Diffusion tensor imaging (DTI) is a valuable technique for interrogating tissue microstructure, but the estimated parameters remain an indirect characterisation of the underlying tissue architecture. For direct measurement of biophysical parameters, we propose a two-compartment model to quantify cardiomyocyte radius, volume fraction, and dispersion. The intra- and extra-cellular space were modelled using a cylinder with Bingham distributed axes and an oblate tensor. The model reduced root mean squared error by 5% compared to DTI, with volume fraction = 60%, radius = 5.8𝜇m, and dispersion in the sheetlet plane = 9°. These parameters could serve as biomarkers for characterisation of cardiomyopathies.
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