Meeting Banner
Abstract #2945

High Frame Rate Cardiac Imaging Using Kalman Filtering

Smbl U, Santos J, Pauly J
Stanford University

We develop acquisition and reconstruction methods for real-time cardiac imaging that exploit the redundancy in the temporal direction. We sample less than 60% of a whole frame and try to estimate the missing parts using a Kalman filter. To obtain a corresponding reduction in scan time, and hence a corresponding increase in frame rate, we use a special trajectory to sample a four-interleave spiral image in two excitations. Our reconstruction videos run at twice the frame rate of that of the corresponding conventional real-time imaging method. This method can be combined with other common intra- and inter-frame speed-up techniques.