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Ordered-subset simultaneous algebraic reconstruction techniques (OS-SART)

Ordered-subset simultaneous algebraic reconstruction techniques (OS-SART) In this paper, we first demonstrate that two ordered-subset simultaneous algebraic reconstruction techniques (OS-SART) can be heuristically derived from the perspective of data rectification. Then, we study the convergence in the framework of our recent work on the OS version of the Landweber scheme. The first OS-SART is the same as the BSSART formula, which is a special case of the OS version of the Landweber scheme. Hence, it converges in the weighted least square sense even in the case of inconsistent data. Both the OS-SART formulas are tested for reconstruction of CT images from practical data. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of X-Ray Science and Technology IOS Press

Ordered-subset simultaneous algebraic reconstruction techniques (OS-SART)

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Publisher
IOS Press
Copyright
Copyright © 2004 by IOS Press, Inc
ISSN
0895-3996
eISSN
1095-9114
Publisher site
See Article on Publisher Site

Abstract

In this paper, we first demonstrate that two ordered-subset simultaneous algebraic reconstruction techniques (OS-SART) can be heuristically derived from the perspective of data rectification. Then, we study the convergence in the framework of our recent work on the OS version of the Landweber scheme. The first OS-SART is the same as the BSSART formula, which is a special case of the OS version of the Landweber scheme. Hence, it converges in the weighted least square sense even in the case of inconsistent data. Both the OS-SART formulas are tested for reconstruction of CT images from practical data.

Journal

Journal of X-Ray Science and TechnologyIOS Press

Published: Jan 1, 2004

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