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BioMed Research International
Volume 2018 (2018), Article ID 3697835, 12 pages
https://doi.org/10.1155/2018/3697835
Research Article

Automatic Myotendinous Junction Tracking in Ultrasound Images with Phase-Based Segmentation

1School of Biological Science and Medical Engineering, Southeast University, Nanjing, China
2National Demonstration Center for Experimental Biomedical Engineering Education, Southeast University, Nanjing, China
3Department of Women’s and Children’s Health, Karolinska Institute, Stockholm, Sweden
4BioMEX Center and Department of Mechanics, Royal Institute of Technology, Stockholm, Sweden
5Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
6The Swedish School of Sport and Health Sciences, Stockholm, Sweden
7Department of Clinical Intervention and Technology, Karolinska Institute, Stockholm, Sweden

Correspondence should be addressed to Guang-Quan Zhou; nc.ude.ues@uohz.nauqgnaug

Received 31 August 2017; Revised 29 January 2018; Accepted 18 February 2018; Published 19 March 2018

Academic Editor: Cristiana Corsi

Copyright © 2018 Guang-Quan Zhou et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Guang-Quan Zhou, Yi Zhang, Ruo-Li Wang, et al., “Automatic Myotendinous Junction Tracking in Ultrasound Images with Phase-Based Segmentation,” BioMed Research International, vol. 2018, Article ID 3697835, 12 pages, 2018. doi:10.1155/2018/3697835