Optimized Regional Algorithm for GRAPPA Reconstructions

Tom Depew¹, Qing-San Xiang¹, ²

New GRAPPA-like Partially Parallel Imaging (PPI) algorithms consider coil sensitivity information in dimensions other than the phase encode direction that is implicit in PPI data recovery. Sensitivity variation in the frequency encode dimension must be accounted for to allow an optimal reconstruction. The assessment of PPI reconstruction quality often requires a fully acquired k-space reference scan for comparison, which is not possible for partial data. We propose a GRAPPA variant that accounts for FE sensitivity variation and is optimized using gradient energy, an image quality measure that does not require a fully acquired reference scan.