| Year: 2004 | 
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| LHNCBC-2004-006 |
| Image Analysis Techniques for Characterizing Disc Space Narrowing in Cervical Vertebrae |
| Chamarthy P , Stanley RJ , Cizek G , Long R , Antani S, Thoma G |
| Computerized Medical Imaging and Graphics. 2004; 28: 39-50. |
| 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. |
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