Literature DB >> 30803023

Brain imaging with improved acceleration and SNR at 7 Tesla obtained with 64-channel receive array.

Kamil Uğurbil1, Edward Auerbach1, Steen Moeller1, Andrea Grant1, Xiaoping Wu1, Pierre-Francois Van de Moortele1, Cheryl Olman1, Lance DelaBarre1, Scott Schillak2, Jerahmie Radder1, Russell Lagore1, Gregor Adriany1.   

Abstract

PURPOSE: Despite the clear synergy between high channel counts in a receive array and magnetic fields ≥ 7 Tesla, to date such systems have been restricted to a maximum of 32 channels. Here, we examine SNR gains at 7 Tesla in unaccelerated and accelerated images with a 64-receive channel (64Rx) RF coil.
METHODS: A 64Rx coil was built using circular loops tiled in 2 separable sections of a close-fitting form; custom designed preamplifier boards were integrated into each coil element. A 16-channel transmitter arranged in 2 rows along the z-axis was employed. The performance of the 64Rx array was experimentally compared to that of an industry-standard 32-channel receive (32Rx) array for SNR in unaccelerated images and for noise amplification under parallel imaging.
RESULTS: SNR gains were observed in the periphery but not in the center of the brain in unaccelerated imaging compared to the 32Rx coil. With either 1D or 2D undersampling of k-space, or with slice acceleration together with 1D undersampling of k-space, significant reductions in g-factor noise were observed throughout the brain, yielding effective gains in SNR in the entire brain compared to the 32Rx coil. Task-based FMRI data with 12-fold 2D (slice and phase-encode) acceleration yielded excellent quality functional maps with the 64Rx coil but was significantly beyond the capabilities of the 32Rx coil.
CONCLUSION: The results confirm the expectations from modeling studies and demonstrate that whole-brain studies with up to 16-fold, 2D acceleration would be feasible with the 64Rx coil.
© 2019 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  RF coils; functional imaging; multiband; neuroimaging; parallel imaging; simultaneous multislice

Mesh:

Year:  2019        PMID: 30803023      PMCID: PMC6491243          DOI: 10.1002/mrm.27695

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


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