Computational tools and algorithms for impedance imaging

电阻抗断层扫描（EIT）使用体表电极的测量来计算内部电特性的图像。这些图像为医学（即血液和空气流动）、地球物理学（即地下水和矿物定位）和工业过程监测提供了有用的信息。申请人是国际公认的EIT成像算法和功能图像分析专家。在过去的资助期间，贡献主要通过以下方式传播：a)领导算法和数据分析的共识项目；b)一个在该领域使用最广泛的开源软件工具；c)科学文献（53篇期刊论文）；d)指导21名研究生，4份pdf文件和60名本科生。研究团队开发的软件是三家公司产品的核心组成部分。

Electrical impedance tomography (EIT) uses measurements at body surface electrodes to calculate an image of the internal electrical properties. Such images provide useful information in medicine (i.e. blood and air flow), geophysics (i.e. ground water and mineral localization), and industrial process monitoring. The applicant is an internationally recognized expert in algorithms for EIT imaging and functional image analysis. In the past grant period, contributions have been disseminated by a) leading of consensus projects on algorithms and data analysis, b) an open-source software tool which has become the most widely used in the field, c) in the scientific literature (53 journal papers), and d) supervising 21 graduate students, 4 PDFs and 60 undergraduate students. Software developed by the research team is a core component of three companies' products.