In-silico predictions of TKR robustness to wear variability: a probabilistic cross-design comparison


Strickland, Michael A. and Taylor, Mark (2009) In-silico predictions of TKR robustness to wear variability: a probabilistic cross-design comparison At 55th Annual Meeting of the Orthopaedic Research Society. 22 - 25 Feb 2009. 1 pp.

Download

[img] PDF 2009_ORS_preprint.pdf - Author's Original
Download (72kB)

Description/Abstract

Wear of TKR is a key concern for designers, but is highly variable in clinical retrievals. Conventional in-vitro knee wear simulators are limited to relatively small numbers of tests and cannot fully address this uncertainty; in-silico models can use large numbers of trials with low associated time & cost. Using probabilistic methods we can explore whether input variability (e.g. component mal-positioning) can account for the high degree of wear variability observed.

Because we are able to simulate many trials, we can also explore the predictions of different wear algorithms, and also run studies concurrently for different TKR designs, allowing us to compare implant designs and observe whether some are more robust to wear variability than others.

Item Type: Conference or Workshop Item (Poster)
Venue - Dates: 55th Annual Meeting of the Orthopaedic Research Society, 2009-02-22 - 2009-02-25
Related URLs:
Subjects:
Organisations: Bioengineering Group
ePrint ID: 71731
Date :
Date Event
February 2009Published
Date Deposited: 22 Dec 2009
Last Modified: 18 Apr 2017 21:01
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/71731

Actions (login required)

View Item View Item