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Burman Ingeberg, M.

Publications and source records attributed to Burman Ingeberg, M..

2 recordsLinked to original sources

Evidence for the ultra-soft brain provided by uniqueness in intrinsic MR elastography

IntroductionBrain tissue is exceptionally soft. Recent in vivo work, including intrinsic MRE using naturally occurring cardiac pulsations, has shown stiffness values far below those obtained from post-mortem testing or externally actuated MRE. Such extreme softness allows a balance of elastic and inertial forces at even low frequencies, restoring uniqueness in viscoelastic iMRE inversion. Here, we demonstrate that viscoelastic iMRE can provide unique and stable stiffness estimates across frequencies, enabled by the brains ultra-soft nature. MethodiMRE data was obtained for 8 healthy subjects from a previous 7T MRI study, and MRE data was obtained at 50 Hz for 38 healthy subjects from two prior studies. The elastic-to-inertial force ratio was calculated for all subjects and compared between intrinsic and extrinsic datasets. The convergence of the viscoelastic iMRE was evaluated across a range of initial conditions and was examined at approximately 1, 2, and 3 Hz. ResultsAt a brain stiffness of 2600 Pa, the iMRE force ratio exceeded the MRE value by nearly four orders of magnitude, whereas at 4-35 Pa it fell to within approximately 0.5-2.5 orders of magnitude. Convergence was consistent across initial stiffness estimates. The mean storage modulus across all subjects was 5.29{+/-}0.95 Pa at 1 Hz, 34{+/-}17 Pa at 2 Hz, and 160{+/-}98 Pa at 3 Hz, consistent with previously reported frequency dependency. ConclusionBalanced force ratios, consistent convergence, and physiologically plausible results support uniqueness of the viscoelastic inversion. These findings resolve a key limitation in iMRE modeling and provide further evidence for the brains ultra-soft nature at low frequencies.

biophysics↗

Exploring the role of vascular factors and tissue properties in pulsatile brain deformation

IntroductionStrain tensor imaging (STI) provides precise measurements of brain tissue deformation caused by cerebral arterial pulsations (CAP). This CAP-related brain tissue deformation is expressed in quantitative strain metrics, such as volumetric strain and octahedral shear strain, which hold promise as quantitative markers of the (mechanical) properties of both the intracerebral vasculature and the intervascular tissue components. However, the extent to which these strain metrics can be specifically linked to the underlying anatomical vascular and tissue properties remains largely unknown. This study aims to explore the relationship between STI metrics and independent markers of pulse pressure (arterial transit time, ATT), vascular function (cerebral blood volume, CBV; cerebral blood flow, CBF; mean transit time, MTT), and tissue properties (shear stiffness). MethodVolumetric and octahedral shear strain were computed from previously obtained 7T displacement data (approximately 2 mm isotropic resolution) of eight healthy subjects (27{+/-}7 years). Shear stiffness maps were generated from the same displacement data set using poroviscoelastic intrinsic MR elastography. Regional values of CBV, CBF, MTT, and ATT were obtained from standard-space atlases. Linear mixed-effects models were used to investigate potential regional relationships between specific strain metrics and the corresponding tissue, pulse pressure, or vascular markers. ResultsVolumetric strain showed significant positive correlations with CBV (globally, cortical gray and white matter) and significant negative correlations with ATT (globally, and in cortical gray and white matter), but not with shear stiffness. Octahedral shear strain showed a significant negative correlation with shear stiffness (globally, in subcortical gray and white matter) and also with ATT (globally, in cortical gray matter). ConclusionVolumetric strain reflects mainly vascular properties (pulse pressure, blood volume), while octahedral shear strain is more sensitive to tissue properties. These findings provide a foundation for future studies that investigate the physiological characteristics reflected by these strain metrics and their intricate interplay.

biophysics↗