{"title":"Frequency-difference imaging for multi-frequency complex-valued ECT","authors":"Haokun Wang, Maomao Zhang, Yunjie Yang","doi":"10.1109/IST48021.2019.9010531","DOIUrl":null,"url":null,"abstract":"Complex-valued Electrical Capacitance Tomography (CVECT) system with multi-frequency excitation scheme has been implemented in recent studies for imaging both conductivity and permittivity components, where time-difference (TD) imaging method was employed. This paper explores the feasibility of performing frequency-difference (FD) imaging of CVECT using Multiple Measurement Vector (MMV) model. Experiments based on simulation data were performed to evaluate the proposed framework. Comparison with conventional Tikhonov regularization algorithm was presented. The results confirm that it is feasible to perform FD imaging with multifrequency CVECT system, and MMV outperforms conventional image reconstruction algorithms in terms of image quality and efficiency.","PeriodicalId":117219,"journal":{"name":"2019 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Imaging Systems and Techniques (IST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IST48021.2019.9010531","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Complex-valued Electrical Capacitance Tomography (CVECT) system with multi-frequency excitation scheme has been implemented in recent studies for imaging both conductivity and permittivity components, where time-difference (TD) imaging method was employed. This paper explores the feasibility of performing frequency-difference (FD) imaging of CVECT using Multiple Measurement Vector (MMV) model. Experiments based on simulation data were performed to evaluate the proposed framework. Comparison with conventional Tikhonov regularization algorithm was presented. The results confirm that it is feasible to perform FD imaging with multifrequency CVECT system, and MMV outperforms conventional image reconstruction algorithms in terms of image quality and efficiency.