Paper
16 June 2023 An interfragmentary movement direction adjustment method for fracture healing based on genetic algorithm
Weijian Zhong, Xianmin Zhang, Junjie Du, Yebin Cai
Author Affiliations +
Proceedings Volume 12639, Third International Conference on Mechanical Design and Simulation (MDS 2023); 1263918 (2023) https://doi.org/10.1117/12.2681849
Event: Third International Conference on Mechanical Design and Simulation (MDS 2023), 2023, Xi'an, China
Abstract
The mechanical microenvironment of the callus plays an important role in fracture healing. Many literatures have studied the influence of parameters in the mechanical microenvironment (such as fixator configuration, loading, etc.) on fracture healing. Few of them consider the influence from the direction of interfragmentary movement (IFM). In this study, combining the characteristics of a new type of external fixator, a genetic algorithm-based method for adjusting the IFM direction for fracture healing is proposed. In this method, the Mechano‐regulatory theory is used to simulate the fracture healing process, with the goal of improving the axial stiffness of the callus, and the optimal IFM direction is then found by utilizing genetic algorithm. The results show that the IFM orientation obtained by the proposed method can increase the axial stiffness of the callus faster. Moreover, it means that the weight-bearing capacity of the tibia can be quickly restored, and the external fixator can be removed as soon as possible, which provides a reference for solving the delayed and non-union problems of oblique fractures.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Weijian Zhong, Xianmin Zhang, Junjie Du, and Yebin Cai "An interfragmentary movement direction adjustment method for fracture healing based on genetic algorithm", Proc. SPIE 12639, Third International Conference on Mechanical Design and Simulation (MDS 2023), 1263918 (16 June 2023); https://doi.org/10.1117/12.2681849
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KEYWORDS
Bone

Tissues

Genetic algorithms

Biomechanics

Compliance

Engineering

Modeling

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