Image Analysis Techniques for the Automated Evaluation of Subaxial Subluxation in Cervical Spine X-ray Images

Authors:
R. Joe Stanley;Santhosh Seetharaman;L. Rodney Long;Sameer Antani;George Thoma;Edward Downey
Affiliations:
University of Missouri-Rolla;University of Missouri-Rolla;National Library of Medicine, Bethesda, MD;National Library of Medicine, Bethesda, MD;National Library of Medicine, Bethesda, MD;Palmaris Imaging, Chesterfield, MO
Venue:
CBMS '04 Proceedings of the 17th IEEE Symposium on Computer-Based Medical Systems
Year:
2004

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Abstract

Rheumatoid arthritis is a chronic inflammatory disease affecting synovial joints of the body,especially the hands and feet, spine, knees and hips. For many patients, the cervical spine isassociated with rheumatoid arthritis. Subluxation is the abnormal movement of one of thebones that comprise a joint. In this research, image analysis techniques have been investigated for the recognition of cervical spine x-ray images with one or more instances of subaxial subluxation. Receiver operating characteristic curve results are presented, showing potential for subaxial subluxation discrimination on an image-by-image basis.