Machine learning classification of OARSI-scored human articular cartilage using magnetic resonance imaging.

Journal: Osteoarthritis and cartilage
Published Date:

Abstract

OBJECTIVE: The purpose of this study is to evaluate the ability of machine learning to discriminate between magnetic resonance images (MRI) of normal and pathological human articular cartilage obtained under standard clinical conditions.

Authors

  • B G Ashinsky
    Magnetic Resonance Imaging and Spectroscopy Section, National Institute on Aging, National Institutes of Health, Baltimore, MD, United States. Electronic address: beth.ashinsky@gmail.com.
  • C E Coletta
    Image Informatics and Computational Biology Unit, National Institute on Aging, National Institutes of Health, Baltimore, MD, United States. Electronic address: christopher.coletta@nih.gov.
  • M Bouhrara
    Magnetic Resonance Imaging and Spectroscopy Section, National Institute on Aging, National Institutes of Health, Baltimore, MD, United States. Electronic address: mustapha.bouhrara2@nih.gov.
  • V A Lukas
    Magnetic Resonance Imaging and Spectroscopy Section, National Institute on Aging, National Institutes of Health, Baltimore, MD, United States. Electronic address: vannylukas@gmail.com.
  • J M Boyle
    Magnetic Resonance Imaging and Spectroscopy Section, National Institute on Aging, National Institutes of Health, Baltimore, MD, United States. Electronic address: jmboyle@oakland.edu.
  • D A Reiter
    Laboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Baltimore, MD, United States. Electronic address: reiterda@nia.nih.gov.
  • C P Neu
    Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States. Electronic address: cpneu@purdue.edu.
  • I G Goldberg
    Image Informatics and Computational Biology Unit, National Institute on Aging, National Institutes of Health, Baltimore, MD, United States. Electronic address: goldbergil@helix.nih.gov.
  • R G Spencer
    Magnetic Resonance Imaging and Spectroscopy Section, National Institute on Aging, National Institutes of Health, Baltimore, MD, United States. Electronic address: spencer@helix.nih.gov.