A practical acceleration algorithm for real-time imaging
Name
Sumbul-2009-A practical acceleration algorithm for real-time imaging.pdf
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6.35 MB
Format
Adobe PDF
Checksum (MD5)
489a363fdffe779a83eeb43604b290e0
Author(s)
Sumbul, Uygar
Santos, Juan M.
Pauly, John M.
Date Issued
November 2009
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
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.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/TMI.2009.2030474
