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

DOI: 10.1098/rsta.2014.0389 DOI Help
PMID: 25939621 PMID Help

Authors: Daniil Kazantsev (University of Manchester) , G. Van Eyndhoven (University of Manchester) , W. R. B. Lionheart (University of Manchester) , Philip Withers (University of Manchester) , Katherine Dobson (Ludwig-Maximilians-Universit√§t M√ľnchen) , Samuel Mcdonald (University of Manchester) , Robert Atwood (Diamond Light Source) , P. D. Lee (University of Manchester)
Co-authored by industrial partner: No

Type: Journal Paper
Journal: Philosophical Transactions Of The Royal Society A: Mathematical, Physical And Engineering Sciences , VOL 373 , PAGES 20140389 - 20140389

State: Published (Approved)
Published: May 2015
Diamond Proposal Number(s): 10500

Open Access Open Access

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.

Subject Areas: Technique Development, Earth Science, Materials


Instruments: I12-JEEP: Joint Engineering, Environmental and Processing

Other Facilities: Neutron Imaging used at PSI ICON