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