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Title:: Research on thoracic cavity modeling corrected by CT and magnetic field calculation based on finite element analysis

作者:: 陈瑞娟1; 3; 冯彦博1; 赵喆1; 2; 王金海1; 3; 王慧泉1; 2△; 李光旭1; 2; (1. 天津工业大学电子与信息工程学院，天津 300387; 2.天津工业大学天津市光电检测技术与系统重点实验室，天津 300387; 3.天津市医学电子诊疗技术工程中心，天津300387)

Author(s):: CHEN Ruijuan1; 3; FENG Yanbo1; ZHAO Zhe1; 2 ; WANG Jinhai1; 3; WANG Huiquan1; 2; LI Guangxu1; 2; 1. Tianjin Polytechnic University，School of Electronics and Information Engineering, Tianjin 300387, China; 2. Tianjin Polytechnic University，Tianjin Key Laboratory of Optoelectronic Detection Technology and System, Tianjin 300387; 3. Tianjin Medical Electronic Treating-Technology Engineering Center, Tianjin 300387

Keywords:: Magnetic detection electrical impedance tomography; CT image; Image segmentation; Induced magnetic filed; Finite element analysis; Lung cancer

摘要:: 磁探测电阻抗成像（magnetic detection electrical impedance tomography, MDEIT）通过体表电极向成像体注入激励电流，利用外部空间磁场分布数据重建成像体内部电导率分布。MDEIT技术应用于肺部肿瘤的动态检测，实现更加贴近实际的仿真计算；应用图像分割在临床CT图像获取胸腔内部结构先验信息，进而构建正常人与肺部肿瘤患者胸腔的三维模型，应用有限元分析分别计算胸腔外部磁场分布，并对其进行特征分析。正常人与肺部肿瘤患者胸腔周围的磁感应强度在空间分布上存在差异，两者对比结果显示，患者比正常人高出10.52%。外部磁感应强度的异常一定程度上反应了胸腔内组织的病理变化，为MDEIT在肺癌检测中的应用提供合理参考。

Abstract:: Magnetic detection electrical impedance tomography (MDEIT) uses boundary magnetic field to reconstruct conductivity distribution inside human body, magnetic field is induced by excitation current injected to the object through surface electrodes. To achieve the dynamic detection of lung tumor using MDEIT，the computed tomography (CT) images were processed by image segmentation to obtain the priori information to construct the three-dimensional thoracic models. And then, external magnetic field were calculated basing on the finite element analysis (FEA); the difference existed in the distribution of magnetic flux density between patient and normal people. Furthermore, the magnetic flux density of patient were 10.52% greater than that of the normal people. External magnetic flux density reflects the pathological change in the tissues of the thoracic cavity, which can provide reasonable reference to the application of the MDEIT in lung cancer detection.