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Modelling of the MRI perfusion process of human head

dc.contributor.authorSederevičius, Donatas
dc.contributor.authorMeilūnas, Mečislavas
dc.contributor.authorUšinskas, Andrius
dc.contributor.authorUšinskienė, Jurgita
dc.date.accessioned2023-09-18T16:46:53Z
dc.date.available2023-09-18T16:46:53Z
dc.date.issued2014
dc.identifier.other(BIS)VGT02-000032552
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/116613
dc.description.abstractIn the paper two models of the brain perfusion for dynamic susceptibility contrast magnetic resonance imaging technique are introduced. Estimation of the cerebral perfusion parameters is done by two approaches. Both approaches are based on non-linear regression method. Parametric maps of perfusion parameters are given and compared. In conclusion it is resumed what factors can effect the final results.eng
dc.formatPDF
dc.format.extentp. 1-4
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyConference Proceedings Citation Index - Science (Web of Science)
dc.relation.isreferencedbyIEEE Xplore
dc.source.urihttp://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7020325
dc.subjectIK04 - Skaitmeninės signalų apdorojimo technologijos / Digital signal processing technologies
dc.titleModelling of the MRI perfusion process of human head
dc.typeStraipsnis konferencijos darbų leidinyje Web of Science DB / Paper in conference publication in Web of Science DB
dcterms.accessRightshttps://www.deepdyve.com/lp/institute-of-electrical-and-electronics-engineers/modelling-of-the-mri-perfusion-process-of-human-head-eKGJuezrAK |
dcterms.references9
dc.type.pubtypeP1a - Straipsnis konferencijos darbų leidinyje Web of Science DB / Article in conference proceedings Web of Science DB
dc.contributor.institutionVilniaus universitetas
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionNacionalinis vėžio institutas
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.contributor.facultyElektronikos fakultetas / Faculty of Electronics
dc.subject.researchfieldN 001 - Matematika / Mathematics
dc.subject.researchfieldT 001 - Elektros ir elektronikos inžinerija / Electrical and electronic engineering
dc.subject.ltspecializationsL105 - Sveikatos technologijos ir biotechnologijos / Health technologies and biotechnologies
dc.subject.enMean transit time
dc.subject.enPerfusion
dc.subject.enDynamic susceptibility contrast magnetic resonance imaging
dc.subject.enNon-linear regression
dc.subject.enCerebral blood volume
dc.subject.enCerebral blood flow
dcterms.sourcetitle2014 IEEE 2nd workshop on advances in information, electronic and electrical engineering (AIEEE) : proceedings, November 28–29, 2014 Vilnius, Lithuania
dc.publisher.nameIEEE
dc.publisher.cityWashington
dc.identifier.doi000389270700012
dc.identifier.doi10.1109/AIEEE.2014.702032510.1109/AIEEE.2014.7020325
dc.identifier.elaba19769396


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