A Combined Region- and Pixel-Based Deep Learning Approach for Quantifying Abdominal Adipose Tissue in Adolescents Using Dixon Magnetic Resonance Imaging.

Journal: Tomography (Ann Arbor, Mich.)
PMID: 36648999

Abstract

BACKGROUND: The development of adipose tissue during adolescence may provide valuable insights into obesity-associated diseases. We propose an automated convolutional neural network (CNN) approach using Dixon-based magnetic resonance imaging (MRI) to quantity abdominal subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) in children and adolescents.

Authors

  • Olanrewaju A Ogunleye
    Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA.
  • Harish RaviPrakash
    2 Department of Computer Science, Center for Research in Computer Vision, University of Central Florida (UCF) , Orlando, FL , USA.
  • Ashlee M Simmons
    Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA.
  • Rhasaan T M Bovell
    Behavioral Endocrinology Branch, Division of Intramural Research, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA.
  • Pedro E Martinez
    Behavioral Endocrinology Branch, Division of Intramural Research, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA.
  • Jack A Yanovski
    Section on Growth and Obesity, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA.
  • Karen F Berman
    Clinical and Translational Neuroscience Branch, National Institute of Mental Health, National Institutes of Health Bethesda, MD, USA.
  • Peter J Schmidt
    Behavioral Endocrinology Branch, Division of Intramural Research, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA.
  • Elizabeth C Jones
    Clinical Center, National Institutes of Health, Bethesda, MD, United States.
  • Hadi Bagheri
    Department of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
  • Nadia M Biassou
    Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA.
  • Li-Yueh Hsu
    National Heart, Lung, and Blood Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD.

Keywords

External Resources

Popular Topics
Recent Journals