In Vivo Tensor-Valued Diffusion MRI Reveals Isotropic-Anisotropic Kurtosis Mismatch in a Rat MCAO Stroke Model
BackgroundTensor-valued diffusion MRI (dMRI) enables the separation of total kurtosis into isotropic and anisotropic components, offering improved specificity over conventional Diffusion Kurtosis Imaging (DKI). In this study, we introduce a novel framework for detecting anisotropic-isotropic kurtosis mismatch and evaluate its utility in characterizing stroke lesions. MethodsWe performed tensor-valued dMRI in a rat model of middle cerebral artery occlusion (MCAO). Metrics including anisotropic kurtosis (MKA) and isotropic kurtosis (MKI) were quantified to assess microstructural tissue heterogeneity. Histological validation was conducted using co-registered tissue sections. ResultsWe observed significant mismatches between mean diffusivity (MD), mean kurtosis (MK), as well as specifically in MKA and MKI in ischemic regions. Notably, MKA and MKI exhibited statistically significant alterations compared to contralateral regions. Moreover, these metrics strongly correlated with pathological findings. The mismatch highlighted microstructurally distinct subregions within the lesion. ConclusionsThis is the first study to propose an anisotropic-isotropic kurtosis mismatch framework in vivo. Tensor-valued dMRI may offer a more specific imaging biomarker for stroke, with potential for improving lesion subtyping and guiding therapeutic decisions.