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Ultra Wideband-Based Imaging Technology for Stroke Detection

用于中风检测的超宽带成像技术

基本信息

批准号：
221837833
负责人：
Professor Dr. Olaf Dössel, Ph.D.
金额：
--
依托单位：
Institut für Biomedizinische Technik (IBT)
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2012
资助国家：
德国
起止时间：
2011-12-31 至 2014-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/221837833?language=en
关键词：
Ultra Wideband Based Imaging Technology

项目摘要

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.

这项研究旨在解决中风的早期发现和鉴别诊断——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，成本效益和便携式系统的辅助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，通过模拟和测量来检测和分类中风，并提出并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应用。通过对通过不同头层传播的超宽带信号的分析分析，提取出成像系统的一般必要规格，在此基础上，将设计适合这种特定医疗诊断目的的适当的超宽带硬件组件，特别是天线和天线阵列。此外，将建立一个真实的人类头部模型，并通过数值计算机模拟研究无中风和中风（出血性和缺血性中风）。根据人体头部模型的具体特点，开发鲁棒、快速、灵敏的脑卒中成像、识别和分类重建算法。一个由优化天线阵列组成的测量装置将在实际中实现，并将在模拟人类头部的幻影上评估其性能。