Gannet

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.

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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

Richard Edden  

Professor of Radiology, The Johns Hopkins University School of Medicine

 Faculty Profile

 

Ashley Harris

Ashley Harris

Assistant Professor of Radiology, University of Calgary

Faculty Profile 

 

 

John Evans

John Evans

MRI Research Fellow, Cardiff University Brain Research Imaging Centre

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Nicolaas Puts

Nicolaas Puts

Senior Lecturer of Forensic & Neurodevelopmental Sciences, King’s College London

Faculty Profile | Website

Georg Oeltzschner

Assistant Professor of Radiology, The Johns Hopkins University School of Medicine

Faculty Profile | Website

 

Mark Mikkelsen

Assistant Professor of Neuroimaging in Radiology, Weill Cornell Medical College

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Muhammad G. Saleh

Research Associate of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine

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Kimberly Chan

Instructor of Advanced Imaging Research Center and Psychiatry, UT Southwestern Medical Center

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Examples