People | Locations | Statistics |
---|---|---|
Naji, M. |
| |
Motta, Antonella |
| |
Aletan, Dirar |
| |
Mohamed, Tarek |
| |
Ertürk, Emre |
| |
Taccardi, Nicola |
| |
Kononenko, Denys |
| |
Petrov, R. H. | Madrid |
|
Alshaaer, Mazen | Brussels |
|
Bih, L. |
| |
Casati, R. |
| |
Muller, Hermance |
| |
Kočí, Jan | Prague |
|
Šuljagić, Marija |
| |
Kalteremidou, Kalliopi-Artemi | Brussels |
|
Azam, Siraj |
| |
Ospanova, Alyiya |
| |
Blanpain, Bart |
| |
Ali, M. A. |
| |
Popa, V. |
| |
Rančić, M. |
| |
Ollier, Nadège |
| |
Azevedo, Nuno Monteiro |
| |
Landes, Michael |
| |
Rignanese, Gian-Marco |
|
Töyräs, Juha
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (28/28 displayed)
- 2023Broadband scattering properties of articular cartilage zones and their relationship with the heterogenous structure of articular cartilage extracellular matrixcitations
- 2021Infrared fiber-optic spectroscopy detects bovine articular cartilage degenerationcitations
- 2020Comparison of water, hydroxyproline, uronic acid and elastin contents of bovine knee ligaments and patellar tendon and their relationships with biomechanical propertiescitations
- 2019T2* and quantitative susceptibility mapping in an equine model of post-traumatic osteoarthritis: assessment of mechanical and structural properties of articular cartilage
- 2019T2* and quantitative susceptibility mapping in an equine model of post-traumatic osteoarthritis: assessment of mechanical and structural properties of articular cartilagecitations
- 2019Arthroscopic determination of cartilage proteoglycan content and collagen network structure with near-infrared spectroscopycitations
- 2019Effects of body mass on microstructural features of the osteochondral unit: A comparative analysis of 37 mammalian speciescitations
- 2018Quantitative susceptibility mapping of articular cartilage: ex vivo findings at multiple orientations and following different degradation treatmentscitations
- 2017Contrast-enhanced computed tomography enables quantitative evaluation of tissue properties at intrajoint regions in cadaveric knee cartilagecitations
- 2017Corrigendum to “Multimodality scoring of chondral injuries in the equine fetlock joint ex vivo” [Osteoarthritis Cartilage 25 (5) (2017 May) 790–798] (S1063458416304666), (10.1016/j.joca.2016.12.007))citations
- 2017Tissue viscoelasticity is related to tissue composition but may not fully predict the apparent-level viscoelasticity in human trabecular bone – an experimental and finite element studycitations
- 2016Differences in acoustic impedance of fresh and embedded human trabecular bone samples - scanning acoustic microscopy and numerical evaluationcitations
- 2015Ultrasound backscattering is anisotropic in bovine articular cartilagecitations
- 2015Inter-individual changes in cortical bone three-dimensional microstructure and elastic coefficient have opposite effects on radial sound speedcitations
- 2014Deformation of articular cartilage during static loading of a knee joint - experimental and finite element analysiscitations
- 2013New disposable forehead electrode set with excellent signal quality and imaging compatibilitycitations
- 2007Effect of human trabecular bone composition on its electrical propertiescitations
- 2006Interrelationships between electrical properties and microstructure of human trabecular bonecitations
- 2006T2 relaxation time mapping reveals age- and species-related diversity of collagen network architecture in articular cartilagecitations
- 2006Collagen network primarily controls poisson's ratio of bovine articular cartilage in compressioncitations
- 2005Prediction of mechanical properties of human trabecular bone by electrical measurementscitations
- 2005Improvement of arthroscopic cartilage stiffness probe using amorphous diamond coatingcitations
- 2004Prediction of biomechanical properties of articular cartilage with quantitative magnetic resonance imagingcitations
- 2003Structure-function relationships in enzymatically modified articular cartilagecitations
- 2003Electrical and dielectric properties of bovine trabecular bone - Relationships with mechanical properties and mineral densitycitations
- 2002Ultrasonic characterization of articular cartilage
- 2002Comparison of the equilibrium response of articular cartilage in unconfined compression, confined compression and indentationcitations
- 2000Quantitative MR microscopy of enzymatically degraded articular cartilage
Places of action
Organizations | Location | People |
---|
article
Quantitative susceptibility mapping of articular cartilage: ex vivo findings at multiple orientations and following different degradation treatments
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.