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A Cortical Thickness Mapping Method for the Coxal Bone Using Morphing.

J Sebastian Giudice1, David Poulard1, Bingbing Nie1

  • 1Department of Mechanical and Aerospace Engineering, Center for Applied Biomechanics, University of Virginia, Charlottesville, VA, United States.

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Summary
This summary is machine-generated.

A novel method transfers bone cortical thickness between human body finite element models, enabling more accurate anthropometric representations for safety research. This technique addresses data gaps in new models by leveraging existing data, improving subject-specific simulations.

Keywords:
GHBMCKrigingcortical bonefinite element modelinghuman body modelingpelvis

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Area of Science:

  • Biomechanics and Computational Modeling
  • Human Anatomy and Physiology
  • Finite Element Analysis

Background:

  • Increasing integration of human body finite element models in safety design necessitates models reflecting population anthropometric variations.
  • Development of new models often requires transferring data from existing models due to missing information, such as cortical bone thickness.
  • Computed tomography (CT) scan resolution limits can hinder obtaining precise cortical thickness data for specific anatomical regions.

Purpose of the Study:

  • To present a novel method for transferring cortical bone thickness information from a source (50th percentile male) to a target (5th percentile female) human body finite element model.
  • To address the unavailability of coxal bone cortical thickness data in the F05 model due to CT scan resolution limitations.
  • To validate the projected cortical thickness by comparing simulated quasi-static pelvis compression results with experimental data.

Main Methods:

  • Morphed the Global Human Body Models Consortium (GHBMC) 50th percentile male (M50) coxal bone model to the 5th percentile female (F05) anthropometry using a Kriging method with 132 control points.
  • Determined F05 coxal bone cortical thickness by non-linearly weighting the average cortical thickness of morphed M50 (mM50) nodes based on distance to F05 nodes, optimizing the weighting coefficient (β).
  • Simulated quasi-static pelvis compression on the F05 model with varying β values to assess the impact on failure force and displacement.

Main Results:

  • The Kriging morphing technique achieved a mean nodal discrepancy of 1.27 mm between the F05 and mM50 coxal bones, indicating high accuracy.
  • The optimal non-linear weighting coefficient (β) was found to be 4, balancing projection accuracy and smoothness.
  • Increasing β from 0 to 4 in quasi-static pelvis compression simulations resulted in a decrease in failure force (~100 N) and an increase in failure displacement (0.9 mm).

Conclusions:

  • The developed method effectively transfers cortical bone thickness information between human body finite element models with different geometries, aiding the creation of more accurate subject-specific models.
  • The projected cortical thickness data, validated by quasi-static pelvis compression comparable to experimental results, enhances the reliability of finite element models for safety analysis.
  • This technique is applicable to other anatomical regions (e.g., femur, ribs) and various finite element model families, supporting broader advancements in biomechanical research and safety regulations.