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dc.contributor.authorThapaliya, Kiran
dc.contributor.authorUrriola, Javier
dc.contributor.authorBarth, Markus
dc.contributor.authorReutens, David C
dc.contributor.authorBollmann, Steffen
dc.contributor.authorVegh, Viktor
dc.date.accessioned2019-09-09T01:31:18Z
dc.date.available2019-09-09T01:31:18Z
dc.date.issued2019
dc.identifier.issn0730-725X
dc.identifier.doi10.1016/j.mri.2019.05.011
dc.identifier.urihttp://hdl.handle.net/10072/387050
dc.description.abstractUltra-high field magnetic resonance imaging data obtained using a multi-echo gradient echo sequence has been shown to contain information on tissue microstructure. Quantitative assessment of water fraction, relaxation time and frequency shift using multi-compartment signal modelling may help improve our understanding of diseases and disorders affecting the human brain. In this study, we explored tissue microstructure information by analysing voxel compartment water fraction and frequency shifts derived from 7 T multi-echo gradient recalled echo MRI data. We aimed to test whether the parameters of a three compartment model could distinguish the normal cortex from the cortex affected by focal cortical dysplasia. We compartmentalised normal and dysplastic cortical regions in patients diagnosed with focal cortical dysplasia. We found the frequency shift parameter of the shortest T2⁎ signal compartment to be sensitive to regions of dysplastic tissue. We conclude that mathematical modelling of echo time dependent gradient recalled echo MRI signals in patients with focal cortical dysplasia can potentially delineate cortical areas that have undergone microstructural changes in comparison to normal tissue.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofpagefrom1
dc.relation.ispartofpageto8
dc.relation.ispartofjournalMagnetic Resonance Imaging
dc.relation.ispartofvolume61
dc.subject.fieldofresearchBiomedical engineering
dc.subject.fieldofresearchClinical sciences
dc.subject.fieldofresearchCognitive and computational psychology
dc.subject.fieldofresearchcode4003
dc.subject.fieldofresearchcode3202
dc.subject.fieldofresearchcode5204
dc.subject.keywordsScience & Technology
dc.subject.keywordsLife Sciences & Biomedicine
dc.subject.keywordsRadiology, Nuclear Medicine & Medical Imaging
dc.subject.keywordsFocal cortical dysplasia
dc.subject.keywordsMulti-echo gradient echo
dc.title7T GRE-MRI signal compartments are sensitive to dysplastic tissue in focal epilepsy
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationThapaliya, K; Urriola, J; Barth, M; Reutens, DC; Bollmann, S; Vegh, V, 7T GRE-MRI signal compartments are sensitive to dysplastic tissue in focal epilepsy, Magnetic Resonance Imaging, 2019, 61, pp. 1-8
dcterms.dateAccepted2019-05-04
dc.date.updated2019-09-09T01:19:27Z
gro.hasfulltextNo Full Text
gro.griffith.authorThapaliya, Kiran


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