ISSLS PRIZE IN BIOENGINEERING SCIENCE 2017: Automation of reading of radiological features from magnetic resonance images (MRIs) of the lumbar spine without human intervention is comparable with an expert radiologist.

Journal: European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
Published Date: May 1, 2017

Abstract

STUDY DESIGN: Investigation of the automation of radiological features from magnetic resonance images (MRIs) of the lumbar spine.

Authors

  • Amir Jamaludin
    Department of Engineering Science, University of Oxford, Oxford, UK.
  • Meelis Lootus
    Department of Engineering Science, University of Oxford, Oxford, UK.
  • Timor Kadir
    Mirada Medical, Oxford, UK.
  • Andrew Zisserman
    Department of Engineering Science, University of Oxford, Oxford, UK.
  • Jill Urban
    Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK.
  • Michele C Battié
    Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, Canada.
  • Jeremy Fairbank
    Botnar Institute of Musculoskeletal Sciences, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK. jeremy.fairbank@ndorms.ox.ac.uk.
  • Iain McCall
    Spinal Studies, RJAH Orthopaedic Hospital Foundation Trust and ISTM (Keele University), Oswestry, UK.

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