Studies on tissue structural heterogeneity have been the focus of a growing number of non-Gaussian diffusion models, such as the continuous-time random-walk (CTRW) model. Establishing a correlation between the voxel-level CTRW parameters and the microscopic tissue heterogeneity from gold-standard histology, however, has been challenging due to the lack of quantitative measure of histopathological heterogeneity and different spatial scales. We establish a one-to-one correspondence between imaging-based tissue heterogeneity revealed by CTRW parameters and histology-based tissue structural heterogeneity predicted by a machine-learning classifier to address an overarching question: “Can we look inside a voxel noninvasively through the lenses of the CTRW model?”.
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