Automated geometric fitting system for patient-specific implant planning from CT data.
This system was developed to automate the design of patient-specific subperiosteal implants based on CT scan data.
The workflow translates segmented anatomical surfaces into controlled parametric geometry, enabling precise fitting and structural reinforcement logic.
The goal was to reduce manual modeling time while increasing reliability and repeatability in clinical planning environments.
Manual implant modeling from CT data was time-consuming and inconsistent across cases.
Key challenges included:
The system needed to operate within real clinical constraints and allow controlled parameter adjustment.


The resulting workflow achieved:
The system replaced manual modeling with a rule-based parametric architecture.
