Automatic detection of A-line in lung ultrasound images using deep learning and image processing.

Journal: Medical physics
Published Date: Aug 23, 2022

Abstract

BACKGROUND: Auxiliary diagnosis and monitoring of lung diseases based on lung ultrasound (LUS) images is important clinical research. A-line is one of the most common indicators of LUS that can offer support for the assessment of lung diseases. A traditional A-line detection method mainly relies on experienced clinicians, which is inefficient and cannot meet the needs of these areas with backward medical level. Therefore, how to realize the automatic detection of A-line in LUS image is important.

Authors

  • Wenyu Xing
    Center for Biomedical Engineering, School of Information Science and Technology, Fudan University, Shanghai 200438, China; Human Phenome Institute, Fudan University, Shanghai 200438, China.
  • Guannan Li
    National Clinical Research Center for Obstetrics and Gynaecology, Cancer Biology Research Centre (Key Laboratory of the Ministry of Education) and Department of Gynaecology and Obstetrics, Tongji Hospital, Wuhan, China.
  • Chao He
    Department of Plant Protection, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, PR China.
  • Qiming Huang
    School of Advanced Computing and Artificial Intelligence, Xi'an Jiaotong-liverpool University, Suzhou, China.
  • Xulei Cui
    Department of Anesthesiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
  • Qingli Li
  • Wenfang Li
  • Jiangang Chen
  • Dean Ta

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