Part of the Advances in Computer Vision and Pattern Recognition book series (ACVPR)


This monograph is devoted to an in-depth exposition of the various issues that arise in virtual reconstructive craniofacial surgery and is written from a graph-theoretic and statistical perspective. We discuss some sophisticated techniques from computer vision, graph theory, and statistics and demonstrate how they can be employed to address the various challenging problems that arise in virtual reconstructive craniofacial surgery. The solutions presented here are quite general in their scope and applicability. Consequently, they can be easily applied to tackle similar problems that arise in related areas such as reconstructive orthopedic surgery and seemingly unrelated areas such as archeology, where ancient artifacts such as pottery need to be virtually reconstructed from unearthed broken pieces. This will be more evident in the discussion of the individual problems in the later chapters of the monograph. In this chapter, we first describe the anatomy of craniofacial fractures. Next, we discuss the state-of-the-art in the field of virtual reconstructive craniofacial surgery and highlight the importance of our contributions. We end this chapter by outlining the organization of this monograph.


Iterative Close Point Iterative Close Point Mandibular Fracture Craniofacial Surgery Craniofacial Skeleton 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    King RE, Scianna JM, Petruzzelli GJ (2004) Mandible fracture patterns: A suburban trauma center experience. Am J Otolaryngol 25(5):301–307 CrossRefGoogle Scholar
  2. 2.
    Ogundare BO, Bonnick A, Bayley N (2003) Pattern of mandibular fractures in an urban major trauma center. J Oral Maxillofac Surg 61(6):713–718 CrossRefGoogle Scholar
  3. 3.
    Zahl C, Muller D, Felder S, Gerlach KL (2003) Cost of miniplate osteosynthesis for treatment of mandibular fractures: a prospective evaluation. Gesundheitswesen 65(10):561–565 CrossRefGoogle Scholar
  4. 4.
    Pashley DH, Borke JL, Yu JC (2002) Biomechanics and craniofacial morphogenesis. In: Lin KY, Ogle RC, Jane JA (eds) Craniofacial surgery—science and surgical technique. Saunders, Philadelphia Google Scholar
  5. 5.
    Kurihara T (2001) The fourth dimension in simulation surgery for craniofacial surgical procedures. Keio J Med 50(2):155–165 Google Scholar
  6. 6.
    Nakajima H, Kaneko T, Kurihara T, Fujino T (2001) Craniofacial surgical simulation in the 3-dimensional CT SurgiPlan system. Keio J Med 50(2):95–102 Google Scholar
  7. 7.
    Siessegger M, Schneider BT, Mischkowski RA, Lazar F, Krug B, Klesper B, Zoller JE (2001) Use of an image-guided navigation system in dental implant surgery in anatomically complex operation sites. J Craniomaxillofac Surg 29(5):276–281 Google Scholar
  8. 8.
    Eldeeb H, Boubekri N, Asfour S, Khalil T, Finnieston A (2001) Design of thoracolumbosacral orthosis (TLSO) braces using CT/MR. J Comput Assist Tomogr 25(6):963–970 CrossRefGoogle Scholar
  9. 9.
    Bechtold JE, Powless SH (1993) The application of computer graphics in foot and ankle surgical planning and reconstruction. Clin Podiatr Med Surg 10:551–562 Google Scholar
  10. 10.
    Sutherland CJ, Bresina SJ, Gayou DE (1994) Use of general purpose mechanical computer assisted engineering software in orthopaedic surgical planning: advantages and limitations. Comput Med Imaging Graph 18:435–442 CrossRefGoogle Scholar
  11. 11.
    Chao EYS, Sim FH (1995) Computer-aided preoperative planning in knee osteotomy. Iowa Orthop J 15:4–18 Google Scholar
  12. 12.
    Byrd HS, Hobar PC (1993) Rhinoplasty: a practical guide for surgical planning. Plast Reconstr Surg 91:642–654 CrossRefGoogle Scholar
  13. 13.
