Moving Forward to Real-time Imaging-based Monitoring of Cerebrovascular Diseases Using a Microwave Device: Numerical and Experimental Validation

D. Rodriguez-Duarte, J. T. Tobon Vasquez, F. Vipiana
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引用次数: 1

Abstract

This paper introduces a numerical and experimental assessment of the microwave device capabilities to perform continuous real-time imaging-based monitoring of a brain stroke, exploiting a differential measuring scheme of the scattering matrices and the distorted Born approximation. The device works around 1 GHz and consists of a low-complexity 22-antenna-array composed of custom-made wearable elements. The imaging kernel is built using an average-head reference scenario computed off-line via accurate numerical models and an in-house finite element method electromagnetic solver. The validation follows the progression of emulated evolving hemorrhagic stroke condition, including tests with both an average single-tissue head model and a multi-tissue one in the numerical part and the average scenario in the experimental one. The results show the system’s capacity to localize and track the shape changes of the stroke-affected area in all studied cases.
利用微波装置推进基于实时成像的脑血管疾病监测:数值和实验验证
本文介绍了利用散射矩阵和畸变玻恩近似的差分测量方案,对微波器件进行连续实时成像监测脑卒中能力的数值和实验评估。该设备工作在1ghz左右,由定制的可穿戴元件组成的22个低复杂度天线阵列组成。成像核是通过精确的数值模型和内部有限元电磁求解器离线计算的平均头参考场景构建的。验证遵循模拟进化出血性脑卒中病情的进展,包括数值部分的平均单组织头部模型和多组织头部模型的测试,以及实验部分的平均场景测试。结果表明,在所有研究案例中,该系统都具有定位和跟踪中风影响区域形状变化的能力。
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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