PEUNet:a multi-frequency electrical impedance tomography imaging method for the detection of cerebral hemorrhage lesions
TIAN Xiang
YE Jian'an
ZHANG Liangliang
ZHANG Tao
LIU Xuechao
SHI Xuetao
FU Feng
LI Zhongyu
XU Canhua
Abstract:Objective To propose a new multi-frequency electrical impedance tomography imaging method to realize the imaging of hemorrhage targets in brain model.Methods A PEUNet imaging method combining preprocessing module and improved UNet model was proposed.Firstly,the preprocessing module was used to initialize the lesion image,and then the attention module was used to improve the UNet model so that it focused on the critical features of the image and was used for the post-processing of the initial image to realize the imaging of intracranial hemorrhage targets.Results In the constructed multi-layer brain simulation model,PEUNet method accurately reconstructed the hemorrhage targets in various target distribution modes.Conclusion On the simulation model,the imaging of hemorrhage targets in the multi-layer brain model is realized,and the location and area differences between the reconstructed target and the actual target are negligible,which lays a solid foundation for the follow-up experimental research of multi-frequency EIT brain imaging model.
Keywords:multi-frequency electrical impedance tomographyattention moduleUNetimage reconstruction
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:5( 1233-1237 )
