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

Kazantsev, D. and Van Eyndhoven, G. and Lionheart, W. R.B. and Withers, P. J. and Dobson, K. J. and McDonald, S. A. and Atwood, R. and Lee, P. D. (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). 20140389. ISSN 1471-2962 (https://doi.org/10.1098/rsta.2014.0389)

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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 highresolution 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

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