Automatic Myocardial Contrast Echocardiography Image Quality Assessment Using Deep Learning: Impact on Myocardial Perfusion Evaluation.

Journal: Ultrasound in medicine & biology
PMID: 37495498

Abstract

OBJECTIVE: The image quality of myocardial contrast echocardiography (MCE) is critical for precise myocardial perfusion evaluation but challenging for echocardiographers. Differences in quality may lead to diagnostic heterogeneity. This study was aimed at achieving automatic MCE image quality assessment using a deep neural network (DNN) and investigating its impact on myocardial perfusion evaluation.

Authors

  • Mingqi Li
    Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China.
  • Dewen Zeng
    Huazhong University of Science and Technology, Wuhan, People's Republic of China.
  • Hongwen Fei
    Department of Cardiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong Province, China.
  • Hongning Song
    Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, China.
  • Jinling Chen
    Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, China.
  • Sheng Cao
    Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, China.
  • Bo Hu
    Department of Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
  • Yanxiang Zhou
    Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, China.
  • Yuxin Guo
    Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, China.
  • Xiaowei Xu
    Department of Information Science, University of Arkansas, Little Rock, Arkansas, United States of America.
  • Kui Huang
    Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, China.
  • Ji Zhang
    Department of Neurology, Xiangya Hospital, Central South University, Jiangxi, Nanchang, 330006, Jiangxi, China.
  • Qing Zhou
    Cardiac MR PET CT Program, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.

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