Statistical deformable bone models for robust 3D surface extrapolation from sparse data

@article{Rajamani2007StatisticalDB,
  title={Statistical deformable bone models for robust 3D surface extrapolation from sparse data},
  author={Kumar T. Rajamani and Martin Styner and Haydar Talib and Guoyan Zheng and Lutz-Peter Nolte and Miguel {\'A}ngel Gonz{\'a}lez Ballester},
  journal={Medical image analysis},
  year={2007},
  volume={11 2},
  pages={
          99-109
        }
}
A majority of pre-operative planning and navigational guidance during computer assisted orthopaedic surgery routinely uses three-dimensional models of patient anatomy. These models enhance the surgeon's capability to decrease the invasiveness of surgical procedures and increase their accuracy and safety. A common approach for this is to use computed tomography (CT) or magnetic resonance imaging (MRI). These have the disadvantages that they are expensive and/or induce radiation to the patient… CONTINUE READING
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