Object-dependent performance comparison of two iterative reconstruction algorithms

Author

Stamos, J.A. ; Rogers, W.L. ; Clinthorne, N.H. ; Koral, K.F.

Author_Institution

Dept. of Nucl. Eng., Michigan Univ., Ann Arbor, MI, USA

Volume

35

Issue

1

fYear

1988

fDate

2/1/1988 12:00:00 AM

Firstpage

611

Lastpage

614

Abstract

Iterative algorithms are of interest for both positron-emission tomography (PET) and single-photon-emission computed tomography (SPECT) because they permit accurate modeling of the imaging system, and they can be derived to satisfy certain statistical performance criteria. The convergence process, however, is influenced by the object distribution and noise level, so that different algorithms demonstrate a wide range of convergence phenomena. This object dependence is described for two widely accepted image-reconstruction algorithms; ART and maximum-likelihood estimation.

Keywords

computerised tomography; radioisotope scanning and imaging; ART; PET; SPECT; accurate modeling; convergence process; imaging system; iterative reconstruction algorithms; maximum-likelihood estimation; noise level; object distribution; performance comparison; positron-emission tomography; single-photon-emission computed tomography; statistical performance criteria; Convergence; Detectors; Gaussian noise; Image reconstruction; Iterative algorithms; Maximum likelihood detection; Maximum likelihood estimation; Pixel; Reconstruction algorithms; Subspace constraints;

fLanguage

English

Journal_Title

Nuclear Science, IEEE Transactions on

Publisher

ieee

ISSN

0018-9499

Type

jour

DOI

10.1109/23.12797

Filename

12797