W. Scott Hoge1, Huan Tan2, Zhikui Xiao3, Robert A. Kraft2
1Radiology, Brigham & Women's Hospital, Boston, MA, United States; 2Virginia-Tech Wake Forest School of Biomedical Engineering, Winston-Salem, NC, United States; 3Global Applied Science Laboratory, GE Healthcare, Beijing, China, People's Republic of
GESTE is a robust method of ghost correction that employs temporal encoding with parallel imaging. In this work we demonstrate that the temporal encoding requirements can be applied across the slice dimension in a single volume acquisition. Working from the assumption that the signal changes slowly across slices, this enables accurate GRAPPA parameters to be estimated and used in a GESTE-style image reconstruction pipeline. The method is shown to be effective in in-vivo brain EPI images, with only minimal errors introduced compared to a standard GESTE reconstruction.