Automated assessment of cardiac pathologies on cardiac MRI using T1-mapping and late gadolinium phase sensitive inversion recovery sequences with deep learning.

Journal: BMC medical imaging
PMID: 38350900

Abstract

BACKGROUND: A deep learning (DL) model that automatically detects cardiac pathologies on cardiac MRI may help streamline the diagnostic workflow. To develop a DL model to detect cardiac pathologies on cardiac MRI T1-mapping and late gadolinium phase sensitive inversion recovery (PSIR) sequences were used.

Authors

  • Aleksandra M Paciorek
    Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany. aleksandra.paciorek@tum.de.
  • Claudio E von Schacky
    From the Department of Radiology and Biomedical Imaging (C.E.v.S., J.H.S., E.O., P.M.J., M.P., S.C.F., T.M.L., V.P.) and Department of Epidemiology and Biostatistics (F.L., M.C.N.), University of California, San Francisco, 185 Berry St, Suite 350, San Francisco, CA 94107; Department of Diagnostic and Interventional Radiology, Technische Universität München, Munich, Germany (C.E.v.S., S.C.F.); Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, Freiburg, Germany (P.M.J.); and Department of Radiology, University of California Davis Health, Sacramento, Calif (L.N.).
  • Sarah C Foreman
    From the Department of Radiology and Biomedical Imaging (C.E.v.S., J.H.S., E.O., P.M.J., M.P., S.C.F., T.M.L., V.P.) and Department of Epidemiology and Biostatistics (F.L., M.C.N.), University of California, San Francisco, 185 Berry St, Suite 350, San Francisco, CA 94107; Department of Diagnostic and Interventional Radiology, Technische Universität München, Munich, Germany (C.E.v.S., S.C.F.); Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, Freiburg, Germany (P.M.J.); and Department of Radiology, University of California Davis Health, Sacramento, Calif (L.N.).
  • Felix G Gassert
    Department of Diagnostic and Interventional Radiology, School of Medicine and Klinikum rechts der Isar, Technical University of Munich, 81675, Munich, Germany.
  • Florian T Gassert
    Department of Diagnostic and Interventional Radiology, School of Medicine and Klinikum rechts der Isar, Technical University of Munich, 81675, Munich, Germany.
  • Jan S Kirschke
    Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany.
  • Karl-Ludwig Laugwitz
    Department of Medicine I, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
  • Tobias Geith
    Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
  • Martin Hadamitzky
    School of Medicine and Health, Institute for Cardiovascular Radiology and Nuclear Medicine, German Heart Center Munich, TUM University Hospital, Technical University of Munich, Munich, Germany.
  • Jonathan Nadjiri
    Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.

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