Gannet: A batch-processing tool for the quantitative analysis of gamma-aminobutyric acid–edited MR spectroscopy spectra.
Gannet: A batch-processing tool for the quantitative analysis of gamma-aminobutyric acid–edited MR spectroscopy spectra.
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DOI：
10.1002/jmri.24478
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发表时间：
2014-12
影响因子：
4.4
通讯作者：
Evans, C. John
中科院分区：
文献类型：
--
作者：
Edden, Richard A. E.;Puts, Nicolaas A. J.;Harris, Ashley D.;Barker, Peter B.;Evans, C. John
本研究的目的是描述Gannet工具包的定量批分析γ-氨基丁酸（GABA）编辑的MRS数据。使用MEGA-PRESS编辑和标准采集参数，在10名健康志愿者的3个脑区采集4个MEGA-PRESS光谱。这120个数据集在没有用户干预的情况下使用Gannet进行处理，Gannet是一种基于Matlab的工具，可以输入原始时域数据，对其进行处理以生成频域编辑光谱，并应用简单的建模程序来估计相对于肌酸或未抑制水信号（如果提供）的GABA浓度。四种建模方法的比较。所有数据均由Gannet成功处理。受试者之间的变异系数范围从枕叶区的11%到背外侧前额叶区的17%。Gannet使用的简单高斯模型和其他更复杂的模型之间的拟合性能没有明显差异。Gannet是GABA分析工具包，可用于处理和量化GABA编辑的MRS光谱，无需用户干预。
The purpose of this study is to describe the Gannet toolkit for the quantitative batch analysis of gamma-aminobutyric acid (GABA) -edited MRS data. Using MEGA-PRESS editing and standard acquisition parameters, four MEGA-PRESS spectra were acquired in three brain regions in 10 healthy volunteers. These 120 datasets were processed without user intervention with Gannet, a Matlab-based tool that takes raw time-domain data input, processes it to generate the frequency-domain edited spectrum, and applies a simple modeling procedure to estimate GABA concentration relative to the creatine or, if provided, the unsuppressed water signal. A comparison of four modeling approaches is also presented. All data were successfully processed by Gannet. Coefficients of variation across subjects ranged from 11% for the occipital region to 17% for the dorsolateral prefrontal region. There was no clear difference in fitting performance between the simple Gaussian model used by Gannet and the other more complex models presented. Gannet, the GABA Analysis Toolkit, can be used to process and quantify GABA-edited MRS spectra without user intervention.
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影响因子：
4.8
作者：
Petrou, Myria;Pop-Busui, Rodica;Foerster, Bradley R.;Edden, Richard A.;Callaghan, Brian C.;Harte, Steve E.;Harris, Richard E.;Clauw, Daniel J.;Feldman, Eva L.
通讯作者：
Feldman, Eva L.
DOI：
10.1523/jneurosci.4489-11.2011
发表时间：
2011-11-16
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Puts NA;Edden RA;Evans CJ;McGlone F;McGonigle DJ
通讯作者：
McGonigle DJ
影响因子：
2.9
作者：
Geramita, Matthew;van der Veen, Jan Willem;Marenco, Stefano
通讯作者：
Marenco, Stefano
影响因子：
7.6
作者：
Simpson, Helen B.;Shungu, Dikoma C.;Kegeles, Lawrence S.
通讯作者：
Kegeles, Lawrence S.
影响因子：
10.6
作者：
Oenguer, Dost;Prescot, Andrew P.;McCarthy, Julie;Cohen, Bruce M.;Renshaw, Perry F.
通讯作者：
Renshaw, Perry F.