Image Quality Improvement of Low-dose Abdominal CT using Deep Learning Image Reconstruction Compared with the Second Generation Iterative Reconstruction.

Journal: Current medical imaging
Published Date: Jan 1, 2024

Abstract

BACKGROUND: Whether deep learning-based CT reconstruction could improve lesion conspicuity on abdominal CT when the radiation dose is reduced is controversial.

Authors

  • Hyo-Jin Kang
    Department of Radiology and the Institute of Radiation Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
  • Jeong Min Lee
  • Sae Jin Park
    From the Department of Radiology, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea (E.J.H., J.G.N., W.H.L., S.J.P., Y.S.J., J.H.K., E.K.H., T.M.K., J.M.G., C.M.P.); and Lunit, Seoul, Korea (S.P., K.H.K.).
  • Sang Min Lee
    Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Ijin Joo
    Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.
  • Jeong Hee Yoon

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