EventsThe 1st International Online Conference on Bioengineering
Published
This submission belongs to the session 2. Biomechanics and Sports Medicine of the event The 1st International Online Conference on Bioengineering
Published date
11 Oct, 2024
Academic Editor
author-avatarFranz Konstantin Fuss
Citation
Ebrahim Ismaiel, Hussam Hanna, George Haddad, Nazem Jbara, Mahfoud Al-Sawaf, Applying 3D Modelling and Numerical Simulation Techniques for Precise Orthotic Design in Scoliosis Treatment, in Proceedings of The 1st International Online Conference on Bioengineering, 16 October–18 October 2024, MDPI: Basel, Switzerland
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Applying 3D Modelling and Numerical Simulation Techniques for Precise Orthotic Design in Scoliosis Treatment

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1. Faculty of Biomedical Engineering, Al-Andalus University for Medical Science, Tartous, Syria., Syrian Arab Republic
2. Department of Medicine and Surgery, University of Parma, Parma, Italy., Hungary
Abstract

Scoliosis is a three-dimensional deformity of the trunk and spine that can develop significantly during growth stages. Recently, computer-aided design has played a crucial role in various physical rehabilitation and orthotic applications. This study focuses on designing medical orthotics using 3D modelling and force simulation techniques, aiming to improve the accuracy and effectiveness of scoliosis treatments.

The approach starts by reconstructing a 3D model of the scoliosis case using computed tomography (CT) data and then employs Solidworks software to analyse and simulate the mechanical properties. The numerical simulation of applying different pressure points with varying values generates a comprehensive dataset of curves that express the spine's deformity, simulating correction using different braces with distinct pressure points in Solidworks. By selecting the optimal pressure points in various planes, we were able to manufacture a precise 3D model that addresses scoliosis based on pre-examined pressure points.

This study demonstrates that combining engineering and medical technologies can significantly enhance the quality of treatment and effectively meet patients' needs. Furthermore, advancements in 3D printing technology enable the production of highly accurate and customized orthotic devices, ensuring a perfect fit for each patient's unique anatomical structure. The ability to rapidly prototype and adjust designs in real time significantly reduces the time and cost associated with traditional orthotic manufacturing methods. Moreover, the integration of deep artificial neural networks could further refine the design process, enabling the reconstruction of appropriate scoliosis braces based on extensive data analysis and predictive modeling.

Keywords
Scoliosis
3D Modeling
Force Simulation
Orthotic Design
Computer-Aided Design (CAD)
Poster
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