Shahab Babapour - Faculty of Mathematical Sciences, University of Tabriz, Tabriz, Iran
Mehrdad Lakestani - Faculty of Mathematical Sciences, University of Tabriz, Tabriz, Iran

In this paper we present a new algorithm for sparse MRI. The idea is to improve the FISTA method using a new continuation strategy leading to a less number of iterations compared to FISTA. Proposed method is used for solving basis pursuit problem which can be applied on compressive sensing MRI. Numerical experiences show the efficiency of the presented method

Proximal algorithms, Compressed sensing, L1 minimization, Basis pursuit