Pulmonary Xe MRI: CNN Registration and Segmentation to Generate Ventilation Defect Percent with Multi-center Validation.

Journal: Academic radiology
Published Date: Nov 23, 2024

Abstract

RATIONALE AND OBJECTIVES: Hyperpolarized Xe MRI quantifies ventilation-defect-percent (VDP), the ratio of Xe signal-void to the anatomic H MRI thoracic-cavity-volume. VDP is associated with airway inflammation and disease control and serves as a treatable trait in therapy studies. Semi-automated VDP pipelines require time-intensive observer interactions. Current convolutional neural network (CNN) approaches for quantifying VDP lack external validation, which limits multicenter utilization. Our objective was to develop an automated and externally validated deep-learning pipeline to quantify pulmonary Xe MRI VDP.

Authors

  • Ali Mozaffaripour
    Robarts Research Institute, Western University, London, Canada; School of Biomedical Engineering, Western University, London, Canada.
  • Alexander M Matheson
    Department of Medical Biophysics and Robarts Research Institute, Western University, London, Canada.
  • Omar Rahman
    Robarts Research Institute, Western University, London, Canada.
  • Maksym Sharma
    Robarts Research Institute, Western University, 1151 Richmond St N, London, N6A 5B7, Canada (M.S., G.P.); Department of Medical Biophysics, Western University, London, Canada (M.S., G.P.).
  • Harkiran K Kooner
    Robarts Research Institute, Western University, London, Canada; Department of Medical Biophysics, Western University, London, Canada; Department of Radiation Oncology, Johns Hopkins University, Baltimore, Maryland, USA.
  • Marrissa J McIntosh
    Robarts Research Institute, Western University, London, Canada; Department of Medical Biophysics, Western University, London, Canada; Department of Radiology, University of Iowa, Iowa City, Iowa, USA.
  • Jonathan Rayment
    BC Children's Hospital Research Institute, Vancouver, Canada.
  • Rachel L Eddy
    Centre for Heart Lung Innovation, St. Paul's Hospital, Vancouver, Canada.
  • Sarah Svenningsen
    Division of Respirology, Department of Medicine, McMaster University, Hamilton, Canada.
  • Grace Parraga
    From the Robarts Research Institute, London, Canada (A.W., A.F., G.P.); Department of Medical Biophysics (A.W., A.D.W., A.F., G.P.), Division of Respirology, Department of Medicine (D.G.M., G.P.), and Department of Oncology (A.D.W.), Western University, 1151 Richmond St N, London, ON, Canada N6A 5B7; and Department of Radiation Oncology, Stanford University School of Medicine, Stanford, Calif (D.P.I.C.).

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