Quantitative MR metrics (eg, T1, T2, diffusion coefficients, and magnetization transfer ratios
(MTRs etc)) are often derived from two images collected with one acquisition parameter …

Large-scale longitudinal neuroimaging studies with diffusion imaging techniques are
necessary to test and validate models of white matter neurophysiological processes that …

Abstract Mean Apparent Propagator (MAP) MRI is a recently introduced technique to
estimate the diffusion probability density function (PDF) robustly. Using the estimated PDF …

Background Diffusion magnetic resonance imaging (dMRI) provides insight into white matter
(WM) microstructural changes in Alzheimer's disease and mild cognitive impairment (MCI) …

Background Diffusion tensor imaging (DTI) is increasingly used in various diseases as a
clinical tool for assessing the integrity of the brain's white matter. Reduced fractional …

The preprocessing of dMRI data sets is a critical step in the experimental workflow that, in
general, improves the data reliability. We provide a comprehensive survey of the …

Background It has been established that the diffusion gradient directions in diffusion MRI
should be uniformly distributed in 3D spherical space, so that orientation-dependent …

Methods We model the gradient directions as N antipodal pairs of identically charged
particles [3]. In a similar manner to Jansons and Alexander [4], we arrange the pairs to …

Background: Neurite orientation dispersion and density imaging (NODDI) and the spherical
mean technique (SMT) are diffusion MRI methods providing metrics with sensitivity to similar …

Unlike conventional weighted MRI, leading to T 1-, T 2-, T 2⋆-, or proton density (PD)
weighted images in arbitrary units, quantitative MRI (qMRI) aims to estimate absolute …