Emerging methods and applications of ultra-high field MR spectroscopic imaging in the human brain.

7T Brain MRSI Neurochemical imaging Ultra-high field

Journal

Analytical biochemistry
ISSN: 1096-0309
Titre abrégé: Anal Biochem
Pays: United States
ID NLM: 0370535

Informations de publication

Date de publication:
01 02 2022
Historique:
received: 11 07 2021
revised: 15 10 2021
accepted: 16 11 2021
pubmed: 29 11 2021
medline: 2 2 2022
entrez: 28 11 2021
Statut: ppublish

Résumé

Magnetic Resonance Spectroscopic Imaging (MRSI) of the brain enables insights into the metabolic changes and fluxes in diseases such as tumors, multiple sclerosis, epilepsy, or hepatic encephalopathy, as well as insights into general brain functionality. However, the routine application of MRSI is mostly hampered by very low signal-to-noise ratios (SNR) due to the low concentrations of metabolites, about 10000 times lower than water. Furthermore, MRSI spectra have a dense information content with many overlapping metabolite resonances, especially for proton MRSI. MRI scanners at ultra-high field strengths, like 7 T or above, offer the opportunity to increase SNR, as well as the separation between resonances, thus promising to solve both challenges. Yet, MRSI at ultra-high field strengths is challenged by decreased B0- and B1-homogeneity, shorter T2 relaxation times, stronger chemical shift displacement errors, and aggravated lipid contamination. Therefore, to capitalize on the advantages of ultra-high field strengths, these challenges must be overcome. This review focuses on the challenges MRSI of the human brain faces at ultra-high field strength, as well as the possible applications to this date.

Identifiants

pubmed: 34838516
pii: S0003-2697(21)00380-8
doi: 10.1016/j.ab.2021.114479
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

114479

Subventions

Organisme : Austrian Science Fund FWF
ID : J 4124
Pays : Austria

Informations de copyright

Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

Gilbert Hangel (G)

High Field MR Centre, Department of Medical Imaging and Image-Guided Therapy, Medical University of Vienna, Austria; Department of Neurosurgery, Medical University of Vienna, Austria.

Eva Niess (E)

High Field MR Centre, Department of Medical Imaging and Image-Guided Therapy, Medical University of Vienna, Austria.

Philipp Lazen (P)

High Field MR Centre, Department of Medical Imaging and Image-Guided Therapy, Medical University of Vienna, Austria.

Petr Bednarik (P)

High Field MR Centre, Department of Medical Imaging and Image-Guided Therapy, Medical University of Vienna, Austria.

Wolfgang Bogner (W)

High Field MR Centre, Department of Medical Imaging and Image-Guided Therapy, Medical University of Vienna, Austria.

Bernhard Strasser (B)

High Field MR Centre, Department of Medical Imaging and Image-Guided Therapy, Medical University of Vienna, Austria. Electronic address: Bernhard.strasser@meduniwien.ac.at.

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Classifications MeSH