IDEAS home Printed from https://ideas.repec.org/a/taf/gcmbxx/v20y2017i7p794-802.html
   My bibliography  Save this article

A videofluoroscopy-based tracking algorithm for quantifying the time course of human intervertebral displacements

Author

Listed:
  • Christian Balkovec
  • Jim H. Veldhuis
  • John W. Baird
  • G. Wayne Brodland
  • Stuart M. McGill

Abstract

The motions of individual intervertebral joints can affect spine motion, injury risk, deterioration, pain, treatment strategies, and clinical outcomes. Since standard kinematic methods do not provide precise time-course details about individual vertebrae and intervertebral motions, information that could be useful for scientific advancement and clinical assessment, we developed an iterative template matching algorithm to obtain this data from videofluoroscopy images. To assess the bias of our approach, vertebrae in an intact porcine spine were tracked and compared to the motions of high-contrast markers. To estimate precision under clinical conditions, motions of three human cervical spines were tracked independently ten times and vertebral and intervertebral motions associated with individual trials were compared to corresponding averages. Both tests produced errors in intervertebral angular and shear displacements no greater than 0.4° and 0.055 mm, respectively. When applied to two patient cases, aberrant intervertebral motions in the cervical spine were typically found to correlate with patient-specific anatomical features such as disc height loss and osteophytes. The case studies suggest that intervertebral kinematic time-course data could have value in clinical assessments, lead to broader understanding of how specific anatomical features influence joint motions, and in due course inform clinical treatments.

Suggested Citation

  • Christian Balkovec & Jim H. Veldhuis & John W. Baird & G. Wayne Brodland & Stuart M. McGill, 2017. "A videofluoroscopy-based tracking algorithm for quantifying the time course of human intervertebral displacements," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 20(7), pages 794-802, May.
    • Handle: RePEc:taf:gcmbxx:v:20:y:2017:i:7:p:794-802
    DOI: 10.1080/10255842.2017.1302435
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10255842.2017.1302435
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/10255842.2017.1302435?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Alexander Wong & Nadine M. Dunk & Jack P. Callaghan, 2009. "A systematic approach to feature tracking of lumbar spine vertebrae from fluoroscopic images using complex-valued wavelets," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 12(5), pages 607-616.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      More about this item

      Statistics

      Access and download statistics

      Corrections

      All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:gcmbxx:v:20:y:2017:i:7:p:794-802. See general information about how to correct material in RePEc.

      If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

      If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

      For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/gcmb .

      Please note that corrections may take a couple of weeks to filter through the various RePEc services.

      IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.