Multi-shot interleaved EPI is an effective method to acquire high-resolution and less distorted diffusion weighted images, but with relatively low acquisition efficiency, especially for diffusion tensor imaging. Here, a novel model-based reconstruction is proposed for accelerated multi-shot diffusion imaging with simultaneous multi-slice (SMS) and partially parallel imaging (PPI). The method can directly estimate diffusion tensors from the undersampled k-space data, by integrating information of all shots and diffusion encoding directions. Simulation and in-vivo experiment demonstrated that the proposed method can achieve higher acceleration efficiency and improved accuracy in tensor estimation compared with conventional 2D GRAPPA.
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