Automatic tetrahedral mesh generation for 3D multi-domains, a fundamental step in the construction of realistic models for finite element method (FEM) analysis, has received a significant amount of attention in recent years (see ).
In particular, automatic mesh generation of realistic biomechanical models is a challenging task due to the very diverse geometric scales present in the human body and the inherently complex topology of human tissues (). The conventional workflow involves a segmentation step needed to delineate the anatomy followed by a meshing step., which is often a cumbersome and time-consuming process that constitutes a major bottleneck that side-rails automation of the modeling-simulation pipeline.
The aim of this project is to develop a robust and fully automated octree-based mesh-generation algorithm capable of producing high-quality tetrahedral meshes from segmented images for realistic cases (). The main focus will be on accurate reconstruction of the interfaces between different body-tissues . The extent of the project will be defined and finalized according to the interests and background of the student.
The student should have good/intermediate programming skills (C++) and will be provided with a main algorithmic framework (Sim4Life).
The workflow will include:
Please contact Dr. Alessandro Alaia for more information and further details.
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Please send applications to Charlotte Roberts at firstname.lastname@example.org