Diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging
(NODDI) are widely used models to infer microstructural features in the brain from diffusion …

In Diffusion Weighted MR Imaging (DWI), the signal is affected by the biophysical properties
of neuronal cells and their relative placement, as well as extra-cellular tissue compartments …

Diffusion models are advantageous for examining brain microstructure non‐invasively and
their validation is important for transference into the clinical domain. Neurite Orientation …

In diffusion tensor magnetic resonance imaging (DT-MRI), limitations concerning complex
fiber architecture (when an image voxel contains fiber populations with more than one …

The NODDI-DTI signal model is a modification of the NODDI signal model that formally
allows interpretation of standard single-shell DTI data in terms of biophysical parameters in …

Diffusion tensor imaging (DTI) studies of human brain development have consistently shown
widespread, but nonlinear increases in white matter anisotropy through childhood …

In diffusion MRI (dMRI), microscopic diffusion anisotropy can be obscured by orientation
dispersion. Separation of these properties is of high importance, since it could allow dMRI to …

Diffusion tensor imaging (DTI) techniques provide information on the microstructural
processes of the cerebral white matter (WM) in vivo. The present applications are designed …

Diffusion-weighted magnetic resonance imaging (DWI) is undergoing constant evolution
with the ambitious goal of developing in-vivo histology of the brain. A recent methodological …

Purpose The reproducibility of neurite orientation dispersion and density imaging (NODDI)
metrics in the human brain has not been explored across different magnetic resonance (MR) …