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 (7/7 displayed)

  • 2010Viscoelasticity-based MR elastography of skeletal muscle.95citations
  • 2010Viscoelasticity-based staging of hepatic fibrosis with multifrequency MR elastography.207citations
  • 2010Viscoelastic properties of liver measured by oscillatory rheometry and multifrequency magnetic resonance elastography.93citations
  • 2008Non-invasive measurement of brain viscoelasticity using magnetic resonance elastography.280citations
  • 2008Assessment of liver viscoelasticity using multifrequency MR elastography.231citations
  • 2007Three-dimensional analysis of shear wave propagation observed by in vivo magnetic resonance elastography of the brain.84citations
  • 2007Noninvasive assessment of the rheological behavior of human organs using multifrequency MR elastography: a study of brain and liver viscoelasticity.295citations

Places of action

Chart of shared publication
Sack, I.
7 / 23 shared
Braun, Jürgen
5 / 26 shared
Papazoglou, S.
2 / 5 shared
Somasundaram, Rajan
2 / 3 shared
Braun, J.
2 / 35 shared
Asbach, P.
3 / 4 shared
Loddenkemper, C.
1 / 1 shared
Hamm, B.
2 / 3 shared
Muche, M.
1 / 1 shared
Rieger, A.
1 / 1 shared
Schlosser, B.
1 / 1 shared
Biermer, M.
1 / 1 shared
Berg, T.
1 / 2 shared
Korth, Y.
1 / 1 shared
Vogt, R.
1 / 1 shared
Friedrich, C.
1 / 9 shared
Beierbach, B.
1 / 1 shared
Hamhaber, U.
4 / 4 shared
Rump, J.
1 / 2 shared
Chart of publication period
2010
2008
2007

Co-Authors (by relevance)

  • Sack, I.
  • Braun, Jürgen
  • Papazoglou, S.
  • Somasundaram, Rajan
  • Braun, J.
  • Asbach, P.
  • Loddenkemper, C.
  • Hamm, B.
  • Muche, M.
  • Rieger, A.
  • Schlosser, B.
  • Biermer, M.
  • Berg, T.
  • Korth, Y.
  • Vogt, R.
  • Friedrich, C.
  • Beierbach, B.
  • Hamhaber, U.
  • Rump, J.
OrganizationsLocationPeople

article

Three-dimensional analysis of shear wave propagation observed by in vivo magnetic resonance elastography of the brain.

  • Sack, I.
  • Braun, Jürgen
  • Rump, J.
  • Papazoglou, S.
  • Hamhaber, U.
  • Klatt, D.
Abstract

Dynamic magnetic resonance elastography (MRE) is a non-invasive method for the quantitative determination of the mechanical properties of soft tissues in vivo. In MRE, shear waves are generated in the tissue and visualized using phase-sensitive MR imaging methods. The resulting two-dimensional (2-D) wave images can reveal in-plane elastic properties when possible geometrical biases of the wave patterns are taken into account. In this study, 3-D MRE experiments of in vivo human brain are analyzed to gain knowledge about the direction of wave propagation and to deduce in-plane elastic properties. The direction of wave propagation was determined using a new algorithm which identifies minimal wave velocities along rays from the surface into the brain. It was possible to quantify biases of the elastic parameters due to projections onto coronal, sagittal and transversal image planes in 2-D MRE. It was found that the in-plane shear modulus is increasingly overestimated when the image slice is displaced from narrow slabs of 2-5cm through the center of the brain. The mean shear modulus of the brain was deduced from 4-D wave data with about 3.5kPa. Using the proposed slice positions in 2-D MRE, this shear modulus can be reproduced with an acceptable error within a fraction of the full 3-D examination time.

Topics
  • impedance spectroscopy
  • surface
  • phase
  • experiment
  • two-dimensional