Three-dimensional medical image segmentation using a graph-theoretic energy-minimisation approach

Authors:
Brian Parker
Affiliations:
Biomedical & Multimedia Information Technology (BMIT) Group, School of Information Technologies, University of Sydney, Australia
Venue:
VIP '01 Proceedings of the Pan-Sydney area workshop on Visual information processing - Volume 11
Year:
2001

Citing 2
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Abstract

A new graph algorithm for multiscale segmentation of three-dimensional 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).