A novel deep-learning-based approach for automatic reorientation of 3D cardiac SPECT images.

Journal: European journal of nuclear medicine and molecular imaging
Published Date: Apr 2, 2021

Abstract

PURPOSE: Reconstructed transaxial cardiac SPECT images need to be reoriented into standard short-axis slices for subsequent accurate processing and analysis. We proposed a novel deep-learning-based method for fully automatic reorientation of cardiac SPECT images and evaluated its performance on data from two clinical centers.

Authors

  • Duo Zhang
    Research Center for Healthcare Data Science, Zhejiang Lab, Hangzhou, China.
  • P Hendrik Pretorius
  • Kaixian Lin
    Department of Nuclear Medicine, Fujian Provincial Key Laboratory of Precision Medicine for Cancer, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
  • Weibing Miao
    Department of Nuclear Medicine, Fujian Provincial Key Laboratory of Precision Medicine for Cancer, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
  • Jingsong Li
    Research Center for Healthcare Data Science, Zhejiang Lab, Hangzhou, China.
  • Michael A King
  • Wentao Zhu
    Department of Computer Science, University of California, Irvine, CA, USA.

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