Ultra Wideband-Based Imaging Technology for Stroke Detection

这项研究将解决中风的早期检测和鉴别诊断问题-中风是人类残疾的主要原因之一，也是全球第二大死亡原因。通过快速，可靠，经济有效和便携式系统的补充诊断解决方案将被设计和实现。该项目的目的是开发和评估超宽带（UWB）成像技术，通过模拟和测量中风的检测和分类，并提出和实现该系统的实验室版本，在该项目的第二阶段将进一步开发用于实际临床使用。UWB信号传播通过不同的头层的分析导致提取的一般必要的规格的成像系统的基础上，适当的UWB硬件组件，特别是天线和天线阵列，适合于这个特定的医疗诊断的目的将被设计。此外，一个真实的模型，人类头部没有和中风（出血性和缺血性中风）将建立和研究通过数值计算机模拟。基于人头部模型的具体特点，将开发和应用鲁棒、快速和灵敏的脑卒中成像、识别和分类重建算法。将实际实现由优化的天线阵列组成的测量设置，并将在模仿人类头部的幻影上评估其性能。

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.