Corrections for accidental coincidences and attenuation in maximum-likelihood image reconstruction for positron-emission tomography

Reconstruction procedures that account for attenuation in forming maximum-likelihood estimates of activity distributions in positron-emission tomography are extended to include regularization constraints and accidental coincidences. A mathematical model is used for these effects. The corrections are...

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Bibliographic Details
Published in:IEEE transactions on medical imaging 1991-03, Vol.10 (1), p.82-89
Main Authors: Politte, D.G., Snyder, D.L.
Format: Article
Language:English
Subjects:
Attenuation
Biological and medical sciences
Degradation
Expectation-maximization algorithms
Image recognition
Image reconstruction
Investigative techniques, diagnostic techniques (general aspects)
Maximum likelihood detection
Maximum likelihood estimation
Medical sciences
Optical attenuators
Photonic crystals
Tomography
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Summary:Reconstruction procedures that account for attenuation in forming maximum-likelihood estimates of activity distributions in positron-emission tomography are extended to include regularization constraints and accidental coincidences. A mathematical model is used for these effects. The corrections are incorporated into the iterations of an expectation-maximization algorithm for numerically producing the maximum-likelihood estimate of the distribution of radioactivity within a patient. The images reconstructed with this procedure are unbiased and exhibit lower variance than those reconstructed from precorrected data.< >
ISSN:0278-0062
1558-254X
DOI:10.1109/42.75614