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| Title: | Anterior osteophyte discrimination in lumbar vertebrae using size-invariant features |
| Author (s): | Cherukuri, Maruthi Stanley, R. Joe Long, Rodney Antani, Sameer Thoma, George |
| Department/Lab Affiliations: | Electrical and Computer Engineering Image Processing Laboratory |
| Keywords: | Image processing lumbar spine neural networks osteoarthritis osteophyte x-ray |
| Issue Date: | 2004 |
| Publisher: | Elsevier |
| Citation: | Cherukuri, Maruthi, R. Joe Stanley, Rodney Long, Sameer Antani, and George Thoma. “Anterior osteophyte discrimination in lumbar vertebrae using size-invariant features.” Computerized Medical Imaging and Graphics, Vol. 28, pp. 99-108, 2004. |
| Abstract: | Radiologists often examine X-rays of cervical, thoracic and lumbar vertebrae for determining the presence of osteoarthritis and osteoporosis. For individual vertebra assessment, the boundary increasingly digresses from the general rectangular shape as the vertebra becomes less normal in appearance. For an abnormal vertebra, bony growths (‘osteophytes’) may appear at the vertebral corners, resulting in a change in the vertebra's shape. Image processing techniques are presented for computing size-invariant, convex hull-based features to highlight anterior osteophytes. Feature evaluation of 714 lumbar spine vertebrae using a multi-layer perceptron yielded normal and abnormal average correct discrimination of 90.5 and 86.6%, respectively. |
| 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 | Anterior osteophyte discrimination in lumbar vertebrae using size-invariant features |
| contributor.author | Cherukuri, Maruthi |
| contributor.author | Stanley, R. Joe |
| contributor.author | Long, Rodney |
| contributor.author | Antani, Sameer |
| contributor.author | Thoma, George |
| contributor.deptlab | Electrical and Computer Engineering |
| contributor.deptlab | Image Processing Laboratory |
| subject | Image processing |
| subject | lumbar spine |
| subject | neural networks |
| subject | osteoarthritis |
| subject | osteophyte |
| subject | x-ray |
| date.issued | 2004 |
| publisher | Elsevier |
| identifier.citation | Cherukuri, Maruthi, R. Joe Stanley, Rodney Long, Sameer Antani, and George Thoma. “Anterior osteophyte discrimination in lumbar vertebrae using size-invariant features.” Computerized Medical Imaging and Graphics, Vol. 28, pp. 99-108, 2004. |
| identifier.pub.URI | |
| description.abstract | Radiologists often examine X-rays of cervical, thoracic and lumbar vertebrae for determining the presence of osteoarthritis and osteoporosis. For individual vertebra assessment, the boundary increasingly digresses from the general rectangular shape as the vertebra becomes less normal in appearance. For an abnormal vertebra, bony growths (‘osteophytes’) may appear at the vertebral corners, resulting in a change in the vertebra's shape. Image processing techniques are presented for computing size-invariant, convex hull-based features to highlight anterior osteophytes. Feature evaluation of 714 lumbar spine vertebrae using a multi-layer perceptron yielded normal and abnormal average correct discrimination of 90.5 and 86.6%, respectively. |
| 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 | 2008-07-24T20:23:46Z |
| identifier.persist.URI |