Deep learning-accelerated T2-weighted imaging of the prostate: Impact of further acceleration with lower spatial resolution on image quality.

Journal: European journal of radiology
Published Date: Oct 30, 2021

Abstract

PURPOSE: To compare image quality in prostate MRI among standard T2-weighted imaging (T2-std), accelerated T2-weighted imaging (T2WI) with high resolution (T2-HR) and more accelerated T2WI with lower resolution (T2-LR) using both conventional reconstruction (C) and deep learning reconstruction (DL).

Authors

  • Eu Hyun Kim
    Department of Radiology, St.Vincent's Hospital, College of Medicine, The Catholic University of Korea, Republic of Korea.
  • Moon Hyung Choi
    Department of Radiology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
  • Young Joon Lee
    Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea; Department of Radiology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 1021 Seoul, Republic of Korea. Electronic address: yjleerad@catholic.ac.kr.
  • Dongyeob Han
    Siemens Healthineers Ltd., Seoul, Republic of Korea.
  • Mahmoud Mostapha
    Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States of America. Electronic address: mahmoudm@cs.unc.edu.
  • Dominik Nickel
    MR Applications Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.

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