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一种用于脑中风诊断的实验性十端口微波系统——潜力与局限

An Experimental 10-Port Microwave System for Brain Stroke Diagnosis-Potentials and Limitations.

作者信息

Pokorny Tomas, Redr Jan, Laierova Hana, Smahelova Barbora, Kollar Jakub

机构信息

Department of Biomedical Technology, Faculty of Biomedical Engineering, Czech Technical University in Prague, 160 00 Praha, Czech Republic.

出版信息

Sensors (Basel). 2025 Jul 12;25(14):4360. doi: 10.3390/s25144360.

Abstract

Microwave imaging systems show potential as replacements for commonly used stroke diagnostic systems. We developed and tested a 10-port microwave system on a liquid head phantom with ischemic and hemorrhagic strokes of varying sizes and positions. This system allows for visualization of changes in dielectric parameters using the TSVD Born approximation, enabling recognition of stroke position and size from the resulting images. The SVM algorithm effectively distinguishes between ischemic and hemorrhagic strokes, achieving 98% accuracy on experimental data, with 99% accuracy in ischemic scenarios and 97% in hemorrhagic scenarios. Using the TSVD Born algorithm, it was possible to precisely image changes in the absolute permittivity of different stroke locations; however, changes in stroke size were more apparent in the variations of absolute permittivity than in the reconstructed stroke size within the antenna plane. Outside this plane, changes in the S-parameters decreased depending on the distance and size of the stroke, making detection and classification more difficult. One ring of antennas around the head proved insufficient, prompting us to focus on developing a system with antennas positioned around the entire head.

摘要

微波成像系统显示出有望替代常用的中风诊断系统。我们在具有不同大小和位置的缺血性和出血性中风的液体头部模型上开发并测试了一个10端口微波系统。该系统允许使用截断奇异值分解(TSVD)玻恩近似来可视化介电参数的变化,从而能够从所得图像中识别中风的位置和大小。支持向量机(SVM)算法有效地区分缺血性和出血性中风,在实验数据上达到了98%的准确率,在缺血性情况下准确率为99%,在出血性情况下为97%。使用TSVD玻恩算法,可以精确地对不同中风位置的绝对介电常数变化进行成像;然而,中风大小的变化在绝对介电常数的变化中比在天线平面内重建的中风大小中更为明显。在该平面之外,S参数的变化根据中风的距离和大小而减小,这使得检测和分类更加困难。事实证明,头部周围的一圈天线是不够的,这促使我们专注于开发一种天线围绕整个头部放置的系统。

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