Chest Electrical Impedance Tomography Method Based on Priori Information of Human Body Structure
Wang Qi1,2, Chen Xiaojing1,2, Wang Jianming1,2*, Li Xiuyan1,2, Duan Xiaojie1,2, Wang Huaxiang3
1School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin 300387,China; 2School Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems, Tianjin 300387, China; 3School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China
Abstract：Electrical impedance tomography (EIT) technique has important clinical values in human thoracic pathological changes and lung detection. Due to the specificity of the chest contour, the reconstructed images based on traditional model imaging methods often have large errors. In this paper, we proposed a chest electrical impedance tomography method based on prior information of human body structure. The contours of the chest and lungs were extracted through the image processing of CT images, which provided prior information for forward and inverse problems of EIT. At the same time, an efficient subdivision method for inverse problem was proposed, which makes the shapes of reconstructed images closer to the real one. As a result, the quality of reconstruction was improved. In order to verify the effectiveness of the method, thirty samples of lung CT images for healthy human were selected from a hospital CT database. For the proposed method and two traditional methods, namely elliptical model imaging method and circular model imaging method, the statistical analysis of the lung region ratio (LRR) for the three methods were conducted. The results showed that there was no significant difference between the real LRR and the computed LRR based on the proposed method. The relative errors between the computed LRR based on proposed method and the real one was 3.71%±1.77%, which was much smaller than the elliptical model imaging method (10.29%±3.30%) and the circular model imaging method (12.74%±2.87%). The statistical significance was P<0.05. In conclusion, the proposed method could effectively improve the imaging quality.
王琦, 陈晓静, 汪剑鸣, 李秀艳, 段晓杰, 王化祥. 基于人体结构先验信息的胸部电阻抗成像方法[J]. 中国生物医学工程学报, 2019, 38(1): 35-43.
Wang Qi, Chen Xiaojing, Wang Jianming, Li Xiuyan, Duan Xiaojie, Wang Huaxiang. Chest Electrical Impedance Tomography Method Based on Priori Information of Human Body Structure. Chinese Journal of Biomedical Engineering, 2019, 38(1): 35-43.
