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Abstract #3858

Self-Calibrated Non-Cartesian Multi-shot Diffusion Imaging

Merry Mani1, Arnaud Guidon2, Baolian Yang2, Vincent Magnotta1, and Mathews Jacob3

1Radiology, University of Iowa, Iowa City, IA, United States, 2GE Healthcare, 3Electrical and Computer Engineering, University of Iowa, Iowa City, IA, United States

Non-Cartesian multi-shot sequences (e.g. spiral) offer several benefits over Cartesian counterparts in the context of high spatial resolution diffusion weighted imaging (DWI), including reduced B0 & T2* artifacts, as well as improved SNR resulting from lower TE. However, their main drawback of the above scheme is the sensitivity of the multi-shot imaging to motion artifacts. To achieve motion compensation, the multi-shot reconstruction methods rely on a phase-calibration procedure, during which an estimate of motion induced phase map is computed. Not only is the phase-calibration step time consuming, it also involves heavy optimization of parameters. The main focus of this work is to develop a phase calibration-free motion-compensated reconstruction for multi-shot non-Cartesian diffusion imaging.

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