Název:
Delaunay-based Vector Segmentation of Volumetric Medical Images
Překlad názvu:
Vektorová segmentace objemových medicínských dat založená na Delaunay triangulaci
Autoři:
Španěl, Michal ; Martišek, Dalibor (oponent) ; Sochor, Jiří (oponent) ; Kršek, Přemysl (vedoucí práce) Typ dokumentu: Disertační práce
Rok:
2011
Jazyk:
eng
Nakladatel: Vysoké učení technické v Brně. Fakulta informačních technologií
Abstrakt: [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.
Klíčová slova:
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
Instituce: Vysoké učení technické v Brně
(web)
Informace o dostupnosti dokumentu:
Plný text je dostupný v Digitální knihovně VUT. Původní záznam: http://hdl.handle.net/11012/63258