Phantom study of the quantitative behavior of Bayesian PET reconstruction methods

Erkan U. Mumcuoglu, Richard M. Leahy, Zhenyu Zhou, Simon R Cherry

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

We examine the behavior of a Bayesian protocol for reconstruction of PET images in terms of the quantitative accuracy of the resulting Region-of-Interest (ROI) statistics. Our protocol uses a rapidly converging algorithm to compute a MAP estimate of the 3D PET image and includes novel methods for accurate attenuation and scatter modeling. The image is modeled using a Gibbs prior whose hyperparameters are estimated simultaneously with the PET image so that no critical user specified parameters are required. We computed ROI statistics over reconstructions of multiple frames of a computer generated brain phantom and an experimental chest phantom scanned using a Siemens/CTI ECAT931 scanner. Results indicate significant improvements in both bias and variance when compared to a standard filtered backprojection (FBP) based protocol.

Original languageEnglish (US)
Title of host publicationIEEE Nuclear Science Symposium & Medical Imaging Conference
Place of PublicationPiscataway, NJ, United States
PublisherIEEE
Pages1703-1707
Number of pages5
Volume3
StatePublished - 1995
EventProceedings of the 1995 IEEE Nuclear Science Symposium and Medical Imaging Conference. Part 1 (of 3) - San Francisco, CA, USA
Duration: Oct 21 1995Oct 28 1995

Other

OtherProceedings of the 1995 IEEE Nuclear Science Symposium and Medical Imaging Conference. Part 1 (of 3)
CitySan Francisco, CA, USA
Period10/21/9510/28/95

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Mumcuoglu, E. U., Leahy, R. M., Zhou, Z., & Cherry, S. R. (1995). Phantom study of the quantitative behavior of Bayesian PET reconstruction methods. In IEEE Nuclear Science Symposium & Medical Imaging Conference (Vol. 3, pp. 1703-1707). IEEE.