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 …

Abstract Magnetic Resonance Imaging (MRI) is an essential technology in modern
medicine. However, one of its main drawbacks is the long scan time needed to localize the …

Magnetic resonance is an exceptionally powerful and versatile measurement technique. The
basic structure of a magnetic resonance experiment has remained largely unchanged for …

A new approach to autocalibrating, coil‐by‐coil parallel imaging reconstruction, is
presented. It is a generalized reconstruction framework based on self‐consistency. The …

Parallel imaging reconstructions result in spatially varying noise amplification characterized
by the g‐factor, precluding conventional measurements of noise from the final image. A …

In this work a theoretical description for practical quantitative estimation of the noise
enhancement in generalized autocalibrating partially parallel acquisitions (GRAPPA) …

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 …

Ultra‐short echo time (UTE) MRI requires both short excitation (∼ 0.5 ms) and short
acquisition delay (< 0.2 ms) to minimize T2‐induced signal decay. These requirements …

Background Rapid volumetric imaging protocols could better utilize limited scanner
resources. Purpose To develop and validate an optimized 6‐minute high‐resolution …

A novel approach that uses the concepts of parallel imaging to grid data sampled along a
non‐Cartesian trajectory using GRAPPA operator gridding (GROG) is described. GROG …