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Cited by 1,241

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Bayesian reconstructions from emission tomography data using a modified EM algorithm

Green, P.J.·1990·IEEE Transactions on Medical Imaging

Abstract

A novel method of reconstruction from single-photon emission computerized tomography data is proposed. This method builds on the expectation-maximization (EM) approach to maximum likelihood reconstruction from emission tomography data, but aims instead at maximum posterior probability estimation, which takes account of prior belief about smoothness in the isotope concentration. A novel modification to the EM algorithm yields a practical method. The method is illustrated by an application to data from brain scans.

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Metadata

Authors
Green, P. J.
Venue
IEEE Transactions on Medical Imaging
Published
1990-03
Volume
9
Issue
1
Pages
84-93
ISSN
0278-0062 (ISSN-L)
OpenAlex
W2168530812
Cited by
1,241
References
2
FWCI
18.84
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Bayesian reconstructions from emission tomography data using a modified EM algorithm. https://app.cochat.ai/papers/10.1109/42.52985
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Green, P. J. (1990). Bayesian reconstructions from emission tomography data using a modified EM algorithm. IEEE Transactions on Medical Imaging. https://doi.org/10.1109/42.52985

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.