Deep learning reconstruction allows for usage of contrast agent of lower concentration for coronary CTA than filtered back projection and hybrid iterative reconstruction.

Journal: Acta radiologica (Stockholm, Sweden : 1987)
PMID: 35979586

Abstract

BACKGROUND: The demand for homogeneous and higher vascular contrast enhancement is critical to provide an appropriate interpretation of abnormal vascular findings in coronary computed tomography angiography (CTA).

Authors

  • Chuluunbaatar Otgonbaatar
    Department of Radiology, College of Medicine, Seoul National University, 03080 Seoul, Republic of Korea.
  • Jae-Kyun Ryu
    Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea.
  • Jaemin Shin
    Department of Neurology, 58934Korea University Guro Hospital, Seoul, Republic of Korea.
  • Han Myun Kim
    Department of Radiology, 65521Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Republic of Korea.
  • Jung Wook Seo
    Department of Radiology, Inje University Ilsan Paik Hospital, 10380 Goyang, Republic of Korea.
  • Hackjoon Shim
    Connect AI Research Center, Yonsei University College of Medicine, 03772 Seoul, Republic of Korea.
  • Dae Hyun Hwang
    Department of Radiology, Inje University Seoul Paik Hospital, 04551 Seoul, Republic of Korea.

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