Delaunay-based vector segmentation of volumetric medical images

Authors:
Michal Španěl;Přemysl Kršek;Miroslav Švub;Vít Štancl;Ondřej Šiler
Affiliations:
Department of Computer Graphics and Multimedia, Faculty of Information Technology, Brno University of Technology, Czech Republic;Department of Computer Graphics and Multimedia, Faculty of Information Technology, Brno University of Technology, Czech Republic;Department of Computer Graphics and Multimedia, Faculty of Information Technology, Brno University of Technology, Czech Republic;Department of Computer Graphics and Multimedia, Faculty of Information Technology, Brno University of Technology, Czech Republic;Department of Computer Graphics and Multimedia, Faculty of Information Technology, Brno University of Technology, Czech Republic
Venue:
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Year:
2007

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Abstract

The image segmentation plays an important role in medical image processing. Many segmentation algorithms exist. Most of them produce raster data which is not suitable for 3D geometrical modeling of human tissues. In this paper, a vector segmentation algorithm based on a 3D Delaunay triangulation is proposed. Tetrahedral mesh is used to divide a volumetric CT/MR data into non-overlapping regions whose characteristics are similar. Novel methods for improving quality of the mesh and its adaptation to the image structure are also presented.