Multiple regularization based MRI reconstruction
This paper proposes MRI reconstruction based on multiple regularizers. Nonlocal total variation and wavelet are the regularizers used in this work. The Split Bregman method is used to solve the hybrid L1-regularizer. The Split Bregman algorithm makes use of GaussSeidel and Fourier transform methods, it is easily parallelizable and easily coded. The proposed method performs better in terms of reconstruction quality and computational complexity.
nonlocal total variation split bregman algorithm mr image reconstruction compressed sensing