Vessel segmentation for ablation treatment planning and simulation

Authors:
Tuomas Alhonnoro;Mika Pollari;Mikko Lilja;Ronan Flanagan;Bernhard Kainz;Judith Muehl;Ursula Mayrhauser;Horst Portugaller;Philipp Stiegler;Karlheinz Tscheliessnigg
Affiliations:
Aalto University School of Science and Technology, Finland;Aalto University School of Science and Technology, Finland;Aalto University School of Science and Technology, Finland;NUMA Engineering Services Ltd, Ireland;Technical University of Graz, Austria;Technical University of Graz, Austria;Medical University of Graz, Austria;Medical University of Graz, Austria;Medical University of Graz, Austria;Medical University of Graz, Austria
Venue:
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part I
Year:
2010

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Abstract

In this paper, a novel segmentation method for liver vasculature is presented, intended for numerical simulation of radio frequency ablation (RFA). The developed method is a semiautomatic hybrid based on multi-scale vessel enhancement combined with ridge-oriented region growing and skeleton-based postprocessing. In addition, an interactive tool for segmentation refinement was developed. Four instances of three-phase contrast enhanced computed tomography (CT) images of porcine liver were used in the evaluation. The results showed improved accuracy over common approaches and illustrated the method's suitability for simulation purposes.