A Novel Iterative Shrinkage Algorithm for CS-MRI via Adaptive Regularization.

A new algorithm is proposed for compressed sensingmagnetic resonance imaging (CS-MRI). The lp-norm (0 <; p ≤ 1) based adaptive regularization model is used for MRI. The algorithm is established by using a novel iterative shrinkage scheme. In the iteration, the quasi-Newton method is employed. In the shrinkage, the threshold is defined varyingly. Also, the parameter p is selected dynamically in the...