Muhammad Gulamabbas Saleh1,2, Georg Oeltzschner1,2, Mark Mikkelsen1,2, Nicolaas A.J. Puts1,2, and Richard A.E. Edden1,2
1Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2F. M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States
Initially conceived as a MATLAB-based batch-processing tool for GABA-edited MRS data acquired with MEGA-PRESS, Gannet 3.0 has been extended to provide new functionalities that can reconstruct data acquired using accelerated editing techniques of multiple metabolites and regions, perform frequency-and-phase correction (FPC), and perform fitting for GSH-edited spectra. We have demonstrated optimal FPC for MEGA-PRESS, MEGA-PRIAM and HERMES data, and fitting for GSH-edited spectra, rendering Gannet 3.0 a suitable post-processing tool for both conventional and accelerated editing.
