20 March 2015 Detection of degenerative change in lateral projection cervical spine x-ray images
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Abstract
Degenerative changes to the cervical spine can be accompanied by neck pain, which can result from narrowing of the intervertebral disc space and growth of osteophytes. In a lateral x-ray image of the cervical spine, degenerative changes are characterized by vertebral bodies that have indistinct boundaries and limited spacing between vertebrae. In this paper, we present a machine learning approach to detect and localize degenerative changes in lateral x-ray images of the cervical spine. Starting from a user-supplied set of points in the center of each vertebral body, we fit a central spline, from which a region of interest is extracted and image features are computed. A Random Forest classifier labels regions as degenerative change or normal. Leave-one-out cross-validation studies performed on a dataset of 103 patients demonstrates performance of above 95% accuracy.
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Beyrem Jebri, Michael Phillips, Karen Knapp, Andy Appelboam, Adam Reuben, Greg Slabaugh, "Detection of degenerative change in lateral projection cervical spine x-ray images", Proc. SPIE 9414, Medical Imaging 2015: Computer-Aided Diagnosis, 941404 (20 March 2015); doi: 10.1117/12.2082515; https://doi.org/10.1117/12.2082515
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