The cerebral waste clearance system (ie, glymphatic or intramural periarterial drainage)
works through a network of perivascular spaces (PVS). Dysfunction of this system likely …

Quantification methods based on the acquisition of diffusion magnetic resonance imaging
(dMRI) with multiple diffusion weightings (eg, multi-shell) are becoming increasingly applied …

Background Cerebral intravoxel incoherent motion (IVIM) imaging assumes two
components. However, more compartments are likely present in pathologic tissue. We …

Background The use of rigid multi-exponential models (with a priori predefined numbers of
components) is common practice for diffusion-weighted MRI (DWI) analysis of the kidney …

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 …

The vascular and neurodegenerative processes related to clinical dementia cause cell loss
which induces, amongst others, an increase in interstitial fluid (ISF). We assessed …

Spherical deconvolution is a widely used approach to quantify the fiber orientation
distribution (FOD) from diffusion MRI data of the brain. The damped Richardson-Lucy (dRL) …

To investigate the cardiovascular system, mathematical modelling and descriptive-analytical
methods may be employed in which the various physiological-geometrical-functional …

In diffusion MRI, spherical deconvolution approaches can estimate local white matter (WM)
fiber orientation distributions (FOD) which can be used to produce fiber tractography …

Purpose To accurately estimate the partial volume fraction of free water in the white matter
from diffusion MRI acquisitions not demanding strong sensitizing gradients and/or large …