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| Title: | Image analysis techniques for characterizing disc space narrowing in cervical vertebrae interfaces |
| Author (s): | Chamarthy, Pavan Stanley, R. Joe Cizek, Gregory Long, Rodney Antani, Sameer Thoma, George |
| Department/Lab Affiliations: | Electrical and Computer Engineering Image Processing Laboratory |
| Keywords: | K-means cervical spine disorders degenerative disk disease disc space narrowing image processing |
| Subject Terms: | Cervical vertebrae. Self-organizing maps. |
| Issue Date: | 2004 |
| Publisher: | Elsevier |
| Citation: | Chamarthy, Pavan, R. Joe Stanley, Gregory Cizek, Rodney Long, Sameer Antani, and George Thoma. “Image analysis techniques for characterizing disc space narrowing in cervical vertebrae interfaces.” Computerized Medical Imaging and Graphics, vol. 28, no.1-2, January 2004, pp. 39-50. |
| Abstract: | Image analysis techniques are introduced for evaluating disc space narrowing of cervical vertebrae interfaces from X-ray images. Four scale-invariant, distance transform-based features are presented for characterizing the spacing between adjacent vertebrae. K-means and self-organizing map clustering techniques are applied to estimate the degree of disc space narrowing using a four grade (0–3) scoring system, where 0 and 3 represent normal spacing and significant narrowing, respectively. For a data set of 294 vertebrae interfaces, experimental results yield average correct grade assignment of greater than 82.10% for each of the four grades using a one grade window around the correct grade. |
| Type: | Article - Journal text |
| In Title: | Computerized Medical Imaging and Graphics |
| Copyright Notice: | Pre-print: author can archive with restrictions;Restriction: This does not include Cell Press; Post-print: author can archive; This 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. FULL COPYRIGHT INFORMATION: |
| Publisher URL: | |
| Link to this page: |
| title | Image analysis techniques for characterizing disc space narrowing in cervical vertebrae interfaces |
| contributor.author | Chamarthy, Pavan |
| contributor.author | Stanley, R. Joe |
| contributor.author | Cizek, Gregory |
| contributor.author | Long, Rodney |
| contributor.author | Antani, Sameer |
| contributor.author | Thoma, George |
| contributor.deptlab | Electrical and Computer Engineering |
| contributor.deptlab | Image Processing Laboratory |
| subject | K-means |
| subject | cervical spine disorders |
| subject | degenerative disk disease |
| subject | disc space narrowing |
| subject | image processing |
| subject.LCSH | Cervical vertebrae. |
| subject.LCSH | Self-organizing maps. |
| date.issued | 2004 |
| publisher | Elsevier |
| identifier.citation | Chamarthy, Pavan, R. Joe Stanley, Gregory Cizek, Rodney Long, Sameer Antani, and George Thoma. “Image analysis techniques for characterizing disc space narrowing in cervical vertebrae interfaces.” Computerized Medical Imaging and Graphics, vol. 28, no.1-2, January 2004, pp. 39-50. |
| identifier.pub.URI | |
| description.abstract | Image analysis techniques are introduced for evaluating disc space narrowing of cervical vertebrae interfaces from X-ray images. Four scale-invariant, distance transform-based features are presented for characterizing the spacing between adjacent vertebrae. K-means and self-organizing map clustering techniques are applied to estimate the degree of disc space narrowing using a four grade (0–3) scoring system, where 0 and 3 represent normal spacing and significant narrowing, respectively. For a data set of 294 vertebrae interfaces, experimental results yield average correct grade assignment of greater than 82.10% for each of the four grades using a one grade window around the correct grade. |
| type | Article - Journal |
| type.DCMIType | text |
| type.status | Postprint |
| rights | Pre-print: author can archive with restrictions;Restriction: This does not include Cell Press; Post-print: author can archive; |
| rights | This 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 | |
| relation.isPartOf | Computerized Medical Imaging and Graphics |
| date.available | 2008-07-24T19:08:12Z |
| identifier.persist.URI |