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Advantages of DOF's Continuous Matching in EIT Inverse Problem

机译:自由度连续匹配在EIT反问题中的优势

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This paper proposes new possibilities to solve the electrical impedance tomography inverse problem. Usually, a set of voltage measurements is acquired from the boundaries of an investigated volume, whilst this is subjected to a sequence of low-frequency current patterns. To find unknown material property distribution inside investigated object we can use the deterministic approach only, but there is often problem in such cases to find the stable and accurate solutions. To improve the stability and the accuracy of electrical impedance tomography image reconstructions new algorithm was created. In recent years is very often used the Level Set method to identify regions with different image or material properties and to separate the regions with known and unknown conductivity value. New algorithm is based on both of standard Tikhonov Regularization method and Level Set method. Further are presented also obtained reconstruction results.
机译:本文提出了解决电阻抗层析成像反问题的新可能性。通常,从所研究体积的边界获取一组电压测量值,同时对其进行一系列低频电流模式测量。要找到被调查对象内部未知的材料特性分布,我们只能使用确定性方法,但是在这种情况下,找到稳定,准确的解决方案经常会遇到问题。为了提高电阻抗断层图像重建的稳定性和准确性,提出了一种新的算法。近年来,经常使用“水平集”方法来识别具有不同图像或材料属性的区域,并分离具有已知和未知电导率值的区域。新算法基于标准的Tikhonov正则化方法和水平集方法。此外,还提出了获得的重建结果。

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