Title | ||
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Deep D-bar: Real time Electrical Impedance Tomography Imaging with Deep Neural Networks. |
Abstract | ||
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The mathematical problem for electrical impedance tomography (EIT) is a highly nonlinear ill-posed inverse problem requiring carefully designed reconstruction procedures to ensure reliable image generation. D-bar methods are based on a rigorous mathematical analysis and provide robust direct reconstructions by using a low-pass filtering of the associated nonlinear Fourier data. Similarly to low-pa... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/TMI.2018.2828303 | IEEE Transactions on Medical Imaging |
Keywords | DocType | Volume |
Tomography,Image reconstruction,Conductivity,Real-time systems,Impedance,Robustness,Current measurement | Journal | 37 |
Issue | ISSN | Citations |
10 | 0278-0062 | 5 |
PageRank | References | Authors |
0.53 | 0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
sarah jane hamilton | 1 | 8 | 1.32 |
Andreas Hauptmann | 2 | 18 | 3.62 |