Paper
19 March 2014 Rotating and semi-stationary multi-beamline architecture study for cardiac CT imaging
Author Affiliations +
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.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jiao Wang, Paul Fitzgerald, Hewei Gao, Yannan Jin, Ge Wang, and Bruno De Man "Rotating and semi-stationary multi-beamline architecture study for cardiac CT imaging", Proc. SPIE 9033, Medical Imaging 2014: Physics of Medical Imaging, 90335Q (19 March 2014); https://doi.org/10.1117/12.2043680
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Sensors

Radon

Temporal resolution

Computed tomography

Data acquisition

Imaging systems

Reconstruction algorithms

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