Bayesian Inference and Uncertainty Quantification for Medical Image Reconstruction with Poisson Data

DOI10.1137/19M1248352zbMath1437.92072arXiv1903.02075WikidataQ126396830 ScholiaQ126396830MaRDI QIDQ5109292

Qing-Ping Zhou, Tengchao Yu, Xiaoqun Zhang, Jinglai Li

Publication date: 11 May 2020

Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1903.02075

zbMATH Keywords

Markov chain Monte CarloPoisson distributionimage reconstructionBayesian inferencepositron emission tomographyuncertainty quantification

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Biomedical imaging and signal processing (92C55)

Related Items (4)

Stein Variational Gradient Descent on Infinite-Dimensional Space and Applications to Statistical Inverse Problems ⋮ Efficient Bayesian Computation for Low-Photon Imaging Problems ⋮ Optimization-Based Markov Chain Monte Carlo Methods for Nonlinear Hierarchical Statistical Inverse Problems ⋮ Proximal nested sampling for high-dimensional Bayesian model selection

Uses Software

• BayesDA

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