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 (3/3 displayed)

  • 2023Micro-computed Tomography-Based Collagen Orientation and Anisotropy Analysis of Rabbit Articular Cartilage2citations
  • 2021Infrared fiber-optic spectroscopy detects bovine articular cartilage degeneration14citations
  • 2018Quantitative susceptibility mapping of articular cartilage: ex vivo findings at multiple orientations and following different degradation treatments23citations

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Korhonen, Rami K.
1 / 6 shared
Saarakkala, Simo
3 / 5 shared
Ojanen, Simo
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Finnilä, Mikko A. J.
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Töyräs, Juha
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Zimmermann, Boris
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Kohler, Achim
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Virtanen, Vesa
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Nippolainen, Ervin
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Shaikh, Rubina
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Solheim, Johanne
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Tafintseva, Valeria
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Afara, Isaac
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Nykänen, Olli
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Nissi, Mikko J.
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Shmueli, Karin
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Kolehmainen, Ville
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Co-Authors (by relevance)

  • Korhonen, Rami K.
  • Saarakkala, Simo
  • Ojanen, Simo
  • Finnilä, Mikko A. J.
  • Töyräs, Juha
  • Zimmermann, Boris
  • Kohler, Achim
  • Virtanen, Vesa
  • Nippolainen, Ervin
  • Shaikh, Rubina
  • Solheim, Johanne
  • Tafintseva, Valeria
  • Afara, Isaac
  • Nykänen, Olli
  • Nissi, Mikko J.
  • Shmueli, Karin
  • Kolehmainen, Ville
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article

Quantitative susceptibility mapping of articular cartilage: ex vivo findings at multiple orientations and following different degradation treatments

  • Töyräs, Juha
  • Saarakkala, Simo
  • Nykänen, Olli
  • Nissi, Mikko J.
  • Shmueli, Karin
  • Kolehmainen, Ville
  • Rieppo, Lassi
Abstract

Purpose: We investigated the feasibility of quantitative susceptibility mapping (QSM) for assessing degradation of articular cartilage by measuring ex vivo bovine cartilage samples subjected to different degradative treatments. Specimens were scanned at several orientations to study if degradation affects the susceptibility anisotropy. T2*-mapping, histological stainings, and polarized light microscopy were used as reference methods. Additionally, simulations of susceptibility in layered geometry were performed. Methods: Samples (n = 9) were harvested from the patellae of skeletally mature bovines. Three specimens served as controls, and the rest were artificially degraded. MRI was performed at 9.4T using a 3D gradient echo sequence. QSM and T2* images and depth profiles through the centers of the samples were compared with each other and the histological findings. A planar isotropic model with depth-wise susceptibility variation was used in the simulations. Results: A strong diamagnetic contrast was seen in the deep and calcified layers of cartilage, while T2* maps reflected the typical trilaminar structure of the collagen network. Anisotropy of susceptibility in cartilage was observed and was found to differ from the T2* anisotropy. Slight changes were observed in QSM and T2* following the degradative treatments. In simulations, anisotropy was observed. Conclusions: The results suggest that QSM is not sensitive to cartilage proteoglycan content, but shows sensitivity to the amount of calcification and to the integrity of the collagen network, providing potential for assessing osteoarthritis. The simulations suggested that the anisotropy of susceptibility might be partially explained by the layered geometry of susceptibility in cartilage.

Topics
  • impedance spectroscopy
  • simulation
  • layered
  • isotropic
  • susceptibility
  • Polarized light microscopy