HOTmix: characterizing hindered diffusion using a mixture of generalized higher order tensors

We 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.


Presented at:
ISMRM 27th Annual Meeting & Exhibition, Montréal, Canada, Mai 11-16, 2019
Year:
2019-05




 Record created 2020-01-02, last modified 2020-01-03

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