Intensity standardization of MRI prior to radiomic feature extraction for artificial intelligence research in glioma-a systematic review.

Journal: European radiology
Published Date: Apr 29, 2022

Abstract

OBJECTIVES: Radiomics is a promising avenue in non-invasive characterisation of diffuse glioma. Clinical translation is hampered by lack of reproducibility across centres and difficulty in standardising image intensity in MRI datasets. The study aim was to perform a systematic review of different methods of MRI intensity standardisation prior to radiomic feature extraction.

Authors

  • Kavi Fatania
    Department of Radiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK. Kavi.fatania@nhs.net.
  • Farah Mohamud
    University of Leeds Medical School, Leeds, UK.
  • Anna Clark
    Department of Medical Physics, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
  • Michael Nix
    Department of Medical Physics, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
  • Susan C Short
    Leeds Institute of Medical Research, University of Leeds, Leeds, UK.
  • James O'Connor
    Division of Cancer Sciences, The University of Manchester, Manchester, UK.
  • Andrew F Scarsbrook
    Department of Radiology, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom.
  • Stuart Currie
    Department of Radiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK.

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