Time-Difference Electrical Impedance Tomography with a Blood Flow Model as Prior Information for Stroke Monitoring

Author(s)

Beraldo, R. G. ; Moura, F. S. ; Bastos-Filho, TF ; Caldeira, EMD ; Frizera-Neto, A

• Document type: Journal article
• Source: XXVII BRAZILIAN CONGRESS ON BIOMEDICAL ENGINEERING, CBEB 2020; v. N/A, p. 6-pg., 2022-01-01.

Abstract

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. (AU)

• FAPESP's process: 17/18378-0 - Encephalic hemodynamic monitoring using electrical impedance tomography
• Grantee: Roberto Gutierrez Beraldo
• Support Opportunities: Scholarships in Brazil - Master
• FAPESP's process: 19/09154-7 - Construction of dynamic models of the cerebral circulation for electrical impedance tomography applied in the classification and monitoring of cerebrovascular accidents
• Grantee: Fernando Silva de Moura
• Support Opportunities: Scholarships abroad - Research