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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Jugé, Lauriane

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (11/11 displayed)

  • 2021Elevation of cell-associated HIV-1 RNA transcripts in CSF CD4+ T cells, despite suppressive antiretroviral therapy, is linked to in vivo brain injury1citations
  • 2021Magnetic Resonance Elastography Reconstruction for Anisotropic Tissues.33citations
  • 2019Paediatric brain tissue properties measured with magnetic resonance elastography.29citations
  • 2018Measurement of large strain properties in calf muscles in vivo using magnetic resonance elastography and spatial modulation of magnetization.10citations
  • 2016Liver Stiffness Values Are Lower in Pediatric Subjects than in Adults and Increase with Age: A Multifrequency MR Elastography Study.41citations
  • 2016Longitudinal measurements of postnatal rat brain mechanical properties in-vivo.14citations
  • 2014In vivo anisotropic mechanical properties of dystrophic skeletal muscles measured by anisotropic MR elastographic imaging: the mdx mouse model of muscular dystrophy.54citations
  • 2013Characterising soft tissues under large amplitude oscillatory shear and combined loading.56citations
  • 2012Colon tumor growth and antivascular treatment in mice: complementary assessment with MR elastography and diffusion-weighted MR imaging.56citations
  • 2010Site-specific conjugation of metal carbonyl dendrimer to antibody and its use as detection reagent in immunoassay.31citations
  • 2010Site-specific conjugation of metal carbonyl dendrimer to antibody and its use as detection reagent in immunoassay.31citations

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Dai, Lili
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Fischer-Durand, Nathalie
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Vessières, Anne
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Rudolf, Bogna
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Laprévote, Olivier
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Salmain, Michèle
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Jaouen, Gérard
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Guérineau, Vincent
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Co-Authors (by relevance)

  • Dai, Lili
  • Fischer-Durand, Nathalie
  • Vessières, Anne
  • Rudolf, Bogna
  • Laprévote, Olivier
  • Salmain, Michèle
  • Jaouen, Gérard
  • Guérineau, Vincent
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article

Magnetic Resonance Elastography Reconstruction for Anisotropic Tissues.

  • Jugé, Lauriane
Abstract

Elastography has become widely used clinically for characterising changes in soft tissue mechanics that are associated with altered tissue structure and composition. However, some soft tissues, such as muscle, are not isotropic as is assumed in clinical elastography implementations. This limits the ability of these methods to capture changes in anisotropic tissues associated with disease. The objective of this study was to develop and validate a novel elastography reconstruction technique suitable for estimating the linear viscoelastic mechanical properties of transversely isotropic soft tissues. We derived a divergence-free formulation of the governing equations for acoustic wave propagation through a linearly transversely isotropic viscoelastic material, and transformed this into a weak form. This was then implemented into a finite element framework, enabling the analysis of wave input data and tissue structural fibre orientations, in this case based on diffusion tensor imaging. To validate the material constants obtained with this method, numerous in silico phantom experiments were run which encompassed a range of variations in wave input directions, material properties, fibre structure and noise. The method was also tested on ex vivo muscle and in vivo human volunteer calf muscles, and compared with a previous curl-based inversion method. The new method robustly extracted the transversely isotropic shear moduli (G<sub>⊥</sub><sup>'</sup>, G<sub>∥</sub><sup>'</sup>, G<sup>″</sup>) from the in silico phantom tests with minimal bias, including in the presence of experimentally realistic levels of noise in either fibre orientation or wave data. This new method performed better than the previous method in the presence of noise. Anisotropy estimates from the ex vivo muscle phantom agreed well with rheological tests. In vivo experiments on human calf muscles were able to detect increases in muscle shear moduli with passive muscle stretch. This new reconstruction method can be applied to quantify tissue mechanical properties of anisotropic soft tissues, such as muscle, in health and disease.

Topics
  • impedance spectroscopy
  • experiment
  • anisotropic
  • isotropic