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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Shepherd, Duncan Et
University of Birmingham
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (24/24 displayed)
- 2024Frequency and time dependent viscoelastic characterization of pediatric porcine brain tissue in compressioncitations
- 2022Bio-Tribo-Acoustic Emissions: Condition Monitoring of a Simulated Joint Articulationcitations
- 2022Long-term in vitro corrosion behavior of Zn-3Ag and Zn-3Ag-0.5Mg alloys considered for biodegradable implant applicationscitations
- 2022Surface Free Energy Dominates the Biological Interactions of Postprocessed Additively Manufactured Ti-6Al-4Vcitations
- 2021Surface finish of additively manufactured metalscitations
- 2021Investigation of the compressive viscoelastic properties of brain tissue under time and frequency dependent loading conditionscitations
- 2020Dynamic mechanical characterization and viscoelastic modeling of bovine brain tissuecitations
- 2020A method for the assessment of the coefficient of friction of articular cartilage and a replacement biomaterialcitations
- 2019Frequency dependent viscoelastic properties of porcine brain tissuecitations
- 2018The role of subchondral bone, and its histomorphology, on the dynamic viscoelasticity of cartilage, bone and osteochondral corescitations
- 2018Tailoring selective laser melting process for titanium drug-delivering implants with releasing micro-channelscitations
- 2017Crack growth in medical-grade silicone and polyurethane ether elastomerscitations
- 2016Design of a Dynamic External Finger Fixatorcitations
- 2015Frequency dependent viscoelastic properties of porcine bladdercitations
- 2015The evolution of polymer wear debris from total disc arthroplastycitations
- 2015Variation in viscoelastic properties of bovine articular cartilage below, up to and above healthy gait-relevant loading frequenciescitations
- 2014Viscoelastic properties of bovine knee joint articular cartilage : dependency on thickness and loading frequencycitations
- 2013Abrasive Water Jet Cutting (AWJC) of Co-Cr-Mo alloy investment castings in the medical device industry
- 2011Viscoelastic properties of the intervertebral disc and the effect of nucleus pulposus removalcitations
- 2010Effect of accelerated aging on the viscoelastic properties of Elast-Eon (TM): A polyurethane with soft poly(dimethylsiloxane) and poly(hexamethylene oxide) segmentscitations
- 2009Viscoelastic properties of bovine articular cartilage attached to subchondral bone at high frequenciescitations
- 2009Frequency dependence of viscoelastic properties of medical grade siliconescitations
- 2005A new design concept for wrist arthroplastycitations
- 2004A comparison of the torsional performance of stainless steel and titanium alloy tibial intramedullary nails: a clinically relevant approach
Places of action
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article
The evolution of polymer wear debris from total disc arthroplasty
Abstract
Total disc arthroplasty is an alternative to spinal fusion, aimed at preserving flexibility; these devices typically involve a cobalt chrome molybdenum alloy socket articulating against an ultra-high molecular weight polyethylene (UHMWPE) ball. As with all artificial joints, wear debris is of particular concern due to its effect on both implant life and the in vivo biological reactions that can occur.<br/><br/>In this paper, a profile of the UHMWPE wear debris generated from disc arthroplasty, tested on a spine simulator, is built with a combination of SEM image analysis tools. SEM images were analysed by computer vision, which allowed size and shape information to be extracted and images to be categorised by the shared topological features on individual wear particles. The computer visions techniques were based on a Scale Invariant Feature Transform (SIFT) to extract key point data from individual images and a Support Vector Decision Machine (SVM) to filter images based on a series of trained parameters. As certain wear particle morphology is predominantly produced by a particular wear regime, grouping wear particles by morphology and size made it possible to infer the relative rates of various wear regimes responsible for wear debris generation. By sampling synovial lubricant at intervals throughout the tribological test, the predominant wear regimes and particle sizes were tracked over the course of the implant life. Wear debris samples were taken at 12 intervals over a 5 million cycle test.<br/><br/>The majority of debris was found to be 0.88 μm in equivalent circle diameter, with an aspect ratio (defined as the major over the minor diameter of the smallest possible encompassing ellipse of the debris) of 1.55. There was a decreasing trend in average particle size as the number of cycles increased. During the early stages of the test, adhesion and abrasion were dominant in forming particle morphologies, however after 2 million cycles; particles generated as a result of fatigue became the major particle morphology.