Shang-Yueh Tsai1, Stefan Posse2,3, Fa-Hsuan Lin4,5
1Department of Electrical Engineering, Chang Gung University, Tao Yuan, Taiwan; 2Department of Neurology, University of New Mexico School of Medicine, Alberquerque, NM, USA; 3Department of Electrical & Computer Engineering, University of New Mexico , Alberquerque, NM, USA; 4MGH-HMS-MIT Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA; 5Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan
A Multi-Taper Method (MTM) is proposed to improve the spectral quality of the in vivo MRS data. The MTM are designed to improve the estimation of spectrum and also minimize the spectral leakage, which has been applied to dynamic brain imaging such as EEG and MEG. We showed that MTM improves the SNR while decrease the FWHM of MR spectrum and it is beneficial for the metabolic quantification for the in vivo SVS and PEPSI data. In conclusion, MTM has been successfully introduced for quantitative in vivo MRS. SNR and FWHM can be optimized using 5 and 7 tapering functions in turn metabolites quantification using LCModel can be significantly improved
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