Abstract
Finite element method (FEM) biomechanical analyses have proved their effectiveness on prosthesis set up and bone tissue biomechanical behavior research through different studies. Over the past few years, new transactional appliances of performing biomechanical in silico studies have been found highly interesting for orthopedic surgery and traumatology. One of the main drawbacks for swift FEM model building on joint, and complex structure scenarios, is the high workload derived from 3D model building and subjacent medical image processing. As a consequence, new breakthrough segmentation methodologies development would significantly help to improve the contributions of FEM models to medical daily practice reaching more effective workflows to build the models. For this reason, a new approach for an automatic, semi-assisted segmentation methodology is proposed centered on FEM ready mesh modeling from bone tissue region isolation defined on medical images. Generated meshes from proposed methodology have proved to be coherent for FEM remeshing and they were able to generate a robust node and elements model, avoiding mesh holes and errors. Moreover, those meshes showed mechanical behavior similarities on FEM essays with manually created models, proving their reliability. To conclude, this methodology is a valid alternative for bio-mechanical model development from medical image tissue region isolation, allowing researchers and engineers to reduce time needed for 3D model generation processes.
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Acknowledgements
This research was funded in part by a grant (PI19/01805) from the Instituto de Salud Carlos III, co-funded by European Regional Development Fund (ERDF) “A way to build Europe” and by Fundación Rioja Salud. I.M.L. is supported by a Miguel Servet contract (CPII20/00029) from the Instituto de Salud Carlos III, co-funded by European Social fund (ESF) “Investing in your future”.
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Pérez-Sala, Á. et al. (2022). Semiautomatic Modeling of Bone Tissue from Medical Image for Finite Element Method Based Biomechanical Studies. In: Cavas Martínez, F., Peris-Fajarnes, G., Morer Camo, P., Lengua Lengua, I., Defez García, B. (eds) Advances in Design Engineering II. INGEGRAF 2021. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-92426-3_23
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