• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

使用优化并行采集成像技术(OpTIMUS)的线圈组合可提高在7T场强下采集的体内磁共振波谱的信噪比。

Coil Combination Using OpTIMUS Results in Improved Signal-to-Noise Ratios of In Vivo MR Spectra Acquired at 7 T.

作者信息

Martinez Luque Eva, Sung Dongsuk, Risk Benjamin B, Goldberg Rachel M, Fleischer Candace C

机构信息

Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA.

Department of Biostatistics and Bioinformatics, Emory University, Atlanta, Georgia, USA.

出版信息

NMR Biomed. 2025 Jun;38(6):e70044. doi: 10.1002/nbm.70044.

DOI:10.1002/nbm.70044
PMID:40289570
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12035523/
Abstract

Magnetic resonance spectroscopy (MRS) enables noninvasive quantification of metabolites, but its utility in vivo can be limited by low signal-to-noise ratios (SNRs) and long acquisition times. The use of ultrahigh-field (UHF) strengths (> 3 T) combined with multichannel phased receive arrays can improve spectral SNR. A crucial step in the use of multichannel arrays is the combination of spectra acquired from individual coil channels. We previously developed a coil combination method at 3 T, optimized truncation to integrate multichannel MRS data using rank-R singular value decomposition (OpTIMUS), which uses noise-whitened windowed spectra and iterative rank-R singular value decomposition (SVD) to combine multichannel MRS data. Here, we evaluated OpTIMUS for combination of MR spectra acquired using a multichannel phased array at 7 T and compared spectral SNR and metabolite quantification with spectra combined using whitened SVD (WSVD), signal/noise squared (S/N), and the Brown method. Data were acquired from 14 healthy volunteers, including five with data acquired at both 3 and 7 T, and from nine people living with HIV. Spectra combined using OpTIMUS resulted in a higher SNR compared to the three other methods, consistent with our prior results at 3 T. With half the number of averages (N = 32), spectra combined with OpTIMUS had higher SNR compared to spectra using the Brown method with 64 averages. Additionally, spectra combined using OpTIMUS at 7 T were compared to spectra acquired at 3 T with the same number of averages (N = 64) or matched acquisition times (N = 110 averages), and spectral fitting was consistently improved at 7 T even when comparable SNR was obtained at 3 T. The ability to increase SNR and maintain spectral quality by optimizing spectral coil combination has the potential to reduce scan time, a key challenge for routine clinical use of MRS.

摘要

磁共振波谱(MRS)能够对代谢物进行无创定量分析,但其在体内的应用可能会受到低信噪比(SNR)和长采集时间的限制。使用超高场(UHF)强度(> 3 T)并结合多通道相控接收阵列可以提高谱线的SNR。使用多通道阵列的一个关键步骤是将从各个线圈通道采集的谱线进行合并。我们之前开发了一种3 T场强下的线圈合并方法,即使用秩-R奇异值分解(OpTIMUS)优化截断以整合多通道MRS数据,该方法使用噪声白化窗口谱线和迭代秩-R奇异值分解(SVD)来合并多通道MRS数据。在此,我们评估了OpTIMUS用于合并7 T场强下使用多通道相控阵列采集的磁共振谱线,并将谱线的SNR和代谢物定量分析结果与使用白化SVD(WSVD)、信号/噪声平方(S/N)和布朗方法合并的谱线进行了比较。数据采集自14名健康志愿者,其中5名同时在3 T和7 T场强下采集了数据,另外还采集自9名艾滋病病毒感染者。与其他三种方法相比,使用OpTIMUS合并的谱线具有更高的SNR,这与我们之前在3 T场强下的结果一致。在平均次数减半(N = 32)的情况下,使用OpTIMUS合并的谱线比使用64次平均的布朗方法合并的谱线具有更高的SNR。此外,将7 T场强下使用OpTIMUS合并的谱线与相同平均次数(N = 64)或匹配采集时间(N = 110次平均)的3 T场强下采集的谱线进行了比较,即使在3 T场强下获得了可比的SNR,7 T场强下的谱线拟合也始终得到改善。通过优化谱线线圈合并来提高SNR并保持谱线质量的能力有可能减少扫描时间,这是MRS在常规临床应用中的一个关键挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e163/12035523/2191d2ce4173/NBM-38-e70044-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e163/12035523/1abcf6789b45/NBM-38-e70044-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e163/12035523/ec4b4f69c4bc/NBM-38-e70044-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e163/12035523/58d70551a8d8/NBM-38-e70044-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e163/12035523/0e2d22f4fe19/NBM-38-e70044-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e163/12035523/2191d2ce4173/NBM-38-e70044-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e163/12035523/1abcf6789b45/NBM-38-e70044-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e163/12035523/ec4b4f69c4bc/NBM-38-e70044-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e163/12035523/58d70551a8d8/NBM-38-e70044-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e163/12035523/0e2d22f4fe19/NBM-38-e70044-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e163/12035523/2191d2ce4173/NBM-38-e70044-g006.jpg

