Authors:
Leo Nicolle
1
;
Julien Bonneton
1
;
Hubert Konik
2
;
Damien Muselet
2
and
Laure Tougne
1
Affiliations:
1
LIRIS, France
;
2
Univ. Lyon and UJM-Saint-Etienne, France
Keyword(s):
Bone Fragments, 3D Reconstruction, Spatial Decomposition, Triangle Mesh.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Computer Vision, Visualization and Computer Graphics
;
Entertainment Imaging Applications
;
Mobile Imaging
Abstract:
The generation of a virtual representation of the bones and fragments is an artificial step required in order to obtain helpful models to work with in a simulation. Nowadays, the Marching Cubes algorithm is a de facto standard for the generation of geometric models from medical images. However, bone fragments models generated by Marching Cubes are huge and contain many unconnected geometric elements inside the bone due to the trabecular tissue. The development of new methods to generate geometrically simple 3D models from CT image stacks that preserve the original information extracted from them would be of great interest. In order to achieve that, a preliminary study for the development of a new method to generate triangle meshes from segmented medical images is presented. The method does not modify the points extracted from CT images, and avoid generating triangles inside the bone. The aim of this initial study is to analyse if a spatial decomposition may help in the process of gen
erating a triangle mesh by using a divide-and-conquer approach. The method is under development and therefore this paper only presents some initial results and exposes the detected issues to be improved.
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