Manifold Recovery Using Kernel Low-Rank Regularization: Application to Dynamic Imaging

In this paper, we introduce a novel kernel low-rank algorithm to recover free-breathing and ungated dynamic MRI data from highly undersampled measurements. The image frames in the free breathing and ungated dataset are assumed to be points on a bandlimited manifold. We show that the nonlinear features of these images satisfy annihilation conditions, which implies that the kernel matrix derived fro...