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Abstract #4252

Self-navigated real-time motion tracking of the abdomen in free-breathing single-shot EPI data using the Extended Kalman Filter.

Nathan White1, Josh Kuperman1, Neal Corson1, Kazim Narisinh1, Hauke Bartsch1, David Karow1, Ajit Shankaranarayanan 2, and Anders Dale1,3

1Department of Radiology, University of California, San Diego, San Diego, CA, United States, 2Global Applied Sciences Lab, GE Healthcare, Menlo Park, CA, United States, 3Department of Neuroscience, University of California, San Diego, San Diego, CA, United States

Free-breathing single-shot EPI data in the abdomen is confounded by respiratory motion artifact. Previous work has demonstrated the utility of using the Extended Kalman Filter (EKF) for real-time image-based tracking of spiral-navigated scans in brain. This this study we demonstrate the feasibility of using the EKF framework for real-time self-navigated motion tracking in the abdomen.

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