Investigating the Influence of Implant Geometry on Autonomous Kinematics Measurements

Description

In this presentation from ISTA 2024 held in Nashville, Dr Andrew Jensen discusses his journey in research related to knee arthroplasty kinematics and its application to shoulder arthroplasty. Starting with his unsuccessful attempt to apply existing methods from total knee arthroplasty to reverse shoulder arthroplasty, Dr Jensen details the challenges faced in measuring implant rotations accurately. Despite initial failures, DR Jensen explores lessons learned from perceptual psychology on shape recognition and develops a new method called shape sensitivity analysis to describe implant shapes statistically. This involves using the angular radial transform to determine how changes in the orientation of implants affect their shape descriptors. The findings reveal that certain shapes, like those of tibia implants, show minimal variation when rotated, while humeral implants have universally low shape sensitivity. Dr Jensen concludes with future directions for enhancing autonomous measurements using additional metrics and integrating landmark information to improve accuracy. The talk highlights the intersection of engineering, mathematics, and clinical applications in orthopedic research.

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