AN EFFICIENT DYKSTRA-LIKE PROXIMAL ALGORITHM FOR SENSE MODEL SIGNAL RECONSTRUCTION

We consider the problem of the efficient reconstruction from partial Fourier data in Magnetic Resonance (MR) images.Based on Dykstra-like proximal method and Bregman method, we propose an accelerated Dykstra-like proximal algorithm (ADPA-BI) for SENSE model signal reconstruction, and obtain the proof of its convergence property.Our numerical simulations on recovering MR images indicate that the proposed method is more efficient than the classic Split Bregman Iteration (SBI) method.