Journal
JOURNAL OF MAGNETIC RESONANCE IMAGING
Volume 40, Issue 6, Pages 1445-1452Publisher
WILEY-BLACKWELL
DOI: 10.1002/jmri.24478
Keywords
GABA; editing; magnetic resonance spectroscopy; edited MRS; quantification; MEGA-PRESS
Funding
- NIH [P41 EB015909, R01 EB016089, R21 NS077300, R01 MH096263, R01 MH092443]
Ask authors/readers for more resources
PurposeThe 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 MethodsUsing 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. ResultsAll 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. ConclusionGannet, 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. (c) 2013 Wiley Periodicals, Inc.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available