Name
Title | ||
|---|---|---|
Nonstationary shape estimation in electrical impedance tomography using a parametric level set-based extended Kalman filter approach |
Abstract | ||
|---|---|---|
This paper presents a parametric level set-based reconstruction method for nonstationary applications using electrical impedance tomography (EIT). Due to relatively low signal-to-noise ratios in EIT measurement systems and the diffusive nature of EIT, the reconstructed images often suffer from low spatial resolution. In addressing these challenges, we propose a computationally efficient shape-esti... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TIM.2019.2921441 | IEEE Transactions on Instrumentation and Measurement |
Keywords | DocType | Volume |
Tomography,Image reconstruction,Shape,Mathematical model,Conductivity,Level set,Numerical models | Journal | 69 |
Issue | ISSN | Citations |
5 | 0018-9456 | 1 |
PageRank | References | Authors |
0.48 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dong Liu | 1 | 4 | 0.86 |
| Danny Smyl | 2 | 2 | 2.19 |
| Jiangfeng Du | 3 | 11 | 6.45 |