Improved Bayesian approach

Xiaochuan Pan; Chin-Tu Chen; Chien-Min Kao; Wing H. Wong

doi:10.1117/12.216885

18 August 1995 Improved Bayesian approach

Xiaochuan Pan, Chin-Tu Chen, Chien-Min Kao, Wing H. Wong

Proceedings Volume 2622, Optical Engineering Midwest '95; (1995) https://doi.org/10.1117/12.216885
Event: Optical Engineering Midwest '95, 1995, Chicago, IL, United States

Abstract

The Bayesian approach that employs the concepts of cliques and line sites in its Gibbs prior provides the potential of realistic and objective characterization of boundaries between different regions exhibiting intensity variations in the reconstructed images. In this work, we develop an improved Bayesian approach for accurate detection of boundaries by introducing symmetric cliques and new types of line sites as well as a new calculation scheme. This improved Bayesian approach has been applied to positron emission tomography data from both computer simulations and patient studies. The results demonstrate that the new cliques, line sites, and calculation scheme can enhance the boundary detectability of the Bayesian approach and yield realistic boundaries and hence improved reconstructed images.

Citation Download Citation

Xiaochuan Pan, Chin-Tu Chen, Chien-Min Kao, and Wing H. Wong "Improved Bayesian approach", Proc. SPIE 2622, Optical Engineering Midwest '95, (18 August 1995); https://doi.org/10.1117/12.216885

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