An Efficient Optimization Framework for Multi-Region Segmentation Based on Lagrangian Duality

@article{Uln2013AnEO,
  title={An Efficient Optimization Framework for Multi-Region Segmentation Based on Lagrangian Duality},
  author={Johannes Ul{\'e}n and Petter Strandmark and Fredrik Kahl},
  journal={IEEE Transactions on Medical Imaging},
  year={2013},
  volume={32},
  pages={178-188}
}
We introduce a multi-region model for simultaneous segmentation of medical images. In contrast to many other models, geometric constraints such as inclusion and exclusion between the regions are enforced, which makes it possible to correctly segment different regions even if the intensity distributions are identical. We efficiently optimize the model using a combination of graph cuts and Lagrangian duality which is faster and more memory efficient than current state of the art. As the method is… CONTINUE READING
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, 08 ) Segmentation of the Left Ventricle from Cine MR Images Using a Comprehensive Approach Exact optimization for markov random fields with convex priors

  • L. Lee, S. Venkatesh, L. Teo, C. Au
  • Medical Imaging , IEEE Transactions on
  • 2009

4D Morphological segmentation and the MICCAI LV-segmentation grand challenge

  • L. Marak, J. Cousty, L. Najman, H. Talbot
  • 2009

Automatic Image - Driven Segmentation of Left Ventricle in Cardiac Cine MRI . [ Online ]

  • L. Najman, H. Talbot
  • 2009

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