Frequency-selective quantification of biomedical magnetic resonance spectroscopy data

In this paper the possibility of obtaining accurate estimates of parameters of selected peaks in the presence of unknown or uninteresting spectral fea tures in biomedical magnetic resonance spectroscopy (MRS) signals is invest igated. This problem is denoted by frequency-selective parameter estimation , A new time-domain technique based on maximum-phase finite impulse respons e (FIR) filters is presented. The proposed method is compared to a number o f existing approaches: the application of a weighting function in the time domain, frequency domain fitting using a polynomial baseline, and the time- domain HSVD filter method. The ease of use and low computational complexity of the FIR filter method make it an attractive approach for frequency-sele ctive parameter estimation. The methods are validated using simulations of relevant C-13 and P-31 MRS examples. (C) 2000 Academic Press.