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[학술대회자료]

A new hybrid reconstruction method in EIT

  • 학술대회자료

A new hybrid reconstruction method in EIT

Moon Kyung Choi(연세대학교) Bastian Harrach(Johannes Gutenberg-Universität Mainz) Jin Keun Seo(연세대학교)

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We develop a new hybrid reconstruction method(HM) which is based on a careful analysis of the correlation between the dataset δV and the standard sensitivity matrix S. The proposed method combines the conventional linearized reconstruction method(LM) with a different method called sensitivity matrix based factorization method(S-FM). We found that the two methods are complementary to each other in the same sensitivity matrix-based system; the LM finds a best linear combination of S that produces the dataset δV, while the S-FM provides a pixel-wise index (in the imaging domain) indicating the possibility of the presence of anomaly at each pixel by estimating correlation between the dataset δV and the column vector of S corresponding to the pixel. The S-FM as a supplementary operator to LM plays two important roles; regularization and localization. We perform various numerical simulations to show that the HM effectively deal with some reconstruction artifacts in LM.

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