Applying machine learning classifiers to automate quality assessment of paediatric dynamic susceptibility contrast (DSC-) MRI data.

Journal: The British journal of radiology
Published Date:

Abstract

OBJECTIVE: Investigate the performance of qualitative review (QR) for assessing dynamic susceptibility contrast (DSC-) MRI data quality in paediatric normal brain and develop an automated alternative to QR.

Authors

  • Stephen J Powell
    Physical Sciences for Health CDT, University of Birmingham, Birmingham, United Kingdom.
  • Stephanie B Withey
    Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom.
  • Yu Sun
    Department of Neurology, China-Japan Friendship Hospital, Beijing, China.
  • James T Grist
    Institute of Cancer and Genomic Sciences, School of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom.
  • Jan Novak
    Oncology, Birmingham Women's and Children's NHS foundation trust, Birmingham, United Kingdom; Department of Psychology, School of Life and Health sciences, Aston University, Birmingham, United Kingdom.
  • Lesley MacPherson
    Radiology, Birmingham Women's and Children's NHS foundation trust, Birmingham, United Kingdom.
  • Laurence Abernethy
    Radiology, Alder Hey Children's NHS foundation trust, Liverpool, United Kingdom.
  • Barry Pizer
    Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom.
  • Richard Grundy
    The Children's Brain Tumour Research Centre, University of Nottingham, Nottingham, United Kingdom.
  • Paul S Morgan
    The Children's Brain Tumour Research Centre, University of Nottingham, Nottingham, United Kingdom.
  • Tim Jaspan
    The Children's Brain Tumour Research Centre, University of Nottingham, Nottingham, UK.
  • Simon Bailey
    Sir James Spence Institute of Child Health, Royal Victoria Infirmary, Newcastle upon Tyne, United Kingdom.
  • Dipayan Mitra
    Neuroradiology, Royal Victoria Infirmary, Newcastle Upon Tyne, United Kingdom.
  • Dorothee P Auer
    Sir Peter Mansfield Imaging Centre, University of Nottingham Biomedical Research Centre, Nottingham, United Kingdom; NIHR Nottingham Biomedical Research Centre, Nottingham, United Kingdom.
  • Shivaram Avula
    Department of Radiology, Alder Hey Foundation Trust Hospital, Liverpool, United Kingdom.
  • Theodoros N Arvanitis
    Institute of Digital Healthcare, WMG, University of Warwick. UK.
  • Andrew Peet
    Institute of Cancer and Genomic Sciences, School of Medical and Dental Sciences, University of Birmingham, Birmingham, UK. a.peet@bham.ac.uk.