Temporal resolution is an important factor in dynamic enhanced contrast (DCE) MRI. Time-resolved angiography with interleaved stochastic trajectories (TWIST) has been widely used due to its improved temporal and spatial resolution. However, the temporal resolution of TWIST imaging is not a true one because of the view sharing. To provide more improved temporal resolution, we proposed a novel reconstruction algorithm based annihilating filter-based low rank Hankel matrix approach (ALOHA) which exploits the fundamental duality between sparsity in transform domain and low-rankness of Hankel matrix constructed using k-space data. Experimental result using in-vivo data showed the significantly improved temporal resolution than the conventional reconstruction.
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