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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Abstract

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 http://www.ucair.med.utah.edu/CTmeeting/ProceedingsCTMeeting2014.pdf.
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
URI:	https://eprints.maths.manchester.ac.uk/id/eprint/2295

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