Real-Time Automated Segmentation of Median Nerve in Dynamic Ultrasonography Using Deep Learning.

Journal: Ultrasound in medicine & biology
PMID: 36740461

Abstract

OBJECTIVE: The morphological dynamics of the median nerve across the level extracted from dynamic ultrasonography are valuable for the diagnosis and evaluation of carpal tunnel syndrome (CTS), but the data extraction requires tremendous labor to manually segment the nerve across the image sequence. Our aim was to provide visually real-time, automated median nerve segmentation and subsequent data extraction in dynamic ultrasonography.

Authors

  • Cheng-Liang Yeh
    Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan.
  • Chueh-Hung Wu
    Department of Physical Medicine and Rehabilitation, National Taiwan University Hospital, Taipei, Taiwan; College of Medicine, National Taiwan University, Taipei, Taiwan.
  • Ming-Yen Hsiao
    Department of Physical Medicine and Rehabilitation, College of Medicine, Zhongzheng Dist., National Taiwan University, No. 7, Zhongshan S. Rd., Taipei, 100, Taiwan.
  • Po-Ling Kuo
    Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan; College of Medicine, National Taiwan University, Taipei, Taiwan; Electrical Engineering Department, National Taiwan University, Taipei, Taiwan. Electronic address: poling@ntu.edu.tw.

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