Multi‐Vendor and Multi‐Site Characterization of <scp> <sup>13</sup> C </scp> Coils for Clinical Studies

ABSTRACT Purpose Due to the inherently low signal‐to‐noise ratio (SNR) domain for 13 C imaging, optimal coil performance is essential to maximize data quality. Quality control (QC) for 13 C coils employed in magnetic resonance spectroscopy (MRS) is of paramount importance. This study presents a gradient‐recalled echo (GRE) sequence alongside an image‐based analysis for SNR estimation and QC of 13 C coils. Methods The proposed GRE sequence (slice selective RF pulse, slice thickness 100 mm, 16 averages, 64 × 64 matrix size, 400 × 400 mm FOV, 60 Hz/px BW, 50° FA, 80 ms TR, 14 ms TE, cartesian acquisition trajectory) was comprehensively evaluated on four clinical 3 T systems, across three sites and two vendors. Thirteen coils were evaluated, including multiple surface coils (transmit/receive and receive only) and volume coils for different body parts. The GRE sequence was compared with a previously described chemical shift imaging (CSI) technique for QC of 13 C coils. The GRE sequence is widely available and built into all MR systems. In contrast, the CSI sequence is more specialized and is not available for all imaging systems. Results A Passing‐Bablok regression and a Spearman correlation of 0.78 demonstrated good agreement of the two methods. The GRE approach offers reduced acquisition time and simplified analysis with SNR trends demonstrating reproducible coil performance across all sites and vendors. Conclusion This standardization aims to strengthen multi‐center trials by ensuring data comparability and reliability, advancing the clinical translation of 13 C MRS methodologies. The results and analysis pipeline is made publicly available to facilitate implementation and coil comparisons across institutions.

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Publication Details

Journal
Magnetic Resonance in Medicine
Published
2026-08-17
DOI
https://doi.org/10.1002/mrm.70560
Primary Topic
Advanced MRI Techniques and Applications
Type
article
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article

Multi‐Vendor and Multi‐Site Characterization of 13 C Coils for Clinical Studies

Andreas Kjær, Esben Søvsø Szocska Hansen, Jonathan Birchall, Christoffer Laustsen et al.
Magnetic Resonance in Medicine
Advanced MRI Techniques and Applications
article

Multi‐Vendor and Multi‐Site Characterization of 13 C Coils for Clinical Studies

Andreas Kjær, Esben Søvsø Szocska Hansen, Jonathan Birchall, Christoffer Laustsen, Mary A. McLean, Andreas Clemmensen, Emil S. Christensen, Thomas L. Andersen
article en

Abstract

ABSTRACT Purpose Due to the inherently low signal‐to‐noise ratio (SNR) domain for 13 C imaging, optimal coil performance is essential to maximize data quality. Quality control (QC) for 13 C coils employed in magnetic resonance spectroscopy (MRS) is of paramount importance. This study presents a gradient‐recalled echo (GRE) sequence alongside an image‐based analysis for SNR estimation and QC of 13 C coils. Methods The proposed GRE sequence (slice selective RF pulse, slice thickness 100 mm, 16 averages, 64 × 64 matrix size, 400 × 400 mm FOV, 60 Hz/px BW, 50° FA, 80 ms TR, 14 ms TE, cartesian acquisition trajectory) was comprehensively evaluated on four clinical 3 T systems, across three sites and two vendors. Thirteen coils were evaluated, including multiple surface coils (transmit/receive and receive only) and volume coils for different body parts. The GRE sequence was compared with a previously described chemical shift imaging (CSI) technique for QC of 13 C coils. The GRE sequence is widely available and built into all MR systems. In contrast, the CSI sequence is more specialized and is not available for all imaging systems. Results A Passing‐Bablok regression and a Spearman correlation of 0.78 demonstrated good agreement of the two methods. The GRE approach offers reduced acquisition time and simplified analysis with SNR trends demonstrating reproducible coil performance across all sites and vendors. Conclusion This standardization aims to strengthen multi‐center trials by ensuring data comparability and reliability, advancing the clinical translation of 13 C MRS methodologies. The results and analysis pipeline is made publicly available to facilitate implementation and coil comparisons across institutions.

Magnetic Resonance in Medicine
University of Copenhagen (DK), Aarhus University (DK), University of Cambridge (GB), Aarhus University Hospital (DK), Copenhagen University Hospital (DK), Rigshospitalet (DK), Cancer Research UK Cambridge Center (GB)
Industry, innovation and infrastructure
Openalex Percentile: Top 10%
Advanced MRI Techniques and Applications
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