Multigrid methods and automatic segmentation: an application to CT images of the liver

@inproceedings{Garamendi2007MultigridMA,
  title={Multigrid methods and automatic segmentation: an application to CT images of the liver},
  author={Juan Francisco Garamendi and Norberto Malpica and Emanuele Schiavi},
  year={2007}
}
We consider a segmentation problem which arises in medical imaging and liver surgery. The model problem is based on an active contour without edges technique formulated in a level set dictionary. Previous work indicates that a feasible solution can be obtained solving the gradient descent equation associated to the original minimization problem but the convergence of the algorithm is too slow for practical clinical purposes. Here, we study the implementation of multigrid methods to the elliptic… CONTINUE READING

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References

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SHOWING 1-10 OF 12 REFERENCES

Automatic Segmentation of the Liver Using Level Sets without Edges Chambolle : An Algorithm for Total Variation Minimization and Applications

  • T. Kohlberger, C. Schnörr, N. Sochen, N. Malpica, J. Martel, E. Schiavi
  • Journal of Mathematical Imaging and Vision
  • 2004

Exact Solutions to Total Variation Regularization Problems

  • D. Strong, T. Chan
  • UCLA Math Department CAM Report
  • 1996
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