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An automated osteotomy design for autologous bone grafts in craniofacial surgery

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In the treatment of craniofacial osseous defects it is frequently required that the surgeon has to graft bone to replace a missing or surgically removed segment. The reconstruction of this area poses a difficult challenge owing to the complexity of its bony structures as well as to its great importance for the chewing and speech ability. A common method of surgically reconstructing the craniofacial region involves using autologous grafts. By using the registration framework a novel surgery planning method has been developed. The method enables computer-aided selection of optimal donor sites for autologous bone grafts in the craniofacial surgery. The main advantage of the method is that after determination of the initial conditions and constraints it provides an automatic procedure to find the best fitting position. All generated solutions can be explored interactively on the computer display via an efficient graphical interface. Applying different similarity measures enables the surgeon to select the optimal donor site not only in terms of bone surface correlation but also according to the whole volumetric information contained in both data sets. This new approach permits more precise planning of the surgical procedure, reducing intraoperative time and improving the postoperative outcome.
Twórcy
autor
  • Surgical Simulation and Navigation Group, Caesar – center of advanced European studies and research, Friedensplatz 16, 53111 Bonn, Germany
autor
  • Surgical Simulation and Navigation Group, Caesar – center of advanced European studies and research, Friedensplatz 16, 53111 Bonn, Germany
autor
  • Department of Oral and Maxillofacial Surgery, Klinikum rechts der Isar, Munich University of Technology, Ismaningerstr. 22, 81675 Munich, Germany
  • Department of Oral and Maxillofacial Surgery, Klinikum rechts der Isar, Munich University of Technology, Ismaningerstr. 22, 81675 Munich, Germany
autor
  • Surgical Simulation and Navigation Group, Caesar – center of advanced European studies and research, Friedensplatz 16, 53111 Bonn, Germany
Bibliografia
  • [1] BORGEFORS G., Distance transformations in arbitrary dimensions, Computer Vision, Graphics and Image Processing, No. 27, pp. 321-345,1984.
  • [2] KRÓL Z., ZEILHOFER H.-F., SADER R., HOFFMANN K.-H., GERHARDT P., HORCH H.-H., Computer Assisted Selection of Donor Sites for Autologous Grafts, In: Eric A. Hoffman (Ed.), Proceedings of SPIE Vol. 3031, pp. 196-202,1997.
  • [3] MAES F., COLLIGNON A., VANDERMEULEN D., MARCHAL, G., SUETENS, P., Multimodality image registration by maximization of mutual information. IEEE Transactions on Medical Imaging, Vol. 16, No. 2, pp. 187-198,1997.
  • [4] The PHANToM™ Desktop System, SensAble Technologies, Inc., Woburn, MA 01801, http://www.sensable.com
  • [5] SATOH J., CHIYOKURA H., KOBAYASHI M., FUJINO T., Simulation of Surgical Operations Based on Solid Modeling, In: T. L. Kunii (ed.), Visual Computing - Integrating Computer Graphics with Computer Vision, pp. 907-916, Springer Verlag, Berlin, 1992.
  • [6] STUDHOLME C., HILL D.L.G., HAWKES D.J., An Overlap Invariant Entropy Measure of 3D Medical Image Alignment. Pattern Recognition, Vol. 33, No. 1, pp. 71-86, 1999.
  • [7] VAN LAARHOVEN P.J.M., AARTS E.H.J., Simulated Annealing: Theory and Applications, Series: Mathematics and its applications, D. Reidel Publishing Company, Dordrecht, 1987.
  • [8] VIOLA P., Alignment by maximization of mutual information. PhD thesis, MIT Department Electrical Engineering and Computer Science, Cambridge, Mass., 1995.
  • [9] ZEILHOFER H.-E, SADER R., KIRSTEN R., LENZ M., Computer Aided Individual Transplant Design for Reconstruction of the Mandible, In: H.U. Lemke, et al., Computer Assisted Radiology, pp. 1353-1358, Springer Verlag, Berlin 1995.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-63803ec1-906b-470b-a895-3e251f1b5a91
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