Design Automation of a Dynamic Thorax-Like Mesh Phantom for Evaluating the Performance of Electrical Impedance Tomography System

Autor: Wangzilu Lu, Qianyu Guo, Jiajie Huang, Yan Wu, Chao Wang, Jian Zhao, Yongfu Li
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: IEEE Open Journal of Instrumentation and Measurement, Vol 1, Pp 1-9 (2022)
Druh dokumentu: article
ISSN: 2768-7236
DOI: 10.1109/OJIM.2022.3196745
Popis: Phantoms are used to evaluate, calibrate, and compare the performance of electrical impedance tomography (EIT) systems. This paper presents a dynamic thorax-like mesh phantom, which mimics the changes in electrical conductivity distribution within a human thorax at different time frames. Furthermore, element merging and contour smoothing, electrode placement techniques, and PCB design automation methods are proposed to simplify, optimize the mesh phantom, and reduce the hardware implementation cost. To verify the accuracy of the mesh phantom and its PCB, SPICE simulations and experimental testings are performed to obtain the conductance of the mesh phantom and reconstruct the images through the EIDORS software. These images achieve an image correlation coefficient (ICC) of 0.680 (model versus SPICE simulation) and 0.9098 (SPICE simulation versus measurement result), respectively. This demonstrates the validity of our proposed dynamic thorax-like mesh phantom.
Databáze: Directory of Open Access Journals