title: A practical acceleration algorithm for real-time imaging.
abstract: A practical acceleration algorithm for real-time magnetic resonance imaging (MRI) is presented. Neither separate training scans nor embedded training samples are used. The Kalman filter based algorithm provides a fast and causal reconstruction of dynamic MRI acquisitions with arbitrary readout trajectories. The algorithm is tested against abrupt changes in the imaging conditions and offline reconstructions of in vivo cardiac MRI experiments are presented.
authors.affiliation: Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA. uygar@mit.edu
authors.forename: Uygar
authors.initials: U
authors.lastname: Sümbül
authors.forename: Juan M
authors.initials: JM
authors.lastname: Santos
authors.forename: John M
authors.initials: JM
authors.lastname: Pauly
mesh_terms: D000465:Algorithms; D003199:Computer Systems; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013997:Time Factors