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Diffusion-weighted MRI (DWI) is an essential tool in clinical applications such as detecting ischemic stroke, and in research applications studying neuronal connectiv-ity in the brain. Diffusion-weighted imaging with multi-shot echo-planar acquisition (DWEPI) offers several advantages over single-shot EPI, including improved spatial resolution and reduced off-resonance and susceptibility artifacts. However a major limitation of multi-shot DWEPI is its sensitivity to patient motion during the ap-plication of diffusion gradients; the motion generates phase errors which vary from shot to shot, resulting in artifacts in the reconstructed image. Most current methods for correcting motion-induced artifacts involve the use of navigator echoes to estimate the shot-to-shot phase errors. Accurate navigator information comes at the expense of increased scan times however, which is generally undesirable. The aim of this study is to therefore develop and demonstrate the use of an alternative phase estimation technique, iterative phase-cycling, as a new method to correct motion artifacts in DWI without the use of navigators. The develope