The effects of geometric uncertainties on computational modelling of knee biomechanics.

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 descript

SUBMITTER: Meng Q 

PROVIDER: S-EPMC5579124 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature