医学
工件(错误)
冠状动脉疾病
运动(物理)
心脏病学
冠状动脉造影
放射科
内科学
计算机视觉
人工智能
心肌梗塞
计算机科学
作者
Jonathan A. Aun,John L. Schuzer,S. Rollision,K. Bronson,Qing Tang,Chunlei Liu,Jian Zhou,Steven E. Ross,Lei Cai,Zhou Yu,M. Chen
标识
DOI:10.1016/j.jcct.2023.05.195
摘要
Introduction: Coronary CT angiography (CCTA) is useful for the detection and exclusion of obstructive coronary artery disease; however, its utility can be degraded by motion artifacts. A next generation of adaptive motion correction has been developed that tracks motion of all three major coronary vessels in three-dimensions. The purpose of this study is to quantitatively assess the diagnostic utility of a new coronary motion correction algorithm applied to n=50 consecutive CCTA exams with motion artifact.
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