title: A novel approach for baseline correction in 1H-MRS signals based on ensemble empirical mode decomposition.
abstract: Proton magnetic resonance spectroscopy ((1)H-MRS) is a non-invasive diagnostic tool for measuring biochemical changes in the human body. Acquired (1)H-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 (1)H-MRS spectra based on ensemble empirical mode decomposition (EEMD). This investigation was applied on both the simulated data and the in-vivo (1)H-MRS of human brain signals. Results justify the efficiency of the proposed method to remove the baseline from (1)H-MRS signals.
authors.forename: Mohammad Ali
authors.initials: MA
authors.lastname: Parto Dezfouli
authors.forename: Mohsen Parto
authors.initials: MP
authors.lastname: Dezfouli
authors.forename: Hamidreza Saligheh
authors.initials: HS
authors.lastname: Rad
mesh_terms: D000465:Algorithms; D001331:Automation; D001921:Brain / Q000473:pathology*; D001931:Brain Mapping / Q000379:methods; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D046911:Macromolecular Substances / Q000737:chemistry; D010363:Pattern Recognition, Automated; D066244:Proton Magnetic Resonance Spectroscopy / Q000379:methods*; D012815:Signal Processing, Computer-Assisted; D059629:Signal-To-Noise Ratio; D012984:Software
chemical_list: D046911:Macromolecular Substances