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Simpleware Case Study: Total Hip Replacement Implant Positioning
Positioning hip implants poses a number of challenges, particularly in terms of getting bone and implant contact right. While experimental testing can be costly, image-based modelling can be very effective at predicting the best and worst positions for implants.
In this case study, Simpleware software and ANSYS were used to develop an automatic hip implant positioning tool. CT data of a femur was combined with a CAD-designed implant in Simpleware and used to generate a Finite Element (FE) model for micromotion analysis in ANSYS. Multiple implant position variables were generated using a Python script in the Simpleware API, enabling a Response Surface Model to be created and used to predict best and worst positions.
The tool was developed in conjunction with the University of Southampton, and has the potential to inform research and development of hip implants, as well as analyses of patient populations. Being able to analyse and predict the best fit for implants allows researchers and surgeons to generate more data at an early stage of planning.
More details on the positioning tool are available here: http://simpleware.com/industries/medical-and-dental/orthopaedics/case-study-total-hip-replacement-implant-positioning.html