Reza Rafiei1,
Alireza Madadi1, Shaghayegh Karimi1, 2,
Hamidreza Saligheh Rad1, 2
1Quantitative
MR Imaging and Spectroscopy Group, Research Center for Cellular and Molecular
Imaging, Tehran University of Medical Sciences, Tehran, Iran; 2Medical
Physics and Biomedical Engineering Department, Tehran University of Medical
Sciences, Tehran, Iran
Magnetic resonance spectroscopy (MRS) signal in the brain contains a wideband baseline, mainly originating from macromolecules and lipids, which overlaps major metabolites peaks and builds errors for the quantification process. In this paper, we have estimated the baseline of the MRS signal acquired from normal brains employing a frequency-domain algorithm, and exhibited the correlation between the baseline spectra estimated in different regions; white matter, gray matter, cerebellum and CSF of the normal brain, to be mapped to corresponding T2-weighted anatomical images, and resulting in a high correlations among the spectra in a specific tissue and low correlations otherwise.