Le Hyaric A, Pidcock M K
School of Computing and Mathematical Sciences, Oxford Brookes University, Heading, UK.
IEEE Trans Biomed Eng. 2001 Feb;48(2):230-5. doi: 10.1109/10.909644.
Electrical impedance tomography (EIT) has been studied by many authors and in most of this work it has been considered to be a two-dimensional problem. Many groups are now turning their attention to the full three-dimensional case in which the computational demands become much greater. It is interesting to look for ways to reduce this demand and in this paper we describe an implementation of an algorithm that is able to achieve this by precomputing many of the quantities needed in the image reconstruction. The algorithm is based on a method called NOSER introduced some years ago by Cheney et al. [3]. In this paper we have significantly extended the method by introducing a more realistic electrode model into the analysis. We have given explicit formulae for the quantities involved so that the reader can reproduce our results.
许多作者都对电阻抗断层成像（EIT）进行了研究，并且在大多数此类研究中，它都被视为一个二维问题。现在，许多研究团队都将注意力转向了完整的三维情况，而这种情况下的计算需求要大得多。寻找降低这种需求的方法很有意思，在本文中，我们描述了一种算法的实现，该算法能够通过预先计算图像重建所需的许多量来实现这一点。该算法基于Cheney等人[3]几年前提出的一种名为NOSER的方法。在本文中，我们通过在分析中引入更符合实际的电极模型，对该方法进行了显著扩展。我们给出了所涉及量的明确公式，以便读者能够重现我们的结果。
