DOI QR코드

DOI QR Code

A method for mandibular dental arch superimposition using 3D cone beam CT and orthodontic 3D digital model

  • Park, Tae-Joon (Department of Orthodontics, Graduate School, Kyung Hee University School of Dentistry) ;
  • Lee, Sang-Hyun (Department of Orthodontics, Graduate School, Kyung Hee University School of Dentistry) ;
  • Lee, Ki-Soo (Department of Orthodontics, Graduate School, Kyung Hee University School of Dentistry)
  • Received : 2012.03.26
  • Accepted : 2012.06.07
  • Published : 2012.08.30

Abstract

Objective: The purpose of this study was to develop superimposition method on the lower arch using 3-dimensional (3D) cone beam computed tomography (CBCT) images and orthodontic 3D digital modeling. Methods: Integrated 3D CBCT images were acquired by substituting the dental portion of 3D CBCT images with precise dental images of an orthodontic 3D digital model. Images were acquired before and after treatment. For the superimposition, 2 superimposition methods were designed. Surface superimposition was based on the basal bone structure of the mandible by surface-to-surface matching (best-fit method). Plane superimposition was based on anatomical structures (mental and lingual foramen). For the evaluation, 10 landmarks including teeth and anatomic structures were assigned, and 30 times of superimpositions and measurements were performed to determine the more reproducible and reliable method. Results: All landmarks demonstrated that the surface superimposition method produced relatively more consistent coordinate values. The mean distances of measured landmarks values from the means were statistically significantly lower with the surface superimpositions method. Conclusions: Between the 2 superimposition methods designed for the evaluation of 3D changes in the lower arch, surface superimposition was the simpler, more reproducible, reliable method.

