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Abstract #2591

Real-Time Motion Extraction from 2D Image-Based Navigators in Under 20 Milliseconds: An Integrated 2D Navigator Image Processing During MR Data Acquisition

Keigo Kawaji1, 2, Pascal Spincemaille3, Thanh D. Nguyen3, Mitchell A. Cooper1, 3, Martin R. Prince3, Yi Wang1, 3

1Department of Biomedical Engineering, Cornell University, New York, NY, United States; 2Department of Medicine, Beth Israel Deaconess Med. Ctr. and Harvard Medical School, Boston, MA, United States; 3Department of Radiology, Weill Cornell Medical College, New York, NY, United States

2D navigator image processing during MR data acquisition for real-time motion tracking applications such as prospectively gated and/or motion corrected coronary artery imaging is severely constrained by a short processing window of <50 ms for motion extraction. We present a real-time and interactive processing method that performs on a standard clinical hardware which does not require any additional dedicated hardware components for processing. This approach allows interactive 2D navigator setup by the scanner operator during data acquisition, facilitates rapid motion extraction from raw 2D navigator k-space data, and adjusts the scan instruction within 20 milliseconds based on the extracted motion information.