Multi-site benchmarking of clinical 13C RF coils at 3T

Juan Diego Sánchez-Heredia, Rie Beck Olin, Mary A. McLean, Christoffer Laustsen, Adam E. Hansen, Lars G. Hanson, Jan Henrik Ardenkjær-Larsen*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

A quality assurance protocol for RF coils is proposed, which can be used for volume (Tx/Rx) and surface (Rx) coils. Following this protocol, a benchmarking of seven coils (from three different MR sites) dedicated to 13C MRI at 3T is reported. Coil performance is particularly important for 3T MRI at the 13C frequency, since the coil-to-sample noise ratio is typically high. The coils are evaluated experimentally using the proposed protocol based on MR spectroscopic imaging performed with two different phantoms: one head-shaped, and one with cylindrical shape and nearly twice the volume of the first one. To achieve an unbiased SNR comparison of volume and array coils, coil combination was done using sensitivity profiles extracted from the data. SNR, noise correlation matrices and example g-factor maps are reported. For globally calibrated, equal excitation angles, the measured SNR shows large differences for the volume coils of up to 115% at the phantom center for a head phantom. The arrays show lower differences in superficial SNR. The sample surface depth at which the volume coils outperform the arrays is estimated to 7 cm, and SNR furthest away from the coil surface is 28% lower for the best array compared to the best volume coil. A broad set of coils for 13C at 3T have been benchmarked. The results reported, and the method used to benchmark them, should guide the 13C community to choose the most suitable coil for a given experiment.
Original languageEnglish
Article number106798
JournalJournal of Magnetic Resonance
Volume318
Number of pages11
ISSN1090-7807
DOIs
Publication statusPublished - 2020

Keywords

  • RF coil
  • SNR
  • 13C MRI
  • Hyperpolarization
  • Quality assurance
  • Parallel imaging

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