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Conference Paper: Segmenting lumbar vertebrae in digital video fluoroscopic images through edge enhancement

TitleSegmenting lumbar vertebrae in digital video fluoroscopic images through edge enhancement
Authors
Issue Date2004
PublisherIEEE.
Citation
2004 8Th International Conference On Control, Automation, Robotics And Vision (Icarcv), 2004, v. 1, p. 665-670 How to Cite?
AbstractVideo fluoroscopy provides a cost effective way for the diagnosis of low back pain. Backbones or vertebrae are usually segmented manually from fluoroscopic images of low quality during such a diagnosis. In this paper, we try to reduce human workload by performing automatic vertebrae detection and segmentation. Operators need to provide the rough location of landmarks only. The proposed algorithm will perform edge detection, which is based on pattern recognition of texture, along the snake formed from the landmarks. The snake will then attach to the edge detected. Experimental results show that the proposed system can segment vertebrae from video fluoroscopic image automatically and accurately. © 2004 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/146194
ISBN
References

 

DC FieldValueLanguage
dc.contributor.authorWong, SFen_HK
dc.contributor.authorWong, KYKen_HK
dc.date.accessioned2012-04-03T08:12:19Z-
dc.date.available2012-04-03T08:12:19Z-
dc.date.issued2004en_HK
dc.identifier.citation2004 8Th International Conference On Control, Automation, Robotics And Vision (Icarcv), 2004, v. 1, p. 665-670en_HK
dc.identifier.isbn0-7803-8653-1-
dc.identifier.urihttp://hdl.handle.net/10722/146194-
dc.description.abstractVideo fluoroscopy provides a cost effective way for the diagnosis of low back pain. Backbones or vertebrae are usually segmented manually from fluoroscopic images of low quality during such a diagnosis. In this paper, we try to reduce human workload by performing automatic vertebrae detection and segmentation. Operators need to provide the rough location of landmarks only. The proposed algorithm will perform edge detection, which is based on pattern recognition of texture, along the snake formed from the landmarks. The snake will then attach to the edge detected. Experimental results show that the proposed system can segment vertebrae from video fluoroscopic image automatically and accurately. © 2004 IEEE.en_HK
dc.languageeng-
dc.publisherIEEE.-
dc.relation.ispartof2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV)en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleSegmenting lumbar vertebrae in digital video fluoroscopic images through edge enhancementen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailWong, KYK:kykwong@cs.hku.hken_HK
dc.identifier.authorityWong, KYK=rp01393en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ICARCV.2004.1468906-
dc.identifier.scopuseid_2-s2.0-21244495602en_HK
dc.identifier.hkuros96735-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-21244495602&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume1en_HK
dc.identifier.spage665en_HK
dc.identifier.epage670en_HK
dc.publisher.placeUnited States-
dc.identifier.scopusauthoridWong, SF=22236051500en_HK
dc.identifier.scopusauthoridWong, KYK=24402187900en_HK

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