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  Quantitative magnetic resonance imaging of brain anatomy and in vivo histology

Weiskopf, N., Edwards, L., Helms, G., Mohammadi, S., & Kirilina, E. (2021). Quantitative magnetic resonance imaging of brain anatomy and in vivo histology. Nature Reviews Physics, 3(8), 570-588. doi:10.1038/s42254-021-00326-1.

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Genre: Zeitschriftenartikel

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https://rdcu.be/cnY85 (Verlagsversion)
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 Urheber:
Weiskopf, Nikolaus1, 2, Autor           
Edwards, Luke1, Autor           
Helms, Gunther1, 3, Autor           
Mohammadi, Siawoosh1, 4, Autor           
Kirilina, Evgeniya1, 5, Autor           
Affiliations:
1Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              
2Felix Bloch Institute for Solid State Physics, University of Leipzig, Germany, ou_persistent22              
3Department of Clinical Sciences, Lund University, Sweden, ou_persistent22              
4Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Germany, ou_persistent22              
5Center for Cognitive Neuroscience Berlin (CCNB), FU Berlin, Germany, ou_persistent22              

Inhalt

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Schlagwörter: Biological physics; Biophysics; Imaging techniques
 Zusammenfassung: Quantitative magnetic resonance imaging (qMRI) goes beyond conventional MRI, which aims primarily at local image contrast. It provides specific physical parameters related to the nuclear spin of protons in water, such as relaxation times. These parameters carry information about the local microstructural environment of the protons (such as myelin in the brain). Non-invasive in vivo histology using MRI (hMRI) aims to use this information to directly characterize biological tissue microstructure, partially replacing or complementing classical invasive histology. The understanding of MRI tissue contrast provided by hMRI is, in turn, crucial for further improvements of qMRI, and they should be considered closely interlinked. We discuss concepts, models and validation approaches, pointing out challenges and the latest advances in this field. Further, we point out links to physics, including computational and analytical approaches and developments in materials science and photonics, that aid in reference data acquisition and model validation.

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Sprache(n): eng - English
 Datum: 2021-04-302021-06-282021-08
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1038/s42254-021-00326-1
 Art des Abschluß: -

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Projektinformation

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Projektname : -
Grant ID : 616905
Förderprogramm : European Union’s Seventh Framework Programme (FP7/2007-2013)
Förderorganisation : European Research Council (ERC)
Projektname : -
Grant ID : 681094
Förderprogramm : Horizon 2020
Förderorganisation : European Union
Projektname : -
Grant ID : 01EW1711A and B
Förderprogramm : -
Förderorganisation : Federal Ministry of Education and Research (BMBF)
Projektname : -
Grant ID : NT 2014-6193
Förderprogramm : -
Förderorganisation : Swedish Research Council
Projektname : -
Grant ID : AL 1156/2-1; GE 2967/1-1; MO 2397/5-1; MO 2249/3-1; MO 2397/4-1
Förderprogramm : -
Förderorganisation : German Research Foundation (DFG)

Quelle 1

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Titel: Nature Reviews Physics
  Kurztitel : Nat. Rev. Phys.
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: London, UK : Nature Research
Seiten: - Band / Heft: 3 (8) Artikelnummer: - Start- / Endseite: 570 - 588 Identifikator: ISSN: 2522-5820
CoNE: https://pure.mpg.de/cone/journals/resource/2522-5820