3d Segmentation Of The Spinal Canal And Intervertebral Discs In Mri Data

Koban, Martin

3d Segmentation Of The Spinal Canal And Intervertebral Discs In Mri Data

but.event.date	26.04.2018	cs
but.event.title	Student EEICT 2018	cs
dc.contributor.author	Koban, Martin
dc.date.accessioned	2019-03-04T10:05:33Z
dc.date.available	2019-03-04T10:05:33Z
dc.date.issued	2018	cs
dc.description.abstract	The concern of this work is development of the method for the spinal canal and intervertebral discs (IVD) segmentation in volume MRI data. The primary aim is to achieve the highest possible level of automation and accuracy allowing for reliable quantitative evaluation of the results. The algorithm is based on the random walk model in combination with a specific active contour method formulated through level set concept. The proposed approach is tested using a database of 3D T2-weighted MR images, which also contains referential manual segmentation of IVD.	en
dc.format	text	cs
dc.format.extent	15-17	cs
dc.format.mimetype	application/pdf	en
dc.identifier.citation	Proceedings of the 24th Conference STUDENT EEICT 2018. s. 15-17. ISBN 978-80-214-5614-3	cs
dc.identifier.isbn	978-80-214-5614-3
dc.identifier.uri	http://hdl.handle.net/11012/138154
dc.language.iso	sk	cs
dc.publisher	Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií	cs
dc.relation.ispartof	Proceedings of the 24th Conference STUDENT EEICT 2018	en
dc.relation.uri	http://www.feec.vutbr.cz/EEICT/	cs
dc.rights	© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií	cs
dc.rights.access	openAccess	en
dc.subject	segmentation	en
dc.subject	spinal canal	en
dc.subject	IVD	en
dc.subject	MRI	en
dc.subject	random walk	en
dc.subject	active contours	en
dc.subject	level set	en
dc.title	3d Segmentation Of The Spinal Canal And Intervertebral Discs In Mri Data	en
dc.type.driver	conferenceObject	en
dc.type.status	Peer-reviewed	en
dc.type.version	publishedVersion	en
eprints.affiliatedInstitution.department	Fakulta elektrotechniky a komunikačních technologií	cs

Files

Original bundle

Now showing 1 - 1 of 1

Name:: eeict2018-15.pdf
Size:: 1.06 MB
Format:: Adobe Portable Document Format
Description:

Download

Collections

Student EEICT 2018