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Abstract #5055

Robust Elimination of EPI Nyquist Ghosts Via Spatial and Temporal Encoding

W Scott Hoge1, Huan Tan2, Robert A. Kraft2

1Radiology, Brigham and Women's Hospital, Boston, MA, United States; 2Virgina-Tech Wake Forest School of Biomedical Engineering, Winston-Salem, NC, United States

Nyquist ghosts are an inherent artifact in EPI acquisitions. We propose here a method that fuses ghost correctuion methods based on spatial encoding (via multiple coils) and temporal encoding (via cyclic variations in the acquisition sequence). Post acquisition, PLACE is employed to cancel ghosting artifacts in data used to estimate self-referenced parallel MR imaging reconstruction coefficients. The improved pMRI reconstruction coefficients are then employed on each frame, to reconstruct a ghost free image. We demonstrate that this self-referenced approach significantly reduces Nyquist ghosts, and is robust to temporal variations such as magnetic field drift with minimal latency.