Literature DB >> 33780032

A self-decoupled 32-channel receive array for human-brain MRI at 10.5 T.

Nader Tavaf1, Russell L Lagore1, Steve Jungst1, Shajan Gunamony2, Jerahmie Radder1, Andrea Grant1, Steen Moeller1, Edward Auerbach1, Kamil Ugurbil1, Gregor Adriany1, Pierre-Francois Van de Moortele1.   

Abstract

PURPOSE: Receive array layout, noise mitigation, and B0 field strength are crucial contributors to SNR and parallel-imaging performance. Here, we investigate SNR and parallel-imaging gains at 10.5 T compared with 7 T using 32-channel receive arrays at both fields.
METHODS: A self-decoupled 32-channel receive array for human brain imaging at 10.5 T (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 with the performance of an industry-standard 32-channel receiver at 7 T (7T-32Rx) through experimental phantom measurements.
RESULTS: Compared with 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 = 4 × 4 2D acceleration, resulting in significantly enhanced parallel-imaging performance at 10.5 T compared with 7 T. The g-factor values of 10.5 T-32 Rx were on par with those of a 64-channel receiver at 7 T (eg, 1.8 vs 1.9, respectively, with R = 4 × 4 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 10.5 T compared with 7 T.
© 2021 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  RF coils; noise correlation; parallel imaging; receive array; self-decoupling; ultrahigh-field MRI

Year:  2021        PMID: 33780032     DOI: 10.1002/mrm.28788

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  2 in total

1.  ULTRAHIGH FIELD and ULTRAHIGH RESOLUTION fMRI.

Authors:  Kamil Uğurbil
Journal:  Curr Opin Biomed Eng       Date:  2021-04-14

2.  Ultra-high field (10.5T) diffusion-weighted MRI of the macaque brain.

Authors:  Mark D Grier; Essa Yacoub; Gregor Adriany; Russell L Lagore; Noam Harel; Ru-Yuan Zhang; Christophe Lenglet; Kâmil Uğurbil; Jan Zimmermann; Sarah R Heilbronner
Journal:  Neuroimage       Date:  2022-04-13       Impact factor: 7.400

  2 in total

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