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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Kh, Hillebrandt

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2024Chemistry matters: A side-by-side comparison of two chemically distinct methacryloylated dECM bioresins for vat photopolymerization.4citations
  • 2024On the relationship between viscoelasticity and water diffusion in soft biological tissues.3citations

Places of action

Chart of shared publication
Tang, P.
1 / 4 shared
Weinhart, M.
1 / 1 shared
Landes, T.
1 / 3 shared
Fribiczer, N.
1 / 1 shared
Seiffert, S.
1 / 4 shared
Elomaa, L.
1 / 1 shared
Im, Sauer
2 / 3 shared
Koksch, B.
1 / 1 shared
Mahfouz, Z.
1 / 1 shared
Almalla, A.
1 / 3 shared
Heinemann, D.
1 / 1 shared
Safraou, Y.
1 / 1 shared
Pagel, K.
1 / 6 shared
Rg, Wells
1 / 1 shared
Braun, J.
1 / 35 shared
Pa, Dantas De Moraes
1 / 1 shared
Sack, I.
1 / 23 shared
Zappe, A.
1 / 1 shared
Tzschätzsch, H.
1 / 8 shared
Meyer, Tom
1 / 1 shared
Guo, J.
1 / 22 shared
Bernarding, J.
1 / 2 shared
Snellings, J.
1 / 1 shared
Chart of publication period
2024

Co-Authors (by relevance)

  • Tang, P.
  • Weinhart, M.
  • Landes, T.
  • Fribiczer, N.
  • Seiffert, S.
  • Elomaa, L.
  • Im, Sauer
  • Koksch, B.
  • Mahfouz, Z.
  • Almalla, A.
  • Heinemann, D.
  • Safraou, Y.
  • Pagel, K.
  • Rg, Wells
  • Braun, J.
  • Pa, Dantas De Moraes
  • Sack, I.
  • Zappe, A.
  • Tzschätzsch, H.
  • Meyer, Tom
  • Guo, J.
  • Bernarding, J.
  • Snellings, J.
OrganizationsLocationPeople

article

On the relationship between viscoelasticity and water diffusion in soft biological tissues.

  • Safraou, Y.
  • Pagel, K.
  • Rg, Wells
  • Braun, J.
  • Pa, Dantas De Moraes
  • Sack, I.
  • Zappe, A.
  • Tzschätzsch, H.
  • Im, Sauer
  • Kh, Hillebrandt
  • Meyer, Tom
  • Guo, J.
  • Bernarding, J.
  • Snellings, J.
Abstract

Magnetic resonance elastography (MRE) and diffusion-weighted imaging (DWI) are complementary imaging techniques that detect disease based on viscoelasticity and water mobility, respectively. However, the relationship between viscoelasticity and water diffusion is still poorly understood, hindering the clinical translation of combined DWI-MRE markers. We used DWI-MRE to study 129 biomaterial samples including native and cross-linked collagen, glycosaminoglycans (GAGs) with different sulfation levels, and decellularized specimens of pancreas and liver, all with different proportions of solid tissue, or solid fractions. We developed a theoretical framework of the relationship between mechanical loss and tissue-water mobility based on two parameters, solid and fluid viscosity. These parameters revealed distinct DWI-MRE property clusters characterizing weak, moderate, and strong water-network interactions. Sparse networks interacting weakly with water, such as collagen or diluted decellularized tissue, resulted in marginal changes in water diffusion over increasing solid viscosity. In contrast, dense networks with larger solid fractions exhibited both free and hindered water diffusion depending on the polarity of the solid components. For example, polar and highly sulfated GAGs as well as native soft tissues hindered water diffusion despite relatively low solid viscosity. Our results suggest that two fundamental properties of tissue networks, solid fraction and network polarity, critically influence solid and fluid viscosity in biological tissues. Since clinical DWI and MRE are sensitive to these viscosity parameters, the framework we present here can be used to detect tissue remodeling and architectural changes in the setting of diagnostic imaging. STATEMENT OF SIGNIFICANCE: The viscoelastic properties of biological tissues provide a wealth of information on the vital state of cells and host matrix. Combined measurement of viscoelasticity and water diffusion by medical imaging is sensitive to tissue microarchitecture. However, the relationship between viscoelasticity and water diffusion is still poorly understood, hindering full exploitation of these properties as a combined clinical biomarker. Therefore, we analyzed the parameter space accessible by diffusion-weighted imaging (DWI) and magnetic resonance elastography (MRE) and developed a theoretical framework for the relationship between water mobility and mechanical parameters in biomaterials. Our theory of solid material properties related to particle motion can be translated to clinical radiology using clinically established MRE and DWI.

Topics
  • impedance spectroscopy
  • cluster
  • mobility
  • theory
  • viscosity
  • viscoelasticity
  • biomaterials