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Article: Auto-tracking system for human lumbar motion analysis

TitleAuto-tracking system for human lumbar motion analysis
Authors
KeywordsAuto-tracking
digitized video fluoroscopy
lumbar spine
particle filter
spine motion
vertebral body
Issue Date2011
PublisherI O S Press. The Journal's web site is located at http://www.iospress.nl/
Citation
Journal Of X-Ray Science And Technology, 2011, v. 19 n. 2, p. 205-218 How to Cite?
Abstract
Previous lumbar motion analyses suggest the usefulness of quantitatively characterizing spine motion. However, the application of such measurements is still limited by the lack of user-friendly automatic spine motion analysis systems. This paper describes an automatic analysis system to measure lumbar spine disorders that consists of a spine motion guidance device, an X-ray imaging modality to acquire digitized video fluoroscopy (DVF) sequences and an automated tracking module with a graphical user interface (GUI). DVF sequences of the lumbar spine are recorded during flexion-extension under a guidance device. The automatic tracking software utilizing a particle filter locates the vertebra-of-interest in every frame of the sequence, and the tracking result is displayed on the GUI. Kinematic parameters are also extracted from the tracking results for motion analysis. We observed that, in a bone model test, the maximum fiducial error was 3.7%, and the maximum repeatability error in translation and rotation was 1.2% and 2.6%, respectively. In our simulated DVF sequence study, the automatic tracking was not successful when the noise intensity was greater than 0.50. In a noisy situation, the maximal difference was 1.3 mm in translation and 1° in the rotation angle. The errors were calculated in translation (fiducial error: 2.4%, repeatability error: 0.5%) and in the rotation angle (fiducial error: 1.0%, repeatability error: 0.7%). However, the automatic tracking software could successfully track simulated sequences contaminated by noise at a density ≤ 0.5 with very high accuracy, providing good reliability and robustness. A clinical trial with 10 healthy subjects and 2 lumbar spondylolisthesis patients were enrolled in this study. The measurement with auto-tacking of DVF provided some information not seen in the conventional X-ray. The results proposed the potential use of the proposed system for clinical applications. © 2011 - IOS Press and the authors. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/135312
ISSN
2013 Impact Factor: 1.462
ISI Accession Number ID
Funding AgencyGrant Number
Institute of Biomedical Engineering of Perking Union Medical College
Chinese Academy of Medical Sciences
Daqing Petroleum Administrative Bureau
Funding Information:

This work was supported in part by Institute of Biomedical Engineering of Perking Union Medical College and Chinese Academy of Medical Sciences and Daqing Petroleum Administrative Bureau. The authors thank Dr Xueming Wang for assistance in the process of tailor-made guide device and Miss Anna Lee for the language editing.

References

 

DC FieldValueLanguage
dc.contributor.authorSui, Fen_HK
dc.contributor.authorZhang, Den_HK
dc.contributor.authorLam, SCBen_HK
dc.contributor.authorZhao, Len_HK
dc.contributor.authorWang, Den_HK
dc.contributor.authorBi, Zen_HK
dc.contributor.authorHu, Yen_HK
dc.date.accessioned2011-07-27T01:33:11Z-
dc.date.available2011-07-27T01:33:11Z-
dc.date.issued2011en_HK
dc.identifier.citationJournal Of X-Ray Science And Technology, 2011, v. 19 n. 2, p. 205-218en_HK
dc.identifier.issn0895-3996en_HK
dc.identifier.urihttp://hdl.handle.net/10722/135312-
dc.description.abstractPrevious lumbar motion analyses suggest the usefulness of quantitatively characterizing spine motion. However, the application of such measurements is still limited by the lack of user-friendly automatic spine motion analysis systems. This paper describes an automatic analysis system to measure lumbar spine disorders that consists of a spine motion guidance device, an X-ray imaging modality to acquire digitized video fluoroscopy (DVF) sequences and an automated tracking module with a graphical user interface (GUI). DVF sequences of the lumbar spine are recorded during flexion-extension under a guidance device. The automatic tracking software utilizing a particle filter locates the vertebra-of-interest in every frame of the sequence, and the tracking result is displayed on the GUI. Kinematic parameters are also extracted from the tracking results for motion analysis. We observed that, in a bone model test, the maximum fiducial error was 3.7%, and the maximum repeatability error in translation and rotation was 1.2% and 2.6%, respectively. In our simulated DVF sequence study, the automatic tracking was not successful when the noise intensity was greater than 0.50. In a noisy situation, the maximal difference was 1.3 mm in translation and 1° in the rotation angle. The errors were calculated in translation (fiducial error: 2.4%, repeatability error: 0.5%) and in the rotation angle (fiducial error: 1.0%, repeatability error: 0.7%). However, the automatic tracking software could successfully track simulated sequences contaminated by noise at a density ≤ 0.5 with very high accuracy, providing good reliability and robustness. A clinical trial with 10 healthy subjects and 2 lumbar spondylolisthesis patients were enrolled in this study. The measurement with auto-tacking of DVF provided some information not seen in the conventional X-ray. The results proposed the potential use of the proposed system for clinical applications. © 2011 - IOS Press and the authors. All rights reserved.en_HK
dc.languageengen_US
dc.publisherI O S Press. The Journal's web site is located at http://www.iospress.nl/en_HK
dc.relation.ispartofJournal of X-Ray Science and Technologyen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectAuto-trackingen_HK
dc.subjectdigitized video fluoroscopyen_HK
dc.subjectlumbar spineen_HK
dc.subjectparticle filteren_HK
dc.subjectspine motionen_HK
dc.subjectvertebral bodyen_HK
dc.subject.meshAngiography, Digital Subtraction - instrumentation-
dc.subject.meshFluoroscopy - instrumentation-
dc.subject.meshLumbar Vertebrae - pathology - physiopathology-
dc.subject.meshMovement - physiology-
dc.subject.meshSpinal Diseases - physiopathology - radiography-
dc.titleAuto-tracking system for human lumbar motion analysisen_HK
dc.typeArticleen_HK
dc.identifier.emailHu, Y:yhud@hku.hken_HK
dc.identifier.authorityHu, Y=rp00432en_HK
dc.description.naturepostprint-
dc.identifier.doi10.3233/XST-2011-0287en_HK
dc.identifier.pmid21606583-
dc.identifier.scopuseid_2-s2.0-79959260406en_HK
dc.identifier.hkuros189056en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-79959260406&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume19en_HK
dc.identifier.issue2en_HK
dc.identifier.spage205en_HK
dc.identifier.epage218en_HK
dc.identifier.isiWOS:000292735700005-
dc.publisher.placeNetherlandsen_HK
dc.identifier.scopusauthoridSui, F=35095626900en_HK
dc.identifier.scopusauthoridZhang, D=42162390700en_HK
dc.identifier.scopusauthoridLam, SCB=24449254700en_HK
dc.identifier.scopusauthoridZhao, L=35112003200en_HK
dc.identifier.scopusauthoridWang, D=35111825000en_HK
dc.identifier.scopusauthoridBi, Z=7102348541en_HK
dc.identifier.scopusauthoridHu, Y=7407116091en_HK

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