Abstract

PurposeIt has been shown, theoretically and in vivo, that using the Stejskal‐Tanner pulsed‐gradient, or linear tensor encoding (LTE), and in tissue exhibiting a “stick‐like” diffusion geometry, the direction‐averaged diffusion‐weighted MRI signal at high b‐values ( 7000<b<10000s/mm2) follows a power‐law, decaying as 1/b. It has also been shown, theoretically, that for planar tensor encoding (PTE), the direction‐averaged diffusion‐weighted MRI signal decays as 1/b. We aimed to confirm this theoretical prediction in vivo. We then considered the direction‐averaged signal for arbitrary b‐tensor shapes and different tissue substrates to look for other conditions under which a power‐law exists.MethodsWe considered the signal decay for high b‐values for encoding geometries ranging from 2‐dimensional PTE, through isotropic or spherical tensor encoding to LTE. When a power‐law behavior was suggested, this was tested using in silico simulations and, when appropriate, in vivo using ultra‐strong (300 mT/m) gradients.ResultsOur in vivo results confirmed the predicted 1/b power law for PTE. Moreover, our analysis showed that using an axisymmetric b‐tensor a power‐law only exists under very specific conditions: (a) “stick‐like” tissue geometry and purely LTE or purely PTE waveforms; and (b) "pancake‐like" tissue geometry and a purely LTE waveform.ConclusionsA complete analysis of the power‐law dependencies of the diffusion‐weighted signal at high b‐values has been performed. Only three specific forms of encoding result in a power‐law dependency, pure linear and pure PTE when the tissue geometry is “stick‐like” and pure LTE when the tissue geometry is "pancake‐like". The different exponents of these encodings could be used to provide independent validation of the presence of different tissue geometries in vivo.

Highlights

  • We considered the direction-averaged signal for arbitrary b-tensor shapes and different tissue substrates to look for other conditions under which a power-law exists

  • We considered the signal decay for high b-values for encoding geometries ranging from 2-dimensional planar tensor encoding (PTE), through isotropic or spherical tensor encoding to linear tensor encoding (LTE)

  • Our analysis showed that using an axisymmetric b-tensor a power-law only exists under very specific conditions: (a) “stick-like” tissue geometry and purely

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Summary

Introduction

Diffusion MRI (dMRI) provides a tool to study brain tissue based on the Brownian motion of water molecules[1] and is sensitive to differences in the microstructure of the tissue.[2,3,4] Different mathematical representations have been proposed to describe the relationship between the diffusion signal, the strength of diffusion-weighting (b-value), and the microstructural properties of the tissue under investigation.[5,6,7] The most prominent are the biexponential,[8,9,10,11,12] the stretched exponential,[13] and the power-law.[14,15,16,17] The mathematical forms of these approaches are quite different. The large b-value behavior is assumed to be dominated by the intracellular compartment. The signal relationship with the b-value is exp [ − (kb)a], where k is a constant and a < 1 is the stretching parameter. In the statistical model developed by Yablonskiy et al,[14] the signal decays as 1/b for large b, while the other studies[15,16,17] have reported that the signal at

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