한국CDE학회논문집 (Korean Journal of Computational Design and Engineering)

  • 제17권4호
  • /
  • Pages.253-261
  • /
  • 2012
  • /
  • 2508-4003(pISSN)
  • /
  • 2508-402X(eISSN)
한국CDE학회 (Society for Computational Design and Engineering)
권호 표지
DOI QR코드

DOI QR Code

3차원 기하 처리와 유한요소 분석을 이용한 치아 임플란트 식립 계획 수립

Planning of Dental Implant Placement Using 3D Geometric Processing and Finite Element Analysis

  • 박형욱 (한국과학기술정보연구원(KISTI)) ;
  • 박철우 (한국과학기술정보연구원(KISTI)) ;
  • 김명수 (조선대학교 치과대학) ;
  • 박형준 (조선대학교 산업공학과)
  • 투고 : 2012.04.10
  • 심사 : 2012.06.05
  • 발행 : 2012.08.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

In order to make dental implant surgery successful, it is important to perform proper planning for dental implant placement. In this paper, we propose a decent approach to dental implant placement planning based on geometric processing of 3D models of jawbones, a nerve curve and neighboring teeth around a missing tooth. Basically, the minimum enclosing cylinders of the neighboring teeth around the missing tooth are properly used to determine the position and direction of the implant placement. The position is computed according to the radii of the cylinders and the center points of their top faces. The direction is computed by the weighted average of the axes of the cylinders. For a cylinder whose axis passes the position along the direction, its largest radius and longest length are estimated such that it does not interfere with the neighboring teeth and the nerve curve, and they are used to select the size and type of an implant fixture. From the geometric and spatial information of the jawbones, the teeth and the fixture, we can construct the 3D model of a surgical guide stent which is crucial to perform the drilling operation with ease and accuracy. We have shown the validity of the proposed approach by performing the finite element analysis of the influence of implant placement on bone stress distribution. Adopted in 3D simulation of dental implant placement, the approach can be used to provide dental students with good educational contents. It is also expected that, with further work, the approach can be used as a useful tool to plan for dental implant surgery.

키워드

참고문헌

  1. Chuang, S.K., Wei, L.J., Douglass, C.W. and Dodson, T.B., 2002, Risk Factors for Dental Implant Failure: A Strategy for the Analysis of Clustered Failure-time Observations, Journal of Dental Research, 81(8), pp. 572-577. https://doi.org/10.1177/154405910208100814
  2. Jeong, S.M., Chung, C.H. and Engelke, W., 2000, Anatomical Site Classification for Implant Insertion: ASCII, Journal of Korean Academy of Prosthodontics, 38(3), pp. 321-327.
  3. Xia, X., Samman, N., Yeung, R.W.K., Wang, D., Shen, S.G.F., Ip, H.H. and Tideman, S.H., 2000, Computer-assisted Three-dimensional Surgical Planning and Simulation: 3D Soft Tissue Planning and Prediction, International Journal of Oral and Maxillofacial Surgery, 29(4), pp. 250-258. https://doi.org/10.1016/S0901-5027(00)80023-5
  4. "Digital Korean, KISTI", http://digitalman.kisti.re.kr
  5. Shum, H.Y., Ikeuchi, K. and Reddy, R., 1995, Principal Component Analysis with Missing Data and Its Application to Polyhedral Object Modeling, IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(9), pp. 854-867. https://doi.org/10.1109/34.406651
  6. "CGAL", http://www.cgal.org
  7. Oh, T.J., Shotwell, J.L., Billy, E.J. and Wang, H.L., 2006, Effect of Flapless Implant Surgery on Soft Tissue Profile: A Randomized Controlled Clinical Trial, Journal of Periodontology, 77(5), pp. 874-882. https://doi.org/10.1902/jop.2006.050169
  8. Quek, H.C., Tan, K.B. and Nicholls, J.I., 2008, Load Fatigue Performance of Four Implant-abutment Interface Designs: Effect of Torque Level and Implant System, International Journal of Oral and Maxillofacial Implants, 23(2), pp. 253-62.
  9. Tada, S., Stegaroiu, R., Kitamura, E., Miyakawa, O. and Kusakari, H., 2003, "Influence of Implant Design and Bone Quality on Stress/Strain Distribution in Bone Around Implants: A 3-dimensional Finite Element Analysis, International Journal of Oral and Maxillofacial Implants, 18(3), pp. 357-368.
  10. Kao, H.C., Gung, Y.W., Chung, T.F. and Hsu, M.L., 2008, The Influence of Abutment Angulation on Micromotion Level for Immediately Loaded Dental Implants: A 3-D Finite Element Analysis, International Journal of Oral and Maxillofacial Implants, 28(4), pp. 623-630.
  11. "Mimics", http://www.materialise.com/mimics
  12. "Catia V5R18", http://www.3ds.com/products/catia
  13. "Ansys 13.0", http://www.ansys.com/Products
  14. "Basic Information on $Straumann^{\circleR}$ Guided Surgery", http://www.schlamberger.pl/wp-content/uploads/2011/03
  15. Tardieu, P.B., Vrielinck, L., Escolano, E., Henne, M. and Tardieu, A.L., 2007, Computer-Assisted Implant Placement: Scan Template, SimPlant, SurgiGuide, and SAFE System, International Journal of Periodontics and Restorative Dentistry, 27(2), pp. 141-149.
  16. Nikzad, S. and Azari, A., 2008, A Novel Stereolithographic Surgical Guide Template for Planning Treatment Involving a Mandibular Dental Implant, Journal of Oral and Maxillofacial Surgery, 66(7), pp. 1446-1454. https://doi.org/10.1016/j.joms.2008.03.004
  17. Park, H.W., Kim, M.S. and Park, H., 2011, 3D Simulation of Dental Implant Surgery Using Surgical Guide Stents, Transactions of the Society of CAD/CAM Engineers, 16(3), pp. 216-226. (in Korean)

피인용 문헌

  1. Finite Element Modeling of the Rat Cervical Spine and Adjacent Tissues from MRI Data vol.17, pp.6, 2012, https://doi.org/10.7315/CADCAM.2012.436