Simulation for dynamics of transient ischemic attacks with thermal infrared imaging

Abstract

Stroke is characterized by the sudden loss of blood circulation to an area of the brain, resulting in a corresponding loss of neurologic function in a patient. According to current methodological recommendations, it is possible to perform surgical and drug treatment to minimize the damage from acute stroke in the first 3-6 hours after the onset of transient ischemic attacks, which is often difficult to identity for emergency physician or clinician. Thermal infrared imaging could serve as a fast non-invasive test to detect asymmetrical pattern in facial temperature of patient as a predictor for vessel occlusion during acute stroke. We develop a software-driven model to simulate for dynamics of facial surface temperature distribution with transient ischemic attacks. The implemented model is designed to develop and debug algorithms for automated analysis of the temperature dysregulation at the processing of patient thermal infrared recording.