Diffusion MRI (dMRI) provides invaluable information for the study of tissue microstructure
and brain connectivity, but suffers from a range of imaging artifacts that greatly challenge the …

The diffusion of water molecules inside organic tissues is often anisotropic (1). Namely, if
there are aligned structures in the tissue, the apparent diffusion coefficient (ADC) of water …

In this paper we describe a method for retrospective estimation and correction of eddy
current (EC)-induced distortions and subject movement in diffusion imaging. In addition a …

Diffusion MRI data can be affected by hardware and subject-related artefacts that can
adversely affect downstream analyses. Therefore, automated quality control (QC) is of great …

Diffusion tensor imaging is often performed by acquiring a series of diffusion-weighted spin-
echo echo-planar images with different direction diffusion gradients. A problem of echo …

Diffusion tensor imaging (DTI) is a promising method for characterizing microstructural
changes or differences with neuropathology and treatment. The diffusion tensor may be …

Abstract On May 3, 2008, a National Cancer Institute (NCI)-sponsored open consensus
conference was held in Toronto, Ontario, Canada, during the 2008 International Society for …

Fiber tract trajectories in coherently organized brain white matter pathways were computed
from in vivo diffusion tensor magnetic resonance imaging (DT‐MRI) data. First, a continuous …

To estimate diffusion tensor MRI (DTI) measures, such as fractional anisotropy and fiber
orientation, reliably, a large number of diffusion‐encoded images is needed, preferably …

This article treats the theoretical underpinnings of diffusion‐tensor magnetic resonance
imaging (DT‐MRI), as well as experimental design and data analysis issues. We review the …