Patient specific finite element model of the face soft tissues for computer-assisted maxillofacial surgery
Patient specific finite element model of the face soft tissues for computer-assisted maxillofacial surgery
复制标题
DOI：
10.1016/s1361-8415(02)00108-1
复制
发表时间：
2003-06-01
影响因子：
10.9
通讯作者：
Payan, Y
中科院分区：
文献类型：
--
作者：
Chabanas, M;Luboz, V;Payan, Y
本文研究了颌面外科手术中骨复位引起的面部软组织变形的预测。建立了面部软组织的通用三维有限元模型。面部肌肉在网格中被定义为嵌入结构，具有不同的机械特性（横向各向同性，刚度取决于肌肉收缩）。因此，可以执行在肌肉动作下的面部变形的模拟。在颌面外科手术的背景下，这种通用的软组织模型自动符合患者的形态通过弹性配准，使用从CT扫描分割的皮肤和颅骨表面。在配准过程中，患者网格的某些元素可能发生几何失真，这将禁用有限元分析。不规则元素因此被检测并自动正则化。这种半自动患者模型生成功能强大、快速且易于使用。因此，它似乎与临床使用兼容。成功构建了6个患者模型，并在2个患者模型上模拟了骨位移导致的软组织变形。由5名外科医生定性验证了模型对患者形态的适应性和术后方面的模拟。他们的结论是，这些模型符合患者的形态，并且预测的软组织修改与他们的预期一致。(C)2003 Elsevier Science B.V.保留所有权利。
This paper addresses the prediction of face soft tissue deformations resulting from bone repositioning in maxillofacial surgery. A generic 3D Finite Element model of the face soft tissues was developed. Face muscles are defined in the mesh as embedded structures, with different mechanical properties (transverse isotropy, stiffness depending on muscle contraction). Simulations of face deformations under muscle actions can thus be performed. In the context of maxillofacial surgery, this generic soft-tissue model is automatically conformed to patient morphology by elastic registration, using skin and skull surfaces segmented from a CT scan. Some elements of the patient mesh could be geometrically distorted during the registration, which disables Finite Element analysis. Irregular elements are thus detected and automatically regularized. This semi-automatic patient model generation is robust, fast and easy to use. Therefore it seems compatible with clinical use. Six patient models were successfully built, and simulations of soft tissue deformations resulting from bone displacements performed on two patient models. Both the adequation of the models to the patient morphologies and the simulations of post-operative aspects were qualitatively validated by five surgeons. Their conclusions are that the models fit the morphologies of the patients, and that the predicted soft tissue modifications are coherent with what they would expect. (C) 2003 Elsevier Science B.V. All rights reserved.