Bayesian Activity Estimation and Uncertainty Quantification of Spent Nuclear Fuel Using Passive Gamma Emission Tomography

Bayesian Activity Estimation and Uncertainty Quantification of Spent Nuclear Fuel Using Passive Gamma Emission Tomography

In this paper, we address the problem of activity estimation in passive gamma emission tomography (PGET) of spent nuclear fuel. Two different noise models are considered and compared, namely, the isotropic Gaussian and the Poisson noise models. The problem is formulated within a Bayesian framework a...

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Bibliographic Details
Main Authors: Ahmed Karam Eldaly, Ming Fang, Angela Di Fulvio, Stephen McLaughlin, Mike E. Davies, Yoann Altmann, Yves Wiaux
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Journal of Imaging
Subjects:
inverse problems
imaging
Bayesian inference
uncertainty quantification
tomography
Markov chain Monte Carlo
Online Access:https://www.mdpi.com/2313-433X/7/10/212

Internet

https://www.mdpi.com/2313-433X/7/10/212

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