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Electrical Impedance Tomography for Medical Imaging

用于医学成像的电阻抗断层扫描

基本信息

批准号：
8714618
负责人：
John Webster
金额：
$ 34.68万
依托单位：
University of Wisconsin-Madison
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
1987
资助国家：
美国
起止时间：
1987-09-01 至 1991-02-28
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=8714618&HistoricalAwards=false
关键词：
Electrical Impedance Tomography Medical Imaging

项目摘要

There are many existing medical imaging techniques, including x-ray computerized tomography (CT), magnetic resonance imaging (MRI), ultrasonic imaging, radioisotope imaging, and thermographic imaging. Each has its own advantages and are suitable for different applications. Electrical impedance tomography (EIT) images electrical resistivity. It measures currents and voltages to determine the object's impedance distribution. Since different organs have different resistivity, this technique then recognizes the differences and will produce an image. EIT has several advantages, they include: safe from ionizing radiation, inexpensive instrumentation, and portability. A system has been developed for EIT, including a 16-electrode physical phantom, a data acquisition a system interfaced with a PC, reconstruction software, and color display facilities. This action provides for renewed support to: determine the sources of measurement error from a physical phantom, develop an error-tolerant reconstruction algorithm that can optimally reconstruct the image form measured error- contaminated real data, determine the image spatial resolution that can be practically achieved for typical impedance distribution of the human body, expand the two-dimensional reconstruction method to a three- dimensional method. Both of the PI's are experiences researchers and the institutional support is adequate, I recommend support.

现有的医学成像技术有很多，包括X射线计算机断层扫描（CT）、磁共振成像（MRI）、超声成像、放射性同位素成像和热成像。每种都有自己的优点，适合不同的应用。电阻抗断层扫描 (EIT) 对电阻率进行成像。它测量电流和电压以确定物体的阻抗分布。由于不同的器官具有不同的电阻率，因此该技术可以识别差异并生成图像。 EIT 有几个优点，包括：免受电离辐射、廉价的仪器和便携性。已经为 EIT 开发了一个系统，包括一个 16 电极物理体模、一个与 PC 连接的数据采集系统、重建软件和彩色显示设施。这一行动为以下方面提供了新的支持：确定物理体模的测量误差来源，开发一种容错重建算法，可以从测量误差污染的真实数据中最佳地重建图像，确定人体典型阻抗分布实际上可以实现的图像空间分辨率，将二维重建方法扩展到三维方法。两位 PI 都是经验丰富的研究人员，机构支持也足够，我建议支持。