A machine learning algorithm for creating isotropic 3D aortic segmentations from routine cardiac MR localizers.

Journal: Magnetic resonance imaging
PMID:

Abstract

BACKGROUND: The identification and measurement of aortic aneurysms is an important clinical problem. While specialized high-resolution 3D CMR sequences allow detailed aortic assessment, they are time-consuming which limits their use in screening routine cardiac scans and in population studies.

Authors

  • Yue Jiang
  • Karan Punjabi
    Barts Heart Centre, St. Bartholomew's Hospital, London EC1A 7BE, United Kingdom. Electronic address: k.punjabi@nhs.net.
  • Iain Pierce
    Barts Heart Centre, St Bartholomew's Hospital, West Smithfield, London, United Kingdom.
  • Daniel Knight
    UCL Centre for Translational Cardiovascular Imaging, University College London, 30 Guilford St, London, WC1N 1EH, UK.
  • Tina Yao
    From the Institutes of Health Informatics (T.Y.) and Cardiovascular Science (M.Q., J.A.S., V.M.), University College London, 20c Guilford Street, London WC1N 1DZ, England; Department of Cardiology, Boston Children's Hospital, Boston, Mass (N.S.C., G.F.M., S.G., D.S., R.H.R.); Department of Pediatrics, University of Michigan, Ann Arbor, Mich (A.L.D.); Division of Cardiology, The Children's Hospital of Philadelphia, Philadelphia, Pa (M.A.F.); Department of Radiology, Nationwide Children's Hospital, Columbus, Ohio (R.K.); Department of Diagnostic Imaging, Hospital for Sick Children, Toronto, Canada (C.Z.L.); Department of Pediatrics, Ann and Robert H Lurie Children's Hospital of Chicago, Chicago, Ill (J.D.R.); Department of Pediatric Cardiology, Emory University School of Medicine, Atlanta, Ga (T.C.S.); and Department of Cardiology, Texas Children's Hospital, Houston, Tex (J.W.).
  • Jennifer Steeden
    UCL Centre for Translational Cardiovascular Imaging, University College London, 30 Guilford St, London, WC1N 1EH, UK.
  • Alun D Hughes
    Institute of Cardiovascular Science, University College London, Gower Street, London, United Kingdom.
  • Vivek Muthurangu
    UCL Centre for Cardiovascular Imaging, University College London, London, United Kingdom.
  • Rhodri Davies
    Institute for Cardiovascular Science, University College London, United Kingdom