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Distinguishability Revisited: Depth Dependent Bounds on Reconstruction Quality in Electrical Impedance Tomography:Depth dependent bounds on reconstruction quality in electrical impedance tomography

机译:可再分辨性:电阻抗断层成像中重建质量的深度依赖性界限:电阻抗断层成像中重建质量的深度依赖性界限

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摘要

The reconstruction problem in electrical impedance tomography is highly ill-posed, and it is often observed numerically that reconstructions have poor resolution far away from the measurement boundary but better resolution near the measurement boundary. The observation can be quantified by the concept of distinguishability of inclusions. This paper provides mathematically rigorous results supporting the intuition. Indeed, for a model problem lower and upper bounds on the distinguishability of an inclusion are derived in terms of the boundary data. These bounds depend explicitly on the distance of the inclusion to the boundary, i.e. the depth of the inclusion. The results are obtained for disk inclusions in a homogeneous background in the unit disk. The theoretical bounds are veried numerically using a novel, exact characterization of the forward map as a tridiagonal matrix.
机译:电阻抗层析成像中的重建问题病态严重,并且经常在数值上观察到,重建在远离测量边界处的分辨率较差,但在测量边界附近的分辨率较高。可以通过夹杂物的可区分性概念来量化观察结果。本文提供了严格的数学结果支持直觉。实际上,对于模型问题,根据边界数据得出了包含物的可区分性的上限和下限。这些界限明确地取决于夹杂物到边界的距离,即夹杂物的深度。获得了在单位磁盘中均匀背景中的磁盘夹杂物的结果。使用正向图的新颖,精确的表征作为三对角矩阵,可以对数字的理论边界进行数值化处理。

著录项

  • 作者

    Garde Henrik; Knudsen Kim;

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  • 年度 2017
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  • 原文格式 PDF
  • 正文语种 eng
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