Fuks L F, Cheney M, Isaacson D, Gisser D G, Newell J C
Department of Electrical Computer, Rensselaer Polytechnic Institute, Troy, NY 12180.
IEEE Trans Biomed Eng. 1991 Nov;38(11):1106-10. doi: 10.1109/10.99074.
This paper is concerned with low frequency electrical impedance imaging, which is the process of constructing images of the electrical impedance of a body's interior based upon measurements of voltage and current made at the body's surface. The electrical impedance accounts for both resistivity and permittivity. This paper shows how permittivity can be exploited to improve the performance of an electrical impedance imaging system. We show that explicit use of the independent information in the data due to the permittivity will ehance a system's ability to distinguish objects in the interior of a body. In addition, we report the results of experiments performed using the Rensselaer ACT 2 system on a saline bath containing various objects. These objects include both living tissue and metal conductors with oxide layers. We demonstrate the system's ability to distinguish these objects, and we exhibit gray scale images of both their resistivity and permittivity distributions.
本文关注的是低频电阻抗成像,这是一种基于在人体表面进行的电压和电流测量来构建人体内部电阻抗图像的过程。电阻抗同时考虑了电阻率和电容率。本文展示了如何利用电容率来提高电阻抗成像系统的性能。我们表明,由于电容率,在数据中明确使用独立信息将增强系统区分人体内部物体的能力。此外,我们报告了使用伦斯勒理工学院ACT 2系统在含有各种物体的盐浴上进行实验的结果。这些物体包括活组织和带有氧化层的金属导体。我们展示了该系统区分这些物体的能力,并展示了它们电阻率和电容率分布的灰度图像。