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基于生物阻抗谱成像的生物组织检测方法
引用本文:尹鸿润,叶明,吴阳,刘凯,潘化平,姚佳烽.基于生物阻抗谱成像的生物组织检测方法[J].物理学报,2022(4):367-373.
作者姓名:尹鸿润  叶明  吴阳  刘凯  潘化平  姚佳烽
作者单位:南京航空航天大学机电学院;南京医科大学附属江宁医院;南京市江宁医院
基金项目:国家自然科学基金(批准号:62071224);江苏省重点研发计划(社会发展)(批准号:BE2021618);精密测试及仪器国家重点实验室开放基金(批准号:pilab2107);江苏大学临床医学科技发展基金(批准号:JLY2021156);南京医科大学科技发展基金(批准号:NMUB2020164)资助的课题.
摘    要:基于电阻抗成像技术和生物阻抗谱技术,提出一种面向生物组织检测的生物阻抗谱成像方法.该方法将目标区域可视化并精准识别目标种类,可用于肺癌早期检测,协助临床医生对早期肺癌进行精准检测,提高早期肺癌的治愈率.本文通过数值仿真的方法验证生物阻抗谱成像方法在肺癌早期检测中的可行性和有效性,仿真结果表明:1)生物阻抗谱成像方法可以实现早期肺癌区域的可视化,并精确判别出早期肺癌种类; 2)生物阻抗谱成像方法中阻抗谱的最佳采集模式是4次循环采集,最佳分类器是Linear-SVM, 5折交叉验证的平均分类准确率可以达到99.9%.为了验证仿真结果,本文选取3种具有不同电学特性的生物组织模拟癌变区域进行了检测.实验结果表明该方法可以对生物组织区域可视化,并判别出生物组织的种类.该方法可以兼顾电阻抗成像和生物阻抗谱方法的优点,有望用于肺癌早期检测.

关 键 词:生物阻抗谱成像  生物阻抗谱  电阻抗成像  肺癌早期检测

Biological tissue detection based on electrical impedance spectroscopic tomograsphy
Yin Hong-Run,Ye Ming,Wu Yang,Liu Kai,Pan Hua-Ping,Yao Jia-Feng.Biological tissue detection based on electrical impedance spectroscopic tomograsphy[J].Acta Physica Sinica,2022(4):367-373.
Authors:Yin Hong-Run  Ye Ming  Wu Yang  Liu Kai  Pan Hua-Ping  Yao Jia-Feng
Affiliation:(College of Electrical and Mechanical Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China;Affiliated Jiangning Hospital,Nanjing Medical University,Nanjing 211100,China;Engineering Medicine Joint Laboratory,Nanjing Jiangning Hospital,Nanjing 211100,China)
Abstract:A bioimpedance spectroscopic imaging method for detecting the biological tissue based on electrical impedance tomography(EIT)and bioimpedance spectroscopy(BIS)is proposed.This method visualizes the target area and accurately recognizes the target type,which can be used for detecting the early lung cancer,assist clinicians in accurately detecting the early lung cancer,and improving the cure rate of early lung cancer.In this paper the bioimpedance spectroscopic imaging method is verified to be feasible and effective in detecting the early lung cancer through numerical simulation.The simulation results show that 1)the bioimpedance spectroscopic imaging method can realize the visualization of the early lung cancer area and accurately distinguish the type of early lung cancer,and 2)the optimal number of acquisitions of impedance spectroscopy is 4,and the best classifier is Linear-SVM,and the average classification accuracy of 5-fold cross-validation can reach 99.9%.In order to verify the simulation results,three biological tissues with different electrical characteristics are selected to simulate cancerous regions used for detection.The experimental results show that the method can visualize the biological tissue area and distinguish the type of biological tissue.This method can integrate the advantages of electrical impedance imaging and bioimpedance spectroscopy,and is very promising way of detecting early lung cancer.
Keywords:bioimpedance spectroscopic tomography  bioelectrical impedance spectroscopy  electrical impedance tomography  early detection of lung cancer
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