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dc.rights.licenseopenen_US
dc.contributor.authorMILOTTA, Giorgia
hal.structure.identifierCentre de résonance magnétique des systèmes biologiques [CRMSB]
dc.contributor.authorCORBIN, Nadège
dc.contributor.authorLAMBERT, Christian
dc.contributor.authorLUTTI, Antoine
dc.contributor.authorMOHAMMADI, Siawoosh
dc.contributor.authorCALLAGHAN, Martina F
dc.date.accessioned2022-11-21T16:05:53Z
dc.date.available2022-11-21T16:05:53Z
dc.date.issued2023-01-01
dc.identifier.issn1522-2594en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/170335
dc.description.abstractEnThe effective transverse relaxation rate ( R 2 * $$ {\mathrm{R}}_2^{\ast } $$ ) is influenced by biological features that make it a useful means of probing brain microstructure. However, confounding factors such as dependence on flip angle (α) and fiber orientation with respect to the main field ( θ $$ \uptheta $$ ) complicate interpretation. The α- and θ $$ \uptheta $$ -dependence stem from the existence of multiple sub-voxel micro-environments (e.g., myelin and non-myelin water compartments). Ordinarily, it is challenging to quantify these sub-compartments; therefore, neuroscientific studies commonly make the simplifying assumption of a mono-exponential decay obtaining a single R 2 * $$ {\mathrm{R}}_2^{\ast } $$ estimate per voxel. In this work, we investigated how the multi-compartment nature of tissue microstructure affects single compartment R 2 * $$ {\mathrm{R}}_2^{\ast } $$ estimates. We used 2-pool (myelin and non-myelin water) simulations to characterize the bias in single compartment R 2 * $$ {\mathrm{R}}_2^{\ast } $$ estimates. Based on our numeric observations, we introduced a linear model that partitions R 2 * $$ {\mathrm{R}}_2^{\ast } $$ into α-dependent and α-independent components and validated this in vivo at 7T. We investigated the dependence of both components on the sub-compartment properties and assessed their robustness, orientation dependence, and reproducibility empirically. R 2 * $$ {\mathrm{R}}_2^{\ast } $$ increased with myelin water fraction and residency time leading to a linear dependence on α. We observed excellent agreement between our numeric and empirical results. Furthermore, the α-independent component of the proposed linear model was robust to the choice of α and reduced dependence on fiber orientation, although it suffered from marginally higher noise sensitivity. We have demonstrated and validated a simple approach that mitigates flip angle and orientation biases in single-compartment R 2 * $$ {\mathrm{R}}_2^{\ast } $$ estimates.
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subject.enMagnetic Resonance Imaging
dc.subject.enReproducibility of Results
dc.subject.enMyelin Sheath
dc.subject.enBrain
dc.subject.enWater
dc.title.enMitigating the impact of flip angle and orientation dependence in single compartment R2* estimates via 2-pool modeling.
dc.title.alternativeMagn Reson Meden_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1002/mrm.29428en_US
dc.subject.halSciences du Vivant [q-bio]/Médecine humaine et pathologieen_US
dc.identifier.pubmed36161672en_US
bordeaux.journalMagnetic Resonance in Medicineen_US
bordeaux.page128-143en_US
bordeaux.volume89en_US
bordeaux.hal.laboratoriesCentre de Résonance Magnétique des Systèmes Biologiques (CRMSB) - UMR 5536en_US
bordeaux.issue1en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionCNRSen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcepubmed
hal.identifierhal-03864274
hal.version1
hal.date.transferred2022-11-21T16:06:11Z
hal.exporttrue
workflow.import.sourcepubmed
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Magnetic%20Resonance%20in%20Medicine&rft.date=2023-01-01&rft.volume=89&rft.issue=1&rft.spage=128-143&rft.epage=128-143&rft.eissn=1522-2594&rft.issn=1522-2594&rft.au=MILOTTA,%20Giorgia&CORBIN,%20Nad%C3%A8ge&LAMBERT,%20Christian&LUTTI,%20Antoine&MOHAMMADI,%20Siawoosh&rft.genre=article


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