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

TitleEmploying temporal self-similarity across the entire time domain in computed tomography reconstruction
Publication TypeJournal Article
Year of Publication2015
AuthorsKazantsev, D., G. Van Eyndhoven, W. R. B. Lionheart, P. J. Withers, K. J. Dobson, S. A. McDonald, R. Atwood, and P. D. Lee
JournalPhilosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences
Volume373
ISBN Number1471-2962
ISSN1364-503X
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.

DOI10.1098/rsta.2014.0389
Research area: