Deep Learning Cross-Phase Style Transfer for Motion Artifact Correction in Coronary Computed Tomography Angiography

Motion artifacts may occur in coronary computed tomography angiography (CCTA) due to the heartbeat and impede the clinician's diagnosis of coronary arterial diseases. Thus, motion artifact correction of the coronary artery is required to quantify the risk of disease more accurately. We present...

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書誌詳細

出版年:	IEEE Access
主要な著者:	Sunghee Jung, Soochahn Lee, Byunghwan Jeon, Yeonggul Jang, Hyuk-Jae Chang
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2020-01-01
主題:	Computed tomography deep learning image restoration motion correction and analysis coronary angiography
オンライン･アクセス:	https://ieeexplore.ieee.org/document/9082676/