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Computational design optimization of a motion preserving spinal implant
Following trauma or due to degeneration it can be necessary to replace one or more intervertebral discs with an implant, a so-called Total Disc Replacement (TDR). Such devices enable motion though surfaces articulating against each other. While this treatment is clinically successful, it is connected to considerable complication and reoperation rates. Therefore, we are optimizing the design of such an implant to address these issues.
While many different designs and design types have been proposed and are used in clinical practice, there is no consensus on what design or design type is the most beneficial. However, it is hypothesized, that replicating the situation that is present in healthy (asymptomatic) subjects as closely as possible, is optimal. Since the motions of the cervical spine are coupled (coupling of rotation and translation as well as multiple rotations) the optimal design of the articulating surfaces is not obvious. Therefore, this master’s thesis project aims at designing the implants articulating surfaces using parametric design optimization in LS-OPT based on finite element simulations.
The main project parts are:
1. set up optimization of articulating surfaces across multiple design types (varying in types and number of articulations)
2. optimize to create a TDR that reproduces the asymptomatic loads in the facet joints, ligaments and possibly in the IVDs of the adjacent levels
The project could be adjusted based on your interests, and skills.
The main project parts are: 1. set up optimization of articulating surfaces across multiple design types (varying in types and number of articulations) 2. optimize to create a TDR that reproduces the asymptomatic loads in the facet joints, ligaments and possibly in the IVDs of the adjacent levels The project could be adjusted based on your interests, and skills.