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Conference Paper: A novel approach for detection of muscle boundary in ultrasound images

TitleA novel approach for detection of muscle boundary in ultrasound images
Authors
Chen, XZheng, YPGuo, JZhu, ZChan, SCZhang, Z
KeywordsCross-Sectional Area
Isometric Contraction
Muscle Boundary
Ultrasonography
Issue Date2011
Citation
Proceedings - 2011 4Th International Conference On Biomedical Engineering And Informatics, Bmei 2011, 2011, v. 1, p. 56-59 How to Cite?
DOI: http://dx.doi.org/10.1109/BMEI.2011.6098282
AbstractMuscle 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. © 2011 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/158771
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorChen, Xen_US
dc.contributor.authorZheng, YPen_US
dc.contributor.authorGuo, Jen_US
dc.contributor.authorZhu, Zen_US
dc.contributor.authorChan, SCen_US
dc.contributor.authorZhang, Zen_US
dc.date.accessioned2012-08-08T09:01:15Z-
dc.date.available2012-08-08T09:01:15Z-
dc.date.issued2011en_US
dc.identifier.citationProceedings - 2011 4Th International Conference On Biomedical Engineering And Informatics, Bmei 2011, 2011, v. 1, p. 56-59en_US
dc.identifier.urihttp://hdl.handle.net/10722/158771-
dc.description.abstractMuscle 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. © 2011 IEEE.en_US
dc.languageengen_US
dc.relation.ispartofProceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011en_US
dc.subjectCross-Sectional Areaen_US
dc.subjectIsometric Contractionen_US
dc.subjectMuscle Boundaryen_US
dc.subjectUltrasonographyen_US
dc.titleA novel approach for detection of muscle boundary in ultrasound imagesen_US
dc.typeConference_Paperen_US
dc.identifier.emailChan, SC:scchan@eee.hku.hken_US
dc.identifier.emailZhang, Z:zgzhang@eee.hku.hken_US
dc.identifier.authorityChan, SC=rp00094en_US
dc.identifier.authorityZhang, Z=rp01565en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/BMEI.2011.6098282en_US
dc.identifier.scopuseid_2-s2.0-84862943074en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-84855772443&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume1en_US
dc.identifier.spage56en_US
dc.identifier.epage59en_US
dc.identifier.scopusauthoridChen, X=35304492800en_US
dc.identifier.scopusauthoridZheng, YP=35304373100en_US
dc.identifier.scopusauthoridGuo, J=8452180000en_US
dc.identifier.scopusauthoridZhu, Z=35099701000en_US
dc.identifier.scopusauthoridChan, SC=13310287100en_US
dc.identifier.scopusauthoridZhang, Z=8597618700en_US

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