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Advances in collision detection and non‐linear finite mixed element modelling for improved soft tissue simulation in craniomaxillofacial surgical planning
Author(s) -
Wang Shengzheng,
Yang Jie,
Gee James C.
Publication year - 2010
Publication title -
the international journal of medical robotics and computer assisted surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.556
H-Index - 53
eISSN - 1478-596X
pISSN - 1478-5951
DOI - 10.1002/rcs.286
Subject(s) - pointwise , computer science , finite element method , collision detection , distraction osteogenesis , collision , algorithm , soft tissue , distraction , simulation , mathematics , surgery , structural engineering , medicine , mathematical analysis , computer security , neuroscience , engineering , biology
Background There is a huge demand to develop a method for assisting surgeons in automatically predicting soft tissue deformation in terms of a bone‐remodelling plan. Methods This paper introduces several novel elements into a system for the simulation of postoperative facial appearances with respect to prespecified bone‐remodelling plans. First, a new algorithm for efficient detection of collisions, using the signed distance field, is described. Next, the penalty method is applied to determine the contact load of bone on facial soft tissue. Finally, a non‐linear finite mixed element model is developed to estimate the tissue deformation induced by the prescribed bone remodelling plan. Results The performance of the proposed collision detection algorithm has been improved in memory requirements and computational efficiency compared with conventional methods. In addition, the methodology is evaluated over both synthetic and real data, with simulation performance averaging <0.5 mm pointwise error over the facial surface in six mid‐face distraction osteotogenesis procedures. Conclusions The experimental results support the novel methodological advancements in collision detection and biomechanical modelling proposed in this work. Copyright © 2009 John Wiley & Sons, Ltd.