Texture-based probability mapping for automatic assessment of myocardial injury in late gadolinium enhancement images after revascularized STEMI.

Journal: International journal of cardiology
Published Date: Mar 2, 2025

Abstract

BACKGROUND: Late Gadolinium-enhancement in cardiac magnetic resonance imaging (LGE-CMR) is the gold standard for assessing myocardial infarction (MI) size. Texture-based probability mapping (TPM) is a novel machine learning-based analysis of LGE images of myocardial injury. The ability of TPM to assess acute myocardial injury has not been determined.

Authors

  • Vidar Frøysa
    Department of Cardiology, Stavanger University Hospital, Armauer Hansens vei 20, 4011 Stavanger, Norway. Electronic address: vidarf@gmail.com.
  • Gøran J Berg
    Department of Electrical and Computer Science, University of Stavanger, 4036 Stavanger, P.O. box 8600, Norway. Electronic address: Goran.j.berg@uis.no.
  • Erlend Singsaas
    Hjertespesialist Erlend G Singsaas AS, Boganesveien 10, 4020 Stavanger, Norway.
  • Trygve Eftestøl
    Department of Electrical Engineering and Computer Science, University of Stavanger, Stavanger, Norway.
  • Leik Woie
    Department of Cardiology, Stavanger University Hospital, Armauer Hansens vei 20, 4011 Stavanger, Norway.
  • Stein Ørn
    Department of Cardiology, Stavanger University Hospital, Armauer Hansens vei 20, 4011 Stavanger, Norway; Department of Electrical and Computer Science, University of Stavanger, 4036 Stavanger, P.O. box 8600, Norway.

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