Improved Time Series Reconstruction for Dynamic Magnetic Resonance Imaging

Time series of in vivo magnetic resonance images exhibit high levels of temporal correlation. Higher temporal resolution reconstructions are obtained by acquiring data at a fraction of the Nyquist rate and resolving the resulting aliasing using the correlation information. The dynamic imaging experi...

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Veröffentlicht in:IEEE transactions on medical imaging 2009-07, Vol.28 (7), p.1093-1104
Hauptverfasser: Sumbul, U., Santos, J.M., Pauly, J.M.
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creator Sumbul, U.
Santos, J.M.
Pauly, J.M.
description Time series of in vivo magnetic resonance images exhibit high levels of temporal correlation. Higher temporal resolution reconstructions are obtained by acquiring data at a fraction of the Nyquist rate and resolving the resulting aliasing using the correlation information. The dynamic imaging experiment is modeled as a linear dynamical system. A Kalman filter based unaliasing reconstruction is described for accelerated dynamic magnetic resonance imaging (MRI). The algorithm handles arbitrary readout trajectories naturally. The reconstruction is causal and very fast, making it applicable to real-time imaging. In vivo results are presented for cardiac MRI of healthy volunteers.
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subjects Acceleration
Algorithms
Data acquisition
Dynamic MRI
Fourier Analysis
Heart
Heart - anatomy & histology
Humans
Image Processing, Computer-Assisted - methods
Image reconstruction
Image resolution
Image sampling
In vivo
Kalman filtering
Magnetic resonance imaging
magnetic resonance imaging (MRI)
Magnetic Resonance Imaging - methods
Magnetic separation
non-Cartesian imaging
real-time MRI
Spatial resolution
Time Factors
title Improved Time Series Reconstruction for Dynamic Magnetic Resonance Imaging
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