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 proceedingConference article published in proceeding or bookAcademic researchpeer-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 languageEnglish
Title of host publicationProceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
Pages56-59
Number of pages4
Volume1
DOIs
Publication statusPublished - 1 Dec 2011
Event2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011 - Shanghai, China
Duration: 15 Oct 201117 Oct 2011

Conference

Conference2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
CountryChina
CityShanghai
Period15/10/1117/10/11

Keywords

  • cross-sectional area
  • isometric contraction
  • muscle boundary
  • ultrasonography

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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