Abstract #0368

HERCULES and ConCAT: Simultaneous modelling and fitting of 11 metabolites using LCModel

Diana Rotaru¹, Georg Oeltzschner^2,3, Richard Edden^3,4, and David Lythgoe¹

¹Neuroimaging, King's College London, London, United Kingdom, ²Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, ³F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, ⁴Radiology and Radiological Science, The Johns Hopkins University School of Medicine,, Baltimore, MD, United States

Advanced spectral editing techniques have focused mainly on GABA and GSH discrimination and detection. HERCULES, unlike all predecessor sequences, delivers a reliable detection method for GABA and GSH, but also for ascorbate, aspartate, 2-hydroxyglutarate, lactate, NAA and NAAG. However, current analysis methods have not been optimized for HERCULES analysis. We investigated simultaneous LCModel fitting of the concatenated sum and difference spectra calculated from HERCULES data. The concatenated (ConCAT) approach enables the use of all available spectral information. Compared to traditional single-spectrum analysis, ConCAT yielded improved results, with lower coefficients of variation obtained for concentration estimates and Cramér-Rao lower bounds.

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