Romascano, DavidCanales-Rodriguez, Erick JorgePatino Lopez, Jonathan RafaelPizzolato, MarcoRensonnet, GaëtanBarakovic, MuhamedGirard, GabrielDaducci, AlessandroDyrby, Tim B.Thiran, Jean-Philippe2020-01-022020-01-022020-01-022019-05-01https://infoscience.epfl.ch/handle/20.500.14299/164314We present HOTmix, a new model to describe the diffusion MRI signal for molecules undergoing hindered diffusion. HOTmix is based on a mixture of generalized higher order tensors, explicitly incorporating the diffusion sequence’s time-dependent parameters. The method was evaluated on simulated diffusion MRI signals obtained through Monte Carlo simulations, using intermediate diffusion times, mimicking both ex-vivo and in-vivo conditions. HOTmix provided better reconstructions compared to the standard diffusion tensor, the kurtosis tensor, and a single generalized higher order tensor. In future work, we will explore whether modelling the hindered compartment using HOTmix improves microstructural features estimated using dMRI.text::conference output::conference paper not in proceedings