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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Materials Map under construction

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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Université de Lorraine

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2023Panoramic Magnetic Resonance Imaging of the Breast With a Wearable Coil Vest12citations
  • 2021MR electrical properties imaging using a generalized image‐based method7citations

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Obermann, Michael
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Ginefri, Jean-Christophe
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Soanca, Onisim
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Nohava, Lena
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Laistler, Elmar
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Frass-Kriegl, Roberta
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Baltzer, Pascal A. T.
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Clauser, Paola
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Ambarki, Khalid
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Missoffe, Alexia
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Odille, Freddy
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Soullié, Paul
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2021

Co-Authors (by relevance)

  • Obermann, Michael
  • Ginefri, Jean-Christophe
  • Soanca, Onisim
  • Nohava, Lena
  • Laistler, Elmar
  • Frass-Kriegl, Roberta
  • Baltzer, Pascal A. T.
  • Clauser, Paola
  • Ambarki, Khalid
  • Missoffe, Alexia
  • Odille, Freddy
  • Soullié, Paul
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article

MR electrical properties imaging using a generalized image‐based method

  • Ambarki, Khalid
  • Missoffe, Alexia
  • Odille, Freddy
  • Felblinger, Jacques
  • Soullié, Paul
Abstract

Purpose: To develop a fast and easy-to-use electrical properties tomography (EPT) method based on a single MR scan, avoiding both the need of a B1 -map and transceive phase assumption, and that is robust against noise.Theory: Derived from Maxwell's equations, conductivity, and permittivity are reconstructed from a new partial differential equation involving the product of the RF fields and its derivatives. This also allows us to clarify and revisit the relevance of common assumptions of MREPT.Methods: Our new governing equation is solved using a 3D finite-difference scheme and compared to previous frameworks. The benefits of our method over selected existing MREPT methods are demonstrated for different simulation models, as well as for both an inhomogeneous agar phantom gel and in vivo brain data at 3T.Results: Simulation and experimental results are illustrated to highlight the merits of the proposed method over existing methods. We show the validity of our algorithm in versatile configurations, with many transition regions notably. Complex admittivity maps are also provided as a complementary MR contrast.Conclusion: Because it avoids time-consuming RF field mapping and generalizes the use of standard MR image for electrical properties reconstruction, this contribution is promising as a new step forward for clinical applications.

Topics
  • impedance spectroscopy
  • phase
  • theory
  • simulation
  • tomography