DocumentCode
1402804
Title
An Analytic Framework for the Evaluation of Coil Configurations for Parallel Transmission MRI With Subsampled Cartesian Excitation k -Space
Author
Morrell, Glen R.
Author_Institution
Dept. of Radiol., Univ. of Utah, Salt Lake City, UT, USA
Volume
29
Issue
2
fYear
2010
Firstpage
523
Lastpage
530
Abstract
The use of multiple independent simultaneous radio-frequency (RF) transmitters and coils, known as parallel transmission, has the potential to make multidimensional excitation applicable to a wide range of magnetic resonance imaging applications. The sensitivity profile of the RF coils in a parallel transmission system determines the performance of the system. We present a theoretical framework, allowing the evaluation of the performance of a coil array for parallel transmission. We show through theoretical analysis and Monte Carlo simulation that the proposed framework predicts the fidelity of excitation that can be achieved by a given coil configuration in the presence of noise in the measured coil sensitivity profiles. We evaluate the fidelity of excitation achieved by four candidate coil configurations for a four-channel parallel transmission system with noisy coil sensitivity estimates. Theoretical results are confirmed with Monte Carlo simulation. The results give insight into the design of coil configurations for parallel transmission. In particular, optimal fidelity of excitation for subsampled Cartesian excitation k -space is achieved with a coil sensitivity profile having uniform amplitude and increasing linear phase for each channel. Such sensitivity profiles may be achieved with twisted birdcage coil designs.
Keywords
Monte Carlo methods; biomedical MRI; coils; Monte Carlo simulation; coil configurations; magnetic resonance imaging; multidimensional excitation; optimal fidelity; parallel transmission MRI; radiofrequency transmitters; sensitivity profile; subsampled Cartesian excitation k-space; Cities and towns; Coils; Magnetic analysis; Magnetic resonance imaging; Multidimensional systems; Noise measurement; Radio frequency; Radio transmitters; Radiofrequency identification; Radiology; Magnetic resonance imaging; multidimensional excitation; parallel transmission; Algorithms; Computer Simulation; Magnetic Resonance Imaging; Models, Theoretical; Monte Carlo Method; Reproducibility of Results; Sensitivity and Specificity;
fLanguage
English
Journal_Title
Medical Imaging, IEEE Transactions on
Publisher
ieee
ISSN
0278-0062
Type
jour
DOI
10.1109/TMI.2009.2037496
Filename
5405645
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