Noninvasive human neuroimaging has yielded many discoveries about the brain. Numerous
methodological advances have also occurred, though inertia has slowed their adoption. This …

Simultaneous multislice imaging (SMS) using parallel image reconstruction has rapidly
advanced to become a major imaging technique. The primary benefit is an acceleration in …

Diffusion Imaging in Python (Dipy) is a free and open source software project for the analysis
of data from diffusion magnetic resonance imaging (dMRI) experiments. dMRI is an …

We propose a patch-based singular value shrinkage method for diffusion magnetic
resonance image estimation targeted at low signal to noise ratio and accelerated …

Tractography based on diffusion MRI offers the promise of characterizing many aspects of
long-distance connectivity in the brain, but requires quantitative validation to assess its …

Numerous scientific fields rely on elaborate but partly suboptimal data processing pipelines.
An example is diffusion magnetic resonance imaging (diffusion MRI), a non-invasive …

The biophysical modeling efforts in diffusion MRI have grown considerably over the past 25
years. In this review, we dwell on the various challenges along the journey of bringing a …

The recent advancement of simultaneous multi-slice imaging using multiband excitation has
dramatically reduced the scan time of the brain. The evolution of this parallel imaging …

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

Since the realization that diffusion MRI can probe the microstructural organization and
orientation of biological tissue in vivo and non‐invasively, a multitude of diffusion imaging …