Parallel imaging is a robust method for accelerating the acquisition of magnetic resonance
imaging (MRI) data, and has made possible many new applications of MR imaging. Parallel …

Non‐Cartesian parallel imaging has played an important role in reducing data acquisition
time in MRI. The use of non‐Cartesian trajectories can enable more efficient coverage of k …

Both parallel MRI and compressed sensing (CS) are emerging techniques to accelerate
conventional MRI by reducing the number of acquired data. The combination of parallel MRI …

Parallel magnetic resonance imaging (pMRI) using multichannel receiver coils has emerged
as an effective tool to reduce imaging time in various applications. However, the issue of …

The purpose of this study was to examine the dependence of image texture features on MR
acquisition parameters and reconstruction using a digital MR imaging phantom. MR signal …

MR parameter mapping requires sampling along additional (parametric) dimension, which
often limits its clinical appeal due to a several‐fold increase in scan times compared to …

Purpose Although recent deep learning methodologies have shown promising results in fast
MR imaging, how to explore it to learn an explicit prior and leverage it into the observation …

To reduce scanning time and/or improve spatial/temporal resolution in some Magnetic
Resonance Imaging (MRI) applications, parallel MRI acquisition techniques with multiple …

In sensitivity encoding reconstruction, the issue of ill conditioning becomes serious and thus
the signal‐to‐noise ratio becomes poor when a large acceleration factor is employed. Total …

For solving linear inverse problems, particularly of the type that appears in tomographic
imaging and compressive sensing, this paper develops two new approaches. The first …