Title :
A Practical Acceleration Algorithm for Real-Time Imaging
Author :
Sümbül, Uygar ; Santos, Juan M. ; Pauly, John M.
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., Stanford, CA, USA
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.
Keywords :
Kalman filters; biomedical MRI; image reconstruction; medical image processing; Kalman filter based algorithm; arbitrary readout trajectory; causal reconstruction; dynamic MRI acquisitions; in vivo cardiac MRI experiments; practical acceleration algorithm; real-time magnetic resonance imaging; Acceleration; Filtering; Image reconstruction; In vivo; Kalman filters; Magnetic resonance imaging; Magnetic separation; Pixel; Spatial resolution; Testing; Auto-calibration; Kalman filtering; dynamic magnetic resonance imaging (MRI); non-Cartesian MRI; real-time MRI; Algorithms; Computer Systems; Image Enhancement; Image Interpretation, Computer-Assisted; Magnetic Resonance Imaging; Reproducibility of Results; Sensitivity and Specificity; Time Factors;
Journal_Title :
Medical Imaging, IEEE Transactions on
DOI :
10.1109/TMI.2009.2030474
