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Abstract #1450

SNR Evaluation with High Input Impedance Preamplifier Decoupling Performance for a 2-Layer and 32-Channel Receive Array for Brain Imaging at 7T

Paul-François Gapais1,2, Saadou Almokdad2, Michel Luong3, Eric Giacomini2, Elodie Georget1, and Alexis Amadon2
1Multiwave Imaging SAS, Marseille, France, 2Université Paris-Saclay, CEA, CNRS, BAOBAB, NeuroSpin, Gif-sur-Yvette, France, 3CEA, IRFU, Université Paris-Saclay, Gif-sur-Yvette, France

Synopsis

With the increasing number of elements in receive arrays, the need to accurately predict coil performance is crucial. Decoupling is usually performed with low-input impedance preamplifier decoupling. Recently, new schematics have been proposed that rely on high-input impedance preamplifiers. A simulation method is proposed here to evaluate preamplifier decoupling performance in this context on a 2-layer array at 7T. Results show a strong influence on the thermal SNR according to the impedance presented by the preamplifier to the coil output. The higher this impedance the higher the SNR, but practical implementation need a trade-off between high impedance and noise-matching.

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