Sparsity promoting reconstructions via hierarchical prior models in diffuse optical tomography

Anssi Manninen, Meghdoot Mozumder, Tanja Tarvainen +1

Diffuse optical tomography (DOT) is a severely ill-posed nonlinear inverse problem that seeks to estimate optical parameters from boundary measurements. In the Bayesian framework,…