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

A barrier to the adoption of non-Cartesian parallel magnetic resonance imaging for real-time
applications has been the times required for the image reconstructions. These times have …

The speed of MR image acquisition has increased dramatically since the 1980s through a
combination of technological and methodological advances. Nevertheless, many clinical …

GRAPPA linearly combines the undersampled k‐space signals to estimate the missing k‐
space signals where the coefficients are obtained by fitting to some auto‐calibration signals …

Fast imaging methods and the availability of required hardware for magnetic resonance
tomography (MRT) have significantly reduced acquisition times from about an hour down to …

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

Timing delays between data acquisition and gradient transmission result in image
degradation. This is especially true in spiral MRI, where delays can alter data in a …

Parallel imaging is a recently developed family of techniques that take advantage of the
spatial information inherent in phased-array radiofrequency coils to reduce acquisition times …

A new approach for utilizing conjugate k‐space symmetry for improved parallel MRI
performance is presented. By generating virtual coils containing conjugate symmetric k …

A parallel image reconstruction algorithm is presented that exploits the k‐space locality in
radiofrequency (RF) coil encoded data. In RF coil encoding, information relevant to …