Tractable models and efficient algorithms for Bayesian tomography

Author

Bouman, Charles A. ; Sauer, Icen ; Saquib, Suhail S.

Author_Institution

Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA

Volume

5

fYear

1995

fDate

9-12 May 1995

Firstpage

2907

Abstract

Bayesian methods have proven to be powerful tools for computed tomographic reconstruction in realistic physical problems. However, Bayesian methods require that a number of modeling and computational problems be addressed. The paper summarizes a coherent system of statistical modeling and optimization techniques designed to facilitate efficient, unsupervised Bayesian emission and transmission tomographic reconstruction. New results are included on improved convergence behavior of these methods

Keywords

Bayes methods; convergence of numerical methods; emission tomography; image reconstruction; medical image processing; optimisation; parameter estimation; statistical analysis; Bayesian tomography; computed tomographic reconstruction; convergence behavior; emission tomographic reconstruction; optimization techniques; statistical modeling; transmission tomographic reconstruction; Bayesian methods; Computational modeling; Density measurement; Image reconstruction; Markov random fields; Parameter estimation; Positron emission tomography; Power system modeling; Signal to noise ratio; Single photon emission computed tomography;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on

Conference_Location

Detroit, MI

ISSN

1520-6149

Print_ISBN

0-7803-2431-5

Type

conf

DOI

10.1109/ICASSP.1995.479453

Filename

479453