Abstract #2016

Different approaches of aspartate approximation in MEGA-PRESS 1H MRS spectra

Petr Bulanov¹, Petr Menshchikov², Andrei Manzhurtsev³, Alexey Yakovlev³, Tolib Akhadov³, Richard Edden⁴, and Natalia Semenova^3,5

¹Lomonosov Moscow State Univesity, Moscow, Russian Federation, ²Emanuel Institute of Biochemical Physics of RAS, Moscow, Russian Federation, ³Clinical and Research Institute of Emergency Pediatric Surgery and Traumatology, Moscow, Russian Federation, ⁴Johns Hopkins University, Baltimore, MD, United States, ⁵Semenov Institute of Chemical Physics of the Russian Academy of Sciences, Moscow, Russian Federation

Synopsis

Changes in Aspartate (Asp) concentrations are a potential biomarker of malate-aspartate shuttle dysfunction, as well as disturbances in the synthesis of NAA. J-difference editing allows the detection of a resolved Asp signal at δAsp ≈ 2.71ppm. This resonance has a complex shape and therefore approximation of the Asp signal is a challenging task. In our study we compare the performance of six Asp-approximation models applied to data from three brain regions (anterior cingulate gyrus (ACC), dorsolateral pre-frontal area (DLPFA) and visual cortex (VC)). A model consisting of four Gauss signals shows the best performance for all brain regions studied.

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