Improved vascular depiction and image quality through deep learning reconstruction of CT hepatic arteriography during transcatheter arterial chemoembolization.

Journal: Japanese journal of radiology
PMID:

Abstract

PURPOSE: To evaluate the effect of deep learning reconstruction (DLR) on vascular depiction, tumor enhancement, and image quality of computed tomography hepatic arteriography (CTHA) images acquired during transcatheter arterial chemoembolization (TACE).

Authors

  • Yukichi Tanahashi
    Department of Radiology, Hamamatsu University School of Medicine, 1-20-1 Handayama, Chuo-ku, Hamamatsu City, Shizuoka, 431-3192, Japan. ytanahashi77@gmail.com.
  • Koh Kubota
    Department of Radiology, Hamamatsu University School of Medicine, 1-20-1 Handayama, Chuo-ku, Hamamatsu City, Shizuoka, 431-3192, Japan.
  • Takayuki Nomura
    Radiology Service, Hamamatsu University Hospital, Hamamatsu City, Shizuoka, Japan.
  • Takanobu Ikeda
    Department of Radiology, Hamamatsu University School of Medicine, 1-20-1 Handayama, Chuo-ku, Hamamatsu City, Shizuoka, 431-3192, Japan.
  • Masaya Kutsuna
    Department of Radiology, Hamamatsu University School of Medicine, 1-20-1 Handayama, Chuo-ku, Hamamatsu City, Shizuoka, 431-3192, Japan.
  • Satoshi Funayama
    Department of Radiology, Faculty of Medicine, University of Yamanashi, Chuo-city, Yamanashi 409-3898, Japan.
  • Tatsunori Kobayashi
    Department of Radiology, Hamamatsu University School of Medicine, 1-20-1 Handayama, Chuo-ku, Hamamatsu City, Shizuoka, 431-3192, Japan.
  • Kumi Ozaki
    Department of Radiology, Hamamatsu University School of Medicine, 1-20-1 Handayama, Chuo-ku, Hamamatsu City, Shizuoka, 431-3192, Japan.
  • Shintaro Ichikawa
    Liver Imaging Group, Department of Radiology, University of California San Diego, La Jolla, CA, USA.
  • Satoshi Goshima
    Department of Radiology, Hamamatsu University School of Medicine, 1-20-1 Handayama, Chuo-ku, Hamamatsu City, Shizuoka, 431-3192, Japan.