Abstract
The goal of this study is to show the process for obtaining a 3D model of a canine tibia using free software from clinical quality computed tomography (CT) images. In this case, the obtained model was used for generating a computer simulation with the Finite Element Method (FEM) and for generating a 3D printed canine tibia. First, a real canine tibia was scanned in order to generate Dicom (Digital Imaging and Communication on Medicine) CT images. Using the open source 3D Slicer, the Dicom CT images, the cortical and trabecular bones were segmented to construct to build a first 3D tibia model. The defects of this first 3D model were examined, and its surfaces were smoothed using open source MeshMixer software. Subsequently, the smoothed 3D tibia model was exported to STL file (Standard Triangle Language), and then imported to Mentat-Marc FEM software in which uniform tetrahedral elements meshes for the trabecular and cortical bones were generated. These 3D meshes were used to develop a Finite Element Analysis for studying the mechanical stiffness of the tibia. Also, the stl file obtained was imported to the Wanhao cura v.18.04 software, and the G-code file were created. Finally, a 3D canine tibia model was printed in a Wanhao Duplicator 6 3D printer with ivory-colored PLA. This 3D printed model was used for later for educational training.
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References
Evans, H.E., De Lahunta, A.: Miller’s Anatomy of the Dog-E-Book. Elsevier Health Sciences, St. Louis (2013)
Gemmill, T.J., Cave, T.A., Clements, D.N., Clarke, S.P., Bennett, D., Carmichael, S.: Treatment of canine and feline diaphyseal radial and tibial fractures with low-stiffness external skeletal fixation. J. Small Anim. Pract. 45(2), 85–91 (2004)
Johnson, A.L., Kneller, S.K., Weigel, R.M.: Radial and tibial fracture repair with external skeletal fixation: effects of fracture type, reduction, and complications on healing. Vet. Surg. 18(5), 367–372 (1989)
Esses, S.J., Berman, P., Bloom, A.I., Sosna, J.: Clinical applications of physical 3D models derived from MDCT data and created by rapid prototyping. Am. J. Roentgenol. 196(6), W683–W688 (2011)
Rengier, F., Mehndiratta, A., Von Tengg-Kobligk, H., Zechmann, C.M., Unterhinninghofen, R., Kauczor, H.U., Giesel, F.L.: 3D printing based on imaging data: review of medical applications. Int. J. Comput. Assist. Radiol. Surg. 5(4), 335–341 (2010)
Chua, C.K., Chou, S.M., Lin, S.C., Eu, K.H., Lew, K.F.: Rapid prototyping assisted surgery planning. Int. J. Adv. Manuf. Technol. 14(9), 624–630 (1998)
Mertz, L.: Dream it, design it, print it in 3-D: what can 3-D printing do for you? IEEE Pulse 4(6), 15–21 (2013)
Lee, M.Y., Chang, C.C., Ku, Y.C.: New layer-based imaging and rapid prototyping techniques for computer-aided design and manufacture of custom dental restoration. J. Med. Eng. Technol. 32(1), 83–90 (2008)
Harrysson, O.L., Hosni, Y.A., Nayfeh, J.F.: Custom-designed orthopedic implants evaluated using finite element analysis of patient-specific computed tomography data: femoral-component case study. BMC Musculoskelet. Disord. 8(1), 91 (2007)
Goerne, H., Rajiah, P.: Computed tomography. In: Right Heart Pathology, pp. 601–612. Springer, Cham (2018)
Fedorov, A., Beichel, R., Kalpathy-Cramer, J., Finet, J., Fillion-Robin, J.C., Pujol, S., Bauer, C., Jennings, D., Fennessy, F., Sonka, M., Buatti, J., Aylward, S., Miller, J.V., Pieper, S., Kikinis, R.: 3D Slicer as an image computing platform for the Quantitative Imaging Network. Magn. Reson. Imaging 30(9), 1323–1341 (2012)
Autodesk Meshmixer: http://www.meshmixer.com. Accessed 19 Sept 2019
Öchsner, A., Öchsner, M.: The Finite Element Analysis Program MSC Marc/Mentat. Springer, Singapore (2016)
Somovilla-Gómez, F., Lostado-Lorza, R., Corral-Bobadilla, M., Escribano García, R.: Improving the process of adjusting the parameters of finite element models of healthy human intervertebral discs by the multi-response surface method. Materials 10(10), 1116 (2017)
Somovilla-Gómez, F., Lostado-Lorza, R., Corral-Bobadilla, M., Escribano-García, R.: Improvement in determining the risk of damage to the human lumbar functional spinal unit considering age, height, weight and sex using a combination of FEM and RSM. Biomech. Model. Mechanobiol. 19(1), 351–387 (2019)
McCartney, W., MacDonald, B., Ober, C.A., Lostado-Lorza, R., Somovilla-Gómez, F.: Pelvic modelling and the comparison between plate position for double pelvic osteotomy using artificial cancellous bone and finite element analysis. BMC Vet. Res. 14(1), 100 (2018)
Wanhao 3D printer: http://wanhao3dprinter.com/Index.html. Accessed 19 Sept 2019
Acknowledgments
The authors wish to thank the University of La Rioja, Insorvet veterinary orthopedics (https://www.insorvet.com/en_US/), Albeitar Veterinary Hospital (https://hospitalalbeitar.com/) and to the Autonomous University of Barcelona (AUB).
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Somovilla-Gómez, F. et al. (2020). 3D-Printed Canine Tibia Model from Clinical Computed Tomography Data. In: Cavas-Martínez, F., Sanz-Adan, F., Morer Camo, P., Lostado Lorza, R., Santamaría Peña, J. (eds) Advances in Design Engineering. INGEGRAF 2019. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-41200-5_28
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DOI: https://doi.org/10.1007/978-3-030-41200-5_28
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