Optimal Weights for Convex Functionals in Medical Image Segmentation

  • Authors:
  • Chris Mcintosh;Ghassan Hamarneh

  • Affiliations:
  • Medical Image Analysis Lab, School of Computing Science, Simon Fraser University, Canada;Medical Image Analysis Lab, School of Computing Science, Simon Fraser University, Canada

  • Venue:
  • ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
  • Year:
  • 2009

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Abstract

Energy functional minimization is a popular technique for medical image segmentation. The segmentation must be initialized, weights for competing terms of an energy functional must be tuned, and the functional minimized. There is a substantial amount of guesswork involved. We reduce this guesswork by analytically determining the optimal weights and minimizing a convex energy functional independent of the initialization. We demonstrate improved results over state of the art on a set of 470 clinical examples.