Free-Breathing and Ungated Dynamic MRI Using Navigator-Less Spiral SToRM.

ABSTRACT: We introduce a kernel low-rank algorithm to recover free-breathing and ungated dynamic MRI from spiral acquisitions without explicit k-space navigators. It is often challenging for low-rank methods to recover free-breathing and ungated images from undersampled measurements; extensive cardiac and respiratory motion often results in the Casorati matrix not being sufficiently low-rank. Therefore, we exploit the non-linear structure of the dynamic data, which gives the low-rank kernel matrix. Unlike prior work that rely on navigators to estimate the manifold structure, we propose a kernel low-rank matrix completion method to directly fill in the missing k-space data from variable density spiral acquisitions. We validate the proposed scheme using simulated data and in-vivo data. Our results sho

SUBMITTER: Ahmed AH 

PROVIDER: S-EPMC7806246 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature