Material-driven mesh derived from medical images. A case study on patient-specific modeling of the lumbar spine

Ho Quang Nguyen (1) , Marc Benoit (1) , Caroline Jobin (1) , Tien Tuan Dao (1) , Alain Rassineux (2) , Marie-Christine Ho Ba Tho (1)

1 BMBI - Biomécanique et Bioingénierie
2 Roberval - Roberval

This work presents a methodology for patient - specific finite element modeling which takes both individualized geometry and material properties of biological structures into consideration. In this study, the mesh is driven by personalized material knowledge which is extracted from advanced medical imaging. Additionally, a user - friendly program including image processing, material - driven meshing and material properties assignment, named C3M “Computed Material - driven Mesh Model”, has been developed to generate efficiently subject - specific FE models derived from medical images. This process is applied to generate a patient specific FE model of lumbar spine based on both MRI and CT images.

Mots clés: patient specific finite element model; material - driven meshing; medical images; lumbar spine

Mots clés: modèles éléments finis personnalisés; segmentation images médicales; maillage; propriétés mécaniques; vertèbres; disque intervétebral

Domaines: Mécanique des structures [physics.class-ph]

Ho Quang Nguyen, Marc Benoit, Caroline Jobin, Tien Tuan Dao, Alain Rassineux, et al.. Material-driven mesh derived from medical images. A case study on patient-specific modeling of the lumbar spine. 13e colloque national en calcul des structures, Université Paris-Saclay, May 2017, Giens, Var, France. ⟨hal-01922243⟩