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Article: Auto-tracking system for human lumbar motion analysis
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TitleAuto-tracking system for human lumbar motion analysis
 
AuthorsSui, F1
Zhang, D2
Lam, SCB5
Zhao, L1
Wang, D1
Bi, Z3
Hu, Y4
 
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/
 
CitationJournal Of X-Ray Science And Technology, 2011, v. 19 n. 2, p. 205-218 [How to Cite?]
DOI: http://dx.doi.org/10.3233/XST-2011-0287
 
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.
 
ISSN0895-3996
2012 Impact Factor: 1.09
2012 SCImago Journal Rankings: 0.410
 
DOIhttp://dx.doi.org/10.3233/XST-2011-0287
 
ISI Accession Number IDWOS:000292735700005
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.

 
ReferencesReferences in Scopus
 
DC FieldValue
dc.contributor.authorSui, F
 
dc.contributor.authorZhang, D
 
dc.contributor.authorLam, SCB
 
dc.contributor.authorZhao, L
 
dc.contributor.authorWang, D
 
dc.contributor.authorBi, Z
 
dc.contributor.authorHu, Y
 
dc.date.accessioned2011-07-27T01:33:11Z
 
dc.date.available2011-07-27T01:33:11Z
 
dc.date.issued2011
 
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.
 
dc.description.naturepostprint
 
dc.identifier.citationJournal Of X-Ray Science And Technology, 2011, v. 19 n. 2, p. 205-218 [How to Cite?]
DOI: http://dx.doi.org/10.3233/XST-2011-0287
 
dc.identifier.doihttp://dx.doi.org/10.3233/XST-2011-0287
 
dc.identifier.epage218
 
dc.identifier.hkuros189056
 
dc.identifier.isiWOS:000292735700005
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.

 
dc.identifier.issn0895-3996
2012 Impact Factor: 1.09
2012 SCImago Journal Rankings: 0.410
 
dc.identifier.issue2
 
dc.identifier.pmid21606583
 
dc.identifier.scopuseid_2-s2.0-79959260406
 
dc.identifier.spage205
 
dc.identifier.urihttp://hdl.handle.net/10722/135312
 
dc.identifier.volume19
 
dc.languageeng
 
dc.publisherI O S Press. The Journal's web site is located at http://www.iospress.nl/
 
dc.publisher.placeNetherlands
 
dc.relation.ispartofJournal of X-Ray Science and Technology
 
dc.relation.referencesReferences in Scopus
 
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License
 
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.subjectAuto-tracking
 
dc.subjectdigitized video fluoroscopy
 
dc.subjectlumbar spine
 
dc.subjectparticle filter
 
dc.subjectspine motion
 
dc.subjectvertebral body
 
dc.titleAuto-tracking system for human lumbar motion analysis
 
dc.typeArticle
 
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<description.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&#176; 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 &#8804; 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. &#169; 2011 - IOS Press and the authors. All rights reserved.</description.abstract>
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Author Affiliations
  1. Longnan Hospital
  2. Daqing Youtian Gerneral Hospital Aqing
  3. Harbin Medical University
  4. The University of Hong Kong
  5. University of Pennsylvania