Integrating anatomical priors in ECT reconstruction via joint mixtures and mutual information

A. Rangarajan*, I. T. Hsiao, G. Gindi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

We present a joint mixture model for integrating anatomical information in ECT reconstruction. The mixture model acts as a Bayesian prior with the added benefit of the anatomical segmentation pixel-region labels guiding the reconstruction process. An additional hyper-prior on the mixture occupation probability is introduced. This has the novel interpretation of maximizing the mutual information between the anatomical image and the evolving ECT reconstruction. Results are presented on a phantom with the bias/variance tradeoff being the indicator of performance.

Original languageEnglish
Title of host publicationIEEE Nuclear Science Symposium and Medical Imaging Conference
PublisherIEEE
Pages1584-1588
Number of pages5
ISBN (Print)0780350227
StatePublished - 1999
Externally publishedYes
EventProceedings of the 1998 IEEE Nuclear Science Symposium Conference Record - Toronto, Que, Can
Duration: 08 11 199814 11 1998

Publication series

NameIEEE Nuclear Science Symposium and Medical Imaging Conference
Volume3

Conference

ConferenceProceedings of the 1998 IEEE Nuclear Science Symposium Conference Record
CityToronto, Que, Can
Period08/11/9814/11/98

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