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中文摘要：
目的研究人体乳腺癌浸润部位对其电阻抗频谱特性的影响,为乳腺电阻抗扫描成像仪器检查结果中出现“暗区”现象提供实验依据和基础数据。方法依据乳腺癌浸润部位不同分为2组：浸润到脂肪组和浸润到腺体组,采用英国Solartron公司1255B型频响分析仪,四电极法离体测量组织电阻抗频谱特性,测量频率1Hz～1MHz。采用非线性曲线拟合的方法得到cole-cole模型参数。结果从电阻抗特性实部看,浸润到脂肪组中乳腺癌的电阻率大大低于周围脂肪组织;而浸润到腺体组的乳腺癌组织的电阻率高于周围腺体组织;从电阻抗特性虚部看,各种测量组织的特征频率有所不同：脂肪组织的特征频率在1kHz左右,乳腺癌组织在200k～300kHz;腺体组织为2k～3kHz。结论无论是测量数据还是模型参数,乳腺癌及其周围组织的电阻抗特性存在显著性差异,同时发现癌组织浸润的部位不同,其差异有所不同。
英文摘要：
Objective To study the influence of breast cancer infiltration sites on multi-frequency impedance characteristics and provide some basic data and experimental basis of the ＂dark spots＂ on the images of breast cancer in electrical impedance scanning （EIS）. Methods According to the locations, the infiltrations were divided into two groups, i.e. infiltration into fat tissue and that into the mammary gland. Model 1255 B impedance/gain-phase analyzer of Solartron Company was used to facilitate the four-electrode measuring method by which the multi-frequency impedance characteristics of breast cancer and their surrounding tissues were measured in vitro. The measurements were made with frequencies from 1 Hz to 1 MHz. Cole-Cole parameters were calculated by non-linear curve fitting using computer program. Results From the real parts of impedance characteristics, it was found that the resistivity of the breast cancer was remarkably lower in the infiltrated fat tissue than in their surrounding fat tissues whereas the resistivity of the cancer is remarkably higher in the infiltrated mammary gland than in their surrounding gland tissues. From the imaginary parts of impedance characteristics, differences existed in the characteristic frequencies. In fat tissues, the frequency was about 1 kHz, the frequency of the breast cancer was 200 k -300 kHz and that of the mammary gland tissues was 2 k -3 kHz. Conclusion There are significant differences between the breast cancer and their surrounding tissues in both measured and modeled data. Further analysis showed that the significant differences in impedance characteristics of the surrounding tissues are in connection with the locations infiltrated by the tumor.
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Preliminary Simulations on Magnetic Induction Tomography of the Brain Based on Finite Element Method
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