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Abstract #0469

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

Zhe Wu1 and Kâmil Uludağ1,2,3
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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