Accelerated non-Cartesian parallel
imaging plays a vital role to reduce data acquisition time in the MR imaging; however the resultant images may contain aliasing
artifacts.
In this work, the application of ESPIRiT with GROG is proposed
to get good reconstruction results from highly under-sampled radial data. The proposed
method is tested on 3T short–axis cardiac radial data at different acceleration
factors (AF=4, 6 and 9) and compared with pseudo-Cartesian GRAPPA.
The results show that the proposed method offers significant
improved (e.g. 81% improvement in term of artifact power at AF=4) reconstruction
results as compared to conventional pseudo-Cartesian GRAPPA.
