Abstract:
This paper details the development of semi-automated finite element models (FEMs) to analyze the biomechanics of human joints. The research addresses challenges in creating these models, such as the need for high-resolution medical data and the difficulty of converting large datasets into a usable format for FEMs. The authors used a high-resolution X-ray CT scanner to acquire precise data and developed a semi-automated method for generating volumetric hexahedral meshes. The process involves several steps: data acquisition, segmentation, surface extraction, volumetric mesh generation, and finite element modeling. The paper describes the use of a template-based approach for generating hexahedral meshes, which are preferred for dynamic simulations due to their faster convergence compared to tetrahedral meshes. This method, which minimizes manual interaction, allows for the rapid development of patient-specific models. The authors aim to provide tools that will be useful for clinicians and biomechanics researchers in areas such as clinical diagnosis, treatment planning, and the improvement of prosthetic joint designs.
