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

R. Joe Stanley, Missouri University of Science and Technology
Santosh Seetharaman
George R. Thoma
E. Downey
L. Rodney Long
Sameer Antani

This document has been relocated to http://scholarsmine.mst.edu/ele_comeng_facwork/1666

There were 6 downloads as of 28 Jun 2016.

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 is associated with rheumatoid arthritis. Subluxation is the abnormal movement of one of the bones 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.