Real-time detection of muscle thickness changes during isometric contraction from ultrasonography: A feasibility study

Jizhou Li, Yi Lu, Jing Yi Guo, Yongjin Zhou, Yongping Zheng

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Ultrasonography is a convenient and widely-used technique to look into the muscle contraction as it is non-invasive and real-time. Muscle thickness has been investigated in many aspects and for various purposes. However, there are few studies on automatic estimation of changes of muscle thickness in cross-sectional plane during contraction. In this study we proposed a coarse-to-fine method based on compressive tracking algorithm for real-time estimation of muscle thickness during isometric contraction on ultrasound images. The real-time performance and precision are investigated with data from quadriceps muscle in five subjects. The detection results were compared with those obtained from both cross-correlation algorithm and manual measurement. It is shown that the proposed method agrees well with the manual measurement and outperforms the cross-correlation method in the sense of both accuracy and computation cost.
Original languageEnglish
Title of host publicationICCH 2012 Proceedings - International Conference on Computerized Healthcare
PublisherIEEE Computer Society
Pages75-79
Number of pages5
ISBN (Print)9781467351294
DOIs
Publication statusPublished - 1 Jan 2012
Event2012 International Conference on Computerized Healthcare, ICCH 2012 - Hong Kong, Hong Kong
Duration: 17 Dec 201218 Dec 2012

Conference

Conference2012 International Conference on Computerized Healthcare, ICCH 2012
CountryHong Kong
CityHong Kong
Period17/12/1218/12/12

ASJC Scopus subject areas

  • Health Informatics

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