Disease Classification of Pulmonary Xenon Ventilation MRI Using Artificial Intelligence.

Journal: Academic radiology
Published Date:

Abstract

RATIONALE AND OBJECTIVES: Hyperpolarized Xenon magnetic resonance imaging (MRI) measures the extent of lung ventilation by ventilation defect percent (VDP), but VDP alone cannot distinguish between diseases. Prior studies have reported anecdotal evidence of disease-specific defect patterns such as wedge-shaped defects in asthma and polka-dot defects in lymphangioleiomyomatosis (LAM). Neural network artificial intelligence can evaluate image shapes and textures to classify images, but this has not been attempted in xenon MRI. We hypothesized that an artificial intelligence network trained on ventilation MRI could classify diseases based on spatial patterns in lung MR images alone.

Authors

  • Alexander M Matheson
    Department of Medical Biophysics and Robarts Research Institute, Western University, London, Canada.
  • Abdullah S Bdaiwi
    Center for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati, Ohio (A.M.M., A.S.B., M.M.W., E.B.H., L.L.W., Z.I.C., J.C.W.).
  • Matthew M Willmering
    Center for Pulmonary Imaging Research, Division of Pulmonary Medicine and Dept of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
  • Erik B Hysinger
    Center for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati, Ohio (A.M.M., A.S.B., M.M.W., E.B.H., L.L.W., Z.I.C., J.C.W.); Department of Pediatrics, Cincinnati, Ohio (M.M.W., E.B.H., L.L.W., Z.I.C., J.C.W.); Cincinnati Bronchopulmonary Dysplasia Center, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio (E.B.H., J.C.W.).
  • Francis X McCormack
    Department of Internal Medicine, Division of Pulmonary, Critical Care, and Sleep Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio (F.X.M.).
  • Laura L Walkup
    Center for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati, Ohio (A.M.M., A.S.B., M.M.W., E.B.H., L.L.W., Z.I.C., J.C.W.); Department of Radiology, Cincinnati, Ohio (L.L.W., Z.I.C., J.C.W.); Department of Pediatrics, Cincinnati, Ohio (M.M.W., E.B.H., L.L.W., Z.I.C., J.C.W.); Department of Biomedical Engineering, Cincinnati, Ohio (L.L.W., Z.I.C.).
  • Zackary I Cleveland
    Center for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati, Ohio (A.M.M., A.S.B., M.M.W., E.B.H., L.L.W., Z.I.C., J.C.W.); Department of Radiology, Cincinnati, Ohio (L.L.W., Z.I.C., J.C.W.); Department of Pediatrics, Cincinnati, Ohio (M.M.W., E.B.H., L.L.W., Z.I.C., J.C.W.); Department of Biomedical Engineering, Cincinnati, Ohio (L.L.W., Z.I.C.).
  • Jason C Woods
    Center for Pulmonary Imaging Research, Division of Pulmonary Medicine and Dept of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.

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