Description

3D image data (CT voxel data) are commonly used in biomedical applications as basis for simulation models. One challenge is how to get a mesh directly from segmented data. CGAL provides a solution to this problem. But such a mesh do not has a perfect quality which is needed for simulation models.

The task for this GSoC project is to develop a mesh improvement algorithm which is volume preserving (no shrinkage of the model). The new algorithm will be tested on several biomedical application examples.

Benefit for the Student

The student will get in touch with the challenging topic of 3D meshing and will learn how to improve volumetric meshes.

Benefit for the Project

The Mesh improvement algorithm will allow ViennaMesh generate meshes of desired quality for further sicentific processing.

Requirements

The student has to provide good skills in C++ and basic knowledge in geometry.

Mentors

Florian Rudolf, Dieter Pahr, Josef Weinbub

Contact

Mentors are regularly around in our GSoC IRC channel #TU-CSE-SoC at irc.freenode.net. You can also reach us via the mailinglist – send an email to This email address is being protected from spambots. You need JavaScript enabled to view it. using the prefix [ViennaMesh] (a subscription is required).

More information

http://www.iue.tuwien.ac.at/cse/wiki2014/doku.php?id=mesh_improvement_of_voxel_meshes