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Real-Time Filtering with Sparse Variations for Head Motion in Magnetic Resonance Imaging

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Estimating a time-varying signal, such as head motion from magnetic resonance imaging data, becomes particularly challenging in the face of other temporal dynamics such as functional activation. This paper describes a new Kalman filter-like framework that incl... ...