but.committee		cs
but.defence		cs
but.jazyk	angličtina (English)
but.program	Informační technologie	cs
but.result	práce byla úspěšně obhájena	cs
dc.contributor.advisor	Kršek, Přemysl	en
dc.contributor.author	Španěl, Michal	en
dc.contributor.referee	Martišek, Dalibor	en
dc.contributor.referee	Sochor, Jiří	en
dc.date.accessioned	2019-06-14T11:03:26Z
dc.date.available	2019-06-14T11:03:26Z
dc.date.created	2011	cs
dc.description.abstract	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.	en
dc.description.abstract		cs
dc.description.mark	P	cs
dc.identifier.citation	ŠPANĚL, M. Delaunay-based Vector Segmentation of Volumetric Medical Images [online]. Brno: Vysoké učení technické v Brně. Fakulta informačních technologií. 2011.	cs
dc.identifier.other	99784	cs
dc.identifier.uri	http://hdl.handle.net/11012/63258
dc.language.iso	en	cs
dc.publisher	Vysoké učení technické v Brně. Fakulta informačních technologií	cs
dc.rights	Standardní licenční smlouva - přístup k plnému textu bez omezení	cs
dc.subject	Medical imaging	en
dc.subject	computed tomography	en
dc.subject	volumetric data	en
dc.subject	image segmentation	en
dc.subject	surface reconstruction	en
dc.subject	surgery planning	en
dc.subject	custom-made implant	en
dc.subject	Delaunay triangulation	en
dc.subject	variational tetrahedral meshing	en
dc.subject	sliver elimination	en
dc.subject	feature extraction	en
dc.subject	clustering.	en
dc.title	Delaunay-based Vector Segmentation of Volumetric Medical Images	en
dc.title.alternative	Vektorová segmentace objemových medicínských dat založená na Delaunay triangulaci	cs
dc.type	Text	cs
dc.type.driver	doctoralThesis	en
dc.type.evskp	dizertační práce	cs
dcterms.dateAccepted	2011-01-05	cs
dcterms.modified	2020-05-10-16:13:38	cs
eprints.affiliatedInstitution.faculty	Fakulta informačních technologií	cs
sync.item.dbid	99784	en
sync.item.dbtype	ZP	en
sync.item.insts	2020.05.14 00:58:17	en
sync.item.modts	2020.05.14 00:26:16	en
thesis.discipline	Informační technologie	cs
thesis.grantor	Vysoké učení technické v Brně. Fakulta informačních technologií. Ústav počítačové grafiky a multimédií	cs
thesis.level	Doktorský	cs
thesis.name	Ph.D.	cs

Delaunay-based Vector Segmentation of Volumetric Medical Images

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