Xue Feng1, Michael Salerno2, Christopher M. Kramer2, 3, Craig H. Meyer1, 3
1Biomedical Engineering, University of Virginia, Charlottesville, VA, United States; 2Medicine, University of Virginia, Charlottesville, VA, United States; 3Radiology, University of Virginia, Charlottesville, VA, United States
In dynamic MRI, spatial and temporal parallelism are exploited to reduce scan time. A real-time reconstruction is sometimes necessary for timely feedback during the scan. In this study a Kalman filter model suitable for real-time reconstruction is used to increase the temporal resolution. The original application of the Kalman filter to dynamic MRI was limited to non-Cartesian trajectories; here we overcome this limitation and apply the model to the more commonly used Cartesian trajectory. Furthermore, we combine the Kalman model with spatial parallel imaging techniques to further increase the spatial and temporal resolution and SNR.