Forskning
Udskriv Udskriv
Switch language
Region Hovedstaden - en del af Københavns Universitetshospital
Udgivet

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

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Harvard

APA

CBE

MLA

Vancouver

Author

Bibtex

@article{d5c02f4817024230aca4b52fdf892f6e,
title = "Multi-site benchmarking of clinical 13C RF coils at 3T",
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.",
keywords = "C MRI, Hyperpolarization, Parallel imaging, Quality assurance, RF coil, SNR",
author = "S{\'a}nchez-Heredia, {Juan Diego} and Olin, {Rie B} and McLean, {Mary A} and Christoffer Laustsen and Hansen, {Adam E} and Hanson, {Lars G} and Ardenkj{\ae}r-Larsen, {Jan Henrik}",
note = "Copyright {\circledC} 2020 The Authors. Published by Elsevier Inc. All rights reserved.",
year = "2020",
month = "9",
day = "1",
doi = "10.1016/j.jmr.2020.106798",
language = "English",
volume = "318",
journal = "Journal of Magnetic Resonance",
issn = "1090-7807",
publisher = "Academic Press",

}

RIS

TY - JOUR

T1 - Multi-site benchmarking of clinical 13C RF coils at 3T

AU - Sánchez-Heredia, Juan Diego

AU - Olin, Rie B

AU - McLean, Mary A

AU - Laustsen, Christoffer

AU - Hansen, Adam E

AU - Hanson, Lars G

AU - Ardenkjær-Larsen, Jan Henrik

N1 - Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

PY - 2020/9/1

Y1 - 2020/9/1

N2 - 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.

AB - 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.

KW - C MRI

KW - Hyperpolarization

KW - Parallel imaging

KW - Quality assurance

KW - RF coil

KW - SNR

UR - http://www.scopus.com/inward/record.url?scp=85088888089&partnerID=8YFLogxK

U2 - 10.1016/j.jmr.2020.106798

DO - 10.1016/j.jmr.2020.106798

M3 - Journal article

VL - 318

JO - Journal of Magnetic Resonance

JF - Journal of Magnetic Resonance

SN - 1090-7807

M1 - 106798

ER -

ID: 60589580