Comparison between a deterministic and a Bayesian approach in image reconstruction

Author

Bouchet, F. ; Lecomte, J.F. ; Travere, J.M. ; Bloyet, D.

Author_Institution

CEA/DSV/DRM/GDM-TEP, Caen, France

Volume

2

fYear

1996

fDate

31 Oct-3 Nov 1996

Firstpage

720

Abstract

A comparison between two image reconstruction techniques is established. A Bayesian approach using a priori Markov fields was first implemented, and at the same time, a direct inversion resolution method was studied: the QR algorithm with a Tikhonov regularization. The aim of this paper is to compare abilities and limitations of both methods applied to emission tomography. The conclusion was that constraint introduction and flexibility lead to preference of the probabilistic approach

Keywords

Bayes methods; emission tomography; image reconstruction; medical image processing; Bayesian approach; Tikhonov regularization; a priori Markov fields; constraint introduction; deterministic approach; medical diagnostic imaging; nuclear medicine; probabilistic approach; Bayesian methods; Computed tomography; Engineering in Medicine and Biology Society; Equations; Image reconstruction; Imaging phantoms; Matrix decomposition; Singular value decomposition; Statistics; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE

Conference_Location

Amsterdam

Print_ISBN

0-7803-3811-1

Type

conf

DOI

10.1109/IEMBS.1996.651944

Filename

651944