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Proceedings Paper

Frequency domain simultaneous algebraic reconstruction techniques: algorithm and convergence
Author(s): Jiong Wang; Yibin Zheng
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Paper Abstract

We propose an algebraic reconstruction technique (ART) in the frequency domain for linear imaging problems. This algorithm has the advantage of efficiently incorporating pixel correlations in an a priori image model. First it is shown that the generalized ART algorithm converges to the minimum weighted norm solution, where the weights represent a priori knowledge of the image. Then an implementation in the frequency domain is described. The performance of the new algorithm is demonstrated with a fan beam computed tomography (CT) example. Compared to the traditional ART, the new algorithm offers superior image quality, fast convergence, and moderate complexity.

Paper Details

Date Published: 11 March 2005
PDF: 10 pages
Proc. SPIE 5674, Computational Imaging III, (11 March 2005); doi: 10.1117/12.597352
Show Author Affiliations
Jiong Wang, Univ. of Virginia (United States)
Yibin Zheng, Univ. of Virginia (United States)

Published in SPIE Proceedings Vol. 5674:
Computational Imaging III
Charles A. Bouman; Eric L. Miller, Editor(s)

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