Gannet: A Batch-Processing Tool for the Quantitative Analysis of Gamma-Aminobutyric Acid–Edited MR Spectroscopy Spectra

By Richard A. E. Edden, Nicolaas A. J. Puts, Ashley D. Harris, Peter B. Barker, C. John Evans. Journal of Magnetic Resonance Imaging, 2013

616 citations recorded by the source corpus.

The purpose of this study is to describe the Gannet toolkit for the quantitative batch analysis of gamma‐aminobutyric acid (GABA) ‐edited MRS data.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/5d326fc526d23e85c760c2e1148aee1bc76bbf56

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Citations in the corpus

• Advanced processing and simulation of MRS data using the FID appliance (FID‐A)—An open source, MATLAB‐based toolkit (2017, methodology): “The Gannet software package (20) is capable of processing data sets with higher dimensionality (multiple averages, multiple coil channels, and multiple subspectra); however, this software is designed specifically for the processing and analysis of GABA-edited MEGA-PRESS MRS data, and cannot currentl”