Abstract
In near-infrared spectroscopy, fiber optic probe is usually applied to incident light into the bio-sample and detect the spatial and temporal resolved optical signal re-emitted from the turbid medium. In this point-source-point-detector measurement system, seed Perturbation Monte Carlo (Pmc) method is an effective model to perform the forward simulation. In our study, the integration of parallel computing with graphics processing units(GPU) into the existing seed Pmc method substantially accelerate the speed of the original simulation. The GPU based seed Pmc provide an excellent solution for the application of fiber optic probe in both homogeneous a heterogeneous turbid medium.
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