有限视域下功率密度数据的电导率重建

Pub Date : 2022-02-24 DOI:10.7146/math.scand.a-135820
Bjørn Jensen, K. Knudsen, Hjordis Schluter
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引用次数: 2

摘要

在声电层析成像中,目标是从根据控制椭圆偏微分方程的规定边界条件生成的内部功率密度数据的知识中提取关于物理体内部电导率的信息。在本文中,我们考虑了当受控边界条件仅应用于全边界的一个子集时的问题。我们使用唯一延拓原理证明了Runge近似性质对于有限视图数据的这种特殊情况也是有效的。因此,我们保证存在有限多个边界条件,使得相应的解局部满足非消失梯度条件。这个条件对于从功率密度数据重建电导率是必不可少的。此外,我们根据我们的设置调整了用于完整数据情况的现有重建方法。我们用数值方法实现了该方法,并研究了从两个固定边界条件重建时的机会和缺点。
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Conductivity reconstruction from power density data in limited view
In acousto-electric tomography, the objective is to extract information about the interior electrical conductivity in a physical body from knowledge of the interior power density data generated from prescribed boundary conditions for the governing elliptic partial differential equation. In this note, we consider the problem when the controlled boundary conditions are applied only on a small subset of the full boundary. We demonstrate using the unique continuation principle that the Runge approximation property is valid also for this special case of limited view data. As a consequence, we guarantee the existence of finitely many boundary conditions such that the corresponding solutions locally satisfy a non-vanishing gradient condition. This condition is essential for conductivity reconstruction from power density data. In addition, we adapt an existing reconstruction method intended for the full data situation to our setting. We implement the method numerically and investigate the opportunities and shortcomings when reconstructing from two fixed boundary conditions.
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