Conventional magnetic resonance (MR) imaging has been widely applied to clinical analysis studies due to its non-invasive property. Proton MR spectroscopy complements conventional MR imaging by enabling better lesion characterization. Thus, proton MR spectroscopy is used to assist in the differential diagnosis of intracranial pathologies. LCModel is a reliable and user-friendly post-processing tool which is used to analyse absolute concentrations in our thesis. Our phantom are solution of alanine (Ala), cytosolic amino acids (AAs), lactate (Lac), and n-acetyl aspartate (NAA) in a spherical flasks of glass. We used three basis sets with difference echo time (TE) to experiment. We also performed a retrospective study of subjects with brain abscesses referred during a span of 10 years. All subjects underwent conventional MR imaging and in vivo proton MR spectroscopy, and subjects are classified four groups according to the spectrum characteristics described in the literatures. In this thesis, phantom experiments as well as GAVA simulation are included for the basis sets comparison. Then, abscesses subjects are analyzed by LCModel using these basis sets and compared with clinical diagnosis. Our result shows that using GAVA simulation as the basis sets may provide better consistency among all metabolites and thus achieve more reliable quantification of magnetic resonance spectroscopy.