分析化学2024，Vol.52Issue(2)：248-255,中插16-中插18,11.DOI:10.19756/j.issn.0253-3820.231064
基于三维电阻抗层析成像的乳腺癌传感器的设计
A Sensor for Detection of Breast Tumor with Three-dimensional Electrical Impedance Tomography
摘要
Abstract
An intensive breast array sensor was designed based on three-dimensional electrical impedance tomography in this work.Firstly,an electrical impedance sensor for detection of breast cancer was developed.The sensor adopted the integrated design of excitation electrode array and ground electrode to achieve structural simplification.It realized electric field densification through conical matrix and double-layer circumferentially arranged electrode array and improved the detection accuracy of target object through taper optimization.Secondly,the imaging system was designed,and the sensor was optimized by numerical simulation.The simulation results showed that halving the number of electrodes did not affect imaging accuracy of the sensor,but could improve the imaging speed.Finally,the performance of the sensor was verified by experiment.The signal-to-noise ratio and channel consistency of the system were at a good level.The sensor was used to reconstruct three-dimensional image of the experimental model with relative volume of the detection field of 0.4%.The image correlation coefficient of the single target imaging was above 0.6 and the position of the double target object could be clearly identified,and thus the visual detection of breast cancer was realized.关键词
电阻抗层析成像/传感器/乳腺癌/数值仿真Key words
Electrical impedance tomography/Sensor/Breast tumor/Numerical simulation引用本文复制引用
刘凯,李安琪,李芳,朱程君,田航,姚佳烽..基于三维电阻抗层析成像的乳腺癌传感器的设计[J].分析化学,2024,52(2):248-255,中插16-中插18,11.基金项目
研究生科研与实践创新计划项目(No.xcxjh20230503)、国家自然科学基金项目(No.62071224)、广东省基础与应用基础研究基金项目(No.2022A1515220154)和江苏省自然科学基金项目(No.BK20221480)资助.Supported by the Postgraduate Research&Practice Innovation Program of Nanjing University of Aeronautics and Astronautics(No.xcxjh20230503),the National Natural Science Foundation of China(No.62071224),the Guangdong Provincial Basic and Applied Basic Research Fund Project(No.2022A1515220154)and the Jiangsu Provincial Science Foundation Project(No.BK20221480). （No.xcxjh20230503）
