Real time musculoskeletal ultrasound image annotations

Hao-Yu Hung; Jyun-Ping Kao; Hsin-Yuan Chu; Chung-Ping Chen; Wen-Shiang Chen

doi:10.1117/12.3052319

31 December 2024 Real time musculoskeletal ultrasound image annotations

Hao-Yu Hung, Jyun-Ping Kao, Hsin-Yuan Chu, Chung-Ping Chen, Wen-Shiang Chen

Author Affiliations +

Proceedings Volume 13487, Optics and Photonics International Congress 2024; 134870B (2024) https://doi.org/10.1117/12.3052319
Event: Optics and Photonics International Congress, 2024, Yokohama, Japan

Abstract

Ultrasound is a commonly used tool for diagnosing musculoskeletal disorders. However, interpreting musculoskeletal ultrasound images requires significant expertise due to the complexity of the anatomical structures involved. Developing such skills typically requires extensive training and experience under professional supervision. To streamline this learning process, we have developed an automated annotation system using deep learning neural networks. This system assists in the real-time identification of anatomical structures and has been successfully adapted for clinical use, improving the interpretation of musculoskeletal ultrasound images.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Hao-Yu Hung, Jyun-Ping Kao, Hsin-Yuan Chu, Chung-Ping Chen, and Wen-Shiang Chen "Real time musculoskeletal ultrasound image annotations", Proc. SPIE 13487, Optics and Photonics International Congress 2024, 134870B (31 December 2024); https://doi.org/10.1117/12.3052319

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