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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