ASSESSING THE EFFECT OF UNICONDYLAR KNEE ARTHROPLASTY ON PROXIMAL TIBIA BONE STRAINS USING DIGITAL IMAGE CORRELATION

Autor: Christopher J. Woods, Markus O. Heller and Martin Browne
Rok vydání: 2017
Předmět:
DOI: 10.5281/zenodo.1205984
Popis: In order to develop computational models of implanted constructs to predict prosthesis performance, robust experimental tests need to be devised. In the case of unicondylar knee arthroplasty (UKA), where uptake of the procedure has been relatively low compared to traditional total knee arthroplasty techniques, computational modelling can give an insight into the factors affect the performance of UKA if verified with appropriate, preferably data rich, experimental simulations. In the present work, an image based strain analysis technique was applied for the assessment of the effect of UKA implantation on the strains developed in cortical bone of the proximal tibia. The results indicated the presence of increased strains in the proximal portion of the bone, which could be exacerbated in the case of poor implant positioning, or for patients with diminished bone quality
Databáze: OpenAIRE