Subvoxel Cortical Bone Thickness Measurement

Kodym, Oldřich

Subvoxel Cortical Bone Thickness Measurement

but.event.date	27.04.2017	cs
but.event.title	Student EEICT 2017	cs
dc.contributor.author	Kodym, Oldřich
dc.date.accessioned	2020-05-07T09:40:26Z
dc.date.available	2020-05-07T09:40:26Z
dc.date.issued	2017	cs
dc.description.abstract	The project is aimed at analysing the thickness of vertebral cortical shell in medical CT data. As the cortical bone thickness is usually smaller than the spatial resolution of the scanner, it is impossible to base the analysis upon mere segmentation of the cortical bone. The proposed method uses rough segmentation to locate the cortical bone and then makes use of a machine learning technique with synthetic training data to analyse its thickness.	en
dc.format	text	cs
dc.format.extent	137-139	cs
dc.format.mimetype	application/pdf	en
dc.identifier.citation	Proceedings of the 23st Conference STUDENT EEICT 2017. s. 137-139. ISBN 978-80-214-5496-5	cs
dc.identifier.isbn	978-80-214-5496-5
dc.identifier.uri	http://hdl.handle.net/11012/187061
dc.language.iso	cs	cs
dc.publisher	Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií	cs
dc.relation.ispartof	Proceedings of the 23st Conference STUDENT EEICT 2017	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	computed tomography	en
dc.subject	cortical bone thickness	en
dc.subject	random forest regression	en
dc.title	Subvoxel Cortical Bone Thickness Measurement	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

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