Academic Journal

Noise decorrelation coil combination optimizes SNR of edited 1 H MRS data.

Bibliographic Details
Title: Noise decorrelation coil combination optimizes SNR of edited 1 H MRS data.
Authors: Bouchard, A.E., Mikkelsen, M.
Publisher Information: Elsevier
Publication Year: 2025
Collection: Cornell University: eCommons@Cornell
Subject Terms: WCM Library Coordinated Deposit, Signal-To-Noise Ratio, Humans, gamma-Aminobutyric Acid/metabolism, Algorithms, Proton Magnetic Resonance Spectroscopy/methods/instrumentation, Magnetic Resonance Imaging/methods, Magnetic Resonance Spectroscopy/methods, Reproducibility of Results, Brain/metabolism/diagnostic imaging, Aspartic Acid/analogs & derivatives/metabolism, Coil combination, Gaba, Mrs, Noise correlation, Phased-array coils, Snr
Description: INTRODUCTION: Determining the optimal radiofrequency (RF) coil combination method for magnetic resonance spectroscopy (MRS) is crucial for maximizing the signal-to-noise ratio (SNR) and reliably detecting low-concentration metabolites, such as γ-aminobutyric acid (GABA). We compared the performances of several previously proposed algorithms using GABA-edited 1 H MRS data. Given that phased-array coils often exhibit noise correlations that reduce SNR, we hypothesized that noise decorrelation algorithms would be most effective. METHODS: We examined six coil combination methods, with the second half accounting for noise correlations: 1) equal weighting; 2) signal weighting; 3) S/N 2 weighting; 4) noise-decorrelated combination (nd-comb); 5) whitened singular value decomposition (WSVD); and 6) generalized least squares (GLS). Each method was applied to 119 GABA-edited MEGA-PRESS datasets acquired on 3 T GE and Siemens MRI scanners across 11 research sites. We estimated the SNR of GABA+ and N-acetylaspartate (NAA) and tested for statistical differences between the six approaches. We also calculated the intersubject coefficients of variation (CVs) of GABA+/creatine (Cr) ratios. RESULTS: There were significant differences in the SNR of GABA+ and NAA between the methods. Noise decorrelation methods produced higher SNR compared to the other approaches, with nd-comb, WSVD, and GLS yielding, on average, approximately 37 % more GABA+ and 34 % more NAA SNR than equal weighting. GLS yielded the highest SNR for both GABA+ and NAA. The CVs for GABA+/Cr were generally somewhat smaller when using noise decorrelation. CONCLUSION: As predicted, noise decorrelation coil combination, particularly GLS, produced optimal SNR for GABA-edited MRS data. ; 2026-07-01
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
Relation: Magnetic resonance imaging; https://doi.org/10.1016/j.mri.2025.110452; Bouchard AE, Mikkelsen M. Noise decorrelation coil combination optimizes SNR of edited 1 H MRS data. Magnetic resonance imaging. 2025;122:110452. doi:10.1016/j.mri.2025.110452. PMID: 40609710.; https://hdl.handle.net/1813/118139
Availability: https://hdl.handle.net/1813/118139
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International ; https://creativecommons.org/licenses/by-nc-nd/4.0/
Accession Number: edsbas.3E434FF7
Database: BASE
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