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Patient-specific graft design method for cranofacial surgical planning

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Języki publikacji
EN
Abstrakty
EN
This paper presents a method for computer assisted selection of optimal donor sites for autologous osseous grafts in the craniofacial surgery. At the initial graft design stage the surgeon defines in the CT data set the shape of the bone segment to be reconstructed and in the donor region CT data set a set of constraints for the optimization task. This non-automatic step is followed by a fully automatic optimization stage, which delivers a set of sub-optimal and optimal donor sites for a given template. Such approach permits the surgeon to find the best site for harvesting the graft and enables an exact anatomical reconstruction of the osseous section.
Rocznik
Tom
Strony
MI189--197
Opis fizyczny
Bibliogr. 9 poz., rys., tab.
Twórcy
autor
  • Surgical Systems Laboratory, c a e s a r - center of advanced European studies and research, Bonn, Germany
autor
  • Faculty of Mathematics and Physics, Maria Sklodowska-Curie University, Lublin, Poland
autor
  • Laboratory, c a e s a r - center of advanced European studies and research, Bonn, Germany
  • Department of Oral and Maxillofacial Surgery, Klinikum rechts der Isar, Munich University of Technology, Germany
autor
  • Department of Oral and Maxillofacial Surgery, Klinikum rechts der Isar, Munich University of Technology, Germany
  • Faculty of Mathematics and Physics, Maria Sklodowska-Curie University, Lublin, Poland
autor
  • Laboratory, c a e s a r - center of advanced European studies and research, Bonn, Germany
Bibliografia
  • [1] Albee F.H., Bone-graft surgery, W.B. Saunders Co., Philadelphia and London, 1915.
  • [2] Król Z. et al., "Computer Aided Osteotomy Design for Harvesting Autologous Bone Grafts in Reconstructive Surgery," Proc. of SPIE Medical Imaging, Vol. 4319, pp. 244–251, 2001.
  • [3] Król Z., Computational Methods in the Registration and Visualization of Three-dimensional Multi-modality Medical Data. PhD thesis, Munich University of Technology, 1998.
  • [4] Van Herk M. et al., “Automatic three-dimensional correlation of CT-CT, CT-MRI, and CT-SPECT using chamfer matching”. Medical Physics, Vol. 21, No. 7, pp. 1163–1178, 1994.
  • [5] Maes F. et al., Multimodality image registration by maximization of mutual information, IEEE Trans. on Medical Imaging, vol. 16, no. 2, pp. 187–198, 1997.
  • [6] The PHANTOM TM Desktop System, SensAble Technologies, Inc., Woburn, MA 01801, USA, http: //www.sensable.com
  • [7] Van Laarhoven P.J.M. et al.: Simulated Annealing: Theory and Applications. Series: Mathematics and its applications. D. Reidel Publishing Company, Dordrecht, 1987.
  • [8] Press W.H. et al., Numerical Recipes in C: The Art of Scientific Computing, Second Edition, Cambridge University Press, Cambridge, 1992.
  • [9] Borgefors G.,“Distance transformations in arbitrary dimensions”, Computer Vision, Graphics and Image Processing, 27 (1984); pp. 321–345.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA4-0023-0026
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