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Development of 3D statistical mandible models for cephalometric measurements

  • Kim, Sung-Goo (Department of Oral and Maxillofacial Radiology, School of Dentistry, Seoul National University) ;
  • Yi, Won-Jin (Department of Oral and Maxillofacial Radiology, BK21, and Dental Research Institute, School of Dentistry, Seoul National University) ;
  • Hwang, Soon-Jung (Department of Oral and Maxillofacial Surgery, BK21, and Dental Research Institute, School of Dentistry, Seoul National University) ;
  • Choi, Soon-Chul (Department of Oral and Maxillofacial Radiology, BK21, and Dental Research Institute, School of Dentistry, Seoul National University) ;
  • Lee, Sam-Sun (Department of Oral and Maxillofacial Radiology, BK21, and Dental Research Institute, School of Dentistry, Seoul National University) ;
  • Heo, Min-Suk (Department of Oral and Maxillofacial Radiology, BK21, and Dental Research Institute, School of Dentistry, Seoul National University) ;
  • Huh, Kyung-Hoe (Department of Oral and Maxillofacial Radiology, BK21, and Dental Research Institute, School of Dentistry, Seoul National University) ;
  • Kim, Tae-Il (Department of Periodontology, BK21, and Dental Research Institute, School of Dentistry, Seoul National University) ;
  • Hong, Helen (Division of Multimedia Engineering, Seoul Women's University) ;
  • Yoo, Ji-Hyun (Division of Multimedia Engineering, Seoul Women's University)
  • Received : 2012.05.23
  • Accepted : 2012.06.23
  • Published : 2012.09.30

Abstract

Purpose: The aim of this study was to provide sex-matched three-dimensional (3D) statistical shape models of the mandible, which would provide cephalometric parameters for 3D treatment planning and cephalometric measurements in orthognathic surgery. Materials and Methods: The subjects used to create the 3D shape models of the mandible included 23 males and 23 females. The mandibles were segmented semi-automatically from 3D facial CT images. Each individual mandible shape was reconstructed as a 3D surface model, which was parameterized to establish correspondence between different individual surfaces. The principal component analysis (PCA) applied to all mandible shapes produced a mean model and characteristic models of variation. The cephalometric parameters were measured directly from the mean models to evaluate the 3D shape models. The means of the measured parameters were compared with those from other conventional studies. The male and female 3D statistical mean models were developed from 23 individual mandibles, respectively. Results: The male and female characteristic shapes of variation produced by PCA showed a large variability included in the individual mandibles. The cephalometric measurements from the developed models were very close to those from some conventional studies. Conclusion: We described the construction of 3D mandibular shape models and presented the application of the 3D mandibular template in cephalometric measurements. Optimal reference models determined from variations produced by PCA could be used for craniofacial patients with various types of skeletal shape.

