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Proceedings Paper

Detection of degenerative change in lateral projection cervical spine x-ray images
Author(s): Beyrem Jebri; Michael Phillips; Karen Knapp; Andy Appelboam; Adam Reuben; Greg Slabaugh
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Paper 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.

Paper Details

Date Published: 20 March 2015
PDF: 8 pages
Proc. SPIE 9414, Medical Imaging 2015: Computer-Aided Diagnosis, 941404 (20 March 2015); doi: 10.1117/12.2082515
Show Author Affiliations
Beyrem Jebri, Ecole Nationale Superieure D'Informatique Pour L'Industrie et L'Entreprise (France)
Michael Phillips, City Univ. London (United Kingdom)
Karen Knapp, Univ. of Exeter (United Kingdom)
Andy Appelboam, Royal Devon and Exeter Hospital (United Kingdom)
Adam Reuben, Royal Devon and Exeter Hospital (United Kingdom)
Greg Slabaugh, City Univ. London (United Kingdom)

Published in SPIE Proceedings Vol. 9414:
Medical Imaging 2015: Computer-Aided Diagnosis
Lubomir M. Hadjiiski; Georgia D. Tourassi, Editor(s)

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