ENLIVE: An Efficient Nonlinear Method for Calibrationless and Robust Parallel Imaging.

ABSTRACT: Robustness against data inconsistencies, imaging artifacts and acquisition speed are crucial factors limiting the possible range of applications for magnetic resonance imaging (MRI). Therefore, we report a novel calibrationless parallel imaging technique which simultaneously estimates coil profiles and image content in a relaxed forward model. Our method is robust against a wide class of data inconsistencies, minimizes imaging artifacts and is comparably fast, combining important advantages of many conceptually different state-of-the-art parallel imaging approaches. Depending on the experimental setting, data can be undersampled well below the Nyquist limit. Here, even high acceleration factors yield excellent imaging results while being robust to noise and the occurrence of phase singular

SUBMITTER: Holme HCM 

PROVIDER: S-EPMC6395635 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature