Step adaptive fast iterative shrinkage thresholding algorithm for compressively sampled MR imaging reconstruction

In order to accelerate magnetic resonance imaging (MRI) scanning, fast MRI technique based on compressed sensing (CS) was proposed. The shrinkage thresholding algorithm (STA) is an efficient method in related algorithms to decrease the incoherent artifacts produced by the undersampling in k-space directly. The traditional STA uses the fixed iteration step size during the reconstruction progress, and it is not conducive to accelerate the convergence speed. In order to improve global iteration efficiency, in this paper, step adaptive fast iterative shrinkage thresholding algorithm (SAFISTA) was proposed for MRI reconstruction based on STA.

Source: Magnetic Resonance Imaging - June 7, 2018 Category: Radiology Authors: Wei Wang, Ning Cao Source Type: research