Efficient reconstruction of 3D images from photon starved integral imaging using PMLEM

Reconstruction of three dimensional (3D) images from photon counting integral images was recently demonstrated by applying several methods including: maximum likelihood estimation, Bayesian estimation, and statistical estimation involving truncated Poisson statistics. Here we present simulation results for a new estimation approach implementing Penalized Maximum Likelihood Expectation Maximization (PMLEM) that better incorporates prior information in the reconstruction process.

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