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Conference Paper: Automatic tracking measurement system on human lumbar vertebral motion

TitleAutomatic tracking measurement system on human lumbar vertebral motion
Authors
KeywordsAuto tracking
Component
Particle filter
Sequential important resampling
Spine
Vertebral body
Issue Date2009
PublisherIEEE
Citation
The 2009 IEEE International Conference on Virtual Environments, Human-Computer Interfaces, and Measurements Systems (VECIMS 2009), Hong Kong, 11-13 May 2009. In Conference Proceedings, 2009, p. 43-46 How to Cite?
AbstractAn automated tracking system was developed to measure the flexion-extension motion of lumbar vertebrae using the algorithm of Sequential Important Resampling Particle Filter. In vitro validity was performed in 10 samples under digitized video fluoroscopy. Each sample was taken 2 full flexion-extension cycles under a special guide device in fixed speed, while the calibration model of lumbar vertebrae was fixed on a metal base. The trajectories are recorded by real-time depiction of the vertebral body with rigid fixation pens when the digitized video fluoroscopy collection is finished. A special system that can perform automatic tracking on the motion of lumbar vertebrae was developed. Reliability of the measurement was evaluated by a saw bone model experiment. In comparing with real-time motion recording, the correlation coefficient of test-retest and the accuracy were calculated, which showed satisfactory stability and consistency. The results suggested this new developed automatic tracking system could be a reliable tool to monitor the dynamic lumbar motion; to analyze the translation and rotational angle of vertebral from video-fluoroscopic images automatically and accurately. The proposed system may have a potential value in the evaluation of spinal medical application.
Persistent Identifierhttp://hdl.handle.net/10722/62484
ISBN
ISSN
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhang, YYen_HK
dc.contributor.authorXie, XBen_HK
dc.contributor.authorCui, HYen_HK
dc.contributor.authorHu, Yen_HK
dc.contributor.authorSui, FGen_HK
dc.contributor.authorZhao, LFen_HK
dc.contributor.authorWang, DJen_HK
dc.date.accessioned2010-07-13T04:02:22Z-
dc.date.available2010-07-13T04:02:22Z-
dc.date.issued2009en_HK
dc.identifier.citationThe 2009 IEEE International Conference on Virtual Environments, Human-Computer Interfaces, and Measurements Systems (VECIMS 2009), Hong Kong, 11-13 May 2009. In Conference Proceedings, 2009, p. 43-46-
dc.identifier.isbn978-1-4244-3808-2-
dc.identifier.issn1944-9410-
dc.identifier.urihttp://hdl.handle.net/10722/62484-
dc.description.abstractAn automated tracking system was developed to measure the flexion-extension motion of lumbar vertebrae using the algorithm of Sequential Important Resampling Particle Filter. In vitro validity was performed in 10 samples under digitized video fluoroscopy. Each sample was taken 2 full flexion-extension cycles under a special guide device in fixed speed, while the calibration model of lumbar vertebrae was fixed on a metal base. The trajectories are recorded by real-time depiction of the vertebral body with rigid fixation pens when the digitized video fluoroscopy collection is finished. A special system that can perform automatic tracking on the motion of lumbar vertebrae was developed. Reliability of the measurement was evaluated by a saw bone model experiment. In comparing with real-time motion recording, the correlation coefficient of test-retest and the accuracy were calculated, which showed satisfactory stability and consistency. The results suggested this new developed automatic tracking system could be a reliable tool to monitor the dynamic lumbar motion; to analyze the translation and rotational angle of vertebral from video-fluoroscopic images automatically and accurately. The proposed system may have a potential value in the evaluation of spinal medical application.-
dc.languageengen_HK
dc.publisherIEEE-
dc.relation.ispartofProceedings of the IEEE-VECIMS 2009-
dc.subjectAuto tracking-
dc.subjectComponent-
dc.subjectParticle filter-
dc.subjectSequential important resampling-
dc.subjectSpine-
dc.subjectVertebral body-
dc.titleAutomatic tracking measurement system on human lumbar vertebral motionen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailHu, Y: yhud@HKUCC.hku.hken_HK
dc.identifier.authorityHu, Y=rp00432en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/VECIMS.2009.5068863-
dc.identifier.scopuseid_2-s2.0-70350008088-
dc.identifier.hkuros159906en_HK
dc.identifier.isiWOS:000270760700009-
dc.customcontrol.immutablesml 170512 amended-
dc.identifier.issnl1944-9410-

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