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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Naji, M.
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Sack, I.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (23/23 displayed)

  • 2024On the relationship between viscoelasticity and water diffusion in soft biological tissues.3citations
  • 2022Mechanical behavior of the hippocampus and corpus callosum: An attempt to reconcile ex vivo with in vivo and micro with macro properties.18citations
  • 2021Real-Time Multifrequency MR Elastography of the Human Brain Reveals Rapid Changes in Viscoelasticity in Response to the Valsalva Maneuver.19citations
  • 2020Cardiac-gated steady-state multifrequency magnetic resonance elastography of the brain: Effect of cerebral arterial pulsation on brain viscoelasticity.25citations
  • 2019Sensitivity of multifrequency magnetic resonance elastography and diffusion-weighted imaging to cellular and stromal integrity of liver tissue.12citations
  • 2018Combining viscoelasticity, diffusivity and volume of the hippocampus for the diagnosis of Alzheimer's disease based on magnetic resonance imaging.86citations
  • 2015Tabletop magnetic resonance elastography for the measurement of viscoelastic parameters of small tissue samples.27citations
  • 2014High-resolution mechanical imaging of the kidney.27citations
  • 2014Wideband MRE and static mechanical indentation of human liver specimen: sensitivity of viscoelastic constants to the alteration of tissue structure in hepatic fibrosis.42citations
  • 2014In vivo time-harmonic multifrequency elastography of the human liver.39citations
  • 2013Compression-sensitive magnetic resonance elastography.18citations
  • 2013Isovolumetric elasticity alteration in the human heart detected by in vivo time-harmonic elastography.18citations
  • 2012Fractal network dimension and viscoelastic powerlaw behavior: I. A modeling approach based on a coarse-graining procedure combined with shear oscillatory rheometry.58citations
  • 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
  • 2006Shear wave group velocity inversion in MR elastography of human skeletal muscle.117citations
  • 2003Electromagnetic actuator for generating variably oriented shear waves in MR elastography.36citations
  • 2002Analysis of wave patterns in MR elastography of skeletal muscle using coupled harmonic oscillator simulations.citations

Places of action

Chart of shared publication
Safraou, Y.
1 / 1 shared
Pagel, K.
1 / 6 shared
Rg, Wells
1 / 1 shared
Braun, J.
6 / 35 shared
Pa, Dantas De Moraes
1 / 1 shared
Zappe, A.
1 / 1 shared
Tzschätzsch, H.
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Im, Sauer
1 / 3 shared
Kh, Hillebrandt
1 / 2 shared
Meyer, Tom
1 / 1 shared
Guo, J.
7 / 22 shared
Bernarding, J.
2 / 2 shared
Snellings, J.
1 / 1 shared
Budday, S.
1 / 5 shared
Herthum, H.
2 / 2 shared
Shahryari, M.
2 / 2 shared
Bertalan, G.
2 / 2 shared
Morr, A.
1 / 1 shared
Franze, K.
1 / 1 shared
Rd, Greenhalgh
1 / 1 shared
Schröder, L.
1 / 1 shared
Alzheimer, C.
1 / 1 shared
Becker, J.
1 / 9 shared
Braun, Jürgen
17 / 26 shared
Schrank, F.
3 / 4 shared
Görner, S.
1 / 1 shared
Warmuth, Carsten
2 / 2 shared
Hetzer, S.
1 / 1 shared
Neubauer, H.
1 / 1 shared
Pfeuffer, J.
1 / 1 shared
Hirsch, S.
5 / 6 shared
Kreft, B.
1 / 1 shared
Elgeti, T.
1 / 1 shared
Aa, De Schellenberger
1 / 1 shared
Polchlopek, B.
1 / 1 shared
Garczynska, K.
1 / 1 shared
Pa, Janmey
1 / 1 shared
Lm, Gerischer
1 / 1 shared
Köbe, T.
1 / 1 shared
Fehlner, A.
1 / 1 shared
Antonenko, D.
1 / 1 shared
Grittner, U.
1 / 2 shared
Flöel, A.
1 / 2 shared
Prehn, K.
1 / 2 shared
Ipek-Ugay, S.
2 / 2 shared
Ledwig, M.
1 / 1 shared
Drießle, T.
1 / 1 shared
Kj, Streitberger
2 / 2 shared
Fischer, T.
2 / 16 shared
Somasundaram, Rajan
3 / 3 shared
Seehofer, D.
1 / 1 shared
Kamphues, C.
1 / 1 shared
Jöhrens, K.
1 / 1 shared
Freise, C.
1 / 1 shared
Asbach, P.
4 / 4 shared
Reiter, R.
1 / 2 shared
Stockmann, M.
1 / 3 shared
Samani, A.
1 / 1 shared
Schultz, M.
2 / 4 shared
Gentz, E.
1 / 1 shared
Klaua, R.
2 / 2 shared
Tzschaetzsch, H.
1 / 1 shared
Beyer, F.
1 / 4 shared
Papazoglou, S.
5 / 5 shared
Hättasch, R.
1 / 1 shared
Knebel, F.
1 / 1 shared
Kv, Jenderka
1 / 1 shared
Posnansky, O.
1 / 1 shared
Klatt, D.
7 / 7 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.
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Beierbach, B.
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Hamhaber, U.
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Rump, J.
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Braun, K.
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Co-Authors (by relevance)

