9 March 2017 Image quality improvement in MDCT cardiac imaging via SMART-RECON method
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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.
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Yinsheng Li, Ximiao Cao, Zhanfeng Xing, Xuguang Sun, Jiang Hsieh, Guang-Hong Chen, "Image quality improvement in MDCT cardiac imaging via SMART-RECON method", Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 101322Z (9 March 2017); doi: 10.1117/12.2254644; https://doi.org/10.1117/12.2254644
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