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Abstract #0578

Magnetic Resonance SIGnature MAtching (MRSIGMA) for Real-Time Volumetric Motion Tracking

Li Feng1 and Ricardo Otazo1,2

1Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 2Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States

New MR-Linac systems allow for simultaneous imaging and radiation-treatment, and hold great promise for adaptive radiation-treatment of moving organs. However, even with the latest MRI acquisition and reconstruction technologies, tracking volumetric motion in real-time is still challenging. This work describes a novel technique called MR SIGnature MAtching (MRSIGMA), which consists of (1) offline learning, where 3D motion states and corresponding unique rapid signatures are learned; and (2) online matching, where only rapid signature data are acquired to determine corresponding motion states. Initial implementation using golden-angle radial sampling is shown for liver motion tracking with a latency of < 200ms.

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