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Published in:
2012 | OriginalPaper | Chapter
A Robust Physics-Based 3D Soft Tissue Parameters Estimation Method for Warping Dynamics Simulation
Authors : Xiangyun Liao, Zhiyong Yuan, Zhaoliang Duan, Weixin Si, Si Chen, Sijiao Yu, Jianhui Zhao
Published in: AsiaSim 2012
Publisher: Springer Berlin Heidelberg
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Soft tissue warping is one of the key technologies in dynamic simulation of many surgical procedures. To achieve high performance simulation of 3D soft tissue warping, the research of physical parameters estimation of the warping model is of great significance. Through the construction of parameters estimation platform which consists of an optical tracking system PPT2 (Precision Position Tracker with 2 Cameras) and pressure acquisition devices, we obtain the nodal displacements of tetrahedron finite element model and external forces on it. Then we calculate the parameters of 3D soft tissue by using reverse engineering method and verify the parameters by comparing the calculated nodal displacements and the measured nodal displacements of the soft tissue. The experimental results show that the Physics-based 3D soft tissue parameters estimation method we proposed have achieve accurate agreement of calculated nodal displacements and the measured nodal displacements and it has the properties of accuracy and robust;