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Proceedings Paper

Accurate image reconstruction in CT from projection data taken at few-views
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Paper Abstract

Image reconstruction from few-view CT is of interest because of the potential to reduce scanning time and radiation dose. The challenge of few-view CT for image reconstruction is essentially a problem of interpolation from under-sampled data. Recently, a new algorithm for inverting the Fourier transform from under-sampled data has been developed by Candes et al. IEEE Trans. Inf. Theory , 52 489 (2006). This algorithm can be directly applied to image reconstruction in 2D parallel-beam CT because of the central slice theorem. This article presents a discussion of the new algorithm, showing examples for different degrees of under-sampling.

Paper Details

Date Published: 2 March 2006
PDF: 7 pages
Proc. SPIE 6142, Medical Imaging 2006: Physics of Medical Imaging, 614229 (2 March 2006); doi: 10.1117/12.654299
Show Author Affiliations
Emil Y. Sidky, The Univ. of Chicago (United States)
Chien-Min Kao, The Univ. of Chicago (United States)
Xiaochuan Pan, The Univ. of Chicago (United States)

Published in SPIE Proceedings Vol. 6142:
Medical Imaging 2006: Physics of Medical Imaging
Michael J. Flynn; Jiang Hsieh, Editor(s)

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