Myelin water imaging data analysis in less than one minute.

Journal: NeuroImage
PMID:

Abstract

PURPOSE: Based on a deep learning neural network (NN) algorithm, a super fast and easy to implement data analysis method was proposed for myelin water imaging (MWI) to calculate the myelin water fraction (MWF).

Authors

  • Hanwen Liu
    Physics & Astronomy, University of British Columbia, Canada; International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Canada.
  • Qing-San Xiang
    Physics & Astronomy, University of British Columbia, Canada; Radiology, University of British Columbia, Canada.
  • Roger Tam
  • Adam V Dvorak
    Physics & Astronomy, University of British Columbia, Canada; International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Canada.
  • Alex L MacKay
    Physics & Astronomy, University of British Columbia, Canada; Radiology, University of British Columbia, Canada.
  • Shannon H Kolind
    Physics & Astronomy, University of British Columbia, Canada; International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Canada; Radiology, University of British Columbia, Canada; Medicine, University of British Columbia, Canada.
  • Anthony Traboulsee
  • Irene M Vavasour
    International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Canada; Radiology, University of British Columbia, Canada.
  • David K B Li
  • John K Kramer
    International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Canada; Kinesiology, University of British Columbia, Canada.
  • Cornelia Laule
    Physics & Astronomy, University of British Columbia, Canada; International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Canada; Radiology, University of British Columbia, Canada; Pathology & Laboratory Medicine, University of British Columbia, Canada. Electronic address: claule@physics.ubc.ca.