A study of four minimization approaches for iterative reconstruction in X-ray CT

Author

De Man, Bruno ; Basu, Samit ; Thibault, Jean-Baptiste ; Hsieh, Jiang ; Fessier, Jeffrey A. ; Bouman, Charles ; Sauer, Ken

Author_Institution

GE Global Res., Niskayuna, NY

Volume

5

fYear

2005

fDate

23-29 Oct. 2005

Firstpage

2708

Lastpage

2710

Abstract

This paper compares four different minimization approaches for iterative reconstruction in CT:(1) iterative coordinate descent approach (ICD), (2) conjugate gradient approach (CG), (3) separable parabolic surrogate approach with ordered subsets (OS), and (4) convergent ordered subsets approach (COS). In addition to showing that all approaches result in the same final image, the paper gives an indication of the number of iterations and time to convergence for the studied approaches

Keywords

computerised tomography; conjugate gradient methods; image reconstruction; medical image processing; minimisation; X-ray CT; conjugate gradient approach; convergent ordered subsets approach; iterations; iterative coordinate descent approach; iterative reconstruction; minimization; ordered subsets; separable parabolic surrogate approach; Character generation; Computed tomography; Cost function; Image converters; Image reconstruction; Iterative methods; Measurement standards; Minimization methods; Noise measurement; Pixel;

fLanguage

English

Publisher

ieee

Conference_Titel

Nuclear Science Symposium Conference Record, 2005 IEEE

Conference_Location

Fajardo

ISSN

1095-7863

Print_ISBN

0-7803-9221-3

Type

conf

DOI

10.1109/NSSMIC.2005.1596895

Filename

1596895