论文标题
有限视图中功率密度数据的电导率重建
Conductivity reconstruction from power density data in limited view
论文作者
论文摘要
在声音层析扫描中,目的是从物理体内的内部电导率提取信息,了解从规定的边界条件产生的内部功率密度数据,用于治理椭圆形部分微分方程。在本说明中,我们考虑仅将受控边界条件应用于完整边界的一小部分时的问题。我们使用唯一的延续原则证明了Runge近似属性对于此特殊情况有限的视图数据也有效。结果,我们保证存在有限的许多边界条件,因此相应的解决方案在局部满足了不变梯度条件。该条件对于来自功率密度数据的电导率重建至关重要。此外,我们将用于完整数据情况的现有重建方法调整为我们的设置。我们通过数值实施该方法,并研究从两个固定边界条件重建的机会和缺点。
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.