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- W2528447791 abstract "The stochastic origin ensembles (SOE) method has been implemented for the reconstruction of neutron and gamma-ray images from a dual-particle imager (DPI). SOE image reconstruction is an iterative stochastic process that creates images using Markov-chain Monte-Carlo sampling with event origins from the reconstructed backprojection cones. This method has been shown to produce image quality comparable to that of the widely implemented maximum-likelihood expectation-maximization (MLEM) algorithm. SOE can be advantageous because the method is simple to implement and thorough definition of spatial efficiency or resolution is not required. The SOE algorithm also reaches a steady-state solution after iterating, as opposed to MLEM solutions, which can degrade with over-iteration. This paper shows photon and neutron images images reconstructed using the SOE algorithm for an experiment with multiple neutron and gamma-ray sources." @default.
- W2528447791 created "2016-10-14" @default.
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- W2528447791 date "2015-10-01" @default.
- W2528447791 modified "2023-09-26" @default.
- W2528447791 title "Stochastic image reconstruction for non-proliferation applications" @default.
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- W2528447791 doi "https://doi.org/10.1109/nssmic.2015.7581835" @default.
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