A novel bi-frequency symmetry EIT algorithm for stroke detection based on differential difference and boundary suppression
ZHAO Zhibo
CAO Xinsheng
GAO Zhijun
WANG Hang
DAI Jing
WANG Chunchen
QIN Yilong
LIU Yang
DAI Meng
YANG Lin
FU Feng
Abstract：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.
Keywords：strokesymmetry difference electrical impedance tomographybi-frequency differenceboundary artifact suppression
Publication Date：2024-11-28
Online Publishing Date：2026-08-26(First online date of this platform, not the publication date of the document)
Pages：6( 1238-1242,1248 )