Time-Difference Electrical Impedance Tomography with a Blood Flow Model as Prior Information for Stroke Monitoring
XXVII Brazilian Congress on Biomedical EngineeringIFMBE Proceedings(2022)
摘要
Continuous monitoring of brain hemodynamics is important to quickly detect changes in healthy cerebral blood flow, helping physician decision-making in the treatment of the patient. Resistivity changes in the brain happen as a result of the pulsatile characteristic of the blood in the arteries or pathological conditions such as ischemia. We developed a dynamic model of cerebral circulation capable of portraying variations in resistivities in arteries within a cardiac cycle. From the hypothesis that the resistivity changes in the brain can be detected by Electrical Impedance Tomography (EIT), we included this model as prior information in time-difference image reconstruction algorithm. With this prior information, image reconstruction of the brain with pre-existing ischemia was possible, showing that EIT is a potential technique for brain hemodynamic monitoring.
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关键词
Blood flow model,Electrical impedance tomography,Difference imaging,Stroke
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