Diffusion MRI (dMRI) has become an invaluable tool to assess the microstructural organization
of brain tissue. Depending on the specific acquisition settings, the dMRI signal encodes …

Tensor‐valued diffusion encoding facilitates data analysis by q‐space trajectory imaging. By
modeling the diffusion signal of heterogeneous tissues with a diffusion tensor distribution (…

Constrained spherical deconvolution (CSD) of diffusion‐weighted MRI (DW‐MRI) is a popular
analysis method that extracts the full white matter (WM) fiber orientation density function (…

Multi-tissue constrained spherical deconvolution (MT-CSD) leverages the unique b-value
dependency of each brain tissue type to estimate the full white matter (WM) fiber orientation …

Multi-tissue spherical deconvolution of multi-shell diffusion MRI data allows for simultaneous
estimation of the white matter fiber orientation distribution function and the apparent …

The acquisition and modelling of diffusion MRI (dMRI) data offer many opportunities to
explore the organization of the brain. A variety of methods has been proposed to this end, but …

Fitting the diffusion kurtosis imaging free water elimination model (DKI-FWE) to diffusion MRI
data represents an ill-conditioned problem. Fortunately, the conditioning of the model fitting …

Multi-tissue constrained spherical deconvolution of multi-shell diffusion weighted MRI data
estimates the white matter fiber orientation distribution function, together with the densities of …

… Thanks to Jan Morez for the many moments of mental support and for allowing me to
ventilate regarding unavoidable frustrations that have come with this thesis. …