Ultra Wideband-Based Imaging Technology for Stroke Detection

这项研究即将解决中风的早期发现和鉴别诊断--中风是导致人类残疾的主要原因之一，也是全球第二大死亡原因。将通过快速、可靠、经济高效和便携的系统来设计和实现互补的诊断解决方案。本项目的目的是开发和评估超宽带(UWB)成像技术，通过模拟和测量来检测和分类中风，并提出和实现该系统的实验室版本，该系统将在该项目的第二阶段进一步开发用于实际临床使用。对通过不同头层传播的UWB信号的分析分析导致提取成像系统的一般必要规范，基于该规范将设计适合于该特定医疗诊断目的的适当的UWB硬件组件，特别是天线和天线阵列。此外，还将建立一个真实的无卒中和有卒中(出血性和缺血性卒中)的头部模型，并通过计算机数值模拟进行研究。根据人头模型的具体特点，开发和应用健壮、快速、灵敏的笔划成像、识别和分类重建算法。由优化的天线阵组成的测量装置将实际实现，其性能将在模仿人头的体模上进行评估。

This research is about to address the early detection and differentiating diagnosis of stroke - one of the leading cause of human disability and the second cause of death worldwide. Complementary diagnosis solutions via fast, reliable, cost effective and portable systems will be designed and realized. The aim of this project is to develop and evaluate ultra wideband (UWB) imaging technology for the detection and classification of stroke via simulations and measurements and to propose and realize a laboratory version of the system which in a second phase of this project will be further developed for actual clinical use. The analytical analysis of the UWB signals propagating through different head layers lead to the extraction of the general necessary specifications of the imaging system based on which appropriate UWB hardware components, in particular antennas and antennas arrays, suitable for this specific medical di-agnostic purpose will be designed. Moreover, a realistic model of human head without and with stroke (both hemorrhagic and ischemic stroke) will be set up and investigated through numerical computer simulations. Based on the specific characteristics of the human head model, robust, fast and sensitive reconstruction algorithms for imaging, recognition and classification of stroke will be developed and applied. A measurement setup consisting of an optimized antenna array will be practically realized and its performance will be evaluated on phantoms that mimic the human head.