Gannet
Gannet is a software package designed for the batch analysis of edited magnetic resonance spectroscopy (MRS) data.
Gannet runs in Matlab, and is distributed as code rather than executables, empowering users to make local changes.
Gannet is designed to run without user intervention, to remove operator variance from the quantification of edited MRS data.
Key Functions
GannetLoad processes time-domain MRS data;
GannetCoRegister generates a mask of the MRS voxel in T1-image space;
GannetFit models the edited spectrum;
GannetSegment derives gray matter, white matter and CSF voxel fractions;
GannetQuantify calculates tissue-corrected GABA levels.
The Gannet Team
Richard Edden
Professor of Radiology, The Johns Hopkins University School of Medicine
Nicolaas Puts
Senior Lecturer of Forensic & Neurodevelopmental Sciences, King’s College London
Georg Oeltzschner
Assistant Professor of Radiology, The Johns Hopkins University School of Medicine
Mark Mikkelsen
Assistant Professor of Neuroimaging in Radiology, Weill Cornell Medical College
Muhammad G. Saleh
Research Associate of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine
Kimberly Chan
Instructor of Advanced Imaging Research Center and Psychiatry, UT Southwestern Medical Center