Automatic Vertebra Labeling in Large-Scale 3D CT using Deep Image-to-Image Network with Message Passing and Sparsity Regularization

@article{Yang2017AutomaticVL,
  title={Automatic Vertebra Labeling in Large-Scale 3D CT using Deep Image-to-Image Network with Message Passing and Sparsity Regularization},
  author={Dong Yang and Tao Xiong and Daguang Xu and Qiangui Huang and David Liu and Shaohua Kevin Zhou and Zhoubing Xu and Jin Hyeong Park and Mingqing Chen and Trac D. Tran and Sang Peter Chin and Dimitris N. Metaxas and Dorin Comaniciu},
  journal={ArXiv},
  year={2017},
  volume={abs/1705.05998}
}
Automatic localization and labeling of vertebra in 3D medical images plays an important role in many clinical tasks, including pathological diagnosis, surgical planning and postoperative assessment. However, the unusual conditions of pathological cases, such as the abnormal spine curvature, bright visual imaging artifacts caused by metal implants, and the limited field of view, increase the difficulties of accurate localization. In this paper, we propose an automatic and fast algorithm to… 

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