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Proceedings Paper

Rotating and semi-stationary multi-beamline architecture study for cardiac CT imaging
Author(s): Jiao Wang; Paul Fitzgerald; Hewei Gao; Yannan Jin; Ge Wang; Bruno De Man
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Paper Abstract

Over the past decade, there has been abundant research on future cardiac CT architectures and corresponding reconstruction algorithms. Multiple cardiac CT concepts have been published, including third-generation single-source CT with wide-cone coverage, dual-source CT, and electron-beam CT, etc. In this paper, we apply a Radon space analysis method to two multi-beamline architectures: triple-source CT and semi-stationary ring-source CT. In our studies, we have considered more than thirty cardiac CT architectures and triple-source CT was identified as a promising solution, offering approximately a three-fold advantage in temporal resolution, which can significantly reduce motion artifacts due to the moving heart and lungs. In this work, we describe a triple-source CT architecture with all three beamlines (i.e. source-detector pairs) limited to the cardiac field of view in order to eliminate the radiation dose outside the cardiac region. We also demonstrate the capability of performing full field of view imaging when desired, by shifting the detectors. Ring-source dual-rotating-detector CT is another architecture of interest, which offers the opportunity to provide high temporal resolution using a full-ring stationary source. With this semi-stationary architecture, we found that the azimuthal blur effect can be greater than in a fully-rotating CT system. We therefore propose novel scanning modes to reduce the azimuthal blur in ring-source rotating detector CT. Radon space analysis method proves to be a useful method in CT system architecture study.

Paper Details

Date Published: 19 March 2014
PDF: 7 pages
Proc. SPIE 9033, Medical Imaging 2014: Physics of Medical Imaging, 90335Q (19 March 2014); doi: 10.1117/12.2043680
Show Author Affiliations
Jiao Wang, GE Global Research Ctr. (United States)
Paul Fitzgerald, GE Global Research Ctr. (United States)
Hewei Gao, GE Global Research Ctr. (United States)
Yannan Jin, GE Global Research Ctr. (United States)
Ge Wang, Rensselaer Polytechnic Institute (United States)
Bruno De Man, GE Global Research Ctr. (United States)


Published in SPIE Proceedings Vol. 9033:
Medical Imaging 2014: Physics of Medical Imaging
Bruce R. Whiting; Christoph Hoeschen, Editor(s)

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