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Reverse engineering applied to biomodelling and pathological bone manufacturing using FDM technology

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Reverse engineering applied to biomodelling and pathological bone manufacturing using FDM technology

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Laura Piles; Miguel J. Reig; Vte. Jesús Seguí; Rafael Pla; Fernando Martínez; José Miguel Seguí (2019). Reverse engineering applied to biomodelling and pathological bone manufacturing using FDM technology. Procedia Manufacturing. 41:739-746. https://doi.org/10.1016/j.promfg.2019.09.065

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/160074

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Título: Reverse engineering applied to biomodelling and pathological bone manufacturing using FDM technology
Autor: Laura Piles Miguel J. Reig Vte. Jesús Seguí Rafael Pla Fernando Martínez José Miguel Seguí
Entidad UPV: Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d'Enginyeria Mecànica i de Materials
Fecha difusión:
Resumen:
[EN] Reverse engineering and medical image-based modeling technologies allow manufacturing of 3D biomodels of anatomical structures of human body. These techniques are based on anatomical information from scanning data ...[+]
Palabras clave: FDM , Reverse Engineering , CT Data , Bones , Image Processing , Modeling Techniques , 3D Printing
Derechos de uso: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Fuente:
Procedia Manufacturing. (eissn: 2351-9789 )
DOI: 10.1016/j.promfg.2019.09.065
Editorial:
Elsevier
Versión del editor: https://doi.org/10.1016/j.promfg.2019.09.065
Título del congreso: 8th Manufacturing Engineering Society International Conference (MESIC 2019)
Lugar del congreso: Madrid, España
Fecha congreso: Junio 19-21,2019
Código del Proyecto:
info:eu-repo/grantAgreement/UPV//UPV-FISABIO-2017-003-1606/
Agradecimientos:
The authors wish to acknowledge the support of Ms. Jerica Risent and Mr. Joan Ortiz of Ford Motor Company for his assistance in the scanning of printed models. This work was supported by the Polisabio Funding (UPV-Fisabio 2017)[+]
Tipo: Artículo Comunicación en congreso

References

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Lalone, E. A., Willing, R. T., Shannon, H. L., King, G. J. W., & Johnson, J. A. (2015). Accuracy assessment of 3D bone reconstructions using CT: an intro comparison. Medical Engineering & Physics, 37(8), 729-738. doi:10.1016/j.medengphy.2015.04.010

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Van Eijnatten, M., Berger, F. H., de Graaf, P., Koivisto, J., Forouzanfar, T., & Wolff, J. (2017). Influence of CT parameters on STL model accuracy. Rapid Prototyping Journal, 23(4), 678-685. doi:10.1108/rpj-07-2015-0092

Lalone, E. A., Willing, R. T., Shannon, H. L., King, G. J. W., & Johnson, J. A. (2015). Accuracy assessment of 3D bone reconstructions using CT: an intro comparison. Medical Engineering & Physics, 37(8), 729-738. doi:10.1016/j.medengphy.2015.04.010

Stull, K. E., Tise, M. L., Ali, Z., & Fowler, D. R. (2014). Accuracy and reliability of measurements obtained from computed tomography 3D volume rendered images. Forensic Science International, 238, 133-140. doi:10.1016/j.forsciint.2014.03.005

Van Eijnatten, M., van Dijk, R., Dobbe, J., Streekstra, G., Koivisto, J., & Wolff, J. (2018). CT image segmentation methods for bone used in medical additive manufacturing. Medical Engineering & Physics, 51, 6-16. doi:10.1016/j.medengphy.2017.10.008

Javaid, M., & Haleem, A. (2018). Additive manufacturing applications in medical cases: A literature based review. Alexandria Journal of Medicine, 54(4), 411-422. doi:10.1016/j.ajme.2017.09.003

D.V.C. Stoffelen, K. Eraly, P. Debeer, The use of 3D printing technology in reconstruction of a severe glenoid defect: a case report with 2.5 years of follow-up, Journal of Shoulder Elbow Surgery, 24 (2015) e218-e222

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