Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2023Multifunctional Cellulose Nanofibrils–GdF$_3$ Nanoparticles Hybrid Gel and Its Potential Uses for Drug Delivery and Magnetic Resonance Imaging4citations
  • 2013MR elastography in a murine stroke model reveals correlation of macroscopic viscoelastic properties of the brain with neuronal density.68citations
  • 2011Wide-range dynamic magnetic resonance elastography.60citations

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Chaput, Frédéric
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Navarro, Julien R. G.
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Boehm-Sturm, Philipp
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Sochor, Benedikt
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Ovchinnikov, Kirill V.
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Jiang, Xuehe
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Raveendran, Dhanya
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Roth, Stephan V.
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Gurikov, Pavel
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Mietner, J. Benedikt
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Lerouge, Frédéric
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2013
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Co-Authors (by relevance)

  • Chaput, Frédéric
  • Navarro, Julien R. G.
  • Boehm-Sturm, Philipp
  • Sochor, Benedikt
  • Ovchinnikov, Kirill V.
  • Jiang, Xuehe
  • Raveendran, Dhanya
  • Roth, Stephan V.
  • Gurikov, Pavel
  • Mietner, J. Benedikt
  • Lerouge, Frédéric
OrganizationsLocationPeople

article

Wide-range dynamic magnetic resonance elastography.

  • Mueller, Susanne
Abstract

Tissue mechanical parameters have been shown to be highly sensitive to disease by elastography. Magnetic resonance elastography (MRE) in the human body relies on the low-dynamic range of tissue mechanics <100 Hz. In contrast, MRE suited for investigations of mice or small tissue samples requires vibration frequencies 10-20 times higher than those used in human MRE. The dispersion of the complex shear modulus (G(⁎)) prevents direct comparison of elastography data at different frequency bands and, consequently, frequency-independent viscoelastic models that fit to G(*) over a wide dynamic range have to be employed. This study presents data of G(*) of samples of agarose gel, liver, brain, and muscle measured by high-resolution MRE in a 7T-animal scanner at 200-800 Hz vibration frequency. Material constants μ and α according to the springpot model and related to shear elasticity and slope of the G(*)-dispersion were determined. Both μ and α of calf brain and bovine liver were found to be similar, while a sample of fibrotic human liver (METAVIR score of 3) displayed about fifteen times higher shear elasticity, similar to μ of bovine muscle measured in muscle fiber direction. α was the highest in fibrotic liver, followed by normal brain and liver, while muscle had the lowest α-values of all biological samples investigated in this study. As expected, the least G(*)-dispersion was seen in soft gel. The proposed technique of wide-range dynamic MRE can provide baseline data for both human MRE and high-dynamic MRE for better understanding tissue mechanics of different tissue structures.

Topics
  • dispersion
  • elasticity