Deep learning reconstruction enhances image quality in contrast-enhanced CT venography for deep vein thrombosis.

Journal: Emergency radiology
Published Date:

Abstract

PURPOSE: This study aimed to evaluate and compare the diagnostic performance and image quality of deep learning reconstruction (DLR) with hybrid iterative reconstruction (Hybrid IR) and filtered back projection (FBP) in contrast-enhanced CT venography for deep vein thrombosis (DVT).

Authors

  • Yusuke Asari
    Department of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
  • Koichiro Yasaka
    From the Department of Radiology, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan 113-8655.
  • Joji Kurashima
    Department of Radiology, The University of Tokyo, Tokyo, Japan.
  • Akira Katayama
    Department of Radiology, The University of Tokyo Hospital, Bunkyo-ku, Tokyo, Japan.
  • Mariko Kurokawa
    Department of Radiology, The University of Tokyo Hospital, Tokyo, Japan.
  • Osamu Abe
    From the Department of Radiology, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan 113-8655.

Keywords

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