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- Title
Gannet: A batch-processing tool for the quantitative analysis of gamma-aminobutyric acid–edited MR spectroscopy spectra.
- Authors
Edden, Richard A E; Puts, Nicolaas A J; Harris, Ashley D; Barker, Peter B; Evans, C John
- Abstract
<bold>Purpose: </bold>The purpose of this study is to describe the Gannet toolkit for the quantitative batch analysis of gamma-aminobutyric acid (GABA) -edited MRS data.<bold>Materials and Methods: </bold>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.<bold>Results: </bold>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.<bold>Conclusion: </bold>Gannet, the GABA Analysis Toolkit, can be used to process and quantify GABA-edited MRS spectra without user intervention.
- Publication
Journal of Magnetic Resonance Imaging, 2014, Vol 40, Issue 6, p1445
- ISSN
1053-1807
- Publication type
journal article
- DOI
10.1002/jmri.24478