GAVA: Spectral simulation for in vivo MRS applications

Brian J. Soher, Karl Young, Aaron Bernstein, Zakaria Aygula, Andrew A Maudsley

Research output: Contribution to journalArticle

77 Citations (Scopus)

Abstract

An application that provides a flexible and easy to use interface to the GAMMA spectral simulation package is described that is targeted at investigations using in vivo MR spectroscopic methods. The program makes available a number of widely used spatially localized MRS pulse sequences and NMR parameters for commonly observed tissue metabolites, enabling spectra to be simulated for any pulse sequence parameter and viewed in an integrated display. The application is interfaced with a database for storage of all simulation parameters and results of the simulations. This application provides a convenient method for generating a priori spectral information used in parametric spectral analyses and for visual examination of the effects of difference pulse sequences and parameter settings.

Original languageEnglish
Pages (from-to)291-299
Number of pages9
JournalJournal of Magnetic Resonance
Volume185
Issue number2
DOIs
StatePublished - Apr 1 2007

Fingerprint

Matrix Attachment Regions
simulation
pulses
Databases
Metabolites
metabolites
Display devices
Nuclear magnetic resonance
Tissue
examination
nuclear magnetic resonance

Keywords

  • GAMMA
  • MR spectroscopy
  • Parametric spectral analysis
  • Software
  • Spectral simulation

ASJC Scopus subject areas

  • Molecular Biology
  • Physical and Theoretical Chemistry
  • Spectroscopy
  • Radiology Nuclear Medicine and imaging
  • Condensed Matter Physics

Cite this

GAVA : Spectral simulation for in vivo MRS applications. / Soher, Brian J.; Young, Karl; Bernstein, Aaron; Aygula, Zakaria; Maudsley, Andrew A.

In: Journal of Magnetic Resonance, Vol. 185, No. 2, 01.04.2007, p. 291-299.

Research output: Contribution to journalArticle

Soher, Brian J. ; Young, Karl ; Bernstein, Aaron ; Aygula, Zakaria ; Maudsley, Andrew A. / GAVA : Spectral simulation for in vivo MRS applications. In: Journal of Magnetic Resonance. 2007 ; Vol. 185, No. 2. pp. 291-299.
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