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Proceedings Paper

Generalized algebraic reconstruction techniques
Author(s): Yibin Zheng; Heng Li
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Paper Abstract

We propose a family of new algorithms that can be viewed as a generalization of the Algebraic Reconstruction Techniques (ART). These algorithms can be tailored for trade-offs between convergence speed and memory requirement. They also can be made to include Gaussian a priori image models. A key advantage is that they can handle arbitrary data acquisition scheme. Approximations are required for practical sized image reconstruction. We discuss several approximations and demonstrate numerical simulation examples for computed tomography (CT) reconstructions.

Paper Details

Date Published: 23 December 2002
PDF: 7 pages
Proc. SPIE 4792, Image Reconstruction from Incomplete Data II, (23 December 2002); doi: 10.1117/12.450356
Show Author Affiliations
Yibin Zheng, Univ. of Virginia (United States)
Heng Li, Univ. of Virginia (United States)


Published in SPIE Proceedings Vol. 4792:
Image Reconstruction from Incomplete Data II
Philip J. Bones; Michael A. Fiddy; Rick P. Millane, Editor(s)

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