Statistical atlases of bone anatomy: construction, iterative improvement and validation

@article{Chintalapani2007StatisticalAO,
  title={Statistical atlases of bone anatomy: construction, iterative improvement and validation},
  author={Gouthami Chintalapani and Lotta Maria Ellingsen and Ofri Sadowsky and Jerry L. Prince and Russell H. Taylor},
  journal={Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention},
  year={2007},
  volume={10 Pt 1},
  pages={499-506}
}
We present an iterative bootstrapping framework to create and analyze statistical atlases of bony anatomy such as the human pelvis from a large collection of CT data sets. We create an initial tetrahedral mesh representation of the target anatomy and use deformable intensity-based registration to create an initial atlas. This atlas is used as prior information to assist in deformable registration/segmentation of our subject image data sets, and the process is iterated several times to remove… CONTINUE READING

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