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dc.contributor.authorValla, R.
dc.date.accessioned2015-08-25T08:42:59Z
dc.date.available2015-08-25T08:42:59Z
dc.date.issued2015cs
dc.identifier.citationProceedings of the 21st Conference STUDENT EEICT 2015. s. 255-257. ISBN 978-80-214-5148-3cs
dc.identifier.isbn978-80-214-5148-3
dc.identifier.urihttp://hdl.handle.net/11012/42993
dc.description.abstractThis study deals with the problem of bending and kissing fibers of axonal bundles in brain white matter. It describes new simulator of diffusion-weighted MRI (dMRI) data which is able to generate it based on random walk algorithm with geometrical constraints not only for crossing fiber geometry, but also as o novelty for bending and kissing fiber geometries. It means the simulator becomes a useful and essential tool for understanding and detection of differences between dMRI data coming from crossing, bending and kissing fibers.en
dc.formattextcs
dc.format.extent255-257cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
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.subjectdMRIen
dc.subjectsimulationsen
dc.subjectBrownian motionen
dc.subjectcrossingen
dc.subjectbending and kissing fibersen
dc.titleSimulations of synthetic diffusion MRI data based on Brownian motionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
but.event.date23.04.2015cs
but.event.titleStudent EEICT 2015cs
dc.rights.accessopenAccessen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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