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Engineering Seminar Series: \"Beat Pilot Tone: Wireless Radio-Frequency Motion Sensing in MRI at Arbitrary Frequencies,\" featuring Michael (Miki) Lustig, Ph.D.", "event_subtitle":"\"Beat Pilot Tone: Wireless Radio-Frequency Motion Sensing in MRI at Arbitrary Frequencies,\" featuring Michael (Miki) Lustig, Ph.D.", "event_type":"Workshop \/ Seminar", "event_type_id":"21", "description":"Abstract:\r\nMotion in Magnetic Resonance Imaging (MRI) scans causes image corruption and remains a barrier to clinical imaging. We propose Beat Pilot Tone (BPT), a simple serendipitous system exploitation that turns any MRI receiver chain into a radio frequency (RF) motion sensing system that can operate at arbitrary frequencies (up to several GHz). Our contact-free system can be implemented on any MRI scanner regardless of field strength. Through electromagnetic field simulations and experiments, we explain BPT\u2019s novel mechanism: two or more transmitted RF tones form motion-modulated standing wave patterns that are sensed by the same receiver coil arrays used for MR imaging. These waves are incidentally mixed by intermodulation and digitized simultaneously to the MRI data. BPT achieves an order of magnitude greater sensitivity to motion than other methods in detecting and separating common motion types (respiratory, bulk, cardiac, and head motion) in volunteers. Moreover, BPT offers tunable sensitivity to motion based on the transmit frequencies; at microwave frequencies, BPT can detect millimeter-scale vibrations (ballistocardiograms). With multiple antennas and frequency-multiplexing, BPT can operate as a multiple-input multiple-output (MIMO) system. BPT significantly expands the capability of any MRI system, paving the way toward multi-modality, motion-robust, and simultaneous RF and MR imaging.\r\n\r\nBio:\r\nMichael (Miki) Lustig is a Professor of Electrical Engineering and Computer Sciences at UC Berkeley. He joined the faculty in 2010. Miki received his B.Sc. in Electrical Engineering from the Technion, Israel Institute of Technology in 2002. He received his Msc and Ph.D. in Electrical Engineering from Stanford University in 2004 and 2008, respectively. His research focuses on computational imaging methods in Magnetic Resonance Imaging (MRI). His contribution to the field include the application of compressed sensing to MRI, motion correction methods and the development of flexible MRI receiver coils \u2014 all with significant focus towards rapid imaging of pediatric patients. 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