Alexander Seiler, Ulrike Nöth, Pavel Hok, Annemarie Reiländer, Michelle Maiworm, Simon Baudrexel, Sven Meuth, Felix Rosenow, Helmuth Steinmetz, Marlies Wagner, Elke Hattingen, Ralf Deichmann, René-Maxime Gracien
- Magnetic resonance imaging (MRI) is the gold standard imaging technique for diagnosis and monitoring of many neurological diseases. However, the application of conventional MRI in clinical routine is mainly limited to the visual detection of macroscopic tissue pathology since mixed tissue contrasts depending on hardware and protocol parameters hamper its application for the assessment of subtle or diffuse impairment of the structural tissue integrity. Multiparametric quantitative (q)MRI determines tissue parameters quantitatively, enabling the detection of microstructural processes related to tissue remodeling in aging and neurological diseases. In contrast to measuring tissue atrophy via structural imaging, multiparametric qMRI allows for investigating biologically distinct microstructural processes, which precede changes of the tissue volume. This facilitates a more comprehensive characterization of tissue alterations by revealing early impairment of the microstructural integrity and specific disease-related patterns. So far, qMRI techniques have been employed in a wide range of neurological diseases, including in particular conditions with inflammatory, cerebrovascular and neurodegenerative pathology. Numerous studies suggest that qMRI might add valuable information, including the detection of microstructural tissue damage in areas appearing normal on conventional MRI and unveiling the microstructural correlates of clinical manifestations. This review will give an overview of current qMRI techniques, the most relevant tissue parameters and potential applications in neurological diseases, such as early (differential) diagnosis, monitoring of disease progression, and evaluating effects of therapeutic interventions.
MetadatenVerfasserangaben: | Alexander SeilerORCiDGND, Ulrike NöthORCiD, Pavel Hok, Annemarie Reiländer, Michelle MaiwormORCiDGND, Simon Baudrexel, Sven Meuth, Felix RosenowORCiDGND, Helmuth SteinmetzORCiDGND, Marlies WagnerORCiDGND, Elke HattingenORCiDGND, Ralf DeichmannORCiD, René-Maxime GracienORCiDGND |
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URN: | urn:nbn:de:hebis:30:3-610859 |
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DOI: | https://doi.org/10.3389/fneur.2021.640239 |
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ISSN: | 1664-2295 |
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Titel des übergeordneten Werkes (Englisch): | Frontiers in neurology |
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Verlag: | Frontiers Research Foundation |
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Verlagsort: | Lausanne |
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Dokumentart: | Wissenschaftlicher Artikel |
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Sprache: | Englisch |
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Datum der Veröffentlichung (online): | 08.03.2021 |
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Datum der Erstveröffentlichung: | 08.03.2021 |
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Veröffentlichende Institution: | Universitätsbibliothek Johann Christian Senckenberg |
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Datum der Freischaltung: | 09.06.2021 |
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Freies Schlagwort / Tag: | brain imaging; epilepsy; multiple sclerosis; neurodegeneration; neuroimaging; quantitative magnetic resonance imaging |
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Jahrgang: | 12 |
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Ausgabe / Heft: | art. 640239 |
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Seitenzahl: | 8 |
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Erste Seite: | 1 |
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Letzte Seite: | 8 |
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HeBIS-PPN: | 481790160 |
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Institute: | Medizin |
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DDC-Klassifikation: | 6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit |
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Sammlungen: | Universitätspublikationen |
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Open-Access-Publikationsfonds: | Medizin |
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Lizenz (Deutsch): | Creative Commons - Namensnennung 4.0 |
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