Fully Automatic Atrial Fibrosis Assessment Using a Multilabel Convolutional Neural Network.

Journal: Circulation. Cardiovascular imaging
PMID:

Abstract

BACKGROUND: Pathological atrial fibrosis is a major contributor to sustained atrial fibrillation. Currently, late gadolinium enhancement (LGE) scans provide the only noninvasive estimate of atrial fibrosis. However, widespread adoption of atrial LGE has been hindered partly by nonstandardized image processing techniques, which can be operator and algorithm dependent. Minimal validation and limited access to transparent software platforms have also exacerbated the problem. This study aims to estimate atrial fibrosis from cardiac magnetic resonance scans using a reproducible operator-independent fully automatic open-source end-to-end pipeline.

Authors

  • Orod Razeghi
    King's College London, London, United Kingdom.
  • Iain Sim
    Biomedical Engineering and Imaging Sciences, King's College London, United Kingdom (O.R., I.S., C.H.R., R.K., H.C., J.W., L.O., R.M., M.O., S.E.W., S.N.).
  • Caroline H Roney
    King's College London, London, United Kingdom.
  • Rashed Karim
    King's College London, London, United Kingdom.
  • Henry Chubb
    Department of Pediatrics, Stanford University, Stanford, CA, 94304, USA.
  • John Whitaker
    Biomedical Engineering and Imaging Sciences, King's College London, United Kingdom (O.R., I.S., C.H.R., R.K., H.C., J.W., L.O., R.M., M.O., S.E.W., S.N.).
  • Louisa O'Neill
    Biomedical Engineering and Imaging Sciences, King's College London, United Kingdom (O.R., I.S., C.H.R., R.K., H.C., J.W., L.O., R.M., M.O., S.E.W., S.N.).
  • Rahul Mukherjee
    Biomedical Engineering and Imaging Sciences, King's College London, United Kingdom (O.R., I.S., C.H.R., R.K., H.C., J.W., L.O., R.M., M.O., S.E.W., S.N.).
  • Matthew Wright
    School of Photovoltaic and Renewable Energy Engineering, University of New South Wales, 2052 Sydney, Australia.
  • Mark O'Neill
    Division of Cardiovascular Medicine, Guys and St Thomas' NHS Foundation Trust, King's College London, London, United Kingdom.
  • Steven E Williams
    Biomedical Engineering and Imaging Sciences, King's College London, United Kingdom (O.R., I.S., C.H.R., R.K., H.C., J.W., L.O., R.M., M.O., S.E.W., S.N.).
  • Steven Niederer
    Department of Biomedical Engineering, King's College London, United Kingdom (C.C., S.N.).