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Proceedings Paper

Image quality improvement in MDCT cardiac imaging via SMART-RECON method
Author(s): Yinsheng Li; Ximiao Cao; Zhanfeng Xing; Xuguang Sun; Jiang Hsieh; Guang-Hong Chen
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Paper Abstract

Coronary CT angiography (CCTA) is a challenging imaging task currently limited by the achievable temporal resolution of modern Multi-Detector CT (MDCT) scanners. In this paper, the recently proposed SMARTRECON method has been applied in MDCT-based CCTA imaging to improve the image quality without any prior knowledge of cardiac motion. After the prospective ECG-gated data acquisition from a short-scan angular span, the acquired data were sorted into several sub-sectors of view angles; each corresponds to a 1/4th of the short-scan angular range. Information of the cardiac motion was thus encoded into the data in each view angle sub-sector. The SMART-RECON algorithm was then applied to jointly reconstruct several image volumes, each of which is temporally consistent with the data acquired in the corresponding view angle sub-sector. Extensive numerical simulations were performed to validate the proposed technique and investigate the performance dependence.

Paper Details

Date Published: 9 March 2017
PDF: 7 pages
Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 101322Z (9 March 2017); doi: 10.1117/12.2254644
Show Author Affiliations
Yinsheng Li, Univ. of Wisconsin-Madison (United States)
Ximiao Cao, GE Healthcare (United States)
Zhanfeng Xing, GE Healthcare (United States)
Xuguang Sun, GE Healthcare (United States)
Jiang Hsieh, GE Healthcare (United States)
Guang-Hong Chen, Univ. of Wisconsin-Madison (United States)


Published in SPIE Proceedings Vol. 10132:
Medical Imaging 2017: Physics of Medical Imaging
Thomas G. Flohr; Joseph Y. Lo; Taly Gilat Schmidt, Editor(s)

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