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Stack\u2010of\u2010stars with partial <jats:italic>k<\/jats:italic><jats:sub>z<\/jats:sub> sampling was used to accelerate data acquisition and ReconSocket was employed for simultaneous data transmission. Movienet network computed the 4D MRI motion dictionary and correlation analysis was used for signature matching. A programmable 4D MRI phantom was utilized to evaluate MRSIGMA with respect to a ground\u2010truth translational motion reference. In vivo validation was performed on patients with pancreatic cancer, where 15 patients were employed to train Movienet and 7 patients to test the real\u2010time implementation of MRSIGMA. Dice coefficients between real\u2010time MRSIGMA and a retrospectively computed 4D reference were used to evaluate motion tracking performance.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Motion dictionary was computed in under 5\u2009s. Signature acquisition and matching presented 173\u2009ms latency on the phantom and 193\u2009ms on patients. MRSIGMA presented a mean error of 1.3\u20131.6\u2009mm for all phantom experiments, which was below the 2\u2009mm acquisition resolution along the motion direction. The Dice coefficient over time between MRSIGMA and reference contours was 0.88\u2009\u00b1\u20090.02 (GTV), 0.87\u2009\u00b1\u20090.02(duodenum\u2010stomach), and 0.78\u2009\u00b1\u20090.02(small bowel), demonstrating high motion tracking performance for both tumor and organs at risk.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>The real\u2010time implementation of MRSIGMA enabled true real\u2010time free\u2010breathing 3D MRI with sub\u2010200\u2009ms imaging latency on a clinical MR\u2010Linac system, which can be used for treatment monitoring, adaptive radiotherapy and dose accumulation mapping in tumors affected by respiratory 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