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arXiv math/0408237math.APcs.NAmath.NA

边界不完全已知的反电导率问题

Inverse conductivity problem with an imperfectly known boundary

Ville Kolehmainen, Matti Lassas, Petri Ola

AI总结:

针对电阻抗成像中边界建模不准确导致的误差,基于Teichmuller空间理论提出一种新算法,数值实现以恢复变形后的各向同性电导率图像。

摘要:

我们展示了如何消除电阻抗成像(EIT)中因边界建模不正确而引起的误差。在实际测量中,通常缺乏对边界的精确了解。因此,根据测量的EIT数据进行数值重建时,使用一个代表真实域最佳猜测的模型域。然而,已经注意到,边界模型的不准确会导致重建出现严重误差。我们基于Teichmuller空间理论引入了一种新算法来找到原始各向同性电导率的变形图像,并进行了数值实现。

英文摘要:

We show how to eliminate the error caused by an incorrectly modeled boundary in electrical impedance tomography (EIT). In practical measurements, one usually lacks the exact knowledge of the boundary. Because of this the numerical reconstruction from the measured EIT data is done using a model domain that represents the best guess for the true domain. However, it has been noticed that the inaccurate model of the boundary causes severe errors for the reconstructions. We introduce a new algorithm to find a deformed image of the original isotropic conductivity based on the theory of Teichmuller spaces and implement it numerically.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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