    Ayoub AF, Wray D, Moos KF, Siebert P, Jin J, Nibbet TB, Urquhart C, Mowforth P (1996) Three-dimensional modeling for modern diagnosis and planning in maxillofacial surgery. Int J Adult Orthodon Orthognath Surg 11(3):225–233 Google Scholar
  14. 14.
    Gerbo LR, Poulton DR, Covell DA, Russell CA (1997) A comparison of a computer-based orthognathic surgery prediction system to postsurgical results. Int J Adult Orthodon Orthognath Surg 12(1):55–63 Google Scholar
  15. 15.
    Hassfeld S, Zoller J, Albert FK, Wirtz CR, Knauth M, Muhling J (1998) Preoperative planning and intraoperative navigation in skull base surgery. J Craniomaxillofac Surg 26(4):220–225 Google Scholar
  16. 16.
    Patel VV, Vannier MW, Marsh JL, Lo LJ (1996) Assessing craniofacial surgical simulation. IEEE Comput Graph Appl 16(1):46–54 CrossRefGoogle Scholar
  17. 17.
    Verstreken K, Van Cleynenbreugel J, Marchal G, Naert I, Suetens P, van Steenberghe D (1996) Computer-assisted planning of oral implant surgery: A three-dimensional approach. Int J Oral Maxillofac Implants 11(6):806–810 Google Scholar
  18. 18.
    Hilger KB, Larsen R, Wrobel MC (2003) Growth modeling of human mandibles using non-Euclidean metrics. Med Image Anal 7(4):425–433 CrossRefGoogle Scholar
  19. 19.
    Cevidanes LHS, Styner M, Phillips C, Oliveira AEF, Tulloch JFC (2007) 3D morphometric changes 1 year after jaw surgery. In: Proc fourth IEEE symp biomedical imaging (ISBI), pp 1332–1335 CrossRefGoogle Scholar
  20. 20.
    Enciso R, Memon A, Neumann U, Mah J (2003) The virtual cranio-facial patient project: 3D modelling and animation. In: Westwood JD, Hoffman HM, Mogel GT, Phillips R, Robb RA, Stredney D (eds) Proc eleventh medicine meets virtual reality conf, pp 65–72 Google Scholar
  21. 21.
    Mollemans W, Schutyser F, Nadjmi N, Suetens P (2005) Very fast soft tissue predictions with mass tensor model for maxillofacial surgery planning systems. In: Proc ninth annual conf intl soc for comput aided surg, pp 491–496 Google Scholar
  22. 22.
    Mandible Reconstruction Project, Imaging Technology Group, University of Illinois, Urbana-Champaign, IL. URL:
  23. 23.
    Virtual Reality Surgical Planning for Mandibular Reconstruction, National Biocomputation Center, Stanford University Medical Center, Palo Alto, CA. URL:
  24. 24.
    Ahmed MT, Eid AH, Farag AA (2001) 3D reconstruction of the human jaw: a new approach and improvements. In: Proc medical image computing and computer assisted intervention, pp 1007–1014 Google Scholar
  25. 25.
    Joskowicz L, Milgrom C, Simkin A, Tockus L, Yaniv Z (1998) FRACAS: a system for computer-aided image-guided long bone fracture surgery. Comput Aided Surg 3(6):271–288 CrossRefGoogle Scholar
  26. 26.
    Mack MJ (2001) Minimally invasive and robotic surgery. JAMA 285(5):568–572 CrossRefGoogle Scholar
  27. 27.
    Peters TM (2006) Image-guidance for surgical procedures. Phys Med Biol 51:R505–R540 CrossRefGoogle Scholar
  28. 28.
    Dimaio SP et al. (2006) Image-guided neurosurgery at Brigham and Women’s Hospital—the integration of imaging navigation and interventional devices. IEEE Eng Med Biol Mag 25(5):67–73 CrossRefGoogle Scholar
  29. 29.
    Vosburgh KJ, Jolesz FA (2003) The concept of image-guided therapy. Acad Radiol 10:176–179 CrossRefGoogle Scholar
  30. 30.
    Sholmovitz E, Amaral JG, Chait PG (2006) Image-guided therapy and minimally invasive surgery in children: a merging future. Pediatr Radiol 36:398–404 CrossRefGoogle Scholar

Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  • Ananda S. Chowdhury
    • 1
  • Suchendra M. Bhandarkar
    • 2
  1. 1.Department of Electronics & Telecommunication EngineeringJadavpur UniversityKolkataIndia
  2. 2.Department of Computer ScienceThe University of GeorgiaAthensUSA

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