Segmentation Of Ribs In Thoracic Ct Scans

Simple item page
but.event.date23.04.2020cs
but.event.titleStudent EEICT 2020cs
dc.contributor.authorKašík, Ondřej
dc.date.accessioned2021-07-15T11:17:20Z
dc.date.available2021-07-15T11:17:20Z
dc.date.issued2020cs
dc.description.abstractThis paper deals with rib segmentation in thoracic CT data. For the segmentation method of rib centerlines detection is chosen. The first step of this approach is to extract the centerlines of all the bones located in the scan. These centerlines are divided into short primitives, which are subsequently classified into couple of categories, depending on whether they represent the centerline of the rib. More than 95% of all primitives are classified correctly. In the last step, the rib centrelines are used as the seed points of the region growing algorithm in three-dimensional space.en
dc.formattextcs
dc.format.extent212-215cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings I of the 26st Conference STUDENT EEICT 2020: General papers. s. 212-215. ISBN 978-80-214-5867-3cs
dc.identifier.isbn978-80-214-5867-3
dc.identifier.urihttp://hdl.handle.net/11012/200561
dc.language.isocscs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings I of the 26st Conference STUDENT EEICT 2020: General papersen
dc.relation.urihttps://conf.feec.vutbr.cz/eeict/EEICT2020cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectComputed tomographyen
dc.subjectsegmentationen
dc.subjectribsen
dc.subjectcentrelinesen
dc.subjectclassificationen
dc.subjectregion growingen
dc.titleSegmentation Of Ribs In Thoracic Ct Scansen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
212-eeict_1.pdf
Size:
741.88 KB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Student EEICT 2020