractive index, and layer thickness in each of the nine layers. These curves are then discussed to investigate spectral characteristics corresponding to change of values in the parameters. Using appropriate values in such optical and geometrical parameters, simulated spectra can be produced to agree well with measured spectra. This approach provides a flexible spectral fitting means to measured results and estimation of change in the parameters in skin tissue.