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Automatic hyoid bone detection in fluoroscopic images using deep learning.

Zhenwei Zhang1, James L Coyle2, Ervin Sejdić3

  • 1Department of Electrical and Computer Engineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, 15261, USA.

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This summary is machine-generated.

This study introduces an automatic method for tracking hyoid bone displacement during swallowing using a deep learning model. The system accurately detects hyoid bone location, aiding dysphagia research and diagnosis.

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Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Computational Neuroscience

Background:

  • Hyoid bone displacement is crucial for assessing swallowing function.
  • Current methods rely on manual, time-consuming frame-by-frame analysis by experts.
  • Accurate hyoid bone tracking is essential for dysphagia research and diagnosis.

Purpose of the Study:

  • To develop an automated system for localizing the hyoid bone in video sequences.
  • To improve the efficiency and accuracy of hyoid bone motion analysis in swallowing studies.
  • To provide a reliable tool for dysphagia research and clinical diagnosis.

Main Methods:

  • A deep convolutional neural network, specifically a single shot multibox detector, was employed for automatic hyoid bone detection.
  • The proposed method was evaluated against two other state-of-the-art detection algorithms.
  • Performance was assessed based on detection accuracy and precision.

Main Results:

  • The single shot multibox detector achieved an average precision of 89.14% in detecting the hyoid bone.
  • The automated system significantly outperformed other auto-detection algorithms.
  • The developed method demonstrated high accuracy in localizing hyoid bone position.

Conclusions:

  • The automated hyoid bone tracking system is accurate and reliable for dysphagia research.
  • This system can serve as an effective pre-processing step for image analysis in swallowing studies.
  • The technology shows promise for improving the clinical diagnosis of dysphagia.