A Self-Decoupled 32 Channel Receive Array for Human Brain Magnetic Resonance Imaging at 10.5T
| Autor: | Tavaf, Nader, Lagore, Russell L., Jungst, Steve, Gunamony, Shajan, Radder, Jerahmie, Grant, Andrea, Moeller, Steen, Auerbach, Edward, Ugurbil, Kamil, Adriany, Gregor, Van de Moortele, Pierre-Francois |
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| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | Magn Reson Med. 2021 pp 1-14 |
| Druh dokumentu: | Working Paper |
| DOI: | 10.1002/mrm.28788 |
| Popis: | Purpose: Receive array layout, noise mitigation and B0 field strength are crucial contributors to signal-to-noise ratio (SNR) and parallel imaging performance. Here, we investigate SNR and parallel imaging gains at 10.5 Tesla (T) compared to 7T using 32-channel receive arrays at both fields. Methods: A self-decoupled 32-channel receive array for human brain imaging at 10.5T (10.5T-32Rx), consisting of 31 loops and one cloverleaf element, was co-designed and built in tandem with a 16-channel dual-row loop transmitter. Novel receive array design and self-decoupling techniques were implemented. Parallel imaging performance, in terms of SNR and noise amplification (g-factor), of the 10.5T-32Rx was compared to the performance of an industry-standard 32-channel receiver at 7T (7T-32Rx) via experimental phantom measurements. Results: Compared to the 7T-32Rx, the 10.5T-32Rx provided 1.46 times the central SNR and 2.08 times the peripheral SNR. Minimum inverse g-factor value of the 10.5T-32Rx (min(1/g) = 0.56) was 51% higher than that of the 7T-32Rx (min(1/g) = 0.37) with R=4x4 2D acceleration, resulting in significantly enhanced parallel imaging performance at 10.5T compared to 7T. The g-factor values of 10.5T-32Rx were on par with those of a 64-channel receiver at 7T, e.g. 1.8 versus 1.9, respectively, with R=4x4 axial acceleration. Conclusion: Experimental measurements demonstrated effective self-decoupling of the receive array as well as substantial gains in SNR and parallel imaging performance at 10.5T compared to 7T. Comment: to be published in Magnetic Resonance in Medicine |
| Databáze: | arXiv |
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