Improvement of image quality of diffusion-weighted imaging (DWI) with deep learning reconstruction of the pancreas: comparison with respiratory-gated conventional DWI.

Journal: Japanese journal of radiology
Published Date: Apr 26, 2025

Abstract

PURPOSE: This study aimed to evaluate the efficacy of deep learning-based reconstruction (DLR) in improving pancreatic diffusion-weighted imaging (DWI) quality.

Authors

  • Kazuki Oyama
    Department of Radiology, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Nagano, 390-8621, Japan.
  • Fumihito Ichinohe
    Department of Radiology, Shinshu University School of Medicine, Matsumoto, Japan.
  • Yasuo Adachi
    Radiology Division, Shinshu University Hospital, Matsumoto.
  • Yoshihiro Kito
    Radiology Division, Shinshu University Hospital, 3-1-1 Asahi, Matsumoto, Nagano, 390-8621, Japan.
  • Katsuya Maruyama
    MR Research and Collaboration Department, Siemens Healthcare K.K., Tokyo, Japan.
  • Minoru Mitsuda
    Magnetic Resonance Department, Siemens Healthcare K.K, Tokyo, Japan.
  • Thomas Benkert
    Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacher Strasse 6, 97080 Würzburg, Germany (J.F.H., S.V., C.M., L.M.P., T.A.B., H.K., A.M.W.); and Department of Application Development, Siemens Healthcare, Erlangen, Germany (T.B., J.P.).
  • Omar Darwish
  • Yasunari Fujinaga
    Department of Radiology, Shinshu University School of Medicine, Matsumoto, Japan.

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