Suppr超能文献

低频下电导率和电容率的检测与成像

Detection and imaging of electric conductivity and permittivity at low frequency.

作者信息

Fuks L F, Cheney M, Isaacson D, Gisser D G, Newell J C

机构信息

Department of Electrical Computer, Rensselaer Polytechnic Institute, Troy, NY 12180.

出版信息

IEEE Trans Biomed Eng. 1991 Nov;38(11):1106-10. doi: 10.1109/10.99074.

Abstract

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.

摘要

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。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验