High-angular resolution diffusion imaging generation using 3d u-net.

Journal: Neuroradiology
PMID:

Abstract

PURPOSE: To investigate the effects on tractography of artificial intelligence-based prediction of motion-probing gradients (MPGs) in diffusion-weighted imaging (DWI).

Authors

  • Yuichi Suzuki
  • Tsuyoshi Ueyama
    Radiology Center, The University of Tokyo Hospital, Tokyo, Japan.
  • Kentarou Sakata
    Radiology Center, The University of Tokyo Hospital, Tokyo, Japan.
  • Akihiro Kasahara
    Radiology Center, The University of Tokyo Hospital, Tokyo, Japan.
  • Hideyuki Iwanaga
    Radiology Center, The University of Tokyo Hospital, Tokyo, Japan.
  • Koichiro Yasaka
    From the Department of Radiology, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan 113-8655.
  • Osamu Abe
    From the Department of Radiology, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan 113-8655.