Segmentation of brain 3D MR images using level sets and dense registration

@article{Baillard2001SegmentationOB,
  title={Segmentation of brain 3D MR images using level sets and dense registration},
  author={C. Baillard and Pierre Hellier and Christian Barillot},
  journal={Medical image analysis},
  year={2001},
  volume={5 3},
  pages={
          185-94
        }
}
This paper presents a strategy for the segmentation of brain from volumetric MR images which integrates 3D segmentation and 3D registration processes. The segmentation process is based on the level set formalism. A closed 3D surface propagates towards the desired boundaries through the iterative evolution of a 4D implicit function. In this work, the propagation relies on a robust evolution model including adaptive parameters. These depend on the input data and on statistical distribution models… CONTINUE READING

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