3D Bio-Cad modeling of human mandible and fabrication by rapid-prototyping technology

Abstract

The purpose of this study is to prepare a model of the human mandible in accordance with anatomical structure and fabricated by rapid-prototyping (RP) technology. In this study, a computed tomographic (CT) scan of a dentate mandible was obtained with a 0.3 mm voxel resolution with capability to export to DICOM format. The data were cleaned; edited and separated ‘mask’ generated for cortical bone, cancellous bone, and teeth using Mimics 10.01 and Geomagic 11.0 software. The data were imported to Solidworks from Geomagic and converted to the solid model and fabricated by 3D rapid-prototyping technique. The mandible structure was divided into layers and then an average Young’s modulus value was calculated for each layer of cortical bone and cancellous bone using the basis of CT density as in previously published protocols. In this study, the procedure of obtaining bio-CAD model of mandible methodology has nine phases: computed tomography (CT), 2D segmentation, calculating 3D object from scanned data, reverse engineering interface, point cloud data processing, surface reconstruction, solid model reconstruction, obtaining bio-CAD model, and fabricating the model using RP technology. The average Young’s Modulus value of cortical bone and cancellous bone was calculated 30100.88 MPa, and 685.42 MPa, respectively. As a result, according to expert review, examination of the anatomical structure, and literature survey, we concluded that the development of 3D human mandible model can be used to conduct research on human mandible.

Keywords

• 3D modeling of human mandible, rapid-prototyping, material modeling, reverse engineering

References

1. Wong RCW, Tideman T, Merkx MAW, Jansen J, Goh SM, and Liao K. Review of biomechanical models used in studying the biomechanics of reconstructed mandibles. International Association of Oral and Maxillofacial Surgeons, 2011; 40: 393 – 400.
2. Lohfeld S, Barron V, and Mchugh PE. Biomodels of Bone: A Review. Annals of Biomedical Engineering, 2005; 33(10): 1295 – 1311.
3. Wang CS, Wang WHA, and Lin MC. STL rapid prototyping bio-CAD model for CT medical image segmentation. Computer in Industry, 2010; 60: 187 – 197.
4. Sun W, Starly B, Nam J, and Darling A. Bio-CAD modeling and its applications in computer-aided tissue engineering. Computer-Aided Design, 2005; 37: 1097 – 1
5. Bezerro TP, Silva Jnior FI, Scarparo HC, Costa FWG, and Studart-Soares EC. Do erupted third molars weaken the mandibular angle after trauma to the chin region? A 3D finite element study. International Journal of Oral&Maxillofacial Surgery, 2012; 42(4): 474 – 480.
6. Vollmer D, Meyer U, Joos U, Vegh A, and Piffko J. Experimental and finite element study of a human mandible. Journal of Cranio-Maxillofacial Surgery, 2000; 28: 91 –
7. Liew CL, Leong KF, Chua CK, and Du Z. Dual material rapid prototyping techniques for the development of biomedical devices. Part 1: Space creation. The International Journal of Advanced Manufacturing Technology, 2001; 18: 717 – 7
8. Bagaria V, Deshpande S, and Rasalkar DD. Use of rapid prototyping and threedimensional reconstruction modeling in the management of complex fractures. European Journal of Radiology, 2011; 80: 814 – 820.

9. Ma D, Lin F, and Chua K. Rapid prototyping applications in medicine, Part 1: NURBS-based volume modeling. The International Journal of Advanced Manufacturing Technology, 2001; 18: 103 – 117.
10. Dobrzanski LA and Reimann L. Digitization procedure of creating 3D model of dental bridgework reconstruction. Journal of Achievements in Materials and Manufacturing Engineering, 2012; 55(2): 469 – 476.
11. Aquilina P, Chamoli U, Parr WCH, and Clausen PD. Finite element analysis of three patterns of internal fixation of fractures of the mandibular condyle. British Journal of Oral and Maxillofacial Surgery, 2012; 51(4): 326 – 331.
12. Kimura A, Nagasao T, Kaneko T, Miyamoto J, and Hakajima T. A comparative study of most suitable miniplate fixation for mandibular symphysis fracture using a finite element model. The Keio Journal of Medicine, 2006; 55: 1 – 8.