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.
Win cash prizes and have your live script featured on our websiteLearn more
Download apps, toolboxes, and other File Exchange content using Add-On Explorer in MATLAB.