Edic P M, Saulnier G J, Newell J C, Isaacson D
Department of Electrical, Computer and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.
IEEE Trans Biomed Eng. 1995 Sep;42(9):849-59. doi: 10.1109/10.412652.
Electrical properties of tissues in the human body can be imaged using a technology known as Electrical Impedance Tomography. In this modality, sinusoidal electrical currents are applied to the body using electrodes attached to the skin, and voltages that are developed on the electrodes are measured. Using these data, a reconstruction algorithm computes the conductivity and permittivity distributions within the body. This paper describes the reconstruction algorithm, image display algorithm, and hardware of a real-time Electrical Impedance Tomograph known as the Real-Time Imaging System. The reconstruction algorithm, executed by a commercially available coprocessor board that resides in a 386-based personal computer, is a modification of the Newton's One Step Error Reconstructor (NOSER) that minimizes algorithm execution time by precomputing many quantities. The image display algorithm, also executed by the coprocessor board, maps the output of the reconstruction algorithm into an image which is displayed using a video graphics board. The architecture of the system and execution times of algorithms implemented by the system are discussed. Using the continuous data acquisition mode of the Real-Time Imaging System, data from the thorax of a normal human subject were collected. Admittivity changes in the chest, as a result of respiration and the cardiac cycle, are presented. Data that were collected from the leg of a normal subject are shown which demonstrate capabilities of the triggered data acquisition mode of the system, allowing data acquisition synchronization with an electrocardiogram.
人体组织的电学特性可以使用一种称为电阻抗断层成像的技术进行成像。在这种模式下,使用附着在皮肤上的电极向人体施加正弦电流,并测量电极上产生的电压。利用这些数据,一种重建算法计算人体内部的电导率和介电常数分布。本文描述了一种称为实时成像系统的实时电阻抗断层扫描仪的重建算法、图像显示算法和硬件。重建算法由基于386的个人计算机中的商用协处理器板执行,它是牛顿一步误差重建器(NOSER)的一种改进,通过预先计算许多量来最小化算法执行时间。图像显示算法也由协处理器板执行,它将重建算法的输出映射为一幅图像,该图像使用视频图形板进行显示。讨论了系统的架构以及系统实现的算法的执行时间。使用实时成像系统的连续数据采集模式,收集了一名正常人体受试者胸部的数据。展示了由于呼吸和心动周期导致的胸部导纳变化。还展示了从一名正常受试者腿部收集的数据,这些数据证明了系统触发数据采集模式的能力,允许与心电图同步进行数据采集。