Abstract #3942

2D spectral-temporal fitting of synthetic fMRS data improves the precision of fitted glutamate temporal dynamics parameters three-fold

Yiling Liu^1,2, Zhiyong Zhang¹, and Assaf Tal²

¹School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, ²Department of Chemical and Biological Physics, Weizmann Institute of Science, Rehovot, Israel

Synopsis

Keywords: Data Analysis, SpectroscopyIt has been suggested that fitting dynamic MRS data in tandem (2D fitting) should be more precise than conventional 1D fitting, without impairing its accuracy. Functional MRS (fMRS) is a dynamic method used for detecting endogenous metabolic changes in the brain. In this work, we implemented a 2D spectral-temporal fitting framework for the synthetic fMRS data. Preliminary experiments confirm that 2D fitting improves precision approximately three-fold compared to the conventional 1D fitting in terms of fMRS data.

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