Real-time cardiac output monitoring is desirable but requires low latency reconstruction and segmentation. A framework based on a spiral real-time flow acquisition and joint deep artifact suppression and segmentation was developed to provide flow volumes with low latency at the scanner. The proposed network was characterized in simulations and the full framework tested at the scanner providing real-time monitoring of flow during exercise. Future work will aim to validate the method in a larger cohort.
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