26 March 2007 Vertebral fracture classification
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Abstract
A novel method for classification and quantification of vertebral fractures from X-ray images is presented. Using pairwise conditional shape models trained on a set of healthy spines, the most likely unfractured shape is estimated for each of the vertebrae in the image. The difference between the true shape and the reconstructed normal shape is an indicator for the shape abnormality. A statistical classification scheme with the two shapes as features is applied to detect, classify, and grade various types of deformities. In contrast with the current (semi-)quantitative grading strategies this method takes the full shape into account, it uses a patient-specific reference by combining population-based information on biological variation in vertebra shape and vertebra interrelations, and it provides a continuous measure of deformity. Good agreement with manual classification and grading is demonstrated on 204 lateral spine radiographs with in total 89 fractures.
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Marleen de Bruijne, Marleen de Bruijne, Paola C. Pettersen, Paola C. Pettersen, László B. Tankó, László B. Tankó, Mads Nielsen, Mads Nielsen, } "Vertebral fracture classification", Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 651219 (26 March 2007); doi: 10.1117/12.706268; https://doi.org/10.1117/12.706268
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