Recently, simultaneous multi-slice (SMS) has been proved to be effective for accelerating single-shot EPI (ssh-EPI) based diffusion weighted imaging (DWI). More importantly, SMS can be combined with multi-shot interleaved EPI (iEPI) DWI to achieve high resolution and high throughput simultaneously. However, signal dropout problems may exist in the final DW images, especially at high SMS acceleration factors. The main reason is the prominent cerebrospinal fluid (CSF) pulsation, which may degrade the reconstruction performance. In this study, the reconstruction algorithm is augmented by using iteration and data rejection. In-vivo experiments have demonstrated that the augmented algorithm can effectively alleviate the signal dropout problems.