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Experimental evaluation of 3D electrical impedance tomography with total variation prior

机译:先验总变化的3D电阻抗层析成像的实验评估

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摘要

In electrical impedance tomography (EIT), two- or three-dimensional (2D or 3D) distribution of the electrical conductivity is reconstructed based on potential measurements from the surface of the object. In many industrial and medical applications of EIT, the conductivity distribution is discontinuous - due to, e.g. phase or tissue boundaries. Previous studies have shown that such features in the conductivity can be preserved by using total variation (TV) prior model in the EIT image reconstruction. Recently, both 2D and 3D TV models have been utilized in EIT simulation studies. This far, however, EIT reconstructions with TV models have been evaluated experimentally only in 2D cases or translationally invariant 3D cases. In this paper, an experimental study of EIT with a TV prior in a 3D geometry is presented. In addition, we propose the selection of the prior parameters in the TV model based on the prior information of materials in the target, and their conductivity ranges. The results demonstrate the robustness of the proposed parameter selection strategy, and verify that the use of the TV prior yields sharp reconstructions in 3D EIT.
机译:在电阻抗层析成像(EIT)中,基于来自对象表面的电势测量,可以重建电导率的二维或三维(2D或3D)分布。在EIT的许多工业和医学应用中,电导率分布是不连续的,例如由于相或组织边界。先前的研究表明,通过在EIT图像重建中使用总变化(TV)先验模型可以保留电导率中的此类特征。最近,在EIT模拟研究中已经使用了2D和3D电视模型。然而,到目前为止,仅在2D情况或平移不变的3D情况下,通过实验评估了使用TV模型进行的EIT重建。在本文中,我们对3D几何中的先验电视进行EIT进行了实验研究。此外,我们建议根据目标中材料的先验信息及其电导率范围来选择TV模型中的先验参数。结果证明了所提出的参数选择策略的鲁棒性,并验证了电视先验的使用在3D EIT中产生了清晰的重构。

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