Mitral Valve Segmentation and Tracking from Transthoracic Echocardiography Using Deep Learning.

Journal: Ultrasound in medicine & biology
PMID: 38341361

Abstract

OBJECTIVE: Valvular heart diseases (VHDs) pose a significant public health burden, and deciding the best treatment strategy necessitates accurate assessment of heart valve function. Transthoracic echocardiography (TTE) is the key modality to evaluate VHDs, but the lack of standardized quantitative measurements leads to subjective and time-consuming assessments. We aimed to use deep learning to automate the extraction of mitral valve (MV) leaflets and annular hinge points from echocardiograms of the MV, improving standardization and reducing workload in quantitative assessment of MV disease.

Authors

  • Sigurd Vangen Wifstad
  • Henrik Agerup Kildahl
    Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway; Clinic of Cardiology, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway.
  • Bjørnar Grenne
    Department of Circulation and Medical Imaging, Faculty of Medicine and Health Science, Norwegian University of Science and Technology, Prinsesse Kristinas gate 3, Trondheim 7030, Norway.
  • Espen Holte
    Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, PO Box 8905, 7491 Trondheim, Norway.
  • Ståle Wågen Hauge
    Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway; Clinic of Cardiology, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway; Haukeland University Hospital, Bergen, Norway.
  • Sigbjørn Sæbø
    Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway; Clinic of Cardiology, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway.
  • Desalew Mekonnen
    Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia.
  • Berhanu Nega
    Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia.
  • Rune Haaverstad
    Haukeland University Hospital, Bergen, Norway.
  • Mette-Elise Estensen
    Oslo University Hospital, Oslo, Norway.
  • Havard Dalen
    Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, PO Box 8905, 7491 Trondheim, Norway.
  • Lasse Lovstakken
    Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, PO Box 8905, 7491 Trondheim, Norway.

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