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A Practical Acceleration Algorithm for Real-Time Imaging

delete2009-12-01
delete23
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OA
AI
U
Uygar Sümbül *
J
Juan M. Santos
J
John M. Pauly
DOI:10.1109/TMI.2009.2030474delete
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Abstract

Abstract

En 中文
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:
Auto-calibration
dynamic magnetic resonance imaging (MRI)
Kalman filtering
non-Cartesian MRI
real-time MRI

Journal

IEEE Transactions on Medical Imaging cover
IEEE Transactions on Medical Imaging
IF:
9.8
Papers:
6.2K
Citations:
3.7W

Organization

S
Stanford University
Scholars:
9.6W
Papers: 8.2W
Citations: 17.0W