目的　研究基于物理模型的静态电阻抗断层成像技术 .方法　使用电阻抗断层成像激励和测量系统 获得物理模型上的测量数据 ,应用正则化校正的 Newton- Raphson算法重构静态阻抗图像 .结果　对几种具有不同电阻率的背景溶液和琼脂目标得到了初步的静态阻抗图像 .背景溶液重构图像的灰度比较均匀 ,重构数值集中在一个较小的范围内 ,且与实际电阻率数值近似成比例关系 ;目标重构图像清晰 ,图像大小与实际大小接近 ,定位基本准确 ,不同电阻率的目标在重构图像中具有不同的数值和灰度 ,对多个目标可以明确区分 ;驱动电流的大小对重构结果的影响很小 .结论　 EIT激励和测量系统 所得测量数据的精度基本能满足静态成像的要求 ,正则化校正的重构算法能够有效区分不同电阻率值的目标 ,能够适应静态阻抗重构的需要 OBJECTIVE To study the static electrical impedance tomography based on physical model.Methods The electrical impedance tomography excitation and measurement system were used to obtain the measured data on the physical model and the normal impedance corrected Newton-Raphson algorithm was used to reconstruct the static impedance image.Results Several kinds of static impedance images The initial static impedance images of the background solution and the agar target with different resistivities were obtained.The grayscale of the background solution reconstructed image is more uniform, the reconstructed value is concentrated in a smaller range, and is approximately proportional to the actual resistivity value The target reconstructed image is clear, the image size is close to the actual size, the positioning is basically accurate, the targets with different resistivities have different values ​​and grayscales in the reconstructed image, and the multiple targets can be clearly distinguished; the size of the driving current Conclusion The accuracy of the measured data obtained by the EIT excitation and measurement system can basically meet the requirements of static imaging. The regularized reconstruction algorithm can effectively distinguish the targets with different resistivity values ​​and can adapt to the static impedance reconstruction Need