Geometric accuracy analysis in mesh-to-solid conversion for 3D anatomical models through Taguchi methodology

[EN] Three-dimensional reconstruction of anatomical models from clinical data faces challenges in maintaining geometric fidelity during the conversion of surface models to parametric solids. Mesh processing techniques, such as smoothing, remeshing, and polygon reduction, aim to optimize mesh quality but can lead to a loss of geometric information. A methodology has been developed to process 3D surface model meshes, focusing on converting them into solids from both faceted and organic geometries. This approach examines the impact of different processing methods on the mesh topology and post-conversion geometry. Using the Taguchi methodology with an L16 orthogonal design, three factors: smooth factor, remesh, and percentage of polygon reduction were analyzed. Results showed that the smooth factor had the most significant influence (p < 0.01), followed by remesh (p< 0.05), while polygon reduction was less relevant (p > 0.05). Statistical analysis revealed that conversion techniques resulted in significant differences (p = 0.0012), with faceted geometry yielding values closer to the target. However, limitations in current mesh processing methods and conversion techniques were also identified.