DocumentCode :
3297694
Title :
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
Link To Document :
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