Geometry reconstruction method for patient-specific finite element models for the assessment of tibia fracture risk in osteogenesis imperfecta - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Medical and Biological Engineering and Computing Année : 2016

Geometry reconstruction method for patient-specific finite element models for the assessment of tibia fracture risk in osteogenesis imperfecta

Résumé

Lower limb deformation in children with osteogenesis imperfecta (OI) impairs ambulation and may lead to fracture. Corrective surgery is based on empirical assessment criteria. The objective was to develop a reconstruction method of the tibia for OI patients that could be used as input of a comprehensive finite element model to assess fracture risks. Data were obtained from three children with OI and tibia deformities. Four pQCT scans were registered to biplanar radiographs, and a template mesh was deformed to fit the bone outline. Cortical bone thickness was computed. Sensitivity of the model to missing slices of pQCT was assessed by calculating maximal von Mises stress for a vertical hopping load case. Sensitivity of the model to ±5% of cortical thickness measurements was assessed by calculating loads at fracture. Difference between the mesh contour and bone outline on the radiographs was below 1mm. Removal of one pQCT slice increased maximal von Mises stress by up to 10%. Simulated ±5% variation of cortical bone thickness leads to variations of up to 4.1% on predicted fracture loads. Using clinically available tibia imaging from children with OI, the developed reconstruction method allowed the building of patient-specific finite element models.
Fichier non déposé

Dates et versions

hal-01472723 , version 1 (21-02-2017)

Identifiants

Citer

Christiane Caouette, Nicole Ikin, Isabelle Villemure, Pierre-Jean Arnoux, Frank Rauch, et al.. Geometry reconstruction method for patient-specific finite element models for the assessment of tibia fracture risk in osteogenesis imperfecta. Medical and Biological Engineering and Computing, 2016, 12p. ⟨10.1007/s11517-016-1526-5⟩. ⟨hal-01472723⟩
196 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More