András Lovas on Muck Rack

András Lovas

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Articles

Structural priors represented by discrete cosine transform improve EIT functional imaging

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By Rongqing Chen, Sabine Krueger-Ziolek, András Lovas, Balázs Benyó
| PLOS ONE
Simulation data Different reconstruction algorithms, GREIT, one-step Gauss-Newton solver and the DCT-based approach, were applied to the five introduced conductivity distributions. The results are depicted in Fig 5. As different algorithms have different EIT pixel ranges in the reconstruction, all images were normalized between [0, 1] in Fig 5. The first column depicts the conductivity distribution in the simulation model, which served as a ground truth for simulation and evaluation.
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