Geoff J.M. Parker

This paper introduces a hierarchical Bayesian modelling approach for diffusion and exchange MRI data, showing improved accuracy and noise resilience compared to traditional least-squares methods.

VASAL generates realistic microvascular network phantoms and simulates dMRI signals, showing compatibility with IVIM model assumptions and vascular structure effects on diffusion.

The paper proposes a method to quantify cerebral blood volume and intravascular water residence time using non-contrast MR fingerprinting, showing feasibility in vivo.