Detection of vertebral fractures in DXA VFA images using statistical models of appearance and a semi-automatic segmentation

@article{Roberts2009DetectionOV,
  title={Detection of vertebral fractures in DXA VFA images using statistical models of appearance and a semi-automatic segmentation},
  author={Martin G. Roberts and Elisa Pacheco and Rakesh Mohankumar and Timothy F. Cootes and Judith E. Adams},
  journal={Osteoporosis International},
  year={2009},
  volume={21},
  pages={2037-2046}
}
Morphometric methods of vertebral fracture diagnosis lack specificity. We used detailed shape and image texture model parameters to improve the specificity of quantitative fracture identification. Two radiologists visually classified all vertebrae for system training and evaluation. The vertebral endplates were located by a semi-automatic segmentation method to obtain classifier inputs. Vertebral fractures are common osteoporotic fractures, but current quantitative detection methods… CONTINUE READING
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