Improved stent sharpness evaluation with super-resolution deep learning reconstruction in coronary CT angiography.

Abstract

Authors

• Jae-Kyun Ryu
  Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea.
• Ki Hwan Kim
  Department of Radiology, Seoul National College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea (H.C., S.H.Y., S.J.P., C.M.P., J.H.L., H. Kim, E.J.H., S.J.Y., J.G.N., C.H.L., J.M.G.); CHESS Center, The First Hospital of Lanzhou University, Lanzhou, China (Q.X., J.L.); Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (K.H.L.); Department of Internal Medicine, Incheon Medical Center, Incheon, Korea (J.Y.K.); Department of Radiology, Seoul Medical Center, Seoul, Korea (Y.K.L.); Department of Radiology, National Medical Center, Seoul, Korea (H. Ko); Department of Radiology, Myongji Hospital, Gyeonggi-do, Korea (K.H.K.); and Department of Radiology, Chonnam National University Hospital, Gwanju, Korea (Y.H.K.).
• Chuluunbaatar Otgonbaatar
  Department of Radiology, College of Medicine, Seoul National University, 03080 Seoul, Republic of Korea.
• Da Som Kim
  Department of Radiology and Institute of Radiation Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea.
• Hackjoon Shim
  Connect AI Research Center, Yonsei University College of Medicine, 03772 Seoul, Republic of Korea.
• Jung Wook Seo
  Department of Radiology, Inje University Ilsan Paik Hospital, 10380 Goyang, Republic of Korea.

Keywords

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