Abstract #0469

Motion estimation and correction with joint optimization for wave-CAIPI acquisition

Zhe Wu¹ and Kâmil Uludağ^1,2,3

¹Techna Institute, University Health Network, Toronto, ON, Canada, ²Koerner Scientist in MR Imaging, University Health Network, Toronto, ON, Canada, ³Center for Neuroscience Imaging Research, Institute for Basic Science & Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of

Wave-CAIPI is a recently introduced parallel imaging method with high reduction factor and low g-factor penalty, thus is less prone to motion for the patients who cannot hold steady for long time. This study revealed that wave-CAIPI is still sensitive to during-scan motion, and proposed a joint optimization method to estimate motion and mitigate the introduced artifacts in wave-CAIPI images.

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