Validation and noise robustness assessment of microscopic anisotropy estimation with clinically feasible double diffusion encoding MRI

TL;DR

This study validates a simplified double diffusion encoding MRI protocol for estimating microscopic anisotropy in tissue, demonstrating comparable accuracy to standard methods and analyzing its noise robustness for clinical application.

Contribution

It introduces and validates a minimal acquisition scheme for DDE MRI that simplifies clinical implementation while assessing its noise sensitivity.

Findings

Minimal protocol achieves accuracy comparable to standard DDE 5-design.

{A} sensitivity to noise depends non-linearly on tissue properties.

High SNR is necessary for precise {A} measurement in low anisotropy tissues.

Abstract

Purpose: Double diffusion encoding (DDE) MRI enables the estimation of microscopic diffusion anisotropy, yielding valuable information on tissue microstructure. A recent study proposed that the acquisition of rotationally invariant DDE metrics, typically obtained using a spherical "5-design", could be greatly simplified by assuming Gaussian diffusion, facilitating reduced acquisition times that are more compatible with clinical settings. Here, we aim to validate the new minimal acquisition scheme against the standard DDE 5-design, and to quantify the proposed method's noise robustness to facilitate future clinical use. Methods: DDE MRI experiments were performed on both ex vivo and in vivo rat brains at 9.4 T using the 5-design and the proposed minimal design and taking into account the difference in the number of acquisitions. The ensuing microscopic fractional anisotropy ({\mu}FA) maps were compared over a range of b-values up to 5000 s/mm2. Noise robustness was studied using analytical calculations and numerical simulations. Results: The minimal protocol quantified {\mu}FA at an accuracy comparable to the estimates obtained via the more theoretically robust DDE 5-design. {\mu}FA's sensitivity to noise was found to strongly depend on compartment anisotropy and tensor magnitude in a non-linear fashion. When {\mu}FA < 0.75 or when mean diffusivity is particularly low, very high signal to noise ratio (SNR) is required for precise quantification of {\mu}FA. Conclusion: Our work supports using DDE for quantifying microscopic diffusion anisotropy in clinical settings but raises hitherto overlooked precision issues when measuring {\mu}FA with DDE and typical clinical SNR.