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用于计算机辅助颌面外科手术的面部软组织患者特异性有限元模型。

Patient specific finite element model of the face soft tissues for computer-assisted maxillofacial surgery.

作者信息

Chabanas Matthieu, Luboz Vincent, Payan Yohan

机构信息

TIMC-IMAG Laboratory, UMR CNRS 5525, Institut Albert Bonniot, University of Grenoble, 38706 La Tronche Cedex, France.

出版信息

Med Image Anal. 2003 Jun;7(2):131-51. doi: 10.1016/s1361-8415(02)00108-1.

DOI:10.1016/s1361-8415(02)00108-1
PMID:12868618
Abstract

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.

摘要

本文探讨了颌面外科中骨重新定位导致的面部软组织变形预测问题。开发了一个通用的面部软组织三维有限元模型。面部肌肉在网格中被定义为嵌入式结构,具有不同的力学性能(横向各向同性,刚度取决于肌肉收缩)。因此,可以进行肌肉作用下面部变形的模拟。在颌面外科手术中,通过弹性配准,利用从CT扫描中分割出的皮肤和颅骨表面,使这个通用的软组织模型自动符合患者形态。在配准过程中,患者网格的一些元素可能会发生几何变形,这会使有限元分析失效。因此,不规则元素会被检测出来并自动进行正则化处理。这种半自动的患者模型生成方法稳健、快速且易于使用。所以它似乎与临床应用兼容。成功构建了六个患者模型,并在两个患者模型上进行了骨位移导致的软组织变形模拟。五位外科医生对模型与患者形态的匹配度以及术后情况的模拟进行了定性验证。他们的结论是,模型与患者形态相符,并且预测的软组织变化与他们的预期一致。

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