  • Safraou, Y.
  • Pagel, K.
  • Rg, Wells
  • Braun, J.
  • Pa, Dantas De Moraes
  • Zappe, A.
  • Tzschätzsch, H.
  • Im, Sauer
  • Kh, Hillebrandt
  • Meyer, Tom
  • Guo, J.
  • Bernarding, J.
  • Snellings, J.
  • Budday, S.
  • Herthum, H.
  • Shahryari, M.
  • Bertalan, G.
  • Morr, A.
  • Franze, K.
  • Rd, Greenhalgh
  • Schröder, L.
  • Alzheimer, C.
  • Becker, J.
  • Braun, Jürgen
  • Schrank, F.
  • Görner, S.
  • Warmuth, Carsten
  • Hetzer, S.
  • Neubauer, H.
  • Pfeuffer, J.
  • Hirsch, S.
  • Kreft, B.
  • Elgeti, T.
  • Aa, De Schellenberger
  • Polchlopek, B.
  • Garczynska, K.
  • Pa, Janmey
  • Lm, Gerischer
  • Köbe, T.
  • Fehlner, A.
  • Antonenko, D.
  • Grittner, U.
  • Flöel, A.
  • Prehn, K.
  • Ipek-Ugay, S.
  • Ledwig, M.
  • Drießle, T.
  • Kj, Streitberger
  • Fischer, T.
  • Somasundaram, Rajan
  • Seehofer, D.
  • Kamphues, C.
  • Jöhrens, K.
  • Freise, C.
  • Asbach, P.
  • Reiter, R.
  • Stockmann, M.
  • Samani, A.
  • Schultz, M.
  • Gentz, E.
  • Klaua, R.
  • Tzschaetzsch, H.
  • Beyer, F.
  • Papazoglou, S.
  • Hättasch, R.
  • Knebel, F.
  • Kv, Jenderka
  • Posnansky, O.
  • Klatt, D.
  • 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.
  • Braun, K.
OrganizationsLocationPeople

article

Analysis of wave patterns in MR elastography of skeletal muscle using coupled harmonic oscillator simulations.

  • Sack, I.
  • Braun, Jürgen
  • Bernarding, J.
Abstract

The ability to study muscle elasticity in vivo would be of great clinical interest. Magnetic resonance elastography (MRE) has the potential to quantify noninvasively the distribution of the shear modulus in muscle tissue. Elasticity information may be derived by extracting frequencies from the wave patterns of phase-contrast MRE images. In a new approach, MRE wave patterns were reconstructed using 3D coupled harmonic oscillator calculations (CHO). To analyze in vivo MRE measurements of the biceps brachii of healthy volunteers, different anisotropic fibrous structures for the couplings between the muscle elements have to be assumed. V-shaped wave patterns as observed when excitation was applied on the tendon were reproduced by a model, where in a central band of stiff fascicles wave propagation was about twice as fast as that in surrounding tissue. Planar waves were observed for excitation near the muscle surface. They could be reconstructed by assuming a simultaneous wave excitation of all muscle fibers, where fibers along the main muscle axis were coupled more strongly than those perpendicular to the axis. The results show that CHO calculations provide a fast and reliable method for incorporating anatomical information of the investigated tissue in the reconstruction of complex wave patterns.

Topics
  • surface
  • phase
  • simulation
  • anisotropic
  • elasticity