This paper presents a novel approach for filteringfunctional Magnetic Resonance Imaging (fMRI) data streamsusing Bayesian techniques, specifically designed for real-timeRadio Frequency (RF) control loops. We implement and comparetwo primary filtering methods: causal Kalman filtering for realtime applications and non-causal Gaussian smoothing for optimalpost-processing analysis. Our results demonstrate that Bayesianfiltering techniques can significantly improve the signal-to-noiseratio … Continue reading Bayesian-Filtered fMRI Streams for RF Control Loops