Unsupervised Learning-Based Measurement of Ultrasonic Axial Transmission Velocity in Neonatal Bone.

Journal: Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
PMID: 38873702

Abstract

OBJECTIVES: To develop a robust algorithm for estimating ultrasonic axial transmission velocity from neonatal tibial bone, and to investigate the relationships between ultrasound velocity and neonatal anthropometric measurements as well as clinical biochemical markers of skeletal health.

Authors

  • Qing Li
    Department of Internal Medicine, University of Michigan Ann Arbor, MI 48109, USA.
  • Tho N H T Tran
    Institute of Biomedical Engineering and Technology, Academy for Engineering and Technology, Fudan University, Shanghai, China.
  • Jialin Guo
    Department of Neonatology, Shanghai First Maternity and Infant Hospital, Shanghai, China.
  • Boyi Li
    Academy for Engineering and Technology, Fudan University, Shanghai, China.
  • Kailiang Xu
    School of Automation and Information Engineering, Xi'an University of Technology, Xi'an, Shaanxi, China.
  • Lawrence H Le
  • Dean Ta

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