Neighbor-Constrained Segmentation with 3D Deformable Models

  title={Neighbor-Constrained Segmentation with 3D Deformable Models},
  author={Jing Yang and Lawrence H. Staib and James S. Duncan},
  journal={Information processing in medical imaging : proceedings of the ... conference},
A novel method for the segmentation of multiple objects from 3D medical images using inter-object constraints is presented. Our method is motivated by the observation that neighboring structures have consistent locations and shapes that provide configurations and context that aid in segmentation. We define a Maximum A Posteriori(MAP) estimation framework using the constraining information provided by neighboring objects to segment several objects simultaneously. We introduce a representation… CONTINUE READING
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