微波层析FEM-CSI自适应网格划分研究

A. Zakaria, J. Lovetri
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引用次数: 5

摘要

在对比源反演(CSI)中,利用有限元方法离散微分算子具有传统的基于积分方程的CSI算法无法比拟的优点。FEM-CSI的优点之一是能够自适应地控制反演域内三角形网格的密度,从而提高重构图像的质量,减少反演算法的计算量。在这里,我们提出了一个利用FEM-CSI这一优势的例子,使用几个反演结果提供了定性和定量分析。所选择的示例是在二维横向磁(TM)近似下的无界区微波层析成像配置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A study of adaptive meshing in FEM-CSI for microwave tomography
The use of finite element method (FEM) to discretize the differential operator in the contrast source inversion (CSI) offers several advantages over conventional integral-equation based CSI algorithms. One of the advantages of FEM-CSI is the ability to adaptively control the density of the triangular mesh within the inversion domain to increase the quality of the reconstructed image and to reduce the computational burden of the inversion algorithm. Here we present an example that exploits this advantage of FEM-CSI, providing a qualitative and quantitative analysis using several inversion results. The example selected is for an unbounded-region microwave tomography configuration under the 2D transverse magnetic (TM) approximation.
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