An Optimized Method for Anatomic Skull Prosthesis Modelling

Marcelo Rudek, Osiris Canciglieri Junior, and Thiago Greboge


3D image, Tomography, Prosthesis Modelling, Particule Swarm Optimization, CAD


This paper proposes a method to create a geometric model of anatomically adjusted skull prosthesis to be used in machining. The missing area in a skull bone due a hole can be virtually filled in each tomography slice by an adjusted arc. The idea is to generate the missing information from a criterion based on the curvature of the skull shape. We are proposing the use of an adjusted ellipse on its curvature. If the ellipse is properly adjusted in each computed tomography slice, the arcs that represent the part of missing bone can be reconstructed in 3D. The problem is that many ellipses can be created similarly, and the best solution must be found. For this study we have used AI-based techniques that help in choosing an appropriate solution. It was employed the Particle Swarm Optimization (PSO) algorithm in order to find the best solution for each tomographic slice. Once the solution found for each slice, the area of missing bone can be virtually rebuilt to generate the profile in a CAD system. The process results in a new image, which is adjusted model to the prosthesis anatomical area absent in bone structure.

Important Links:

Go Back