Machine Learning in Nuclear Medicine: Part 1-Introduction.

Journal: Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Published Date: Feb 7, 2019

Abstract

This article, the first in a 2-part series, provides an introduction to machine learning (ML) in a nuclear medicine context. This part addresses the history of ML and describes common algorithms, with illustrations of when they can be helpful in nuclear medicine. Part 2 focuses on current contributions of ML to our field, addresses future expectations and limitations, and provides a critical appraisal of what ML can and cannot do.

Authors

  • Carlos F Uribe
    Department of Molecular Oncology, BC Cancer, Vancouver, British Columbia, Canada.
  • Sulantha Mathotaarachchi
    Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging (MCSA), Douglas Research Institute, McGill University, Montreal, Quebec, Canada; McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
  • Vincent Gaudet
    Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario, Canada.
  • Kenneth C Smith
    Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario, Canada.
  • Pedro Rosa-Neto
    Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging (MCSA), Douglas Research Institute, McGill University, Montreal, Quebec, Canada; McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada; McGill University Research Centre for Studies in Aging (MCSA), Douglas Research Institute, McGill University, Montreal, Quebec, Canada; Douglas Research Institute, McGill University, Montreal, Quebec, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Department of Neurology & Neurosurgery, McGill University, Montreal, Quebec, Canada. Electronic address: pedro.rosa@mcgill.ca.
  • François Bénard
    Department of Molecular Oncology, BC Cancer, Vancouver, British Columbia, Canada.
  • Sandra E Black
    Institute of Medical Science, University of Toronto, Toronto, ON Canada.
  • Katherine Zukotynski
    Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada; and zukotynk@mcmaster.ca.

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