Gannet: A batch-processing tool for the quantitative analysis of gamma-aminobutyric acid-edited MR spectroscopy spectra

Purpose The purpose of this study is to describe the Gannet toolkit for the quantitative batch analysis of gamma‐aminobutyric acid (GABA) ‐edited MRS data. Materials and Methods Using MEGA‐PRESS editing and standard acquisition parameters, four MEGA‐PRESS spectra were acquired in three brain regions...

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Bibliographic Details
Published inJournal of magnetic resonance imaging Vol. 40; no. 6; pp. 1445 - 1452
Main Authors Edden, Richard A.E., Puts, Nicolaas A.J., Harris, Ashley D., Barker, Peter B., Evans, C. John
Format Journal Article
LanguageEnglish
Published United States Blackwell Publishing Ltd 01.12.2014
Wiley Subscription Services, Inc
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Summary:Purpose The purpose of this study is to describe the Gannet toolkit for the quantitative batch analysis of gamma‐aminobutyric acid (GABA) ‐edited MRS data. Materials and Methods 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. Results 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. Conclusion Gannet, the GABA Analysis Toolkit, can be used to process and quantify GABA‐edited MRS spectra without user intervention. J. Magn. Reson. Imaging 2014;40:1445–1452. © 2013 Wiley Periodicals, Inc.
Bibliography:istex:1C52C46FA01D798603B3C2DB116BD8618A54CAA0
ArticleID:JMRI24478
NIH - No. P41 EB015909; No. R01 EB016089; No. R21 NS077300; No. R01 MH096263; No. R01 MH092443
ark:/67375/WNG-JF2J19S2-H
This article was published online on 13 November 2013. An error was subsequently identified. This notice is included in the online and print versions to indicate that both have been corrected 27 August 2014.
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ISSN:1053-1807
1522-2586
1522-2586
DOI:10.1002/jmri.24478