DocumentCode :
377340
Title :
Convergence of the simultaneous algebraic reconstruction technique (SART)
Author :
Jiang, Ming ; Wang, Ge
Author_Institution :
Dept. of Inf. Sci., Peking Univ., Beijing, China
Volume :
1
fYear :
2001
fDate :
4-7 Nov. 2001
Firstpage :
360
Abstract :
In 1984, the simultaneous algebraic reconstruction technique (SART) was developed as a major refinement of the algebraic construction technique (ART). Since then, the SART approach remains a powerful tool for iterative image reconstruction. However, the convergence of the SART has never been established. This long-standing conjecture is proven under the condition that coefficients of the linear imaging system are non-negative. It is shown that from any initial value the sequence generated by the SART converges to a weighted least square solution. The importance of the SART and several relevant issues are also discussed.
Keywords :
computerised tomography; convergence of numerical methods; image reconstruction; iterative methods; least squares approximations; medical image processing; CT fluoroscopic imaging; computed tomography; iterative image reconstruction; linear imaging system; linear inverse problems; radiological applications; simultaneous algebraic reconstruction technique; Cities and towns; Computed tomography; Convergence; Image converters; Image reconstruction; Information science; Iterative algorithms; Iterative methods; Radiology; Subspace constraints;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2001. Conference Record of the Thirty-Fifth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
ISSN :
1058-6393
Print_ISBN :
0-7803-7147-X
Type :
conf
DOI :
10.1109/ACSSC.2001.986951
Filename :
986951
Link To Document :
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