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- Dokumenttyp:
- Journal Article
- Autor(en):
- 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; Szczepankiewicz, Filip; Tal, Assaf; Tax, Chantal; Oeltzschner, Georg; Palombo, Marco; Ronen, Itamar; Valette, Julien
- Titel:
- Diffusion-weighted MR spectroscopy: Consensus, recommendations, and resources from acquisition to modeling.
- Abstract:
- 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.
- Zeitschriftentitel:
- Magn Reson Med
- Jahr:
- 2024
- Band / Volume:
- 91
- Heft / Issue:
- 3
- Seitenangaben Beitrag:
- 860-885
- Volltext / DOI:
- doi:10.1002/mrm.29877
- PubMed:
- http://view.ncbi.nlm.nih.gov/pubmed/37946584
- Print-ISSN:
- 0740-3194
- TUM Einrichtung:
- Institut für Diagnostische und Interventionelle Radiologie (Prof. Makowski)
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