Keywords

References

  1. Franca C, Levin-Plotnik D, Sehgal V, Chen GT, Ramsey RG. Use of three-dimensional spiral computed tomography imaging for staging and surgical planning of head and neck cancer. J Digit Imaging 2000; 13 : 24-32. https://doi.org/10.1007/BF03167619
  2. Elolf E, Tatagiba M, Samii M. Three-dimensional computed tomographic reconstruction: planning tool for surgery of skull base pathologies. Comput Aided Surg 1998; 3 : 89-94. https://doi.org/10.3109/10929089809148134
  3. Troulis MJ, Everett P, Seldin EB, Kikinis R, Kaban LB. Development of a three-dimensional treatment planning system based on computer tomographic data. Int J Oral Maxillofac Surg 2002; 31 : 349-57. https://doi.org/10.1054/ijom.2002.0278
  4. Kragskov J, Sindet-Pedersen S, Gyldensted C, Jensen KL. A comparison of three-dimensional computed tomography scans and stereolithographic models for evaluation of craniofacial anomalies. J Oral Maxillofac Surg 1996; 54 : 402-12. https://doi.org/10.1016/S0278-2391(96)90109-3
  5. Cheng AC, Wee AG. Reconstruction of cranial bone defects using alloplastic implants produced from a stereolithographically- generated cranial model. Ann Acad Med Singapore 1999; 28 : 692-6.
  6. Kermer C, Lindner A, Friede I, Wagner A, Millesi W. Preoperative stereolithographic model planning for primary reconstruction in craniomaxillofacial trauma surgery. J Craniomaxillofac Surg 1998; 26 : 136-9. https://doi.org/10.1016/S1010-5182(98)80002-4
  7. Zachow S, Lamecker H, Elsholtz B, Stiller M. Reconstruction of mandibular dysplasia using a statistical 3D shape model. Int Congr Ser 2005; 1281 : 1238-43.
  8. Gateno J, Xia JJ, Teichgraeber JF, Christensen AM, Lemoine JJ, Liebschner MA, et al. Clinical feasibility of computer-aided surgical simulation (CASS) in the treatment of complex craniomaxillofacial deformities. J Oral Maxillofac Surg 2007; 65 : 728-34. https://doi.org/10.1016/j.joms.2006.04.001
  9. D'Urso PS, Barker TM, Earwaker WJ, Bruce LJ, Atkinson RL, Lanigan MW, et al. Stereolithographic biomodelling in craniomaxillofacial surgery: a prospective trial. J Craniomaxillofac Surg 1999; 27 : 30-7. https://doi.org/10.1016/S1010-5182(99)80007-9
  10. Mavili ME, Canter HI, Saglam-Aydinatay B, Kamaci S, Kocadereli I. Use of three-dimensional medical modeling methods for precise planning of orthognathic surgery. J Craniofac Surg 2007; 18 : 740-7. https://doi.org/10.1097/scs.0b013e318069014f
  11. Hwang HS, Hwang CH, Lee KH, Kang BC. Maxillofacial 3- dimensional image analysis for the diagnosis of facial asymmetry. Am J Orthod Dentofacial Orthop 2006; 130 : 779-85. https://doi.org/10.1016/j.ajodo.2005.02.021
  12. Xia J, Ip HH, Samman N, Wang D, Kot CS, Yeung RW, et al. Computer-assisted three-dimensional surgical planning and simulation: 3D virtual osteotomy. Int J Oral Maxillofac Surg 2000; 29 : 11-7. https://doi.org/10.1016/S0901-5027(00)80116-2
  13. Xia J, Samman N, Yeung RW, Shen SG, Wang D, Ip HH, et al. Three-dimensional virtual reality surgical planning and simulation workbench for orthognathic surgery. Int J Adult Orthodon Orthognath Surg 2000; 15 : 265-82.
  14. Cevidanes LH, Bailey LJ, Tucker GR Jr, Styner MA, Mol A, Phillips CL, et al. Superimposition of 3D cone-beam CT models of orthognathic surgery patients. Dentomaxillofac Radiol 2005; 34: 369-75. https://doi.org/10.1259/dmfr/17102411
  15. Katsumata A, Fujishita M, Maeda M, Ariji Y, Ariji E, Langlais RP. 3D-CT evaluation of facial asymmetry. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 2005; 99 : 212-20. https://doi.org/10.1016/j.tripleo.2004.06.072
  16. Lamecker H, Zachow S, Wittmers A, Weber B, Hege HC, Elsholtz B, et al. Automatic segmentation of mandibles in lowdose CT data. Int J Comput Assist Radiol Surg 2006; 1 (suppl 1) : 393-5.
  17. Ahn JS, Lee KH, Hwang HS. A study on the 3-D standard value of mandible for the diagnosis of facial asymmetry. Korean J Orthod 2005; 35 : 91-105.
  18. Park SH, Yu HS, Kim KD, Baik HS. A proposal for a new analysis of craniofacial morphology by 3-dimensional computed tomography. Am J Orthod Dentofacial Orthop 2006; 129 :600.e23-34.
  19. Kim KH, Choy KC, Kim HG, Park KH. Cephalometric norms of the hard tissues of Korean for orthognatic surgery. J Korean Assoc Oral Maxillofac Surg 2001; 27 : 221-30.
  20. Brief J, Hassfeld S, Dauber S, Pernozzoli A, Munchenberg J, Redlich T, et al. 3D norm data: the first step towards semiautomatic virtual craniofacial surgery. Comput Aided Surg 2000; 5 : 353-8. https://doi.org/10.3109/10929080009149853
  21. Eufinger H, Wehmoller M, Machtens E, Heuser L, Harders A, Kruse D. Reconstruction of craniofacial bone defects with individual alloplastic implants based on CAD/CAM-manipulated CT-data. J Craniomaxillofac Surg 1995; 23 : 175-81. https://doi.org/10.1016/S1010-5182(05)80007-1
  22. Brooks SL. Computed tomography. Dent Clin North Am 1993; 37 : 575-90.
  23. Cavalcanti MG, Haller JW, Vannier MW. Three-dimensional computed tomography landmark measurement in craniofacial surgical planning: experimental validation in vitro. J Oral Maxillofac Surg 1999; 57 : 690-4. https://doi.org/10.1016/S0278-2391(99)90434-2

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