Microwave Laboratory Research Group, Engineering Research Institute of Elche, Miguel Hernández University of Elche, 03202 Elche, Spain.
Neuroengineering Biomedical Research Group, Institute of Bioengineering, Miguel Hernández University of Elche, 03202 Elche, Spain.
Biosensors (Basel). 2024 Mar 18;14(3):149. doi: 10.3390/bios14030149.
A proof-of-concept of a microwave imaging system for the fast detection of abdominal aortic aneurysms is shown. This experimental technology seeks to overcome the factors hampering the fast screening for these aneurysms with the usual equipment, such as high cost, long-time operation or hazardous exposure to chemical substances. The hardware system is composed of 16 twin antennas mastered by a microcontroller through a switching network, which connects the antennas to the measurement instrument for sequential measurement. The software system is run by a computer, mastering the whole system, automatizing the measurement process and running the signal processing and medical image generation algorithms. Two image generation algorithms are tested: Delay-and-Sum (DAS) and Improved Delay-and-Sum (IDAS). Own-modified versions of these algorithms adapted to the requirements of our system are proposed. The system is carefully calibrated and fine-tuned with known objects placed at known distances. An experimental proof-of-concept is shown with a human torso phantom, including an aorta phantom and an aneurysm phantom placed in different positions. The results show good imaging capabilities with the potential for detecting and locating possible abdominal aortic aneurysms and reporting acceptable errors.
展示了一种用于快速检测腹主动脉瘤的微波成像系统的概念验证。这项实验技术旨在克服通常设备中阻碍快速筛查这些动脉瘤的因素,如成本高、操作时间长或接触化学物质的危害。硬件系统由 16 个双天线组成,通过开关网络由微控制器控制,将天线连接到测量仪器进行顺序测量。软件系统由一台计算机运行,掌握整个系统,自动化测量过程,并运行信号处理和医学图像生成算法。测试了两种图像生成算法:延迟和求和(DAS)和改进的延迟和求和(IDAS)。针对我们系统的要求,提出了对这些算法的修改版本。该系统经过仔细校准和微调,使用放置在已知距离处的已知物体进行测试。用一个人体体模进行了实验验证,其中包括一个主动脉体模和一个放置在不同位置的动脉瘤体模。结果表明,该系统具有良好的成像能力,有可能检测和定位可能的腹主动脉瘤,并报告可接受的误差。