Anatomic prosthesis modelling based on descriptors by cubic bézier curves

Authors

M. Rudek, Y. Bonescki Gumiel, G. Linck Bichinho, M. Da Silveira, and O. Canciglieri Junior

Reference

in International Conference on Computers & Industrial Engineering (CIE45), Metz, France, October 28-30, 2015

Description

This paper presents a method based on image analysis to build models of the skull prosthesis as a pre-manufacturing process. The method is based on Cubic Bezier Curves as descriptors of the skull bone curvature. The method performs a symbolic representation of shape in order to define the geometric parameters to fit an arc on each Computed Tomography slice. The Bezier descriptors can be used as a template for the retrieval of similar images from medical databases whose parameters match the sampled image. The similarity is measured according to the best fitness values through ABC (Artificial Bee Colony) optimization algorithm. The slices found by similarity are retrieved from different skull images in order to build the 3D model. The 3D printing parameters can be based on images extracted from different medical images to mold a customized piece. A case study shows that the proposed method is a promising technique for 3D modelling.