Implementable Deep Learning for Multi-sequence Proton MRI Lung Segmentation: A Multi-center, Multi-vendor, and Multi-disease Study.

Journal: Journal of magnetic resonance imaging : JMRI
Published Date: Oct 1, 2023

Abstract

BACKGROUND: Recently, deep learning via convolutional neural networks (CNNs) has largely superseded conventional methods for proton ( H)-MRI lung segmentation. However, previous deep learning studies have utilized single-center data and limited acquisition parameters.

Authors

  • Joshua R Astley
    POLARIS, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom.
  • Alberto M Biancardi
    POLARIS, Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, UK.
  • Paul J C Hughes
    POLARIS, Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, UK.
  • Helen Marshall
    POLARIS, Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, UK.
  • Guilhem J Collier
    POLARIS, Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, UK.
  • Ho-Fung Chan
    POLARIS, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, UK.
  • Laura C Saunders
    POLARIS, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, UK.
  • Laurie J Smith
    POLARIS, Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, UK.
  • Martin L Brook
    POLARIS, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, UK.
  • Roger Thompson
    Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
  • Sarah Rowland-Jones
    Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
  • Sarah Skeoch
    Royal National Hospital for Rheumatic Diseases, Royal United Hospital NHS Foundation Trust, Bath, UK.
  • Stephen M Bianchi
    Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
  • Matthew Q Hatton
    Department of Oncology and Metabolism, The University of Sheffield, Sheffield, UK.
  • Najib M Rahman
    Division of Cardiovascular Medicine, Radcliffe Department of Medicine, National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), University of Oxford, Oxford, UK.
  • Ling-Pei Ho
    MRC Human Immunology Unit, University of Oxford, Oxford, UK.
  • Chris E Brightling
    The Institute for Lung Health, NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK.
  • Louise V Wain
    The Institute for Lung Health, NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK.
  • Amisha Singapuri
    The Institute for Lung Health, NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK.
  • Rachael A Evans
    NIHR Biomedical Research Centre - Respiratory, Department of Respiratory Sciences, University of Leicester, Leicester, UK; Department of Respiratory Medicine, University Hospitals of Leicester NHS Trust, Glenfield Hospital, Leicester UK. Electronic address: re66@leicester.ac.uk.
  • Alastair J Moss
    BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
  • Gerry P McCann
    Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK.
  • Stefan Neubauer
    Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
  • Betty Raman
    Division of Cardiovascular Medicine, Radcliffe Department of Medicine, National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), University of Oxford, Oxford, UK.
  • Jim M Wild
    Department of Oncology and Metabolism, The University of Sheffield, Sheffield, United Kingdom.
  • Bilal A Tahir
    POLARIS, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom.

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