The ability of double diffusion encoding to estimate tissue microscopic anisotropy has gained increasing attention in clinical studies. However, the estimation of smaller values of microscopic anisotropy is known to be less precise, posing a challenge for clinical translation because many tissues of interest including the gray matter exhibit smaller values. In this study, we adopted the recently proposed denoising strategy where Marcenko‐Pastur principal component analysis (MPPCA) is applied to coil data before GRAPPA reconstruction. The results suggested this strategy is effective for improving the scan-rescan repeatability of microscopic anisotropy in the gray matter.
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