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| Since the longevity of an orthopaedic implant depends on the integrity of the bone/implant
interface, knowledge of factor influencing the time course of tissue differentiation surrounding an implant will be important for
improved implant design strategies. The relative influences of motion, loading, implant surface coating and roughness, and biologic
growth factors, are not known. The ability to computationally model and predict this differentiation of bone tissue and the bone/implant
interface, will be influential in focusing the next level of rational implant design refinement.
Professor Joan Bechtold of the Orthopaedic Surgery Department at the University of Minnesota is working to optimize the accuracy and predictive power of computational models of adaptive tissue differentiation in bone, incorporating mechanical and biologic factors. The bone, implant, and surrounding gap in which the tissue differentiates is being analyzed using biphasic finite element modeling techniques. The role of biologic factors, and their interaction with the mechanical environment are examined through cytokine and growth factor network feedback relationships recently proposed in the computational biology literature. Experimental validation is provided by data obtained through pressures sensors attached to the test implant in a coordinated experimental effort. |
Dr. Olivier Mouzin (left) and Dr. Pascal Swider (center) of the Laboratory of Biomechanics in Toulouse, France visit with Professor Joan Bechtold (right) of the Orthopaedic Surgery Department at the University of Minnesota. |
| Dr. Pascal Swider, from the Laboratory of Biomechanics in Toulouse, France traveled to Minneapolis to collaborate with Professor Bechtold on this project. His collaboration is dealing with the formulation of the numerical model strategy and implementation, as well as the design and interpretation of the experimental validation studies. As part of the numerical modeling, he will work with Dr. Olivier Mouzin, also of the Laboratory of Biomechanics in Toulouse, France, and Professor Bechtold to set the parameters and scope of the model. These discussions are most efficient when conducted in person, with the Supercomputing Institute's resources available for consult, and at the laboratory housing the experimental equipment and implants. As part of the experimental validation, Dr. Swider will work with refining the design of the microsensors embedded in the experimental implant. Again, it is important that these discussions take place with the other scientists who are fabricating and testing the sensors and with the other collaborators who are advising on telemetry and other factors related to their successful implementation. Dr. Swider's collaboration is integral to the conduct of this research, and, while electronic communication has allowed good progress toward the aims of this project, a series of focused meetings and discussions with all collaborators helps further foster this collaboration. | |
This information is available in alternative formats upon request by
individuals with disabilities. Please send email to
alt-format@msi.umn.edu
or call 612-624-0528.
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