Keywords

References

  1. van der Linden FP. Changes in the position of posterior teeth in relation to ruga points. Am J Orthod 1978;74:142-61. https://doi.org/10.1016/0002-9416(78)90081-7
  2. Lebret L. Growth changes of the palate. J Dent Res 1962;41:1391-404. https://doi.org/10.1177/00220345620410061801
  3. Peavy DC Jr, Kendrick GS. The effects of tooth movement on the palatine rugae. J Prosthet Dent 1967;18:536-42. https://doi.org/10.1016/0022-3913(67)90219-3
  4. English WR, Robison SF, Summitt JB, Oesterle LJ, Brannon RB, Morlang WM. Individuality of human palatal rugae. J Forensic Sci 1988;33:718-26.
  5. Almeida MA, Phillips C, Kula K, Tulloch C. Stability of the palatal rugae as landmarks for analysis of dental casts. Angle Orthod 1995;65:43-8.
  6. Bailey LT, Esmailnejad A, Almeida MA. Stability of the palatal rugae as landmarks for analysis of dental casts in extraction and nonextraction cases. Angle Orthod 1996;66:73-8.
  7. Hoggan BR, Sadowsky C. The use of palatal rugae for the assessment of anteroposterior tooth movements. Am J Orthod Dentofacial Orthop 2001;119:482-8. https://doi.org/10.1067/mod.2001.113001
  8. Ashmore JL, Kurland BF, King GJ, Wheeler TT, Ghafari J, Ramsay DS. A 3-dimensional analysis of molar movement during headgear treatment. Am J Orthod Dentofacial Orthop 2002;121:18-29. https://doi.org/10.1067/mod.2002.120687
  9. Miller RJ, Kuo E, Choi W. Validation of Align Technology's Treat III digital model superimposition tool and its case application. Orthod Craniofac Res2003;6(Suppl 1):143-9.
  10. Ghafari J, Baumrind S, Efstratiadis SS. Misinterpreting growth and treatment outcome from serial cephalographs. Clin Orthod Res 1998;1:102-6.
  11. Cha BK, Lee JY, Jost-Brinkmann PG, Yoshida N. Analysis of tooth movement in extraction cases using three-dimensional reverse engineering technology. Eur J Orthod 2007;29:325-31. https://doi.org/10.1093/ejo/cjm019
  12. Commer P, Bourauel C, Maier K, Jäger A. Construction and testing of a computer-based intraoral laser scanner for determining tooth positions. Med Eng Phys 2000;22:625-35. https://doi.org/10.1016/S1350-4533(00)00076-X
  13. McDonagh S, Moss JP, Goodwin P, Lee RT. A prospective optical surface scanning and cephalometric assessment of the effect of functional appliances on the soft tissues. Eur J Orthod 2001;23:115-26. https://doi.org/10.1093/ejo/23.2.115
  14. Goaz PW, White SC. Oral radiology; Principles andinterpretation. 2nd ed. Toronto: Mosby; 1987. p. 189-90.
  15. Kasle MJ. An atlas of dental radiographic anatomy. 3rd ed. Toronto: Saunders; 1989.
  16. Andrews LF. Straight wire: The concept and appliance. San Diego: L.A. Wells; 1989 .
  17. Girod S, Keeve E, Girod B. Advances in interactive craniofacial surgery planning by 3D simulation and visualization. Int J Oral Maxillofac Surg 1995;24:120-5 https://doi.org/10.1016/S0901-5027(05)80872-0
  18. Chen LH, Chen WH. Three-dimensional computerassisted simulation combining facial skeleton with facial morphology for orthognathic surgery. Int J Adult Orthodon Orthognath Surg 1999;14:140-5.
  19. Motohashi N, Kuroda T. A 3D computer-aided design system applied to diagnosis and treatment planning in orthodontics and orthognathic surgery. Eur J Orthod 1999;21:263-74. https://doi.org/10.1093/ejo/21.3.263
  20. 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.
  21. Ferrario VF, Sforza C, Poggio CE, Serrao G. Facial three-dimensional morphometry. Am J Orthod Dentofacial Orthop 1996;109:86-93. https://doi.org/10.1016/S0889-5406(96)70167-1
  22. Gateno J, Xia J, Teichgraeber JF, Rosen A. A new technique for the creation of a computerized composite skull model. J Oral Maxillofac Surg 2003;61:222-7. https://doi.org/10.1053/joms.2003.50033
  23. Svendsen P, Quiding L, Landahl I. Blackout and other artefacts in computed tomography caused by fillings in teeth. Neuroradiology 1980;19:229-34.
  24. Swennen GR, Barth EL, Eulzer C, Schutyser F. The use of a new 3D splint and double CT scan procedure to obtain an accurate anatomic virtual augmented model of the skull. Int J Oral Maxillofac Surg 2007;36:146-52. https://doi.org/10.1016/j.ijom.2006.09.019
  25. Nkenke E, Zachow S, Benz M, Maier T, Veit K, Kramer M, et al. Fusion of computed tomography data and optical 3D images of the dentition for streak artefact correction in the simulation of orthognathic surgery. Dentomaxillofac Radiol 2004;33:226-32. https://doi.org/10.1259/dmfr/27071199
  26. Nishii Y, Nojima K, Takane Y, Isshiki Y. Integration of the maxillofacial three-dimensional CT image and the three-dimensional dental surface image. Orthod Waves 1998;57:189-94.
  27. Subsol G, Thirion JP, Ayache N. A scheme for automatically building three-dimensional morphometric anatomical atlases: application to a skull atlas. Med Image Anal 1998;2:37-60. https://doi.org/10.1016/S1361-8415(01)80027-X
  28. McDonnell D, Reza Nouri M, Todd ME. The mandibular lingual foramen: a consistent arterial foramen in the middle of the mandible. J Anat 1994;184:363-9.
  29. Cevidanes LH, Bailey LJ, Tucker GR Jr, Styner MA, Mol A, Phillips CL, et al. Superimposition of 3D conebeam CT models of orthognathic surgery patients. Dentomaxillofac Radiol 2005;34:369-75. https://doi.org/10.1259/dmfr/17102411
  30. Kawamata A, Fujishita M, Nagahara K, Kanematu N, Niwa K, Langlais RP. Three-dimensional computed tomography evaluation of postsurgical condylar displacement after mandibular osteotomy. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 1998;85:371-6. https://doi.org/10.1016/S1079-2104(98)90059-2

Cited by

  1. Post-treatment changes in permanent retention vol.77, pp.6, 2016, https://doi.org/10.1007/s00056-016-0054-0
  2. 핸드스캐닝 작업 방법에 따라 표준 모델 변형이 작업 정밀도에 미치는 정밀스캔에 관한 연구 vol.19, pp.4, 2012, https://doi.org/10.5762/kais.2018.19.4.197
  3. Three‐dimensional prediction of roots position through cone‐beam computed tomography scans‐digital model superimposition: A novel method vol.22, pp.1, 2019, https://doi.org/10.1111/ocr.12252
  4. Virtual setup in orthodontics: planning and evaluation vol.24, pp.7, 2012, https://doi.org/10.1007/s00784-019-03097-3
  5. How to Obtain an Orthodontic Virtual Patient through Superimposition of Three-Dimensional Data: A Systematic Review vol.10, pp.15, 2012, https://doi.org/10.3390/app10155354
  6. Three-dimensional mandibular dental changes with aging vol.159, pp.2, 2021, https://doi.org/10.1016/j.ajodo.2019.12.021