Borjan A. Gagoski3, Johnathan Polimeni1,2,
1Radiology, A. A. Martinos Center for Biomedical Imaging, MGH, Charlestown, MA, USA; 2Harvard Medical School, Boston, MA, USA; 3Department of Electrical Engineering & Computer Science, MIT, Cambridge, MA, USA; 4Harvard-MIT Division of Health Sciences & Technology, MIT, Cambridge, MA, USA
Recent modifications to standard rectilinear 3D k-space sampling trajectories have provided more robust parallel imaging based reconstructions of highly undersampled datasets. Here, we introduce wave-CAIPIRINHA acquisition which combines 2D-CAIPIRINHA with BPE in two PE directions, and demonstrated its associated low g-factor penalty for highly accelerated acquisitions (Gmax=1.25 for an R=3x3 acquisition). For the reconstruction, we propose an algorithm based on generalized SENSE but perform in a pseudo-image domain (without gridding). This technique can be thought of as a way to sparsify the encoding matrix of wave-CAIPIRINHA to allow it to be divided into many small decoupled systems.