Explainable deep-learning-based ischemia detection using hybrid O-15 HO perfusion positron emission tomography and computed tomography imaging with clinical data.

Journal: Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
Published Date: Jun 8, 2024

Abstract

BACKGROUND: We developed an explainable deep-learning (DL)-based classifier to identify flow-limiting coronary artery disease (CAD) by O-15 HO perfusion positron emission tomography computed tomography (PET/CT) and coronary CT angiography (CTA) imaging. The classifier uses polar map images with numerical data and visualizes data findings.

Authors

  • Jarmo Teuho
    Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland.
  • Jussi Schultz
    Turku PET Centre, University of Turku, Turku, Finland; Turku PET Centre, Turku University Hospital, Turku, Finland.
  • Riku Klén
    Turku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland.
  • 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.
  • Juhani Knuuti
    Turku PET Centre, University of Turku and Turku University Hospital, Kiinamyllynkatu 4-8, 20520, Turku, Finland.
  • Antti Saraste
    Heart Center, Turku University Hospital, University of Turku, Turku, Finland.
  • Naoaki Ono
    Data Science Center, Nara Institute of Science and Technology, Ikoma, Japan. nono@is.naist.jp.
  • Shigehiko Kanaya
    Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma, Japan.

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