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Dual-zone material assignment method for correcting partial volume effects in image-based bone models

Author

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  • Brendan Inglis
  • Daniel Grumbles
  • Hannah L. Dailey

Abstract

In image-based finite element analysis of bone, partial volume effects (PVEs) arise from image blur at tissue boundaries and as a byproduct of geometric reconstruction and meshing during model creation. In this study, we developed and validated a material assignment approach to mitigate partial volume effects. Our validation data consisted of physical torsion testing of intact tibiae from N = 20 Swiss alpine sheep. We created finite element models from micro-CT scans of these tibiae using three popular element types (10-node tetrahedral, 8-node hexahedral, and 20-node hexahedral). Without partial volume management, the models over-predicted the torsional rigidity compared to physical biomechanical tests. To address this problem, we implemented a dual-zone material model to treat elements that overlap low-density surface voxels as soft tissue rather than bone. After in situ inverse optimization, the dual-zone material model produced strong correlations and high absolute agreement between the virtual and physical tests. This suggests that with appropriate partial volume management, virtual mechanical testing can be a reliable surrogate for physical biomechanical testing. For maximum flexibility in partial volume management regardless of element type, we recommend the use of the following dual-zone material model for ovine tibiae: soft-tissue cutoff density of 665 mgHA/cm3 with a soft tissue modulus of 50 MPa (below cutoff) and a density-modulus conversion slope of 10,225 MPa-cm3/mgHA for bone (above cutoff).

Suggested Citation

  • Brendan Inglis & Daniel Grumbles & Hannah L. Dailey, 2023. "Dual-zone material assignment method for correcting partial volume effects in image-based bone models," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 26(12), pages 1431-1442, September.
  • Handle: RePEc:taf:gcmbxx:v:26:y:2023:i:12:p:1431-1442
    DOI: 10.1080/10255842.2022.2119383
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