Image reconstruction is essential for imaging applications across the physical and life
sciences, including optical and radar systems, magnetic resonance imaging, X-ray computed …

Perhaps more than any other “-omics” endeavor, the accuracy and level of detail obtained
from mapping the major connection pathways in the living human brain with diffusion MRI …

Purpose Controlled aliasing techniques for simultaneously acquired echo‐planar imaging
slices have been shown to significantly increase the temporal efficiency for both diffusion‐…

Purpose To introduce the wave‐CAIPI (controlled aliasing in parallel imaging) acquisition
and reconstruction technique for highly accelerated 3D imaging with negligible g‐factor and …

Access to scanners for magnetic resonance imaging (MRI) is typically limited by cost and by
infrastructure requirements. Here, we report the design and testing of a portable prototype …

Purpose We introduce L2‐regularized reconstruction algorithms with closed‐form solutions
that achieve dramatic computational speed‐up relative to state of the art L1‐ and L2‐based …

Purpose To develop an efficient acquisition for high‐resolution diffusion imaging and allow
in vivo whole‐brain acquisitions at 600‐ to 700‐μm isotropic resolution. Methods We …

Purpose To enable fast reconstruction of quantitative susceptibility maps with total variation
penalty and automatic regularization parameter selection. Methods ℓ 1 ‐Regularized …

This paper introduces a statistical estimation framework for magnetic resonance (MR)
fingerprinting, a recently proposed quantitative imaging paradigm. Within this framework, we …

Permanent magnet arrays offer several attributes attractive for the development of a low-cost
portable MRI scanner for brain imaging. They offer the potential for a relatively lightweight, …