We present an automatic routine for alignment of GABA 1H MEGA-PRESS spectra to reduce subtraction artefacts which can compromise reliable GABA quantitation. The algorithm iteratively optimizes relative frequency and phase offsets between the edited and non-edited 1H MEGA-PRESS spectra by minimizing the sum of the magnitude of the difference spectrum. The proposed method was applied to simulated spectra with preset frequency and phase errors and in vivo MEGA-PRESS data and compared to spectral registration, an alignment method implemented in the open source FID-A toolbox1. Difference optimization demonstrated robust performance without requiring limitation of the input data range or user intervention.
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