Segmentation of 3D tubular objects with adaptive front propagation and minimal tree extraction for 3D medical imaging.

  title={Segmentation of 3D tubular objects with adaptive front propagation and minimal tree extraction for 3D medical imaging.},
  author={Laurent D. Cohen and Thomas Deschamps},
  journal={Computer methods in biomechanics and biomedical engineering},
  volume={10 4},
We present a new fast approach for segmentation of thin branching structures, like vascular trees, based on Fast-Marching (FM) and Level Set (LS) methods. FM allows segmentation of tubular structures by inflating a "long balloon" from a user given single point. However, when the tubular shape is rather long, the front propagation may blow up through the boundary of the desired shape close to the starting point. Our contribution is focused on a method to propagate only the useful part of the… CONTINUE READING

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