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Employing temporal self-similarity across the entire time domain in computed tomography reconstruction

Kazantsev, D.; Van Eyndhoven, G.; Lionheart, W.R.B.; Withers, P.J.; Dobson, K.J.; McDonald, S.A.; Atwood, R.; Lee, P.D.

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Authors

D. Kazantsev

G. Van Eyndhoven

W.R.B. Lionheart

P.J. Withers

K.J. Dobson

S.A. McDonald

R. Atwood

P.D. Lee



Abstract

There are many cases where one needs to limit the X-ray dose, or the number of projections, or both, for high frame rate (fast) imaging. Normally, it improves temporal resolution but reduces the spatial resolution of the reconstructed data. Fortunately, the redundancy of information in the temporal domain can be employed to improve spatial resolution. In this paper, we propose a novel regularizer for iterative reconstruction of time-lapse computed tomography. The non-local penalty term is driven by the available prior information and employs all available temporal data to improve the spatial resolution of each individual time frame. A high-resolution prior image from the same or a different imaging modality is used to enhance edges which remain stationary throughout the acquisition time while dynamic features tend to be regularized spatially. Effective computational performance together with robust improvement in spatial and temporal resolution makes the proposed method a competitive tool to state-of-the-art techniques.

Citation

Kazantsev, D., Van Eyndhoven, G., Lionheart, W., Withers, P., Dobson, K., McDonald, S., …Lee, P. (2015). Employing temporal self-similarity across the entire time domain in computed tomography reconstruction. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 373(2043), Article 20140389. https://doi.org/10.1098/rsta.2014.0389

Journal Article Type Article
Acceptance Date Jun 1, 2015
Online Publication Date May 4, 2015
Publication Date Jun 13, 2015
Deposit Date May 5, 2016
Publicly Available Date May 9, 2016
Journal Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences.
Print ISSN 1364-503X
Electronic ISSN 1471-2962
Publisher The Royal Society
Peer Reviewed Peer Reviewed
Volume 373
Issue 2043
Article Number 20140389
DOI https://doi.org/10.1098/rsta.2014.0389

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