Deep learning-based image reconstruction for brain CT: improved image quality compared with adaptive statistical iterative reconstruction-Veo (ASIR-V).

Journal: Neuroradiology
Published Date: Oct 10, 2020

Abstract

PURPOSE: To compare the image quality of brain computed tomography (CT) images reconstructed with deep learning-based image reconstruction (DLIR) and adaptive statistical iterative reconstruction-Veo (ASIR-V).

Authors

  • Injoong Kim
    Department of Radiology, Veterans Health Service Medical Center, Seoul, Korea.
  • Hyunkoo Kang
    Department of Radiology, Veterans Health Service Medical Center, 53 Jinhwangdo-ro 61-gil, Gangdong-gu, Seoul, 05368, South Korea.
  • Hyun Jung Yoon
    Department of Radiology, Veterans Health Service Medical Center, Seoul, Korea. pinnari@hanmail.net.
  • Bo Mi Chung
    Department of Radiology, Veterans Health Service Medical Center, 53 Jinhwangdo-ro 61-gil, Gangdong-gu, Seoul, 05368, South Korea.
  • Na-Young Shin
    Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 065-591, Republic of Korea.

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