A Practical Acceleration Algorithm for Real-Time Imaging

A Practical Acceleration Algorithm for Real-Time Imaging

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 traje...

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Veröffentlicht in:IEEE transactions on medical imaging 2009-12, Vol.28 (12), p.2042-2051
Hauptverfasser: Sumbul, U., Santos, J.M., Pauly, J.M.
Format: Artikel
Sprache:eng
Schlagworte:
Acceleration
Algorithms
Auto-calibration
Computer Systems
dynamic magnetic resonance imaging (MRI)
Filtering
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Image reconstruction
In vivo
Kalman filtering
Kalman filters
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Magnetic separation
non-Cartesian MRI
Pixel
real-time MRI
Reproducibility of Results
Sensitivity and Specificity
Spatial resolution
Testing
Time Factors
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Zusammenfassung: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.
ISSN:0278-0062
1558-254X
DOI:10.1109/TMI.2009.2030474