Semiblind Spectral Factorization Approach for Magnetic Resonance Spectroscopy Quantification

The objectives of the proposed method are 1) removing baseline in frequency domain using SSA; 2) extracting the underlying components of MRS signal based on the suggested novel covariance matrix; and 3) reconstructing metabolite of interest by combining some of the extracted components using a novel cost function. Performance of the proposed method is evaluated using both synthetic and real MRS signals. The obtained results show the effectiveness of the proposed technique to accurately remove baseline and extract metabolites of MRS signal.

Source: IEEE Transactions on Biomedical Engineering - July 20, 2018 Category: Biomedical Engineering Source Type: research