Comparison of manual and artificial intelligence based quantification of myocardial strain by feature tracking-a cardiovascular MR study in health and disease.

Journal: European radiology
Published Date: Aug 18, 2023

Abstract

OBJECTIVES: The analysis of myocardial deformation using feature tracking in cardiovascular MR allows for the assessment of global and segmental strain values. The aim of this study was to compare strain values derived from artificial intelligence (AI)-based contours with manually derived strain values in healthy volunteers and patients with cardiac pathologies.

Authors

  • Jan Gröschel
    Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany.
  • Johanna Kuhnt
    Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany.
  • Darian Viezzer
    Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany.
  • Thomas Hadler
    Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany.
  • Sophie Hormes
    Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany.
  • Phillip Barckow
    Circle Cardiovascular Imaging Inc, Calgary, AB, Canada.
  • Jeanette Schulz-Menger
    Charité-Universitätsmedizin Berlin, Experimental and Clinical Research Center, Working Group On CMR and HELIOS Klinikum Berlin Buch, Cardiology Berlin, DZHK partnersite Berlin, Berlin, Germany.
  • Edyta Blaszczyk
    Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany. edyta.blaszczyk@charite.de.

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