Optimal multi-object segmentation with novel gradient vector flow based shape priors

@article{Bai2017OptimalMS,
  title={Optimal multi-object segmentation with novel gradient vector flow based shape priors},
  author={Junjie Bai and Abhay Shah and Xiaodong Wu},
  journal={Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society},
  year={2017},
  volume={69},
  pages={
          96-111
        }
}
Shape priors have been widely utilized in medical image segmentation to improve segmentation accuracy and robustness. A major way to encode such a prior shape model is to use a mesh representation, which is prone to causing self-intersection or mesh folding. Those problems require complex and expensive algorithms to mitigate. In this paper, we propose a novel shape prior directly embedded in the voxel grid space, based on gradient vector flows of a pre-segmentation. The flexible and powerful… CONTINUE READING

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