DKI operates on the principle that water diffusion in biological tissues is often non-Gaussian due to complex cellular environments. By capturing this non-Gaussian behavior, DKI can provide more precise metrics, such as the Kurtosis Tensor, which describes the degree of deviation from Gaussian diffusion. This offers additional insights into tissue architecture that are not accessible through conventional DTI.
