Raw data – Pipeline Validation of finite element model of a human spine segment

The file dataset contains the data used for the validation study on subject-specific finite element model (FEM) of a metastatic spine segment. The model was developed starting from quantitative computed tomography images of a cadaveric lumbar spine segment (L1-L4) obtained by an ethically-approved donation program. Numerical simulations were performed in Ansys Mechanical APDL to simulate the experimental test where the cadaveric specimen was loaded in compression-bending using a uniaxial testing machine. Model predictions in terms of surface displacements on L2 and L3 vertebral bodies were compared to the experimental displacements measured with Digital Image Correlation (DIC). Results obtained from the local comparison between experimental data and simulation results showed good prediction accuracy (R2 > 0.9 and RMSE% < 8%). Specifically, the dataset contains experimental data obtained using the Digital Image Correlation technique and the results of the simulations in term of coordinates and displacement vectors. Two regions of interest (RoIs) were identified in the antero-lateral surfaces of the vertebral bodies: RoI #1 corresponds to the surface of the metastatic vertebra (L2), while RoI #2 is related to the surface of the control vertebra (L3).