A practical acceleration algorithm for real-time imaging

Author(s)
Sumbul, Uygar; Santos, Juan M.; Pauly, John M.
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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.
Date issued
2009-11
URI
http://hdl.handle.net/1721.1/61361
Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Journal
IEEE transactions on medical imaging
Publisher
Institute of Electrical and Electronics Engineers
Citation
Sumbul, U., J.M. Santos, and J.M. Pauly. “A Practical Acceleration Algorithm for Real-Time Imaging.” Medical Imaging, IEEE Transactions on 28.12 (2009): 2042-2051. Copyright © 2009, IEEE
Version: Final published version
Other identifiers
INSPEC Accession Number: 10995365
ISSN
0278-0062
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