Impact of Deep Learning Reconstruction Combined With a Sharpening Filter on Single-Shot Fast Spin-Echo T2-Weighted Magnetic Resonance Imaging of the Uterus.

Journal: Investigative radiology
Published Date:

Abstract

OBJECTIVE: This study aimed to evaluate the effects of deep learning (DL) reconstruction and a postprocessing sharpening filter on the image quality of single-shot fast spin-echo (SSFSE) T2-weighted imaging (T2WI) of the uterus.

Authors

  • Takahiro Tsuboyama
    From the Department of Radiology, Osaka University Graduate School of Medicine.
  • Hiromitsu Onishi
    From the Department of Radiology, Osaka University Graduate School of Medicine.
  • Atsushi Nakamoto
    From the Department of Radiology, Osaka University Graduate School of Medicine.
  • Kazuya Ogawa
  • Yoshihiro Koyama
    Department of Radiology, Osaka University Hospital, Osaka, Japan.
  • Hiroyuki Tarewaki
    Department of Radiology, Osaka University Hospital, Osaka, Japan.
  • Noriyuki Tomiyama
    Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.