Clinical feasibility of deep learning-accelerated single-shot turbo spin echo sequence with enhanced denoising for pancreas MRI at 3 Tesla.

Journal: European journal of radiology
PMID:

Abstract

PURPOSE: To assess the feasibility of the single-shot turbo spin echo sequence using deep learning-based reconstruction (DLR) (HASTE) with enhanced denoising for pancreas MRI.

Authors

  • Jeong Woo Kim
    Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea. Electronic address: pridebio@naver.com.
  • Bit Na Park
    Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea. Electronic address: parkbitna12@gmail.com.
  • Dominik Nickel
    MR Applications Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.
  • Mun Young Paek
    Siemens Healthineers Ltd., Seoul, South Korea. Electronic address: munyoung.paek@siemens-healthineers.com.
  • Chang Hee Lee
    From the Departments of Radiology of Seoul National University Hospital, Seoul, South Korea (D.H.L., J.M.L.); Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, South Korea (D.H.L., J.M.L.); Korea University Guro Hospital, Korea University Medicine, Seoul, South Korea (C.H.L.); and Tübingen University Hospital, Tübingen, Germany (S.A., A.O.).