2D and 3D Shape Based Segmentation Using Deformable Models

@article{ElBaz20052DA3,
  title={2D and 3D Shape Based Segmentation Using Deformable Models},
  author={Ayman El-Baz and Seniha Esen Yuksel and Hongjian Shi and Aly A. Farag and Mohamed Abou El-Ghar and Tarek Eldiasty and Mohamed A. Ghoneim},
  journal={Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention},
  year={2005},
  volume={8 Pt 2},
  pages={821-9}
}
A novel shape based segmentation approach is proposed by modifying the external energy component of a deformable model. The proposed external energy component depends not only on the gray level of the images but also on the shape information which is obtained from the signed distance maps of objects in a given data set. The gray level distribution and the signed distance map of the points inside and outside the object of interest are accurately estimated by modelling the empirical density… CONTINUE READING
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