Gated cardiac CT in infants: What can we expect from deep learning image reconstruction algorithm?

Journal: Journal of cardiovascular computed tomography
PMID: 38480035

Abstract

BACKGROUND: ECG-gated cardiac CT is now widely used in infants with congenital heart disease (CHD). Deep Learning Image Reconstruction (DLIR) could improve image quality while minimizing the radiation dose.

Authors

  • Marianna Gulizia
    Department of Radiology and Interventional Radiology, Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1011 Lausanne, Switzerland. Electronic address: marianna.gulizia@chuv.ch.
  • Leonor Alamo
    Department of Radiology and Interventional Radiology, Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1011 Lausanne, Switzerland. Electronic address: leonor.alamo@chuv.ch.
  • Yasser Alemán-Gómez
    Department of Radiology and Interventional Radiology, Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1011 Lausanne, Switzerland. Electronic address: yasser.aleman-gomez@chuv.ch.
  • Tyna Cherpillod
    Department of Radiology and Interventional Radiology, Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1011 Lausanne, Switzerland. Electronic address: tyna.cherpillod@chuv.ch.
  • Katerina Mandralis
    Department of Radiology and Interventional Radiology, Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1011 Lausanne, Switzerland. Electronic address: katerina.mandralis@chuv.ch.
  • Christine Chevallier
    Department of Radiology and Interventional Radiology, Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1011 Lausanne, Switzerland. Electronic address: christine.chevallier@chuv.ch.
  • Estelle Tenisch
    Department of Radiology and Interventional Radiology, Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1011 Lausanne, Switzerland. Electronic address: estelle.tenisch@chuv.ch.
  • Anais Viry
    Institute of Radiation Physics (IRA), Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Rue du Grand-Pré 1, 1007 Lausanne, Switzerland.

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