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用于监测脑萎缩进展的实验性雷达数据。

Experimental radar data for monitoring brain atrophy progression.

作者信息

Ullah Rahmat, Saied Imran, Arslan Tughrul

机构信息

School of Engineering, University of Edinburgh.

出版信息

Data Brief. 2022 Jun 10;43:108379. doi: 10.1016/j.dib.2022.108379. eCollection 2022 Aug.

Abstract

This data set contains complex frequency domain signals obtained from unidirectional antennas mainly fabricated for radar-based head imaging. Data were obtained as part of a project investigating radar-based microwave imaging for monitoring neurodegenerative diseases, especially Alzheimer's disease. The wearable device, measurement setup, and phantoms used are described. Multiple experiments were performed to get the data from three lamb brain phantoms that realistically mimic the whole-brain atrophy due to Alzheimer's disease. Microwave imaging has shown great potential for breast and brain screening due to its low cost, non-ionizing, portable, and wearable nature. Most of the studies are based on simulations with good results, but further evaluation on experimental data is required before its clinical viability. This work provides an open-source experimental dataset that can be used to evaluate novel signal processing and imaging techniques and validate simulation results. The data provide both the magnitude and phase value at each discrete frequency, making this data set useful for both time-delay and phase-shift based imaging algorithms.

摘要

该数据集包含从主要为基于雷达的头部成像制造的单向天线获得的复频域信号。这些数据是作为一个研究基于雷达的微波成像以监测神经退行性疾病,特别是阿尔茨海默病的项目的一部分而获得的。文中描述了所使用的可穿戴设备、测量装置和体模。进行了多次实验,以从三个逼真模拟因阿尔茨海默病导致的全脑萎缩的羊脑体模中获取数据。由于微波成像具有低成本、非电离、便携和可穿戴的特性,它在乳腺和脑部筛查方面显示出了巨大潜力。大多数研究基于模拟且结果良好,但在其临床可行性之前还需要对实验数据进行进一步评估。这项工作提供了一个开源实验数据集,可用于评估新颖的信号处理和成像技术并验证模拟结果。该数据在每个离散频率处都提供了幅度和相位值,使得这个数据集对于基于时延和相移的成像算法都很有用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2da/9234078/2c4b9cd8a7d6/gr1.jpg

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