Accurately identifying vertebral levels in large datasets

@article{Elton2020AccuratelyIV,
  title={Accurately identifying vertebral levels in large datasets},
  author={Daniel C. Elton and Veit Sandfort and Perry J. Pickhardt and Ronald M. Summers},
  journal={ArXiv},
  year={2020},
  volume={abs/2001.10503}
}
  • Daniel C. Elton, Veit Sandfort, +1 author Ronald M. Summers
  • Published in ArXiv 2020
  • Computer Science, Engineering
  • The vertebral levels of the spine provide a useful coordinate system when making measurements of plaque, muscle, fat, and bone mineral density. Correctly classifying vertebral levels with high accuracy is challenging due to the similar appearance of each vertebra, the curvature of the spine, and the possibility of anomalies such as fractured vertebrae, implants, lumbarization of the sacrum, and sacralization of L5. The goal of this work is to develop a system that can accurately and robustly… CONTINUE READING

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