Free-Breathing & Ungated Cardiac MRI Using Iterative SToRM (i-SToRM).

ABSTRACT: We introduce a local manifold regularization approach to recover dynamic MRI data from highly undersampled measurements. The proposed scheme relies on the manifold structure of local image patches at the same spatial location in a free-breathing cardiac MRI dataset; this approach is a generalization of the SmooThness Regularization on Manifolds (SToRM) scheme that exploits the global manifold structure of images in the dataset. Since the manifold structure of the patches varies depending on the spatial location and is often considerably simpler than the global one, this approach significantly reduces the data demand, facilitating the recovery from shorter scans. Since the navigator-based estimation of manifold structure pursued in SToRM is not feasible in this setting, a reformulation of S

SUBMITTER: Mohsin YQ 

PROVIDER: S-EPMC7893810 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature