Deep learning for automated left ventricular outflow tract diameter measurements in 2D echocardiography.

Journal: Cardiovascular ultrasound
Published Date: Oct 13, 2023

Abstract

BACKGROUND: Measurement of the left ventricular outflow tract diameter (LVOTd) in echocardiography is a common source of error when used to calculate the stroke volume. The aim of this study is to assess whether a deep learning (DL) model, trained on a clinical echocardiographic dataset, can perform automatic LVOTd measurements on par with expert cardiologists.

Authors

  • Sigurd Zijun Zha
    University of Oslo, Oslo, Norway. sigzha@gmail.com.
  • Magnus Rogstadkjernet
    University of Oslo, Oslo, Norway.
  • Lars Gunnar Klæboe
    Oslo University Hospital, Rikshospitalet, Oslo, Norway.
  • Helge Skulstad
    University of Oslo, Oslo, Norway.
  • Bjørn-Jostein Singstad
    Oslo University Hospital, Rikshospitalet, Oslo, Norway.
  • Andrew Gilbert
    GE Vingmed Ultrasound AS, Horton, Norway.
  • Thor Edvardsen
  • Eigil Samset
  • Pål Haugar Brekke
    Oslo University Hospital, Rikshospitalet, Oslo, Norway.

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