Mitigating the impact of flip angle and orientation dependence in single compartment R2* estimates via 2-pool modeling.
dc.rights.license | open | en_US |
dc.contributor.author | MILOTTA, Giorgia | |
hal.structure.identifier | Centre de résonance magnétique des systèmes biologiques [CRMSB] | |
dc.contributor.author | CORBIN, Nadège | |
dc.contributor.author | LAMBERT, Christian | |
dc.contributor.author | LUTTI, Antoine | |
dc.contributor.author | MOHAMMADI, Siawoosh | |
dc.contributor.author | CALLAGHAN, Martina F | |
dc.date.accessioned | 2022-11-21T16:05:53Z | |
dc.date.available | 2022-11-21T16:05:53Z | |
dc.date.issued | 2023-01-01 | |
dc.identifier.issn | 1522-2594 | en_US |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/170335 | |
dc.description.abstractEn | The 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.iso | EN | en_US |
dc.rights | Attribution 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/us/ | * |
dc.subject.en | Magnetic Resonance Imaging | |
dc.subject.en | Reproducibility of Results | |
dc.subject.en | Myelin Sheath | |
dc.subject.en | Brain | |
dc.subject.en | Water | |
dc.title.en | Mitigating the impact of flip angle and orientation dependence in single compartment R2* estimates via 2-pool modeling. | |
dc.title.alternative | Magn Reson Med | en_US |
dc.type | Article de revue | en_US |
dc.identifier.doi | 10.1002/mrm.29428 | en_US |
dc.subject.hal | Sciences du Vivant [q-bio]/Médecine humaine et pathologie | en_US |
dc.identifier.pubmed | 36161672 | en_US |
bordeaux.journal | Magnetic Resonance in Medicine | en_US |
bordeaux.page | 128-143 | en_US |
bordeaux.volume | 89 | en_US |
bordeaux.hal.laboratories | Centre de Résonance Magnétique des Systèmes Biologiques (CRMSB) - UMR 5536 | en_US |
bordeaux.issue | 1 | en_US |
bordeaux.institution | Université de Bordeaux | en_US |
bordeaux.institution | CNRS | en_US |
bordeaux.peerReviewed | oui | en_US |
bordeaux.inpress | non | en_US |
bordeaux.import.source | pubmed | |
hal.identifier | hal-03864274 | |
hal.version | 1 | |
hal.date.transferred | 2022-11-21T16:06:11Z | |
hal.export | true | |
workflow.import.source | pubmed | |
dc.rights.cc | Pas de Licence CC | en_US |
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