Publication
Title
Employing temporal self-similarity across the entire time domain in computed tomography reconstruction
Author
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.
Language
English
Source (journal)
Philosophical transactions of the Royal Society: A : mathematical, physical and engineering sciences. - London
Publication
London : 2015
ISSN
1364-503X
Volume/pages
373:2043(2015), p. 1-14, 14 p.
Article Reference
20140389
ISI
000357342600003
Medium
E-only publicatie
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
[E?say:metaLocaldata.cgzprojectinf]
NMI3-II: Neutron Scattering and Muon Spectroscopy Integrated Initiative
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 03.09.2015
Last edited 07.09.2017
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