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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