基于双重差分和边界抑制的对称EIT检测脑卒中算法研究  

A novel bi-frequency symmetry EIT algorithm for stroke detection based on differential difference and boundary suppression

作　　者：赵志博 曹新生 高志军 王航 代静 王春晨 秦义隆 刘洋 代萌 杨琳 付峰 ZHAO Zhibo;CAO Xinsheng;GAO Zhijun;WANG Hang;DAI Jing;WANG Chunchen;QIN Yilong;LIU Yang;DAI Meng;YANG Lin;FU Feng(School of Military Biomedical Engineering,Air Force Medical University,Xi'an 710032,China;Shaanxi Provincial Key Laboratory of Bioelectromagnetic Detection and Intelligent Perception,Air Force Medical University,Xi'an 710032,China;School of Aerospace Medicine,Air Force Medical University,Xi'an 710032,China)

机构地区：[1]空军军医大学军事生物医学工程学系,陕西西安710032 [2]空军军医大学陕西省生物电磁检测与智能感知重点实验室,陕西西安710032 [3]空军军医大学航空航天医学系,陕西西安710032

出　　处：《空军军医大学学报》2024年第11期1238-1242,1248,共6页Journal of Air Force Medical University

基　　金：国家自然科学基金青年科学基金(61901478);陕西省自然科学基金(2023-YBSF-130)。

摘　　要：目的探索一种基于双重差分和边界伪影抑制的新型双频对称电阻抗断层成像(EIT)算法,用于消除人头阻抗分布不完全对称的影响,显著提升对称差分EIT(SDEIT)算法的实际成像效果。方法在SDEIT算法的基础上,提出双频再差分的方式消除正常人头组织不对称引起的成像伪影,并进一步提出边界区域抑制成像方法,实现边界区域伪影抑制,从而全面提高SDEIT的成像准确性。结果仿真实验结果表明,在真实颅脑组织阻抗分布下,新算法对于不同位置、不同体积和不同类型的脑卒中病灶均能有效检出,且成像效果明显优于传统的SDEIT算法。结论本文提出的新型SDEIT算法有效解决了真实颅脑阻抗不完全对称分布导致的传统SDEIT算法成像不准确的问题,为EIT应用于实际脑卒中快速检测奠定了良好的算法基础。Objective To explore a novel bi-frequency symmetry electrical impedance tomography(EIT)imaging algorithm based on differential difference and boundary artifact suppression was proposed to eliminate the influence of incomplete symmetry of human head impedance distribution and significantly improve the actual imaging effect of symmetry difference EIT(SDEIT)algorithm.Methods On the basis of SDEIT algorithm,a bi-frequency redifference method was proposed to eliminate the imaging artifacts caused by the asymmetry of normal human head tissue,and a boundary region suppression imaging method was further proposed to achieve boundary artifact suppression,so as to comprehensively improve the imaging accuracy of SDEIT.Results Simulation results showed that under the real craniocerebral tissue impedance distribution,the new algorithm could effectively detect stroke lesions in different locations,different volumes and different types,and the imaging effect was significantly better than the traditional SDEIT algorithm.Conclusion The novel SDEIT algorithm proposed in this paper effectively solves the problem of inaccurate imaging of traditional SDEIT algorithm caused by incomplete symmetry of the real craniocerebral impedance distribution,and lays a good algorithm foundation for the application of EIT in the rapid detection of stroke in practice.

关 键 词：脑卒中 对称差分电阻抗断层成像 双频差分 边界伪影抑制 

分 类 号：R743.3[医药卫生—神经病学与精神病学] TP391.41[医药卫生—临床医学]