Generation of mineral density distribution maps from subject‐specific models of mandibles – a preliminary study

Alister, Francisco; Ramos‐Grez, Jorge; Vargas, Alex

doi:10.1002/rcs.1418

Cited by 1 publication

(1 citation statement)

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“…The use of a multiple materials FEM scheme [6,11] renders an enhancement of the FEM technique as it can realistically include the distribution of the mechanical properties of the subject-specific bone specimen. When loads and boundary conditions are well determined spatially and do not change significantly over time, deformations are bounded and materials properties are homogeneous; then, the FEM scheme in general will render results, from which output practical decisions could be made.…”

Section: Introductionmentioning

confidence: 99%

Finite element modeling of multiple density materials of bone specimens for biomechanical behavior evaluation

et al. 2021

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The finite elements method allied with the computerized axial tomography (CT) is a mathematical modeling technique that allows constructing computational models for bone specimens from CT data. The objective of this work was to compare the experimental biomechanical behavior by three-point bending tests of porcine femur specimens with different types of computational models generated through the finite elements’ method and a multiple density materials assignation scheme. Using five femur specimens, 25 scenarios were created with differing quantities of materials. This latter was applied to computational models and in bone specimens subjected to failure. Among the three main highlights found, first, the results evidenced high precision in predicting experimental reaction force versus displacement in the models with larger number of assigned materials, with maximal results being an R2 of 0.99 and a minimum root-mean-square error of 3.29%. Secondly, measured and computed elastic stiffness values follow same trend with regard to specimen mass, and the latter underestimates stiffness values a 6% in average. Third and final highlight, this model can precisely and non-invasively assess bone tissue mechanical resistance based on subject-specific CT data, particularly if specimen deformation values at fracture are considered as part of the assessment procedure.

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Section: Introductionmentioning

confidence: 99%