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Abstract #4366

Regularized Image Domain Split Slice-GRAPPA for Simultaneous Multi-Slice Diffusion MR Imaging

SeyyedKazem HashemizadehKolowri1, Rong-Rong Chen1, Ganesh Adluru2,3, and Edward V. R. DiBella1,2,3
1Electrical and Computer Engineering, University of Utah, SALT LAKE CITY, UT, United States, 2Radiology and Imaging Science, University of Utah, SALT LAKE CITY, UT, United States, 3Biomedical Engineering, University of Utah, SALT LAKE CITY, UT, United States

Simultaneous multi-slice (SMS) acquisition combined with blipped controlled aliasing in parallel imaging is commonly used to accelerate diffusion imaging with single-shot EPI sequences. In this work, we propose a new method, termed regularized image domain split slice-GRAPPA (RI-SSG), which allows an efficient image domain implementation of SSG coupled with total variation regularization to improve the quality of SMS reconstruction. We process two single-shot EPI datasets acquired using diffusion protocol of Human Connectome Project in Aging to evaluate performance of SMS reconstructions. The RI-SSG yields less noisy results than SENSE and SSG in estimating diffusion-weighted images and parametric maps of diffusion.

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