基于结构先验信息的磁探测电阻抗成像算法研究

Research on magnetic detection electrical impedance tomography based on structural prior information

为了提高磁探测电阻抗成像中图像分辨率,提出了一种基于结构先验信息的磁探测电阻抗成像算法。通过水平集方法对预处理后CT图像进行分割,获得结构先验信息图像;进而建立模拟肺水肿病变的仿真模型,并结合灵敏度矩阵算法进行重建,获得MDEIT重建图像。仿体实验结果表明:基于结构先验信息的磁探测电阻抗成像算法减少了重建图像的伪影,使重建的电导率图像相对误差从88.47%减少到33.39%;图像相关系数也从0.33提升到0.81,验证了基于结构先验信息的磁探测电阻抗重建算法,在重建图像结构和电导率重建数值精度方面相比传统重建算法都有了显著提高,为磁探测电阻抗成像的临床应用奠定了基础。

To improve the image resolution in magnetic detection electrical impedance tomography(MDEIT),an algorithm based on structural prior information is proposed.The pre-processed CT image is segmented by using the level set method to obtain the structural information image.The lung edema lesion simulation model is formulated by CT image,and the traditional sensitivity matrix algorithm is utilized to reconstruct the MDEIT reconstructed image.Experimental results show that the MDEIT algorithm based on structural prior information can reduce the artifacts of reconstructed images.The relative image error is reduced from 88.47%to 33.39%.And the image correlation coefficient is increased from 0.33 to 0.81.Compared with the traditional reconstruction algorithm,the accuracy of the reconstructed image structure and the reconstruction accuracy of the conductivity based on structural prior information are improved.The proposed method algorithm provides a foundation for the clinical application of MDEIT.