Ligneul, Clémence; Najac, Chloé; Döring, André; Beaulieu, Christian; Branzoli, Francesca; Clarke, William T; Cudalbu, Cristina; Genovese, Guglielmo; Jbabdi, Saad; Jelescu, Ileana; Karampinos, Dimitrios; Kreis, Roland; Lundell, Henrik; Marjańska, Małgorzata; Möller, Harald E; Mosso, Jessie; Mougel, Eloïse; Posse, Stefan; Ruschke, Stefan; Simsek, Kadir; ... (2024). Diffusion-weighted MR spectroscopy: Consensus, recommendations, and resources from acquisition to modeling. Magnetic resonance in medicine, 91(3), pp. 860-885. Wiley 10.1002/mrm.29877
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Magnetic_Resonance_in_Med_-_2023_-_Ligneul_-_Diffusion_weighted_MR_spectroscopy_Consensus_recommendations_and_resources.pdf - Published Version Available under License Creative Commons: Attribution-Noncommercial-No Derivative Works (CC-BY-NC-ND). Download (7MB) | Preview |
Brain cell structure and function reflect neurodevelopment, plasticity, and aging; and changes can help flag pathological processes such as neurodegeneration and neuroinflammation. Accurate and quantitative methods to noninvasively disentangle cellular structural features are needed and are a substantial focus of brain research. Diffusion-weighted MRS (dMRS) gives access to diffusion properties of endogenous intracellular brain metabolites that are preferentially located inside specific brain cell populations. Despite its great potential, dMRS remains a challenging technique on all levels: from the data acquisition to the analysis, quantification, modeling, and interpretation of results. These challenges were the motivation behind the organization of the Lorentz Center workshop on "Best Practices & Tools for Diffusion MR Spectroscopy" held in Leiden, the Netherlands, in September 2021. During the workshop, the dMRS community established a set of recommendations to execute robust dMRS studies. This paper provides a description of the steps needed for acquiring, processing, fitting, and modeling dMRS data, and provides links to useful resources.
Item Type: |
Journal Article (Review Article) |
|---|---|
Division/Institute: |
04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic and Interventional Neuroradiology |
UniBE Contributor: |
Kreis, Roland |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
1522-2594 |
Publisher: |
Wiley |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
14 Nov 2023 16:42 |
Last Modified: |
22 Dec 2023 00:15 |
Publisher DOI: |
10.1002/mrm.29877 |
PubMed ID: |
37946584 |
Uncontrolled Keywords: |
acquisition dMRS fitting modelling processing |
BORIS DOI: |
10.48350/188784 |
URI: |
https://boris.unibe.ch/id/eprint/188784 |
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