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 Semenova3,5
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
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.
This abstract and the presentation materials are available to members only;
a login is required.