Diagnosis of disc herniation based on classifiers and features generated from spine MR images

Jaehan Koh; Vipin Chaudhary; Gurmeet Dhillon

doi:10.1117/12.844386

9 March 2010 Diagnosis of disc herniation based on classifiers and features generated from spine MR images

Jaehan Koh, Vipin Chaudhary, Gurmeet Dhillon

Proceedings Volume 7624, Medical Imaging 2010: Computer-Aided Diagnosis; 76243O (2010) https://doi.org/10.1117/12.844386
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

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.

Citation Download Citation

Jaehan Koh, Vipin Chaudhary, and Gurmeet Dhillon "Diagnosis of disc herniation based on classifiers and features generated from spine MR images", Proc. SPIE 7624, Medical Imaging 2010: Computer-Aided Diagnosis, 76243O (9 March 2010); https://doi.org/10.1117/12.844386

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