
Proceedings Paper
Splitting-based statistical X-ray CT image reconstruction with blind gain correctionFormat | Member Price | Non-Member Price |
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Paper Abstract
Variational methods are useful for solving ill-posed inverse imaging problems by minimizing a cost function
with a data fidelity term and a regularization term. For statistical X-ray computed tomography (CT) image
reconstruction, penalized weighted least-squares (PWLS) criteria with edge-preserving regularization can improve
quality of the reconstructed image compared to traditional filtered back-projection (FBP) reconstruction.
Nevertheless, the huge dynamic range of the statistical weights used in PWLS image reconstruction leads to a
highly shift-variant local impulse response, making effective preconditioning difficult. To overcome this problem,
iterative algorithms based on variable splitting were proposed recently. However, existing splitting-based iterative
algorithms do not consider the (unknown) gain fluctuations that can occur between views. This paper
proposes a new variational formulation for splitting-based iterative algorithms where the unknown gain parameter
vector and the image are estimated jointly with just simple changes to the original algorithms. Simulations
show that the proposed algorithm greatly reduces the shading artifacts caused by gain fluctuations yet with
almost unchanged computational complexity per iteration.
Paper Details
Date Published: 6 March 2013
PDF: 7 pages
Proc. SPIE 8668, Medical Imaging 2013: Physics of Medical Imaging, 86681J (6 March 2013); doi: 10.1117/12.2007430
Published in SPIE Proceedings Vol. 8668:
Medical Imaging 2013: Physics of Medical Imaging
Robert M. Nishikawa; Bruce R. Whiting; Christoph Hoeschen, Editor(s)
PDF: 7 pages
Proc. SPIE 8668, Medical Imaging 2013: Physics of Medical Imaging, 86681J (6 March 2013); doi: 10.1117/12.2007430
Show Author Affiliations
Hung Nien, Univ. of Michigan (United States)
Jeffrey A. Fessler, Univ. of Michigan (United States)
Published in SPIE Proceedings Vol. 8668:
Medical Imaging 2013: Physics of Medical Imaging
Robert M. Nishikawa; Bruce R. Whiting; Christoph Hoeschen, Editor(s)
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