Support vector machine classification of arterial volume-weighted arterial spin tagging images.

Journal: Brain and behavior
Published Date: Dec 1, 2016

Abstract

INTRODUCTION: In recent years, machine-learning techniques have gained growing popularity in medical image analysis. Temporal brain-state classification is one of the major applications of machine-learning techniques in functional magnetic resonance imaging (fMRI) brain data. This article explores the use of support vector machine (SVM) classification technique with motor-visual activation paradigm to perform brain-state classification into activation and rest with an emphasis on different acquisition techniques.

Authors

  • Yash S Shah
    Functional MRI Laboratory Biomedical Engineering University of Michigan Ann Arbor MI USA.
  • Luis Hernandez-Garcia
    Functional MRI Laboratory Biomedical Engineering University of Michigan Ann Arbor MI USA.
  • Hesamoddin Jahanian
    Department of Radiology Stanford University Stanford CA USA.
  • Scott J Peltier
    Functional MRI Laboratory, University of Michigan, Ann Arbor, MI, USA.

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