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Conference Paper: Tracking Lumbar Vertebrae in Digital Videofluoroscopic Video Automatically

TitleTracking Lumbar Vertebrae in Digital Videofluoroscopic Video Automatically
Authors
KeywordsMotion tracking
Spinal motion analysis
Issue Date2004
PublisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/
Citation
The International Workshop on Medical Imaging and Augmented Reality (MIAR 2004), Beijing, China, 19-20 August 2004. In Lecture Notes in Computer Science, 2004, v. 3150, p. 154-162 How to Cite?
AbstractLow back pain becomes one of the significant problem in the industrialized world. Efficient and effective spinal motion analysis is required to understand low back pain and to aid the diagnosis. Videofluoroscopy provides a cost effective way for such analysis. However, common approaches are tedious and time consuming due to the low quality of the images. Physicians have to extract the vertebrae manually in most cases and thus continuous motion analysis is hardly achieved. In this paper, we propose a system which can perform automatic vertebrae segmentation and tracking. Operators need to define exact location of landmarks in the first frame only. The proposed system will continuously learn the texture pattern along the edge and the dynamics of the vertebrae in the remaining frames. The system can estimate the location of the vertebrae based on the learnt texture and dynamics throughout the sequence. Experimental results show that the proposed system can segment vertebrae from videofluoroscopic images automatically and accurately. © Springer-Verlag 2004.
Persistent Identifierhttp://hdl.handle.net/10722/103501
ISSN
2005 Impact Factor: 0.402
2015 SCImago Journal Rankings: 0.252
References

 

DC FieldValueLanguage
dc.contributor.authorWong, SFen_HK
dc.contributor.authorWong, KYKen_HK
dc.contributor.authorKris Wong, WNen_HK
dc.contributor.authorJohn Leong, CYen_HK
dc.contributor.authorKeith Luk, DKen_HK
dc.date.accessioned2010-09-25T21:15:05Z-
dc.date.available2010-09-25T21:15:05Z-
dc.date.issued2004en_HK
dc.identifier.citationThe International Workshop on Medical Imaging and Augmented Reality (MIAR 2004), Beijing, China, 19-20 August 2004. In Lecture Notes in Computer Science, 2004, v. 3150, p. 154-162en_HK
dc.identifier.issn0302-9743en_HK
dc.identifier.urihttp://hdl.handle.net/10722/103501-
dc.description.abstractLow back pain becomes one of the significant problem in the industrialized world. Efficient and effective spinal motion analysis is required to understand low back pain and to aid the diagnosis. Videofluoroscopy provides a cost effective way for such analysis. However, common approaches are tedious and time consuming due to the low quality of the images. Physicians have to extract the vertebrae manually in most cases and thus continuous motion analysis is hardly achieved. In this paper, we propose a system which can perform automatic vertebrae segmentation and tracking. Operators need to define exact location of landmarks in the first frame only. The proposed system will continuously learn the texture pattern along the edge and the dynamics of the vertebrae in the remaining frames. The system can estimate the location of the vertebrae based on the learnt texture and dynamics throughout the sequence. Experimental results show that the proposed system can segment vertebrae from videofluoroscopic images automatically and accurately. © Springer-Verlag 2004.en_HK
dc.languageengen_HK
dc.publisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/en_HK
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rightsThe original publication is available at www.springerlink.com-
dc.subjectMotion trackingen_HK
dc.subjectSpinal motion analysisen_HK
dc.titleTracking Lumbar Vertebrae in Digital Videofluoroscopic Video Automaticallyen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0302-9743&volume=3150&spage=154&epage=162&date=2004&atitle=Tracking+lumbar+vertebrae+in+digital+videofluoroscopic+video+automatically-
dc.identifier.emailKeith Luk, DK:hcm21000@hku.hken_HK
dc.identifier.authorityKeith Luk, DK=rp00333en_HK
dc.description.naturepostprint-
dc.identifier.scopuseid_2-s2.0-35048889783en_HK
dc.identifier.hkuros96728en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-35048889783&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume3150en_HK
dc.identifier.spage154en_HK
dc.identifier.epage162en_HK
dc.publisher.placeGermanyen_HK
dc.description.otherThe International Workshop on Medical Imaging and Augmented Reality (MIAR 2004), Beijing, China, 19-20 August 2004. In Lecture Notes in Computer Science, 2004, v. 3150, p. 154-162-
dc.identifier.scopusauthoridWong, SF=22236051500en_HK
dc.identifier.scopusauthoridWong, KYK=13310164400en_HK
dc.identifier.scopusauthoridKris Wong, WN=22333874000en_HK
dc.identifier.scopusauthoridJohn Leong, CY=22334190100en_HK

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