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Center for Nonlinear Studies |
Muon tomography is a novel technology that is being developed for detecting high-Z materials in vehicles or cargo containers. We have developed Bayesian image reconstruction method for muon tomography to improve the detection performance by introducing prior distributions on the scattering density images. In this talk I will describe the image reconstruction algorithm and present Monte Carlo simulation results. Examples of Bayesian image reconstruction in other imaging modalities will also be covered briefly.
Host: Konstantin Borozdin