Regularised GMRES-type Methods for X-Ray Computed Tomography

Coban, S.B. and Lionheart, W.R.B. (2014) Regularised GMRES-type Methods for X-Ray Computed Tomography. In: The Third International Conference on Image Formation in X-Ray Computed Tomography, 22-25 June 2014, Salt Lake City, Utah, USA.

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Slowly converging iterative methods such as Landweber or ART, have long been preferred for reconstructing a tomographic image from a set of CT data. In the recent years, a fast-converging method named CGLS has received attention for reconstructing tomographic data. However, there is a large class of methods that give more reliable solutions, when compared to CGLS. In this paper, we are going to consider the merits of the GMRES-type methods when applied to the CT problem, introduce various strategies, and compare the results with CGLS.

Item Type: Conference or Workshop Item (Poster)
Additional Information: A soft copy of the conference proceedings can be obtained via
Uncontrolled Keywords: X-ray Computed Tomography, Reconstruction Algorithms, Comparison of Algorithms
Subjects: MSC 2010, the AMS's Mathematics Subject Classification > 65 Numerical analysis
MSC 2010, the AMS's Mathematics Subject Classification > 68 Computer science
PACS 2010, the AIP's Physics and Astronomy Classification Scheme > 40 ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID MECHANICS > 41 Electromagnetism; electron and ion optics
Depositing User: Miss Sophia Bethany Coban
Date Deposited: 19 May 2015
Last Modified: 20 Oct 2017 14:13

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