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 Dale^1,3

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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