2-D Fused Image Reconstruction approach for Microwave Tomography: a theoretical assessment using FDTD Model.

Pub Date : 2013-01-01 DOI:10.1080/21681163.2013.776268
G Bindu, S Semenov
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引用次数: 0

Abstract

This paper describes an efficient two-dimensional fused image reconstruction approach for Microwave Tomography (MWT). Finite Difference Time Domain (FDTD) models were created for a viable MWT experimental system having the transceivers modelled using thin wire approximation with resistive voltage sources. Born Iterative and Distorted Born Iterative methods have been employed for image reconstruction with the extremity imaging being done using a differential imaging technique. The forward solver in the imaging algorithm employs the FDTD method of solving the time domain Maxwell's equations with the regularisation parameter computed using a stochastic approach. The algorithm is tested with 10% noise inclusion and successful image reconstruction has been shown implying its robustness.

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微波断层扫描的二维融合图像重建方法:使用 FDTD 模型进行理论评估。
本文介绍了一种用于微波断层扫描(MWT)的高效二维融合图像重建方法。为一个可行的 MWT 实验系统创建了有限差分时域 (FDTD) 模型,该系统中的收发器采用细线近似法和电阻电压源建模。图像重建采用了博恩迭代法和扭曲博恩迭代法,肢体成像采用了差分成像技术。成像算法中的前向求解器采用 FDTD 方法求解时域麦克斯韦方程,正则化参数采用随机方法计算。该算法在包含 10% 噪声的情况下进行了测试,并成功地重建了图像,这意味着该算法具有鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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