Scale hyperparameter estimation for GGMRF prior models with application to SPECT images

Antonio Lopez, Rafael Molina, Aggelos K. Katsaggelos

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

3 Scopus citations

Abstract

In this work we develop a Bayesian reconstruction method for SPECT (single photon emission computed tomography) images, using as prior GGMRF (generalized Gaussian Markov random fields) distributions and estimating the scale hyperparameter following the evidence analysis. Preconditioning methods are used to estimate this hyperparameter and the approximations used are compared on synthetic images.
Original languageEnglish
Title of host publicationProceedings of 2002 14th International Conference on Digital Signal Processing
DOIs
StatePublished - 2002
EventProceedings of 2002 14th International Conference on Digital Signal Processing - Santorini, Greece
Duration: Jul 1 2002 → …

Conference

ConferenceProceedings of 2002 14th International Conference on Digital Signal Processing
Period7/1/02 → …

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