Diagnostic accuracy of stress-only myocardial perfusion SPECT improved by deep learning.

Journal: European journal of nuclear medicine and molecular imaging
Published Date: Jan 29, 2021

Abstract

PURPOSE: Deep convolutional neural networks (CNN) for single photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI) has been used to improve the diagnostic accuracy of coronary artery disease (CAD). This study was to design and evaluate a deep learning (DL) approach to automatic diagnosis of myocardial perfusion abnormalities from stress-only MPI.

Authors

  • Hui Liu
    Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
  • Jing Wu
    School of Pharmaceutical Science, Jiangnan University, Wuxi, 214122, Jiangsu, China.
  • Edward J Miller
    Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States.
  • Chi Liu
  • Yaqiang
  • Liu
    Department of Engineering Physics, Tsinghua University, Beijing, People's Republic of China.
  • Yi-Hwa Liu
    Department of Internal Medicine (Cardiology), Yale University, New Haven, CT, USA.

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