Name
Title | ||
|---|---|---|
A Fidelity-embedded Regularization Method for Robust Electrical Impedance Tomography. |
Abstract | ||
|---|---|---|
Electrical impedance tomography (EIT) provides functional images of an electrical conductivity distribution inside the human body. Since the 1980s, many potential clinical applications have arisen using inexpensive portable EIT devices. EIT acquires multiple trans-impedance measurements across the body from an array of surface electrodes around a chosen imaging slice. The conductivity image recons... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TMI.2017.2762741 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Electrodes,Conductivity,Tomography,Image reconstruction,Voltage measurement,Jacobian matrices | Iterative reconstruction,Computer vision,Mathematical optimization,Jacobian matrix and determinant,Uncertain data,Robustness (computer science),Tomography,Regularization (mathematics),Inverse problem,Artificial intelligence,Mathematics,Electrical impedance tomography | Journal |
Volume | Issue | ISSN |
37 | 9 | 0278-0062 |
Citations | PageRank | References |
1 | 0.41 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kyounghun Lee | 1 | 4 | 1.33 |
| Eung Je Woo | 2 | 264 | 72.69 |
| Jin Keun Seo | 3 | 376 | 58.65 |