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

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 …

At macroscopic scales, the human connectome comprises anatomically distinct brain areas,
the structural pathways connecting them and their functional interactions. Annotation of …

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 …

Image distortion due to field gradient eddy currents can create image artifacts in diffusion‐
weighted MR images. These images, acquired by measuring the attenuation of NMR signal …

Since its inception in 1985, diffusion weighted magnetic resonance imaging has been
evolving and is becoming instrumental in diagnosis and investigation of tissue functions in …

This second article of the 2-part review builds on the theoretic background provided by the
first article to cover the major technical factors that affect image quality in diffusion imaging …