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Abstract #4263

3D Dual-Polarity GRAPPA for Ghost Correction of Volumetric Echo-Planar Imaging Data

W. Scott Hoge1, Yulin Chang2, Zhangxuan Hu3, Benedikt A Poser4, and Jonathan R Polimeni3,5,6
1SigProc Expert Solutions, Westwood, MA, United States, 2Siemens Medical Solutions USA Inc, Malvern, PA, United States, 3Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 4Maastricht University., Maastricht, Netherlands, 5Radiology, Harvard Medical School, Boston, MA, United States, 6Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States

Synopsis

Keywords: Artifacts, Artifacts, Nyquist Ghost Correction

Motivation: 3D-EPI suffers from inherent sampling errors, similar to conventional 2D-EPI, which result in Nyquist ghosting and shading artifacts that arise from non-linear phase errors in the sampled data.

Goal(s): To demonstrate that the Dual-Polarity GRAPPA (DPG) reconstruction method can be extended and applied effectively to 3D-EPI data.

Approach: We modified the DPG kernel to extend to all three sampling directions, to better accomodate 3D-EPI data.

Results: Phantom and in-vivo data demonstrate that DPG provides reconstructed images with lower levels of ghost artifacts and reduced artifacts from non-linear phase errors. This extension to DPG will enable high-fidelity reconstructions in future 3D-EPI applications.

Impact: Our extension of Dual-Polarity GRAPPA to a 3D reconstruction kernel can improve image quality for 3D-EPI applications, providing higher fidelity and fewer artifacts than current conventional methods for improved imaging performance in emerging high-resolution fMRI and ultra-high-field imaging applications.

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Keywords