Abstract | ||
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This paper presents an image reconstruction method based on parametric level set (PLS) method using electrical impedance tomography. The conductivity to be reconstructed was assumed to be piecewise constant and the geometry of the anomaly was represented by a shape-based PLS function, which we represent using Gaussian radial basis functions (GRBF). The representation of the PLS function significan... |
Year | DOI | Venue |
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2018 | 10.1109/TMI.2017.2756078 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Tomography,Image reconstruction,Level set,Conductivity,Inverse problems,Lungs,Shape | Iterative reconstruction,Computer vision,Level set method,Signed distance function,Level set,Algorithm,Parametric statistics,Artificial intelligence,Gaussian function,Mathematics,Piecewise,Electrical impedance tomography | Journal |
Volume | Issue | ISSN |
37 | 2 | 0278-0062 |
Citations | PageRank | References |
2 | 0.42 | 0 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Dong Liu | 1 | 12 | 5.34 |
Anil Kumar Khambampati | 2 | 8 | 3.09 |
Jiangfeng Du | 3 | 11 | 6.45 |