Three-dimensional Medical Image Segmentation Using a Graph-Theoretic Energy-Minimisation Approach

Parker, B.

A new graph algorithm for multiscale segmentation of threedimensional medical data sets is presented. It is a three-dimensional generalisation of an existing two-dimensional Mumford-Shah region-merging segmentation algorithm. The Mumford-Shah functional formulation leads to improved segmentation results compared to alternative approaches; the graph theoretic approach yields improved performance and simplified data structures; and the automated stopping estimation allows a fully non-supervised algorithm with no tuning parameters required (except for an optional parameter to select the depth of segmentation).

Cite as: Parker, B. (2002). Three-dimensional Medical Image Segmentation Using a Graph-Theoretic Energy-Minimisation Approach. In Proc. Selected papers from 2001 Pan-Sydney Area Workshop on Visual Information Processing (VIP2001), Sydney, Australia. CRPIT, 11. Feng, D. D., Jin, J., Eades, P. and Yan, H., Eds. ACS. 47-50.

(from crpit.com) (local if available)