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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. doi:10.1038/s42254-021-00326-1.

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 Creators:
Weiskopf, Nikolaus1, 2, Author              
Edwards, Luke1, Author              
Helms, Gunther1, 3, Author
Mohammadi, Siawoosh1, 4, Author              
Kirilina, Evgeniya1, 5, Author              
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              

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Free keywords: Biological physics; Biophysics; Imaging techniques
 Abstract: 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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Language(s): eng - English
 Dates: 2021-04-302021-06-28
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1038/s42254-021-00326-1
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Project name : -
Grant ID : 616905
Funding program : European Union’s Seventh Framework Programme (FP7/2007-2013)
Funding organization : European Research Council
Project name : -
Grant ID : 681094
Funding program : Horizon 2020
Funding organization : European Union
Project name : -
Grant ID : 01EW1711A and B
Funding program : -
Funding organization : Federal Ministry of Education and Research
Project name : -
Grant ID : NT 2014-6193
Funding program : -
Funding organization : Swedish Research Council

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Title: Nature Reviews Physics
  Abbreviation : Nat. Rev. Phys.
Source Genre: Journal
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Publ. Info: London, UK : Nature Research
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISSN: 2522-5820
CoNE: https://pure.mpg.de/cone/journals/resource/2522-5820