A novel approach for detection of muscle boundary in ultrasound images

Xin Chen; Yongping Zheng; Jinyi Guo; Zhenyu Zhu; Shing Chow Chan; Zhiguo Zhang

doi:10.1109/BMEI.2011.6098282

A novel approach for detection of muscle boundary in ultrasound images

Xin Chen, Yongping Zheng, Jinyi Guo, Zhenyu Zhu, Shing Chow Chan, Zhiguo Zhang

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

2 Citations (Scopus)

Abstract

Muscle functions are closely related to the architectural characteristics which can be investigated in vivo by ultrasonography. However, it is a challenging problem to automatically extract the architectural parameters, such as cross-sectional area (CSA), from the ultrasound images. In this study, a novel algorithm was proposed to automatically detect the muscle boundary and compute the continuous CSA change from the image sequence. This algorithm was then applied to study the in vivo behavior of the rectus femoris (RF) muscle during isometric contraction. The results showed that the algorithm was highly reliable, and it can provide the information about the muscle contraction from the morphological aspect with high temporal resolution.

Original language	English
Title of host publication	Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
Pages	56-59
Number of pages	4
Volume	1
DOIs	https://doi.org/10.1109/BMEI.2011.6098282
Publication status	Published - 1 Dec 2011
Event	2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011 - Shanghai, China Duration: 15 Oct 2011 → 17 Oct 2011

Conference

Conference	2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
Country/Territory	China
City	Shanghai
Period	15/10/11 → 17/10/11

Keywords

cross-sectional area
isometric contraction
muscle boundary
ultrasonography

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management

More information

10.1109/BMEI.2011.6098282

Cite this

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title = "A novel approach for detection of muscle boundary in ultrasound images",

abstract = "Muscle functions are closely related to the architectural characteristics which can be investigated in vivo by ultrasonography. However, it is a challenging problem to automatically extract the architectural parameters, such as cross-sectional area (CSA), from the ultrasound images. In this study, a novel algorithm was proposed to automatically detect the muscle boundary and compute the continuous CSA change from the image sequence. This algorithm was then applied to study the in vivo behavior of the rectus femoris (RF) muscle during isometric contraction. The results showed that the algorithm was highly reliable, and it can provide the information about the muscle contraction from the morphological aspect with high temporal resolution.",

keywords = "cross-sectional area, isometric contraction, muscle boundary, ultrasonography",

author = "Xin Chen and Yongping Zheng and Jinyi Guo and Zhenyu Zhu and Chan, {Shing Chow} and Zhiguo Zhang",

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Chen, X, Zheng, Y, Guo, J, Zhu, Z, Chan, SC & Zhang, Z 2011, A novel approach for detection of muscle boundary in ultrasound images. in Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011. vol. 1, 6098282, pp. 56-59, 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011, Shanghai, China, 15/10/11. https://doi.org/10.1109/BMEI.2011.6098282

A novel approach for detection of muscle boundary in ultrasound images. / Chen, Xin; Zheng, Yongping; Guo, Jinyi et al.
Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011. Vol. 1 2011. p. 56-59 6098282.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - A novel approach for detection of muscle boundary in ultrasound images

AU - Chen, Xin

AU - Zheng, Yongping

AU - Guo, Jinyi

AU - Zhu, Zhenyu

AU - Chan, Shing Chow

AU - Zhang, Zhiguo

PY - 2011/12/1

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AB - Muscle functions are closely related to the architectural characteristics which can be investigated in vivo by ultrasonography. However, it is a challenging problem to automatically extract the architectural parameters, such as cross-sectional area (CSA), from the ultrasound images. In this study, a novel algorithm was proposed to automatically detect the muscle boundary and compute the continuous CSA change from the image sequence. This algorithm was then applied to study the in vivo behavior of the rectus femoris (RF) muscle during isometric contraction. The results showed that the algorithm was highly reliable, and it can provide the information about the muscle contraction from the morphological aspect with high temporal resolution.

KW - cross-sectional area

KW - isometric contraction

KW - muscle boundary

KW - ultrasonography

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M3 - Conference article published in proceeding or book

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EP - 59

BT - Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011

T2 - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011

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ER -

A novel approach for detection of muscle boundary in ultrasound images

Abstract

Conference

Keywords

ASJC Scopus subject areas

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