Optshrink LR+S: Accelerated fMRI Reconstruction using Non-Convex Optimal Singular Value Shrinkage

Optshrink LR+S method for fMRI reconstruction from undersampled k-t space data.

This code implements Optshrink LR+S algorithm for fMRI data reconstruction as described in the paper, "Optshrink LR+S: Accelerated fMRI Reconstruction using Non-Convex Optimal Singular Value Shrinkage", Brain Informatics, December 2016.
The proposed method reconstructs undersampled fMRI data using a linear combination of low rank and sparse components. The low rank component has been estimated using non-convex optimal singular value shrinkage algorithm, while the sparse component has been estimated using convex l-1 minimization. The
proposed method estimates low rank component with denoising, hence, improve fMRI reconstruction accuracy.