DocumentCode :
2621030
Title :
Algebraic reconstruction technique in image reconstruction with narrow fan-beam
Author :
Qu, Zhong ; Wen, Junhao ; Yang, Dan ; Wu, Yu
Author_Institution :
Coll. of Comput. Sci., Chongqing Univ., China
Volume :
2
fYear :
2005
fDate :
25-27 July 2005
Firstpage :
622
Abstract :
In order to improve the quality of reconstruction image, the authors propose a new algebraic reconstruction technique. The new method ameliorates the process of the old iterative method and adds a new iterative parameter: A, which can improve the quality of reconstruction image by changing the iterative process and adjusting convergence factor. The efficiency of algebraic reconstruction technique is evaluated in contrast to that of its traditional serial counterpart. Experiment results clearly demonstrate that algebraic reconstruction technique can efficiently improve quality of reconstruction images when processing the incomplete projection data or noisy projection data.
Keywords :
algebra; image reconstruction; iterative methods; algebraic reconstruction; convergence factor; image reconstruction; iterative method; iterative parameter; narrow fan-beam; Computed tomography; Computer science; Convergence; Detectors; Digital images; Image reconstruction; Iterative methods; Object detection; Pixel; Testing; algebraic reconstruction technique; fan-beam scan mode; image reconstruction; projection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Granular Computing, 2005 IEEE International Conference on
Print_ISBN :
0-7803-9017-2
Type :
conf
DOI :
10.1109/GRC.2005.1547366
Filename :
1547366
Link To Document :
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