Title: A Deterministic Model of Radiative Transport for Use in Spatial Frequency Domain Imaging
Abstract: Spatial Frequency Domain Imaging is an optical imaging modality which infers optical properties of matter using the reflectance of different spatially modulated light patterns projected onto that tissue. These properties can indicate various medically and biologically relevant data, such as blood flow, tissue oxygenation and tissue composition. An integral step in recovering these properties is modeling the transport of light in a turbid medium using the Radiative Transport Equation (RTE). The current “gold standard” is the monte carlo model, though both stochastic and deterministic models have been used. Here I present the theory behind a new deteministic method for solving the RTE for both homogeneous and layered tissue which should provide both smaller numerical error and faster computation than the current best deterministic method, with more flexibility in changing parameters than any known monte carlo method.