Optimal Weights for Convex Functionals in Medical Image Segmentation

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.

• Type: Conference
• Year: 2009
• Where: ISVC
• Authors: Chris McIntosh, Ghassan Hamarneh
• Keywords: Applied Computing, Energy Functional, Energy Functional Minimization, ISVC 2009, Medical Image Segmentation