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

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

Research output: Contribution to journalArticle

12 Citations (Scopus)
2 Downloads (Pure)

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

Original languageEnglish
Article number20140389
JournalPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Volume373
Issue number2043
DOIs
Publication statusPublished - 13 Jun 2015

Keywords

  • iterative reconstruction
  • non-local means
  • spatial-temporal regularization
  • structural prior
  • time lapse tomography

Fingerprint Dive into the research topics of 'Employing temporal self-similarity across the entire time domain in computed tomography reconstruction'. Together they form a unique fingerprint.

Cite this