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Elementwise material assignment in reconstructed or transformed patient-specific FEA models developed from CT scans.
Peter Schwarzenberg1, Hannah L Dailey1
1Department of Mechanical Engineering and Mechanics, Lehigh University, Bethlehem, PA, USA.
Computer Methods in Biomechanics and Biomedical Engineering
|December 7, 2019
Summary
A new algorithm reconstructs transformed computed tomography (CT) scans for patient-specific finite element modeling. This method enables accurate virtual biomechanical testing of repaired bone defects, crucial for clinical applications.
Area of Science:
- Biomedical Engineering
- Medical Imaging
- Computational Mechanics
Background:
- Patient-specific finite element modeling (PFEM) relies on elementwise material assignment from CT data.
- Commercial software cannot perform elementwise material mapping on transformed meshes, limiting PFEM for applications like bone reconstruction.
Purpose of the Study:
- To develop an algorithm for transforming and reconstructing CT scans.
- To enable accurate material mapping and virtual biomechanical testing of repaired bone defects.
Main Methods:
- Developed an algorithm to transform and reconstruct CT scans, including gap filling at discontinuities.
- Performed virtual mechanical testing on reconstructed models.
Main Results:
- Iterative reconstruction successfully retained material heterogeneity.
- Minimal strain artifacts were observed.
- Whole-bone mechanics achieved clinical equivalence (within 5%) to homogeneous models.
Conclusions:
- The developed algorithm allows for defect repair in CT scans for PFEM.
- This approach expands the viability of clinical CT scans for virtual biomechanics.
- Enables biomechanical analysis of repaired bone structures.
