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Abstract #2348

Low Latency Real-Time MRI at 0.55T using Self-Calibrating Through-Time GRAPPA

Prakash Kumar1, Yongwan Lim1, and Krishna S. Nayak1
1Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States


Real-time MRI (RT-MRI) captures movements and dynamic processes in the human body as they occur, without reliance on any repetition or synchronization. Many applications of RT-MRI require low-latency reconstruction for feedback or interventions (typically <200ms). Here, we investigate self-calibrating spiral Through-Time GRAPPA at 0.55T and compare its performance against viewsharing and constrained reconstruction methods. We use longer readouts, which can be used at low-field due to reduced off-resonance effects. We demonstrate RT-MRI of speech production with 13.09ms temporal resolution and 25ms reconstruction latency (after a 30s pre-computed calibration step).

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