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High Biofidelity 3D Biomodel Reconstruction from Soft and Hard Tissues (Knee), FEM, and 3D Printing: A
Rodrigo Arturo Marquet-Rivera1, Guillermo Urriolagoitia-Sosa1, Rosa Alicia Hernández-Vázquez2
1Instituto Politécnico Nacional, Escuela Superior de Ingeniería Mecánica y Eléctrica, Sección de Estudios de Posgrado e Investigación, Unidad Profesional Adolfo López Mateos "Zacatenco", Avenida Instituto Politécnico Nacional s/n, Edificio 5, 2do. Piso, Col, Lindavista, C.P. 07320 Ciudad de, Mexico.
This study presents an optimized methodology for creating high-biofidelity human knee biomodels. The approach reduces computational resources and development time, enabling precise biomechanical simulations.
Area of Science:
- Biomedical Engineering
- Computational Biology
- Medical Imaging
Background:
- Biomodelling advances engineering, biology, and medicine, impacting fields from prosthetics to rehabilitation.
- Current biomodelling requires significant time, resources, and expertise, with a need for enhanced precision.
- Existing computational methods for tissue reproduction have evolved but still present challenges in efficiency and accuracy.
Purpose of the Study:
- To present a novel methodology for optimizing biomodelling computational resources and reducing elaboration time.
- To generate a high-biofidelity biomodel of the human knee, including hard and soft tissues.
- To enable accurate numerical analyses of knee biomechanics through a detailed biomodel.
Main Methods:
- Development of a methodology to optimize computational resources and reduce biomodel creation time.
- Generation of a comprehensive human knee biomodel encompassing femur, tibial plateaus, ligaments, and meniscus.
- Assignment of specific mechanical properties to each anatomical tissue within the biomodel.
Main Results:
- Successful creation of a high-biofidelity human knee biomodel.
- Optimization of computational resources and reduction in biomodel elaboration time.
- Capability to perform numerical analyses yielding results similar to real-life scenarios.
Conclusions:
- The proposed methodology significantly enhances the efficiency of creating precise human knee biomodels.
- This biomodelling approach facilitates accurate biomechanical simulations for research and clinical applications.
- The ability to assign specific mechanical properties to tissues improves the fidelity of computational analyses.
