A 3D GRAPPA algorithm for volumetric parallel imaging
Jakob P, Griswold M, Breuer F, Blaimer M, Seiberlich N
University of Wrzburg
It has been shown that the GRAPPA method is the method of choice in applications where sensitivity maps, as required for SENSE reconstruction, are hard to obtain. This is for example the case in regions with low SNR, such as the lung. In this work, a 3D GRAPPA reconstruction algorithm for volumetric parallel imaging is presented, which is more efficient than previous proposed k-space based strategies. The method is described for conventional rectangular scan-time reductions in two spatial dimensions and 2D CAIPIRINHA-type reductions where sampling positions are shifted with respect to each other.