Detection of degenerative change in lateral projection cervical spine x-ray images

Beyrem Jebri; Michael Phillips; Karen Knapp; Andy Appelboam; Adam Reuben; Greg Slabaugh

doi:10.1117/12.2082515

20 March 2015 Detection of degenerative change in lateral projection cervical spine x-ray images

Beyrem Jebri, Michael Phillips, Karen Knapp, Andy Appelboam, Adam Reuben, Greg Slabaugh

Proceedings Volume 9414, Medical Imaging 2015: Computer-Aided Diagnosis; 941404 (2015) https://doi.org/10.1117/12.2082515
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

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.

Citation Download Citation

Beyrem Jebri, Michael Phillips, Karen Knapp, Andy Appelboam, Adam Reuben, and 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); https://doi.org/10.1117/12.2082515

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