Handling macromolecule signals in the quantification of the neurochemical profile.
Détails
ID Serval
serval:BIB_5948A40DF81C
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Synthèse (review): revue aussi complète que possible des connaissances sur un sujet, rédigée à partir de l'analyse exhaustive des travaux publiés.
Collection
Publications
Institution
Titre
Handling macromolecule signals in the quantification of the neurochemical profile.
Périodique
Journal of Alzheimer's Disease
ISSN
1875-8908 (Electronic)
ISSN-L
1387-2877
Statut éditorial
Publié
Date de publication
2012
Volume
31
Numéro
Suppl 3
Pages
S101-S115
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't ; Review Publication Status: ppublish
Résumé
In vivo localized proton magnetic resonance spectroscopy (1H MRS) became a powerful and unique technique to non-invasively investigate brain metabolism of rodents and humans. The main goal of 1H MRS is the reliable quantification of concentrations of metabolites (neurochemical profile) in a well-defined region of the brain. The availability of very high magnetic field strengths combined with the possibility of acquiring spectra at very short echo time have dramatically increased the number of constituents of the neurochemical profile. The quantification of spectra measured at short echo times is complicated by the presence of macromolecule signals of particular importance at high magnetic fields. An error in the macromolecule estimation can lead to substantial errors in the obtained neurochemical profile. The purpose of the present review is to overview methods of high field 1H MRS with a focus on the metabolite quantification, in particular in handling signals of macromolecules. Three main approaches of handling signals of macromolecules are described, namely mathematical estimation of macromolecules, measurement of macromolecules in vivo, and direct acquisition of the in vivo spectrum without the contribution of macromolecules.
Mots-clé
Algorithms, Brain Chemistry/physiology, Electromagnetic Fields, Humans, Macromolecular Substances/chemistry, Magnetic Resonance Imaging, Magnetic Resonance Spectroscopy/methods, Models, Statistical
Pubmed
Web of science
Création de la notice
29/04/2013 9:41
Dernière modification de la notice
20/08/2019 14:12