A novel approach for baseline correction in 1H-MRS signals based on ensemble empirical mode decomposition

Proton magnetic resonance spectroscopy (¹H-MRS) is a non-invasive diagnostic tool for measuring biochemical changes in the human body. Acquired ¹H-MRS signals may be corrupted due to a wideband baseline signal generated by macromolecules. Recently, several methods have been developed for the correction of such baseline signals, however most of them are not able to estimate baseline in complex overlapped signal. In this study, a novel automatic baseline correction method is proposed for ¹H-MRS spectra based on ensemble empirical mode decomposition (EEMD). This investigation was applied on both the simulated data and the in-vivo ¹H-MRS of human brain signals. Results justify the efficiency of the proposed method to remove the baseline from ¹H-MRS signals.