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Diffuse optical tomography with time-gated perturbation Monte Carlo method

Diffuse optical tomography using perturbation Monte Carlo method can overcome the drawback inherent to the classical model based on the diffusion equation for pre-clinical applications. The combined use of information from different time gates enables image reconstruction with accurate quantification and reducing the crosstalk between the absorption and the scattering coefficients. In this work, we apply this approach to solve an inverse problem of a 3D mouse model, and investigate the benefit to incorporate the time-resolved data into the optical reconstruction for quantitative functional imaging.