Name
Title | ||
|---|---|---|
A Parametric Level set Method for Imaging Multiphase Conductivity Using Electrical Impedance Tomography. |
Abstract | ||
|---|---|---|
Electrical impedance tomography (EIT) is an imaging modality that provides cross-sectional images of objects that carry contrasts in electrical conductivity. EIT is suitable for example for monitoring industrial processes involving multiple phases with different conductivities. This paper presents a parametric level set (PLS) based reconstruction scheme for an EIT-imaging of conductivity distribut... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCI.2018.2863038 | IEEE Transactions on Computational Imaging |
Keywords | Field | DocType |
Conductivity,Tomography,Impedance,Level set,Image reconstruction,Electrodes,Inverse problems | Iterative reconstruction,Computer vision,Level set method,Imaging phantom,Level set,Algorithm,Parametric statistics,Artificial intelligence,Inverse problem,Piecewise,Mathematics,Electrical impedance tomography | Journal |
Volume | Issue | ISSN |
4 | 4 | 2573-0436 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dong Liu | 1 | 0 | 0.68 |
| Yuxi Zhao | 2 | 0 | 0.34 |
| Anil Kumar Khambampati | 3 | 8 | 3.09 |
| Aku Seppänen | 4 | 30 | 6.06 |
| Jiangfeng Du | 5 | 11 | 6.45 |