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Title: Image analysis techniques for the automated evaluation of subaxial subluxation in cervical spine X-ray images
Author (s): Stanley, R. Joe
Seetharaman, S.
Long, L.R.
Antani, S.
Thoma, G.
Downey, E.
Department/Lab Affiliations: Electrical and Computer Engineering
Image Processing Laboratory
Keywords: cervical spine X-ray images
diagnostic radiography
diseases
image analysis
image recognition
medical image processing
orthopaedics
rheumatoid arthritis
subaxial subluxation discrimination
synovial joints
Issue Date: 2004
Publisher: Institute of Electrical and Electronics Engineers
Citation: Stanley, R.J.; Seetharaman, S.; Long, L.R.; Antani, S.; Thoma, G.; Downey, E., "Image analysis techniques for the automated evaluation of subaxial subluxation in cervical spine X-ray images," 17th IEEE Symposium on Computer-Based Medical Systems, CBMS 2004 Proceedings, pp. 204- 209, 24-25 June 2004
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.
Type: Article - Conference proceedings
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titleImage analysis techniques for the automated evaluation of subaxial subluxation in cervical spine X-ray images
contributor.authorStanley, R. Joe
contributor.authorSeetharaman, S.
contributor.authorLong, L.R.
contributor.authorAntani, S.
contributor.authorThoma, G.
contributor.authorDowney, E.
contributor.deptlabElectrical and Computer Engineering
contributor.deptlabImage Processing Laboratory
subjectcervical spine X-ray images
subjectdiagnostic radiography
subjectdiseases
subjectimage analysis
subjectimage recognition
subjectmedical image processing
subjectorthopaedics
subjectrheumatoid arthritis
subjectsubaxial subluxation discrimination
subjectsynovial joints
date.issued2004
date.submitted2007
publisherInstitute of Electrical and Electronics Engineers
identifier.citationStanley, R.J.; Seetharaman, S.; Long, L.R.; Antani, S.; Thoma, G.; Downey, E., "Image analysis techniques for the automated evaluation of subaxial subluxation in cervical spine X-ray images," 17th IEEE Symposium on Computer-Based Medical Systems, CBMS 2004 Proceedings, pp. 204- 209, 24-25 June 2004
identifier.issn1063-7125
identifier.pub.URI
http://ieeexplore.ieee.org/iel5/9171/29104/01311715.pdf?arnumber=131171
description.abstractRheumatoid 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.
typeArticle - Conference proceedings
type.DCMITypetext
type.statusFinal version
rightsThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
rights.URI
http://www.ieee.org/web/publications/rights/policies.html
date.accessioned2007-04-05T14:20:08Z
date.available2007-04-05T14:20:08Z
identifier.persist.URI
http://scholarsmine.mst.edu/post_prints/01311715_09007dcc8030d22c.html
Full Text
01311715_09007dcc8030d231.pdf