Deep learning reconstruction for improved image quality of ultra-high-resolution brain CT angiography: application in moyamoya disease.

Journal: Japanese journal of radiology
Published Date: May 29, 2025

Abstract

PURPOSE: To investigate vessel delineation and image quality of ultra-high-resolution (UHR) CT angiography (CTA) reconstructed using deep learning reconstruction (DLR) optimised for brain CTA (DLR-brain) in moyamoya disease (MMD), compared with DLR optimised for body CT (DLR-body) and hybrid iterative reconstruction (Hybrid-IR).

Authors

  • Yongping Ma
    Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Shogoin-Kawahara-Cho, Sakyo-Ku, Kyoto, 606-8507, Japan.
  • Satoshi Nakajima
    Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University.
  • Yasutaka Fushimi
    Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University.
  • Takeshi Funaki
    Departments of Neurosurgery, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-ku Kyoto 606-8507, Japan.
  • Sayo Otani
    Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawahara-Cho, Sakyo-Ku, Kyoto, 606-8507, Japan.
  • Miyuki Takiya
    Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Shogoin-Kawahara-Cho, Sakyo-Ku, Kyoto, 606-8507, Japan.
  • Akira Matsuda
    Division of Clinical Radiology Service, Kyoto University Hospital, 54 Shogoin-Kawahara-Cho, Sakyo-Ku, Kyoto, 606-8507, Japan.
  • Satoshi Kozawa
    Division of Clinical Radiology Service, Kyoto University Hospital, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan.
  • Yasuhiro Fukushima
    Division of Clinical Radiology Service, Kyoto University Hospital, 54 Kawaharacho, Shogoin, Sakyo-ku Kyoto 606-8507, Japan.
  • Sachi Okuchi
    Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawahara-Cho, Sakyo-Ku, Kyoto, 606-8507, Japan.
  • Akihiko Sakata
    Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-ku Kyoto 606-8507, Japan.
  • Takayuki Yamamoto
    Health Science Research Center, Morinaga & Co Ltd, Yokohama, Kanagawa, Japan.
  • Ryo Sakamoto
    Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan.
  • Hideo Chihara
    Department of Neurosurgery, Kokura Memorial Hospital, Kitakyushu, Japan (T.O., H.C., T.H.).
  • Yohei Mineharu
    Department of Artificial Intelligence in Healthcare and Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
  • Yoshiki Arakawa
    Department of Neurosurgery, Kyoto University Graduate School of Medicine, Kyoto, Japan.
  • Yuji Nakamoto
    Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University.

Keywords

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