Automation of Patient Specific Medical Device Design using Rules Based Controls

This project focuses on advancing veterinary orthopedic surgery by automating the design of patient-specific surgical guides for dogs with medial patellar luxation (MPL). Using an innovative workflow in Rhino3D and Grasshopper, the system converts DICOM medical imaging data into 3D-printable CAD models in under two minutes, significantly reducing surgical preparation time while improving accuracy. The resulting guides aid in precise bone cutting and alignment, achieving a 5% alignment error in initial tests. By providing a cost-effective, efficient solution tailored to veterinary needs, this project demonstrates the potential for scalable, personalized surgical tools in animal care. Future work will enhance multi-geometry processing and scalability.