Atlas-Based Auto-segmentation of Head and Neck CT Images

@article{Han2008AtlasBasedAO,
  title={Atlas-Based Auto-segmentation of Head and Neck CT Images},
  author={Xiao Han and Mischa S. Hoogeman and Peter C. Levendag and Lyndon S. Hibbard and David N. Teguh and Peter Voet and Andrew C. Cowen and Theresa K. Wolf},
  journal={Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention},
  year={2008},
  volume={11 Pt 2},
  pages={
          434-41
        }
}
Treatment planning for high precision radiotherapy of head and neck (H&N) cancer patients requires accurate delineation of many structures and lymph node regions. Manual contouring is tedious and suffers from large inter- and intra-rater variability. To reduce manual labor, we have developed a fully automated, atlas-based method for H&N CT image segmentation that employs a novel hierarchical atlas registration approach. This registration strategy makes use of object shape information in the… CONTINUE READING
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