Abstract #2420

Lustig M, Santos J, Donoho D, Pauly J

A method for high frame-rate dynamic imaging exploiting the spatio-temporal sparsity of dynamic MRI sequence of images(scene) is proposed. The k-t space is randomly sampled by random ordering of the phase encodes in time. The dynamic scene is reconstruct by minimizing the L_1 norm of a transformed dynamic scene subject to data fidelity constraints. The proposed method does not require a known structure nor a training set, only that the dynamic scene has a sparse representation. A 7-fold frame-rate acceleration is demonstrated in simulated data and in vivo non-gated Cartesian balanced-SSFP cardiac MRI