相似文献

1
Coil Combination Using OpTIMUS Results in Improved Signal-to-Noise Ratios of In Vivo MR Spectra Acquired at 7 T.使用优化并行采集成像技术(OpTIMUS)的线圈组合可提高在7T场强下采集的体内磁共振波谱的信噪比。
NMR Biomed. 2025 Jun;38(6):e70044. doi: 10.1002/nbm.70044.
2
Noise decorrelation coil combination optimizes SNR of edited H MRS data.噪声去相关线圈组合可优化编辑后的氢磁共振波谱(H MRS)数据的信噪比。
Magn Reson Imaging. 2025 Oct;122:110452. doi: 10.1016/j.mri.2025.110452. Epub 2025 Jul 1.
3
Prescription of Controlled Substances: Benefits and Risks管制药品的处方:益处与风险
4
Optimized truncation to integrate multi-channel MRS data using rank-R singular value decomposition.使用秩-R奇异值分解对多通道磁共振波谱数据进行积分的优化截断。
NMR Biomed. 2020 Jul;33(7):e4297. doi: 10.1002/nbm.4297. Epub 2020 Apr 6.
5
Feasibility of Accelerated Prostate Diffusion-Weighted Imaging on 0.55 T MRI Enabled With Random Matrix Theory Denoising.基于随机矩阵理论去噪的 0.55T MRI 加速前列腺弥散加权成像的可行性。
Invest Radiol. 2023 Oct 1;58(10):720-729. doi: 10.1097/RLI.0000000000000979. Epub 2023 May 22.
6
Combining frequency navigator and optical prospective motion correction for functional MRS during motor activation at 3 T: A feasibility study.3T下运动激活期间用于功能磁共振波谱成像的频率导航器与光学前瞻性运动校正相结合:一项可行性研究。
Med Phys. 2025 Jul;52(7):e17861. doi: 10.1002/mp.17861. Epub 2025 May 2.
7
Comparison of Two Modern Survival Prediction Tools, SORG-MLA and METSSS, in Patients With Symptomatic Long-bone Metastases Who Underwent Local Treatment With Surgery Followed by Radiotherapy and With Radiotherapy Alone.两种现代生存预测工具 SORG-MLA 和 METSSS 在接受手术联合放疗和单纯放疗治疗有症状长骨转移患者中的比较。
Clin Orthop Relat Res. 2024 Dec 1;482(12):2193-2208. doi: 10.1097/CORR.0000000000003185. Epub 2024 Jul 23.
8
Ventilation and perfusion MRI at a 0.35 T MR-Linac: feasibility and reproducibility study.0.35TMR-Linac 下的通气灌注 MRI:可行性和可重复性研究。
Radiat Oncol. 2023 Apr 3;18(1):58. doi: 10.1186/s13014-023-02244-1.
9
Magnetic resonance perfusion for differentiating low-grade from high-grade gliomas at first presentation.首次就诊时磁共振灌注成像用于鉴别低级别与高级别胶质瘤
Cochrane Database Syst Rev. 2018 Jan 22;1(1):CD011551. doi: 10.1002/14651858.CD011551.pub2.
10
Image quality evaluation in deep-learning-based CT noise reduction using virtual imaging trial methods: Contrast-dependent spatial resolution.基于深度学习的 CT 降噪中使用虚拟成像试验方法的图像质量评估:对比依赖性空间分辨率。
Med Phys. 2024 Aug;51(8):5399-5413. doi: 10.1002/mp.17029. Epub 2024 Mar 31.

