Advanced deep learning methodology for accurate, real-time segmentation of high-resolution intravascular ultrasound images.

Journal: International journal of cardiology
Published Date:

Abstract

AIMS: The aim of this study is to develop and validate a deep learning (DL) methodology capable of automated and accurate segmentation of intravascular ultrasound (IVUS) image sequences in real-time.

Authors

  • Retesh Bajaj
    Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London, EC1A 7BE, UK.
  • Xingru Huang
    School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK.
  • Yakup Kilic
    Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London, EC1A 7BE, UK.
  • Anantharaman Ramasamy
    Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London, EC1A 7BE, UK.
  • Ajay Jain
    Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London, EC1A 7BE, UK.
  • Mick Ozkor
    Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK.
  • Vincenzo Tufaro
    Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London, EC1A 7BE, UK.
  • Hannah Safi
    Department of Mechanical Engineering, University College London, London, UK.
  • Emrah Erdogan
    Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, UK.
  • Patrick W Serruys
    NHLI, Imperial College London, London, United Kingdom.
  • James Moon
    Imperial College London, National Heart and Lung Institute, Hammersmith Hospital, United Kingdom
  • Francesca Pugliese
    Centre for Advanced Cardiovascular Imaging, NIHR Cardiovascular Biomedical Research Unit at Barts, Barts and the London School of Medicine, Queen Mary University of London, UK.
  • Anthony Mathur
    Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, West Smithfield, London, EC1A 7BE, UK.
  • Ryo Torii
    Department of Mechanical Engineering, University College London, London, UK.
  • Andreas Baumbach
    Kirchhoff-Institute for Physics, Heidelberg University, Im Neuenheimer Feld 227, D-69120 Heidelberg, Germany.
  • Jouke Dijkstra
    Department of Radiology, Division of Image Processing, Leiden University Medical Center, Leiden, The Netherlands.
  • Qianni Zhang
    Queen Mary University of London, London, UK.
  • Christos V Bourantas
    Institute of Cardiovascular Science, University College London, United Kingdom (K.D.K., A.S., J.B.A., L.C., C.M., A.N.B., T.K., C.V.B., R.H.D., M.F., J.C.M.).