articleTop 1% cited

Bayesian reconstructions from emission tomography data using a modified EM algorithm

IEEE Transactions on Medical Imaging · 1990 · Vol. 9(1) · pp. 84–93

P.J. Green✉(University of Bristol)

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.

Medical Imaging Techniques and Applications Advanced X-ray and CT Imaging Electrical and Bioimpedance TomographyExpectation–maximization algorithmTomographySmoothnessAlgorithmBayesian probabilityIterative reconstructionMaximum likelihoodComputer scienceEmission computed tomographySingle-photon emission computed tomography

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