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Bone and Joints Modelling with Individualized Geometric and Mechanical Properties Derived from Medical Images

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Université de Technologie de Compiègne (U.T.C.), UMR CNRS 6600, Compiègne FRANCE

Computer Modeling in Engineering & Sciences 2003, 4(3&4), 489-496. https://doi.org/10.3970/cmes.2003.004.489

Abstract

The objective of the paper is to address the methodology developed to model bone and joints with individualised geometric and material properties from medical image data. An atlas of mechanical properties of human bone has been investigated demonstrating individual differences. From these data, predictive relationships have been established between mechanical properties and quantitative data derived from measurements on medical images. Subsequently, geometric and numerical models of bones with individualised geometrical and mechanical properties have been developed from the same source of image data. The advantages of this modelling technique are its ability to study the `patient' specificity. This should be of importance for quantifying bone and joint deformities and performing individualised preoperative planning surgery or orthopaedic treatment. In the same way, the efficiency of orthopaedic treatment with customised orthese or mechanical behaviour of implant in bone could be evaluated. Results would suggest improvement or development of new design.

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APA Style
Tho, M.H.B. (2003). Bone and joints modelling with individualized geometric and mechanical properties derived from medical images. Computer Modeling in Engineering & Sciences, 4(3&4), 489-496. https://doi.org/10.3970/cmes.2003.004.489
Vancouver Style
Tho MHB. Bone and joints modelling with individualized geometric and mechanical properties derived from medical images. Comput Model Eng Sci. 2003;4(3&4):489-496 https://doi.org/10.3970/cmes.2003.004.489
IEEE Style
M.H.B. Tho, “Bone and Joints Modelling with Individualized Geometric and Mechanical Properties Derived from Medical Images,” Comput. Model. Eng. Sci., vol. 4, no. 3&4, pp. 489-496, 2003. https://doi.org/10.3970/cmes.2003.004.489



cc Copyright © 2003 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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