Quantitative tissue diffusion parameters derived from diffusion weighted imaging (DWI) models hold promise for diagnostic and prognostic clinical oncology applications. System-dependent spatial DW bias due to gradient nonlinearity (GNL) is known confounding factor for quantitative DWI metrics. Improved accuracy and multiplatform reproducibility was previously demonstrated for mono-exponential apparent diffusion coefficient with correction for platform-dependent GNL bias (GNC). Complex tumor microenvironment often exhibits multi-exponential diffusion described by isotropic kurtosis model. This study proposes analytical extension and demonstrates empirical confirmation for GNC of parametric maps derived from diffusion kurtosis model.