Bayford R H, Gibson A, Tizzard A, Tidswell T, Holder D S
Middlesex University, London, UK.
Physiol Meas. 2001 Feb;22(1):55-64. doi: 10.1088/0967-3334/22/1/308.
If electrical impedance tomography is to be used as a clinical tool, the image reconstruction algorithms must yield accurate images of impedance changes. One of the keys to producing an accurate reconstructed image is the inclusion of prior information regarding the physical geometry of the object. To achieve this, many researchers have created tools for solving the forward problem by means of finite element methods (FEMs). These tools are limited, allowing only a set number of meshes to be produced from the geometric information of the object. There is a clear need for geometrical accurate FEM models to improve the quality of the reconstructed images. We present a commercial tool called IDEAS, which can be used to create FEM meshes for these models. The application of this tool is demonstrated by using segmented data from the human head to model impedance changes inside the head.
如果要将电阻抗断层成像用作临床工具，图像重建算法必须生成阻抗变化的准确图像。生成准确重建图像的关键之一是纳入有关物体物理几何形状的先验信息。为实现这一点，许多研究人员通过有限元方法（FEM）创建了解决正向问题的工具。这些工具存在局限性，仅允许根据物体的几何信息生成固定数量的网格。显然需要几何精确的有限元模型来提高重建图像的质量。我们展示了一种名为IDEAS的商业工具，它可用于为这些模型创建有限元网格。通过使用来自人类头部的分割数据对头内阻抗变化进行建模，演示了该工具的应用。
