Accelerated intracranial time-of-flight MR angiography with image-based deep learning image enhancement reduces scan times and improves image quality at 3-T and 1.5-T.

Journal: Neuroradiology
Published Date: May 1, 2025

Abstract

PURPOSE: Three-dimensional time-of-flight magnetic resonance angiography (TOF-MRA) is effective for cerebrovascular disease assessment, but clinical application is limited by long scan times and low spatial resolution. Recent advances in deep learning-based reconstruction have shown the potential to improve image quality and reduce scan times. This study aimed to evaluate the effectiveness of accelerated intracranial TOF-MRA using deep learning-based image enhancement (TOF-DL) compared to conventional TOF-MRA (TOF-Con) at both 3-T and 1.5-T.

Authors

  • Young Hun Jeon
    Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
  • Chanrim Park
    Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.
  • Kyung Hoon Lee
    Department of Chemistry, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.
  • Kyu Sung Choi
    Graduate School of Medical Science and Engineering, Korea Advanced Institute for Science and Technology (KAIST), Daejeon, Republic of Korea.
  • Ji Ye Lee
    Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.
  • Inpyeong Hwang
    Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.
  • Roh-Eul Yoo
    Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.
  • Tae Jin Yun
    Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.
  • Seung Hong Choi
    From the Graduate School of Medical Science and Engineering (K.H.K., S.H.P.) and Department of Bio and Brain Engineering (S.H.P.), Korea Advanced Institute of Science and Technology, Room 1002, CMS (E16) Building, 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea; Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea (S.H.C.); Department of Radiology, Seoul National University College of Medicine, and Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea (S.H.C.); and Center for Nanoparticle Research, Institute for Basic Science, Seoul, Republic of Korea (S.H.C.).
  • Ji-Hoon Kim
  • Chul-Ho Sohn
    Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea; Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea.
  • Koung Mi Kang
    Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.

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