2020
DOI: 10.1002/mrm.28216
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Abstract: This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. Purpose:To optimize diffusion-relaxation MRI with tensor-valued diffusion encoding for precise estimation of compartment-specific fractions, diffusivities, and T 2 values within a two-compartment model of white matter, and to explor… Show more

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Cited by 72 publications
(115 citation statements)
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“…Inspection of Figure 7 reveals that both the CST and the forceps major tracts are characterized by considerably higher Ê[T 2 ] (lower Ê[R 2 ]) values. These observations are in accordance with the results of (Lampinen et al, 2020), where larger T 2 times were consistently found in the CST. The higher T 2 of the CST is also observed in voxels containing fibre crossings, with Ê[T 2 ] differences being discerned between the ODF lobes corresponding to the CST and the lobes that capture fibre populations from other tracts (see bottom right panels of Figure 7).…”
Section: In Vivo Orientation-resolved R 2 -D Metricssupporting
confidence: 93%
“…Inspection of Figure 7 reveals that both the CST and the forceps major tracts are characterized by considerably higher Ê[T 2 ] (lower Ê[R 2 ]) values. These observations are in accordance with the results of (Lampinen et al, 2020), where larger T 2 times were consistently found in the CST. The higher T 2 of the CST is also observed in voxels containing fibre crossings, with Ê[T 2 ] differences being discerned between the ODF lobes corresponding to the CST and the lobes that capture fibre populations from other tracts (see bottom right panels of Figure 7).…”
Section: In Vivo Orientation-resolved R 2 -D Metricssupporting
confidence: 93%
“…The axial diffusivity of the extra-axonal compartment is assumed equal to that of the intra-axonal compartment, and the extra-axonal radial diffusivity is defined by a tortuosity model that describes the hindrance of water in the extra-axonal space. Though these strong modelling assumptions make the problem tractable, numerous studies challenge their accuracy [8, 9, 10, 11, 12] where, if the assumed diffusivities are inaccurate, the estimation of the remaining model parameters will be biased.…”
Section: Introductionmentioning
confidence: 99%
“…Quantitative MRI (qMRI) techniques enable the estimation of biophysical properties of imaged tissues from multi-contrast images (1), providing promising system-independent biomarkers in several clinical contexts. Notable examples include: relaxation times, useful to assess myelination in the brain (2) or luminal structures in the prostate (3); diffusion characteristics, linked to cytoarchitecture in various anatomical districts (4–9); blood flow (10); mechanical stiffness of organs such as liver (11); tissue temperature (12).…”
Section: Introductionmentioning
confidence: 99%
“…Importantly, these previous optimisation approaches rely on fixed, a priori representation of measured signals, such as biophysical models (e.g. multi-compartment models (4,7,9,34)) or phenomenological descriptors (e.g. cumulant expansions (35) or continuous distributions of signal sources (18)).…”
Section: Introductionmentioning
confidence: 99%
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