Deep-learning reconstruction to improve image quality of myocardial dynamic CT perfusion: comparison with hybrid iterative reconstruction.

Journal: Clinical radiology
PMID: 35853777

Abstract

No abstract available for this article.

Authors

  • M Takafuji
    Department of Radiology, Mie University Graduate School of Medicine, Tsu, Japan; Department of Radiology, Matsusaka Municipal Hospital, Matsusaka, Japan.
  • K Kitagawa
    Department of Radiology, Mie University Graduate School of Medicine, Tsu, Japan. Electronic address: kakuya@med.mie-u.ac.jp.
  • S Mizutani
    Department of Radiology, Matsusaka Municipal Hospital, Matsusaka, Japan.
  • R Oka
    Department of Radiology, Matsusaka Municipal Hospital, Matsusaka, Japan.
  • R Kisou
    Department of Radiology, Matsusaka Municipal Hospital, Matsusaka, Japan.
  • S Sakaguchi
    Department of Cardiology, Matsusaka Municipal Hospital, Matsusaka, Japan.
  • K Ichikawa
    Department of Cardiology, Matsusaka Municipal Hospital, Matsusaka, Japan.
  • D Izumi
    Department of Cardiology, Matsusaka Municipal Hospital, Matsusaka, Japan.
  • H Sakuma
    Department of Radiology, Mie University Graduate School of Medicine, Tsu, Japan.

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