We constructed a movable imaging spectrograph-based system and a contact probe consisting of fibers with several source-to-detection separations (SDS) to measure spatially-resolved diffuse reflectance spectra from superficial tissue. The goal is to estimate optical properties of the mucosa in the oral cavity and investigate correlations between the estimated properties and precancerous changes in the mucosa. A previously developed GPU-based iterative curve-fitting inverse Monte Carlo model was used to extract optical properties from measured spectra. We validated the system with two-layer tissue phantoms, took in-vivo measurements on the buccal mucosa of three normal volunteers, and extracted optical parameters.
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