220. AUTOMATIC MESH GENERATION FOR BIOMECHANICAL MODELS BASED ON 3D MICRO-CT IMAGES

Department: Structural Engineering
Faculty Advisor(s): Petr Krysl

Primary Student
Name: Poorya Mirkhosravi
Email: pmirkhos@ucsd.edu
Phone: 858-534-2618
Grad Year: 2015

Abstract
3D Micro-CT and Micro-MR imaging techniques are widely used in practice to extract and represent the shape of internal organs as 3D voxel sets. The voxel data are the basis for the construction of the computational mesh required in biomechanical simulations. The direct conversion of the voxels of the Micro-CT images to cubic finite elements results to very fine discretizations whose numerical analysis are beyond current computational capacities. Therefore, the aim of this research is to obtain coarser meshes with minimal loss of details through a heuristic algorithm. The heuristic algorithm generates a coarse unstructured hexahedral mesh which is capable of representing the intricate details of the biomechanical models with a reasonable resolution on the surface boundaries. The resulting finite element mesh of this automatic process will then be analyzed using Nodally Integrated Continuum Elements (NICE) which are insensitive to mesh distortions. The effectiveness of the algorithm will be investigated by generating computational models of the auditory system of marine mammals.

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