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Proceedings Paper

Automated quantification of lumbar vertebral kinematics from dynamic fluoroscopic sequences
Author(s): Jon Camp; Kristin Zhao; Etienne Morel; Dan White; Dixon Magnuson; Ralph Gay; Kai-Nan An; Richard Robb
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Paper Abstract

We hypothesize that the vertebra-to-vertebra patterns of spinal flexion and extension motion of persons with lower back pain will differ from those of persons who are pain-free. Thus, it is our goal to measure the motion of individual lumbar vertebrae noninvasively from dynamic fluoroscopic sequences. Two-dimensional normalized mutual information-based image registration was used to track frame-to-frame motion. Software was developed that required the operator to identify each vertebra on the first frame of the sequence using a four-point "caliper" placed at the posterior and anterior edges of the inferior and superior end plates of the target vertebrae. The program then resolved the individual motions of each vertebra independently throughout the entire sequence. To validate the technique, 6 cadaveric lumbar spine specimens were potted in polymethylmethacrylate and instrumented with optoelectric sensors. The specimens were then placed in a custom dynamic spine simulator and moved through flexion-extension cycles while kinematic data and fluoroscopic sequences were simultaneously acquired. We found strong correlation between the absolute flexionextension range of motion of each vertebra as recorded by the optoelectric system and as determined from the fluoroscopic sequence via registration. We conclude that this method is a viable way of noninvasively assessing twodimensional vertebral motion.

Paper Details

Date Published: 27 February 2009
PDF: 10 pages
Proc. SPIE 7260, Medical Imaging 2009: Computer-Aided Diagnosis, 72603M (27 February 2009); doi: 10.1117/12.811405
Show Author Affiliations
Jon Camp, Mayo Clinic (United States)
Kristin Zhao, Mayo Clinic (United States)
Etienne Morel, Mayo Clinic (United States)
Dan White, Mayo Clinic (United States)
Dixon Magnuson, Mayo Clinic (United States)
Ralph Gay, Mayo Clinic (United States)
Kai-Nan An, Mayo Clinic (United States)
Richard Robb, Mayo Clinic (United States)


Published in SPIE Proceedings Vol. 7260:
Medical Imaging 2009: Computer-Aided Diagnosis
Nico Karssemeijer; Maryellen L. Giger, Editor(s)

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