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Abstract #3340

Simultaneous Multi-Slice Diffusion MR Reconstruction using Coil-Combined Split Slice-GRAPPA

Kazem Hashemizadeh1, Rong-Rong Chen1, Edward V. R. DiBella1,2, Leslie Ying3, and Ganesh Adluru2

1ECE, University of Utah, SALT LAKE CITY, UT, United States, 2Radiology and Imaging Science, University of Utah, SALT LAKE CITY, UT, United States, 3Department of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, NY, United States

Simultaneous multi-slice (SMS) acquisition accelerates diffusion MR imaging by acquiring multiple slices simultaneously. In this work, we propose a new method, termed coil-combined split slice-GRAPPA (CC-SSG), to improve the quality of SMS diffusion imaging reconstruction. By optimizing split-slice-GRAPPA (SSG) kernels specifically for coil combining, our approach allows for a better trade-off for suppressing inter-slice and intra-slice leakages and minimizes the mean-square-error (MSE) of coil-combined images. The proposed CC-SSG method improves the estimation of diffusion tensor imaging (DTI) parameters over existing methods.

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