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Image Analysis Techniques for Characterizing Disc Space Narrowing in Cervical Vertebrae

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Chamarthy P, Stanley RJ, Cizek G, Long R, Antani S, Thoma G
Computerized Medical Imaging and Graphics. 2004; 28: 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 percent for each of the four grades using a one grade window around the correct grade.

Chamarthy P, Stanley RJ, Cizek G, Long R, Antani S, Thoma G. Image Analysis Techniques for Characterizing Disc Space Narrowing in Cervical Vertebrae Computerized Medical Imaging and Graphics. 2004; 28: 39-50.