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Journal article · Ahead of Print article

Improved Decoupling for Low Frequency MRI Arrays using Non-conventional Preamplifier Impedance

From

Magnetic Resonance, Department of Health Technology, Technical University of Denmark1

Department of Health Technology, Technical University of Denmark2

Center for Hyperpolarization in Magnetic Resonance, Centers, Technical University of Denmark3

Electromagnetic Systems, Department of Electrical Engineering, Technical University of Denmark4

Department of Electrical Engineering, Technical University of Denmark5

Aarhus University6

Objective: In this study, we describe a method to improve preamplifier decoupling in low frequency MRI receive coil arrays, where sample loading is low and coils exhibit a high Q-factor. Methods: The method relies on the higher decoupling obtained when coils are matched to an impedance higher than 50 Ω.

Preamplifiers with inductive (and low resistive) input impedance, increase even further the effectiveness of the method. Results: We show that for poorly sample loaded coils, coupling to other elements in an array is a major source of SNR degradation due to a reduction of the coil Q-factor. An 8-channel 13C array at 32 MHz for imaging of the human head has been designed following this strategy.

The improved decoupling even allowed constructing the array without overlapping of neighboring coils. Parallel imaging performance is also evaluated demonstrating a better spatial encoding of the array due to its non-overlapped geometry. Conclusion: The proposed design strategy for coil arrays is beneficial for low frequency coils where the coil thermal noise is dominant.

The method has been demonstrated on an 8-channel array for the human head for 13C MRI at 3 T (32 MHz), with almost 2-fold SNR enhancement when compared to a traditional array of similar size and number of elements. Significance: The proposed method is of relevance for low frequency arrays, where sample loading is low, and noise correlation is high due to insufficient coil decoupling.

Language: English
Publisher: IEEE
Year: 2019
Pages: 1940-1948
ISSN: 15582531 and 00189294
Types: Journal article and Ahead of Print article
DOI: 10.1109/TBME.2018.2881203
ORCIDs: 0000-0001-5512-9870 , 0000-0002-0317-2911 , Sanchez, Juan Diego , Johansen, Daniel Højrup , Hansen, Rie Beck , Zhurbenko, Vitaliy and Ardenkjær-Larsen, Jan Henrik

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