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Proceedings Paper

Regularization methods for inverse problems in x-ray tomography
Author(s): Valeriy Titarenko; Robert Bradley; Christopher Martin; Philip J. Withers; Sofya Titarenko
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Paper Abstract

Scintillators, optical systems and CCD cameras used to record projections also blur them. Therefore the recorded projections are smooth functions of spatial variables. This can be used to construct special methods to suppress ring artefacts. Several such algorithms based on ideas of the theory of inverse and ill-posed problems and using various forms of Tikhonov functional are proposed: a fast ring artefact suppression algorithm in a case of homogeneous specimens and its modified versions for anisotropically attenuated samples.

Paper Details

Date Published: 1 September 2010
PDF: 10 pages
Proc. SPIE 7804, Developments in X-Ray Tomography VII, 78040Z (1 September 2010); doi: 10.1117/12.860260
Show Author Affiliations
Valeriy Titarenko, The Univ. of Manchester (United Kingdom)
Robert Bradley, The Univ. of Manchester (United Kingdom)
Christopher Martin, The Univ. of Manchester (United Kingdom)
Philip J. Withers, The Univ. of Manchester (United Kingdom)
Sofya Titarenko, Lomonosov Moscow State Univ. (Russian Federation)

Published in SPIE Proceedings Vol. 7804:
Developments in X-Ray Tomography VII
Stuart R. Stock, Editor(s)

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