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Abstract #4524

Retrospective motion correction for carotid vessel wall imaging

Rui Li 1 , Shujing Cao 1 , Feng Huang 2 , and Chun Yuan 1,3

1 Center for Biomedical Imaging Research, Tsinghua University, Beijing, Beijing, China, 2 Philips Research China, Shanghai, China, 3 University of Washington, Seattle, Washington, United States

Carotid vessel wall magnetic resonance imaging (MRI) has been validated to discriminate different components in plaques and evaluate their vulnerability. Patient motion such as breathing and swallow is inevitable during acquisition. Navigator echo or self-gating techniques were explored by several previous works to monitor swallowing. However all these techniques are prospective methods and adopted accept/reject-reacquisition as their data management strategy, which interrupted data acquisition and prolonged scan duration. The target of this work is to develop a retrospective motion compensation method iteratively using a GRAPPA like convolution and optimized coil element data combination to preserve SNR during iteration.

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