Original title: Delaunay-based Vector Segmentation of Volumetric Medical Images
Translated title: Vektorová segmentace objemových medicínských dat založená na Delaunay triangulaci
Authors: Španěl, Michal ; Martišek, Dalibor (referee) ; Sochor, Jiří (referee) ; Kršek, Přemysl (advisor)
Document type: Doctoral theses
Year: 2011
Language: eng
Publisher: Vysoké učení technické v Brně. Fakulta informačních technologií
Abstract: [eng] [cze]
Image segmentation plays an important role in medical image analysis. Many segmentation algorithms exist. Most of them produce data which are more or less not suitable for further surface extraction and anatomical modeling of human tissues. In this thesis, a novel segmentation technique based on the 3D Delaunay triangulation is proposed. A modified variational tetrahedral meshing approach is used to adapt a tetrahedral mesh to the underlying CT volumetric data, so that image edges are well approximated in the mesh. In order to classify tetrahedra into regions/tissues whose characteristics are similar, three different clustering schemes are presented. Finally, several methods for improving quality of the mesh and its adaptation to the image structure are also discussed.
Keywords: clustering.; computed tomography; custom-made implant; Delaunay triangulation; feature extraction; image segmentation; Medical imaging; sliver elimination; surface reconstruction; surgery planning; variational tetrahedral meshing; volumetric data

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/63258

Permalink: http://www.nusl.cz/ntk/nusl-261255


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Universities and colleges > Public universities > Brno University of Technology
Academic theses (ETDs) > Doctoral theses