A Videofluoroscopy-based Tracking Algorithm for Quantifying the Time Course of Human Intervertebral Displacements
A Videofluoroscopy-based Tracking Algorithm for Quantifying the Time Course of Human Intervertebral Displacements
Comput Methods Biomech Biomed Engin. 2017 (Mar 15): 1-9
Christian Balkovec, Jim H. Veldhuis,
John W. Baird, G. Wayne Brodland &
Stuart M. McGill
Department of Kinesiology,
University of Waterloo,
Waterloo, Canada.
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.
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