引用本文的文献

1
Noise decorrelation coil combination optimizes SNR of edited H MRS data.噪声去相关线圈组合可优化编辑后的氢磁共振波谱(H MRS)数据的信噪比。
Magn Reson Imaging. 2025 Oct;122:110452. doi: 10.1016/j.mri.2025.110452. Epub 2025 Jul 1.

本文引用的文献

1
An Update on MR Spectroscopy in Cancer Management: Advances in Instrumentation, Acquisition, and Analysis.癌症管理中磁共振波谱的最新进展:仪器、采集和分析的进展。
Radiol Imaging Cancer. 2024 May;6(3):e230101. doi: 10.1148/rycan.230101.
2
A paired dataset of T1- and T2-weighted MRI at 3 Tesla and 7 Tesla.3T 和 7T 磁共振 T1 加权像和 T2 加权像配对数据集。
Sci Data. 2023 Jul 27;10(1):489. doi: 10.1038/s41597-023-02400-y.
3
Resting-State Brain Temperature: Dynamic Fluctuations in Brain Temperature and the Brain-Body Temperature Gradient.
静息态脑温:脑温的动态波动和脑-体温度梯度。
J Magn Reson Imaging. 2023 Apr;57(4):1222-1228. doi: 10.1002/jmri.28376. Epub 2022 Jul 29.
4
Minimum Reporting Standards for in vivo Magnetic Resonance Spectroscopy (MRSinMRS): Experts' consensus recommendations.体内磁共振波谱学(MRSinMRS)最低报告标准:专家共识建议。
NMR Biomed. 2021 May;34(5):e4484. doi: 10.1002/nbm.4484. Epub 2021 Feb 9.
5
PCA denoising and Wiener deconvolution of P 3D CSI data to enhance effective SNR and improve point spread function.对P 3D CSI数据进行主成分分析(PCA)去噪和维纳反卷积,以提高有效信噪比并改善点扩散函数。
Magn Reson Med. 2021 Jun;85(6):2992-3009. doi: 10.1002/mrm.28654. Epub 2021 Feb 1.
6
FSL-MRS: An end-to-end spectroscopy analysis package.FSL-MRS:一个端到端的光谱分析软件包。
Magn Reson Med. 2021 Jun;85(6):2950-2964. doi: 10.1002/mrm.28630. Epub 2020 Dec 6.
7
Osprey: Open-source processing, reconstruction & estimation of magnetic resonance spectroscopy data.鱼鹰:磁共振波谱数据的开源处理、重建与估计
J Neurosci Methods. 2020 Sep 1;343:108827. doi: 10.1016/j.jneumeth.2020.108827. Epub 2020 Jun 27.
8
Tensor image enhancement and optimal multichannel receiver combination analyses for human hyperpolarized C MRSI.用于人体超极化碳磁共振波谱成像的张量图像增强及最优多通道接收器组合分析
Magn Reson Med. 2020 Dec;84(6):3351-3365. doi: 10.1002/mrm.28328. Epub 2020 Jun 5.
9
Optimized truncation to integrate multi-channel MRS data using rank-R singular value decomposition.使用秩-R奇异值分解对多通道磁共振波谱数据进行积分的优化截断。
NMR Biomed. 2020 Jul;33(7):e4297. doi: 10.1002/nbm.4297. Epub 2020 Apr 6.
10
Application of low-rank approximation using truncated singular value decomposition for noise reduction in hyperpolarized C NMR spectroscopy.基于截断奇异值分解的低秩逼近在高极化 13C NMR 光谱降噪中的应用。
NMR Biomed. 2021 May;34(5):e4285. doi: 10.1002/nbm.4285. Epub 2020 Mar 3.