A fast parallel MRI (pMRI) reconstruction method is presented for 2D and 3D radial
trajectories. A limitation of the radial generalized autocalibrating partially parallel …

A self‐calibrated parallel imaging reconstruction method is proposed for azimuthally
undersampled radial dataset. A generalized auto‐calibrating partially parallel acquisition …

Generalized autocalibrating partially parallel acquisitions (GRAPPA), an important parallel
imaging technique, can be easily applied to radial k‐space data by segmenting the k‐space …

When using parallel MRI (pMRI) methods in combination with three‐dimensional (3D)
imaging, it is beneficial to subsample the k‐space along both phase‐encoding directions …

In this study, a novel partially parallel acquisition (PPA) method is presented which can be
used to accelerate image acquisition using an RF coil array for spatial encoding. This …

The generalized auto-calibrating partially parallel acquisition (GRAPPA) is an auto-
calibrating parallel imaging technique which incorporates multiple blocks of data to derive …

In this work an iterative reconstruction method based on generalized autocalibrating partially
parallel acquisitions (GRAPPA) reconstruction is introduced. In the new method the …

This paper presents an improved data reconstruction method for generalized autocalibrating
partially parallel acquisitions (GRAPPA) using multicolumn multiline interpolation (MCMLI) …

Current parallel imaging techniques for accelerated imaging require a fully encoded
reference data set to estimate the spatial coil sensitivity information needed for …

MRI with non‐Cartesian sampling schemes can offer inherent advantages. Radial
acquisitions are known to be very robust, even in the case of vast undersampling. This is …