Analyzing Magnetic Resonance Spectroscopy Data
Abstract
Magnetic resonance (MR) spectroscopy (MRS) modalities provide non-invasiveand non-ionization in vivo imaging tools for preclinical and clinical examinations.Brain examinations’ standard clinical MR protocols comprise several anatomicalimaging techniques. This work describes the principal physics behind clinicalMRS, spectral analysis paradigm, and MRS applications in clinical routines. Theexcellent contrast from the brain’s anatomy partly relies on water’s hydrogen nucleirelaxation time differences in tissues. Peak fitting and a linear combination ofsimulated metabolites are standard algorithms to estimate metabolite intensitiesfrom MR spectra. This thesis aims to implement two popular algorithms on in vivoclinical MR spectra and compare the quantification estimations of two methods. Magnetic resonance (MR) spectroscopy (MRS) modalities provide non-invasiveand non-ionization in vivo imaging tools for preclinical and clinical examinations.Brain examinations’ standard clinical MR protocols comprise several anatomicalimaging techniques. This work describes the principal physics behind clinicalMRS, spectral analysis paradigm, and MRS applications in clinical routines. Theexcellent contrast from the brain’s anatomy partly relies on water’s hydrogen nucleirelaxation time differences in tissues. Peak fitting and a linear combination ofsimulated metabolites are standard algorithms to estimate metabolite intensitiesfrom MR spectra. This thesis aims to implement two popular algorithms on in vivoclinical MR spectra and compare the quantification estimations of two methods.