基于分割后断层成像数据的人体头部有限元模型构建方法

A Method for Automatic Generation of Finite Element Head Models Based on Segmented Computer Tomography Data

目的基于分割后的断层成像数据构建人体头部的有限元模型。方法采用四步剖分法得到初始网格并用最长边繁衍路径(longest edge propagation path)与棱边收缩(edge collapse)的方法进行网格的细分与优化。在通过该方法得到的三层球与真实头模型上分别进行脑电正问题的仿真计算。结果结果显示在此模型基础上进行有限元计算的合理性与可靠性。结论采用该方法生成的人体头部有限元模型可包含多层组织,并能应用于基于有限元方法的生物力学、生物电磁学领域的各种科学计算。

Objective To generate finite element models of human head based on segmented computer tomography data. Methods A four-step procedure was adopted to configure the coarse mesh. The method of longest edge propagation path and the edge collapse were used to refine and optimize the final mesh. The method was evaluated by means of computer simulations in a 3-concentric-sphere head model and a three-layer realistic geometry human head model. Results The present simulation results showed reliability and rationality of the finite element computation, thus indicate the suitability of the developed method. Conclusion A multi-tissue finite element model is obtained by using this method. It can be applied to the computation of finite element based bio-mechanics and bio-electromagnetism.