Meng, Q orcid.org/0000-0002-6708-5585, Fisher, J orcid.org/0000-0003-3833-3700 and Wilcox, R orcid.org/0000-0003-2736-7104 (2017) The effects of geometric uncertainties on computational modelling of knee biomechanics. Royal Society Open Science, 4 (8).
Abstract
The geometry of the articular components of the knee is an important factor in predicting joint mechanics in computational models. There are a number of uncertainties in the definition of the geometry of cartilage and meniscus, and evaluating the effects of these uncertainties is fundamental to understanding the level of reliability of the models. In this study, the sensitivity of knee mechanics to geometric uncertainties was investigated by comparing polynomial-based and image-based knee models and varying the size of meniscus. The results suggested that the geometric uncertainties in cartilage and meniscus resulting from the resolution of MRI and the accuracy of segmentation caused considerable effects on the predicted knee mechanics. Moreover, even if the mathematical geometric descriptors can be very close to the imaged-based articular surfaces, the detailed contact pressure distribution produced by the mathematical geometric descriptors was not the same as that of the image-based model. However, the trends predicted by the models based on mathematical geometric descriptors were similar to those of the imaged-based models.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. |
Keywords: | the knee, biomechanics, cartilage, meniscus, geometric uncertainties, computational modelling |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Medical and Biological Engineering (iMBE) (Leeds) |
Funding Information: | Funder Grant number EPSRC N/A (IKC) Leeds Teaching Hospitals NHS Trust Not Known National Inst for Health Research (NIHR) N/A EPSRC EP/P001076/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 03 Oct 2017 10:30 |
Last Modified: | 29 Jan 2018 10:02 |
Status: | Published |
Publisher: | The Royal Society |
Identification Number: | 10.1098/rsos.170670 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:121915 |