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Proceedings Paper

Diagnosis of disc herniation based on classifiers and features generated from spine MR images
Author(s): Jaehan Koh; Vipin Chaudhary; Gurmeet Dhillon
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Paper Abstract

In recent years the demand for an automated method for diagnosis of disc abnormalities has grown as more patients suffer from lumbar disorders and radiologists have to treat more patients reliably in a limited amount of time. In this paper, we propose and compare several classifiers that diagnose disc herniation, one of the common problems of the lumbar spine, based on lumbar MR images. Experimental results on a limited data set of 68 clinical cases with 340 lumbar discs show that our classifiers can diagnose disc herniation with 97% accuracy.

Paper Details

Date Published: 9 March 2010
PDF: 8 pages
Proc. SPIE 7624, Medical Imaging 2010: Computer-Aided Diagnosis, 76243O (9 March 2010); doi: 10.1117/12.844386
Show Author Affiliations
Jaehan Koh, Univ. at Buffalo (United States)
Vipin Chaudhary, Univ. at Buffalo (United States)
Gurmeet Dhillon, Proscan Imaging, LLC (United States)


Published in SPIE Proceedings Vol. 7624:
Medical Imaging 2010: Computer-Aided Diagnosis
Nico Karssemeijer; Ronald M. Summers, Editor(s)

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