Computational tools and algorithms for impedance imaging

阻抗成像的计算工具和算法

• 批准号: RGPIN-2017-06249
• 负责人: Adler, Andy
• 金额: $ 2.7万
• 依托单位: Carleton University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=636984
• 关键词: Computational; tools; algorithms; impedance; imaging

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.

电阻抗断层扫描（EIT）使用体表电极的测量值来计算内部电特性的图像。这些图像在医学（即血液和空气流动）、生物物理学（即地下水和矿物定位）和工业过程监控中提供有用的信息。申请人是国际公认的EIT成像和功能图像分析算法专家。在过去的赠款期内，通过以下方式传播了捐款：a）领导关于算法和数据分析的共识项目，B）已成为该领域最广泛使用的开源软件工具，c）科学文献（53篇期刊论文），以及d）指导21名研究生，4名PDF和60名本科生。该研究团队开发的软件是三家公司产品的核心组成部分。