Authors:
Luiz C. M. de Aquino
1
;
Diego A. T. Q. Leite
1
;
Gilson A. Giraldi
1
;
Jaime S. Cardoso
2
;
Paulo Sergio S. Rodrigues
3
and
Luiz A. P. Neves
4
Affiliations:
1
National Laboratory for Scientific Computing, Brazil
;
2
University of Porto, Portugal
;
3
FEI, Brazil
;
4
Federal University of Paraná, Brazil
Keyword(s):
Digital prosthesis design, segmentation, Deformable model, Shape recovery.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Feature Extraction
;
Features Extraction
;
Image and Video Analysis
;
Informatics in Control, Automation and Robotics
;
Signal Processing, Sensors, Systems Modeling and Control
;
Surface Geometry and Shape
Abstract:
The restoration and recovery of a defective skull can be performed through operative techniques to implant a customized prosthesis. Recently, image processing and surface reconstruction methods have been used for digital prosthesis design. In this paper we present a framework for prosthesis modeling. Firstly, we take the computed tomography (CT) of the skull and perform bone segmentation by thresholding. The obtained binary volume is processed by morphological operators, frame-by-frame, to get the inner and outer boundaries of the bone. These curves are used to initialize a 2D deformable model that generates the prosthesis boundary in each CT frame. In this way, we can fill the prosthesis volume which is the input for a marching cubes technique that computes the digital model of the target geometry. In the experimental results we demonstrate the potential of our technique and compare it with a related one.