Segmentation of Blood-Vessel Tree in Whole-Body MRI Data

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but.event.date23.04.2015cs
but.event.titleStudent EEICT 2015cs
dc.contributor.authorGuricová, K.
dc.date.accessioned2015-08-25T08:42:48Z
dc.date.available2015-08-25T08:42:48Z
dc.date.issued2015cs
dc.description.abstractThe aim of this paper is to introduce a method of blood-vessel tree segmentation in 3D volume and the visualization of the processed data. The method is based on the detection of tubular structures which the blood-vessels resemble. The processing is based on the information that is carried in the derivatives of the original volume. Second derivatives of each voxel are computed and organized into a Hessian matrix. The used method is based on the calculation of the eigenvalues of this matrix for each voxel. Those eigenvalues carry the information of the structure shape. Based on this information, a new parametric volume is created that represents the ’vesselness’of each voxel. The processed volume is visualized with Visualization ToolKit.en
dc.formattextcs
dc.format.extent65-67cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings of the 21st Conference STUDENT EEICT 2015. s. 65-67. ISBN 978-80-214-5148-3cs
dc.identifier.isbn978-80-214-5148-3
dc.identifier.urihttp://hdl.handle.net/11012/42932
dc.language.isocscs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings of the 21st Conference STUDENT EEICT 2015en
dc.relation.urihttp://www.feec.vutbr.cz/EEICT/cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectsegmentationen
dc.subjectblood-vessel treeen
dc.subjectMRIen
dc.subjectHessian matrixen
dc.subjecteigenvaluesen
dc.titleSegmentation of Blood-Vessel Tree in Whole-Body MRI Dataen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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