Frequency-selective quantification can not only apply to many applications of magnetic resonance spectroscopy (MRS) but also improve the speed and accuracy of parameters estimation of selected spectral components.Thus

we presented a new frequency-selective method for MRS quantification

which estimated the nonlinear and linear parameters of the selected components based on total least squares and forward-backward APES respectively.From the experiments on both simulate data and MRS data in vivo

we can see that the computing speed and estimation stabilization of our method are obviously superior to those of the classical quantitative methods HSVD and HTLS;furthermore

its performance of parameters estimation is better than that of the frequency-selective method SELF

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SVD proposed by Stoica et al.