Performance of statistical models of shape and appearance for semiautomatic segmentations of spinal vertebrae T4-L4 on digitized vertebral fracture assessment images.

@article{Velde2015PerformanceOS,
  title={Performance of statistical models of shape and appearance for semiautomatic segmentations of spinal vertebrae T4-L4 on digitized vertebral fracture assessment images.},
  author={Robert Y. van der Velde and T. O. Ozanian and Bianca Dumitrescu and Jane Haslam and Joes Staal and Alan Bartholmey Brett and Joop van den Bergh and Piet P. Geusens},
  journal={The spine journal : official journal of the North American Spine Society},
  year={2015},
  volume={15 6},
  pages={
          1248-54
        }
}
BACKGROUND CONTEXT Despite its clinical importance, accurate identification of vertebral fractures is problematic and time-consuming. There is a recognized need to improve the detection of vertebral fractures so that appropriate high-risk patients can be selected to initiate clinically beneficial therapeutic interventions. PURPOSE To develop and evaluate semiautomatic algorithms for detailed annotation of vertebral bodies from T4 to L4 in digitized lateral spinal dual-energy X-ray… CONTINUE READING
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