In this review we focus on the technology associated with low-field NMR. We present the
current state-of-the-art in low-field NMR hardware and experiments, considering general …

Magnetic resonance imaging (MRI) is a well-known technique in medical diagnosis and
materials science. In the more specialized arena of laboratory-scale petrophysical rock core …

We present a method for accelerating the acquisition of phase-encoded velocity images by
the use of compressed sensing (CS), a technique that exploits the observation that an under …

Magnetic resonance (MR) techniques are increasingly used to improve our understanding of
the multi-component, multi-phase processes encountered in chemical engineering. This …

As magnetic resonance imaging (MRI) can spatially resolve a wealth of molecular
information available from nuclear magnetic resonance (NMR), it is able to non-invasively …

In recent years there has been significant developments in the reconstruction of magnetic
resonance velocity images from sub-sampled k-space data. While showing a strong …

Purpose: To investigate the feasibility of high temporal resolution breast DCE‐MRI using
compressed sensing theory. Methods: Two experiments were designed to investigate the …

Within the past decade, 2D Laplace nuclear magnetic resonance (NMR) has been
developed to analyze pore geometry and diffusion of fluids in porous media on the …

This works addresses the problem of reconstructing multi-echo T2 weighted MR images
from partially sampled K-space data. Previous studies in reconstructing MR images from …

This study shows how applying compressed sensing (CS) to 19F chemical shift imaging
(CSI) makes highly accurate and reproducible reconstructions from undersampled datasets …