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Super-resolution deep learning reconstruction to improve image quality of coronary CT angiography.

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第一作者： Nobuo,Tomizawa

第一单位： Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo 113-8421, Japan.

作者： Nobuo,Tomizawa ^[1] ; Yui,Nozaki ^[2] ; Hideyuki,Sato ^[1] ; Yuko,Kawaguchi ^[2] ; Ayako,Kudo ^[2] ; Daigo,Takahashi ^[2] ; Kazuhisa,Takamura ^[2] ; Makoto,Hiki ^[2] ; Shinichiro,Fujimoto ^[2] ; Iwao,Okai ^[2] ; Seiji,Koga ^[2] ; Shinya,Okazaki ^[2] ; Kanako K,Kumamaru ^[1] ; Tohru,Minamino ^[2] ; Shigeki,Aoki ^[1]

作者单位： Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo 113-8421, Japan. ^[1] Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo 113-8421, Japan. ^[2]

关键词 CT angiography coronary artery coronary stenosis image quality model-based iterative reconstruction super-resolution deep learning reconstruction

DOI 10.1093/radadv/umae001

PMID 41059143

发布时间 2025-10-10

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Super-resolution deep learning reconstruction to improve image quality of coronary CT angiography.

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