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Custom orthotic design by integrating 3D scanning and subject-specific FE modelling workflow
Yinghu Peng1,2, Yan Wang2,3,4, Qida Zhang5
1CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Medical & Biological Engineering & Computing
|March 6, 2024
Summary
This study introduces a faster method for creating subject-specific finite element (FE) foot models for custom orthotic design. The surface-based FE model (SFEM) accurately predicts foot and orthotic pressures, streamlining the design process.
Area of Science:
- Biomechanics
- Medical Engineering
- Computational Modeling
Background:
- Finite element (FE) foot models aid in understanding foot mechanics and designing custom orthoses.
- Current FE model development is often time-consuming and expensive.
Purpose of the Study:
- To develop a subject-specific scaled foot modeling workflow for orthotic design using scanned foot surface data.
- To validate the accuracy of the developed model in predicting interface pressures.
Main Methods:
- A subject-specific surface-based finite element model (SFEM) was created using scanned foot surfaces and scaled bone geometries.
- Geometric deviations between scaled and scanned surfaces were quantified.
- The SFEM was used to predict barefoot and foot-orthosis interface pressures.
Main Results:
- The average geometric deviation between scaled and scanned surfaces was 0.23 ± 0.09 mm, with no significant differences except in the lateral forefoot.
- The SFEM predicted foot-orthosis interface pressures with a maximum deviation of 7.1% compared to measurements.
- The model demonstrated good accuracy in predicting both barefoot and orthotic pressures.
Conclusions:
- The subject-specific scaled foot modeling workflow (SFEM) can accurately predict barefoot and foot-orthosis interface pressures.
- This SFEM technique has the potential to significantly expedite the design and optimization of custom foot orthoses.
- The developed workflow offers a more efficient alternative for creating patient-specific FE foot models.

