基于CT图像提取人体组织边界建立的有限元模型

Edge extracting and finite-element-model building of human tissues based on CT image

为提高有限元方法应用于医学领域的准确度,有必要建立含有人体组织器官真实结构信息的有限元模型。文章提出了一种基于人体CT图像提取组织器官边界,并根据提取到的真实边界进一步建立二维有限元模型的方法。利用该方法最终可建立含有真实结构信息的人体有限元模型。经过对医院实际CT图像的测试,结果证实,该方法简单、快捷、适应性强,为基于医学图像的有限元分析奠定了良好基础。

To improve the accuracy of finite element method used in medicine field, it is necessary to build the finite element model including real structural information of tissues in human body. In this study, an edge extracting method was introduced on CT image of human body, and the method of building the two-dimensional finite element model from the extracted edges was then raised. Using the above methods, a finite element model of human body containing real structural information can be successfully made. The methods were used for many CT images of hospitals and tested to be simple, fast and adaptable. The study makes a good foundation for further finite element analysis based on medicine images.