Fast maximum entropy approximation in SPECT using the RBI-MAP algorithm

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

Abstract

A method is presented for approximating constrained maximum entropy (ME) reconstructions of SPECT data with modifications to a block-iterative MAP algorithm. It is shown that the RBI-MAP algorithm, if used with a dynamic scheme for estimating β, can approximate constrained ME solutions in twenty or fewer iterations. Finally, results for various methods of achieving feasible images on a simulation of T1-201 cardiac SPECT data are compared.

Original languageEnglish (US)
Title of host publicationIEEE Nuclear Science Symposium and Medical Imaging Conference
PublisherIEEE
Pages1157-1164
Number of pages8
ISBN (Print)0780350227
StatePublished - Jan 1 1999
Externally publishedYes
EventProceedings of the 1998 IEEE Nuclear Science Symposium Conference Record - Toronto, Que, Can
Duration: Nov 8 1998Nov 14 1998

Publication series

NameIEEE Nuclear Science Symposium and Medical Imaging Conference
Volume2

Other

OtherProceedings of the 1998 IEEE Nuclear Science Symposium Conference Record
CityToronto, Que, Can
Period11/8/9811/14/98

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ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Industrial and Manufacturing Engineering

Cite this

Lalush, D. S., Frey, E. C., & Tsui, B. M. W. (1999). Fast maximum entropy approximation in SPECT using the RBI-MAP algorithm. In IEEE Nuclear Science Symposium and Medical Imaging Conference (pp. 1157-1164). (IEEE Nuclear Science Symposium and Medical Imaging Conference; Vol. 2). IEEE.