Multi-task Deep Learning of Myocardial Blood Flow and Cardiovascular Risk Traits from PET Myocardial Perfusion Imaging.

Journal: Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
Published Date: Dec 1, 2022

Abstract

BACKGROUND: Advanced cardiac imaging with positron emission tomography (PET) is a powerful tool for the evaluation of known or suspected cardiovascular disease. Deep learning (DL) offers the possibility to abstract highly complex patterns to optimize classification and prediction tasks.

Authors

  • Ming Wai Yeung
    Department of Cardiology, University Medical Center Groningen, University of Groningen, 9700 RB, Groningen, The Netherlands.
  • Jan Walter Benjamins
    Department of Cardiology, University Medical Center Groningen, University of Groningen, 9700 RB, Groningen, The Netherlands.
  • Remco J J Knol
    Cardiac Imaging Division Alkmaar, Department of Nuclear Medicine, Northwest Clinics, Alkmaar, The Netherlands.
  • Friso M van der Zant
    Cardiac Imaging Division Alkmaar, Department of Nuclear Medicine, Northwest Clinics, Alkmaar, The Netherlands.
  • Folkert W Asselbergs
  • Pim van der Harst
    Department of Cardiology, University Medical Center Utrecht, Heidelberglaan 100, Utrecht 3584 CX, The Netherlands.
  • Luis Eduardo Juarez-Orozco
    Turku PET Centre, University of Turku and Turku University Hospital, Kiinamyllynkatu 4-8, 20520, Turku, Finland. l.e.juarez.orozco@gmail.com.

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