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Proceedings Paper

Adaptive nonlinear elastic FEM for realistic prediction of soft tissue in craniofacial surgery simulations
Author(s): Evgeny Gladilin; Stefan Zachow; Peter Deuflhard; Hans-Christian Hege
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Paper Abstract

In craniofacial surgery simulations, the realistic prediction of a patient's postoperative appearance is of utmost importance. Due to the complexity of biomechanical behavior of soft tissue simplified models such as widespread linear elastic models are usually applied. However, large deformations often occurring in craniofacial surgery can't be accurately modeled via linear elastic approach, since it is generally limited by the assumption of small deformations. In this paper, we present an adaptive nonlinear elastic approach based on the finite element discretization of 3D patient's model, which is free of linearization limitations and yields more realistic results in simulations of large facial tissue deformation.

Paper Details

Date Published: 17 May 2002
PDF: 8 pages
Proc. SPIE 4681, Medical Imaging 2002: Visualization, Image-Guided Procedures, and Display, (17 May 2002); doi: 10.1117/12.466906
Show Author Affiliations
Evgeny Gladilin, Konrad-Zuse-Zentrum fuer Informationstechnik Berlin (Germany)
Stefan Zachow, Konrad-Zuse-Zentrum fuer Informationstechnik Berlin (Germany)
Peter Deuflhard, Konrad-Zuse-Zentrum fuer Informationstechnik Berlin and Free Univ. of Berlin (Germany)
Hans-Christian Hege, Konrad-Zuse-Zentrum fuer Informationstechnik Berlin (Germany)

Published in SPIE Proceedings Vol. 4681:
Medical Imaging 2002: Visualization, Image-Guided Procedures, and Display
Seong Ki Mun, Editor(s)

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