Uygar Smbl1, John Mark Pauly1
1Electrical Engineering, Stanford University, Stanford, CA, USA
A causal, continuously auto-calibrating acceleration algorithm is presented for dynamic MRI. The algorithm does not need any extra data acquisition to calibrate itself and works with arbitrary readout trajectories. The reconstruction is fast and it adapts almost instantaneously to changing imaging parameters. Therefore the algorithm is suitable for applications such as catheter tracking and image guided therapy. In-vivo cardiac MRI results demonstrate that the algorithm decreases the temporal blur when compared to the sliding window reconstruction.