Field-Based Discretization of the 3-D Contrast Source Inversion Method Applied to Brain Stroke Microwave Imaging

IF 3 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Valeria Mariano;Jorge A. Tobon Vasquez;David O. Rodriguez-Duarte;Francesca Vipiana
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引用次数: 0

Abstract

The contrast source inversion method is an iterative non-linear algorithm, and, in this paper, it works in combination with a finite element method solver for the reconstruction of the dielectric properties' distribution in the head with the aim to diagnose brain stroke. Here, the involved contrast source variables are discretized through a novel field-based discretization that allows a linear variation of the variables, leading to their more accurate description, and therefore to a final dielectric properties' reconstruction closer to the expected scenario. Moreover, we propose a new approach to compute the imaging algorithm initial guess, based on the truncated singular value decomposition technique, that appears more effective in the case of noisy measured data. Finally, the developed algorithm is applied to sets of data, measured with a microwave imaging system to reconstruct brain stroke scenarios.
基于场的三维对比源反演法离散化应用于脑卒中微波成像
对比源反演法是一种迭代非线性算法,在本文中,它与有限元法求解器相结合,用于重建头部介电特性分布,目的是诊断脑中风。在这里,我们通过一种新颖的基于场的离散化方法对所涉及的造影剂源变量进行了离散化处理,这种方法允许变量的线性变化,从而对其进行更精确的描述,因此最终的介电特性重建更接近预期的情况。此外,我们还提出了一种基于截断奇异值分解技术的计算成像算法初始猜测的新方法,这种方法在测量数据有噪声的情况下显得更加有效。最后,我们将所开发的算法应用于使用微波成像系统测量的数据集,以重建脑中风的情况。
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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来源期刊
CiteScore
5.80
自引率
9.40%
发文量
58
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